A novel adaptation of FRAP quantifies the movement of Drosophila Basement Membrane Collagen in vivo

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Abstract A wealth of knowledge regarding the functions of Extracellular Matrix (ECM) macromolecules from in vitro or disease models strives for validation in intact animals. In particular, the progression of cardiomyopathies is tightly linked to pathological changes in the heart ECM. To address this in the Drosophila model, we developed a novel adaptation of fluorescence recovery after photobleaching (FRAP), which allows us to assess ECM protein incorporation during growth in living, intact larvae. Recovery of fluorescently tagged protein is a proxy for addition or relocation of ECM protein. We focus on Collagen IVα (Viking), a conserved protein thought to be a stable component of the basement membrane (BM). We established a time course for Vkg-GFP fluorescence accretion in three different BMs through larval development, under normal conditions and when Matrix Metalloprotease or its inhibitor, TIMP is overexpressed. We demonstrate that the gain and loss of Collagen trimers from the basement membrane changes over developmental time and between tissues. High variability in measured fluorescence reduced the sensitivity of this approach. During growth, a strong phasic wave of Vkg accumulation was detected at the second to third instar ecdysis, potentially supporting growth of the new instar. Between organs, flux of Vkg was high in somatic muscle, intermediate in the heart and low in trachea. Heart-specific overexpression of mmp2 and its inhibitor timp , modified the dynamics of Vkg-GFP flux. We find that MMPs are positive regulators of Vkg/Col IV turnover in the ECM, in alignment with current models of ECM regulation.
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In particular, the progression of cardiomyopathies is tightly linked to pathological changes in the heart ECM. To address this in the Drosophila model, we developed a novel adaptation of fluorescence recovery after photobleaching (FRAP), which allows us to assess ECM protein incorporation during growth in living, intact larvae. Recovery of fluorescently tagged protein is a proxy for addition or relocation of ECM protein. We focus on Collagen IVα (Viking), a conserved protein thought to be a stable component of the basement membrane (BM). We established a time course for Vkg-GFP fluorescence accretion in three different BMs through larval development, under normal conditions and when Matrix Metalloprotease or its inhibitor, TIMP is overexpressed. We demonstrate that the gain and loss of Collagen trimers from the basement membrane changes over developmental time and between tissues. High variability in measured fluorescence reduced the sensitivity of this approach. During growth, a strong phasic wave of Vkg accumulation was detected at the second to third instar ecdysis, potentially supporting growth of the new instar. Between organs, flux of Vkg was high in somatic muscle, intermediate in the heart and low in trachea. Heart-specific overexpression of mmp2 and its inhibitor timp , modified the dynamics of Vkg-GFP flux. We find that MMPs are positive regulators of Vkg/Col IV turnover in the ECM, in alignment with current models of ECM regulation. Extracellular matrix (ECM) basement membrane (BM) fluorescence recovery after photobleaching (FRAP) Collagen IV/Viking protein turnover heart/cardiac Drosophila melanogaster Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Introduction The heart is an organ that experiences constant mechanical stress. This stress is moderated by the cardiac extracellular matrix (ECM), a dynamic network of proteins, growth factors, and signaling molecules. The heart undergoes fundamental changes, such as size increase and contractility during growth and disease, but how does the ECM accommodate this? Here we explore a novel method to determine how new molecules enter and exit a beating heart in an intact model organism, to better understand the dynamic molecular nature of the cardiac ECM and compare this with other tissues. Regulation of ECM integration and remodeling during growth is understudied, despite being critical for all organ systems, including heart growth and function. A central limitation is tracking protein turnover in vivo . Recent studies in intact C. elegans employed proteomics and fluorescence sampling to reveal that different collagens are stabilised or turned over during aging ( 1 , 2 ). In contrast to potentially 181 Collagen genes in C. elegans , there are four in Drosophila (Reinhardt et al., 2023; Teuscher et al., 2019). Over the short term, Fluorescence Recovery After Photobleaching (FRAP) experiments in C. elegans reveal no turnover of basement membrane Collagen IVα1, while ECM cross-linking components such as Perxodasin, γ-Laminin and Nidogen recover over several minutes ( 1 ). Collagen IV and Laminin are known to form interconnected scaffolds early in BM formation, and are therefore more stable than other, more mobile ECM proteins ( 1 ). FRAP experiments in Drosophila to date have also been short-term, and performed in immobile, transparent embryos, dissected pupae, ovaries or imaginal discs ( 5 – 8 , 8 – 12 ). Greig and Bulgakova (2021) performed FRAP in the epidermis of live late-stage Drosophila embryos to demonstrate that E-cadherin signal recovers by both diffusional and endocytic recycling mechanisms. Similarly, FRAP in Drosophila embryos has revealed turnover of myosin during epithelial wound repair ( 7 ). In Drosophila embryos, hemocytes are predominantly responsible for secretion of ECM proteins Laminin, Collagen, SPARC, and others ( 13 , 14 ). Post-embryonically, epithelial cells secrete ECM proteins such as Laminin and Syndecan to guide formation of their overlying ECM, but body-wide production of Collagen is primarily from the fat-body (Broadie et al., 2011; Pastor-Pareja & Xu, 2011; Zang et al., 2015, Supplementary table 4). Post-embryonically, FRAP has been employed in Drosophila imaginal discs to evaluate morphogen trafficking ( 6 , 12 ). In the Drosophila ovary, FRAP has been used to study dynamics of ER-derived fusome membranes as well as cortical actin organization dynamics ( 9 , 11 ). To our knowledge, FRAP has never been used to assess protein accretion or turnover in the living Drosophila larva, which is physically active and grows considerably from hatching to pupation. We developed a novel adaptation of FRAP to measure incorporation of Col IVα2 (Viking, Vkg) during larval growth stages in live Drosophila , employing the Vkg-GFP protein trap developed by Morin et al., (2001). Enhanced GFP (eGFP) is easily and irreversibly photobleached ( 19 , 20 ). In this model, the endogenous vkg gene is modified with a GFP sequence, so gene copy number or enhancer properties are not modified as in other transgenic approaches. For example, a pulse of a vkg-GFP transgene might facilitate protein tracking, but with the consequence of over-supply of one protein in a trimer. A change in fluorescence of endogenous Vkg is a proxy for accretion or relocation of Col IV. Interpreting a change in Collagen fluorescence as ‘turnover’ is imprecise in an open system like the basement membrane (BM), as change may reflect movement of the trimer laterally in the BM, exchange with free trimer in the hemolymph, digestion, denaturation or shape change of the supported tissue. To this end, we developed a simple mathematical model to estimate the contribution of Col IV loss and gain, or flux, by comparing the values obtained from FRAP with control BM. Collectively, changes in ECM content or organisation have been termed "turnover", or "remodeling" although multiple processes are involved. The Drosophila heart is a linear pump, with valves and an open circulatory system, and is in near constant motion as larval feeds and moves by peristalsis ( 21 ). All these features require both elasticity and tensile strength, suggesting a need for consistent protein flux. For contrast, we examined tissues with other biophysical challenges. Somatic muscle, inserted in the body wall, experiences intermittent stretch in one direction. The trachea requires an inelastic non-contractile ECM and is the most rigid in the body cavity (Hayashi & Kondo, 2018; Öztürk-Çolak et al., 2016). Further, we elected to estimate flux at times in larval development when ECM is modified or replaced. Molting is the process through which an animal casts off old feathers, skin, hair, or shell to make way for new growth. In reptiles, arthropods such as Drosophila , and other insects, molting is specifically known as ecdysis. Ecdysis is controlled by hormones, namely the steroid hormone 20-hydroxyecdysone (20E), as well as several neuropeptides that modulate neural activity ( 24 , 25 ). During ecdysis, tissues and their associated ECM are thought to undergo substantial remodelling to meet the demands of a rapidly growing larval body (Bonnans et al., 2014; Hughes, 2018; Hughes et al., 2020; Page-McCaw et al., 2007). Gene expression for replacement of cuticle as well as proteolytic activity of matrix metalloproteases (MMPs) are upregulated during ecdysis in many insects ( 30 – 33 ). Here we reveal a developmentally dependent time course of Vkg-GFP accumulation in the cardiac and somatic body wall muscle ECM of Drosophila larvae. We also show that mRNA transcript levels derived from whole-body larval preps do not reveal a crucial role for gene transcription in the regulation of ECM accumulation and turnover during larval growth. Many enzymes that contribute to ECM assembly and turnover have been identified, but their in vivo activity is not well characterised. We have applied the FRAP approach to quantify changes in Collagen levels after modifying the activity of proteases known to participate in remodeling of the ECM ( 34 – 36 ). Many key enzymes, such as matrix metalloproteinases (MMPs), a disintegrin and metalloproteinases (ADAMs), and ADAM with thrombospondin motifs (ADAMTSs) as well as their inhibitors, tissue inhibitors of matrix metalloproteinases (TIMPs), regulate proteolysis and hence contributes to turnover of ECM components ( 37 , 38 ). Here we focus on one of the two Drosophila MMPs, MMP2, and the single Drosophila TIMP, a broad spectrum MMP inhibitor. Previous work in our lab investigated the roles of both MMP1 and MMP2 on heart growth and ECM dynamics. Reduced MMP1 function in the embryo resulted in myofibrillar disorganization. Manipulating its activity in larvae did not perturb heart or ECM morphology. Decreasing the level of MMP2 activity only during larval stages resulted in increased density and aberrant localization of Pericardin (Prc) and Vkg Collagens (Hughes et al., 2020). Conversely, increased TIMP expression phenocopied MMP1/2 depletion. These findings prompted us to investigate the impact of manipulated MMP2 and TIMP activity on Vkg turnover at larval stages, using FRAP. We show that mmp2 and timp overexpression driven by the cardiac and heart-adjacent pericardial cells alter accumulation and turnover of Vkg in the cardiac ECM. Here we report the adaptation of FRAP to live, intact Drosophila larvae in second and third instar larvae. Through a novel adaptation of FRAP in a well characterised model we show that recovery of fluorescence is a proxy for accumulation of Vkg-GFP into a photobleached zone and can be used to estimate protein gain and loss. We report the gain and loss of Collagen trimers from the basement membrane, which changes over developmental time and between tissues. Results Novel FRAP does not alter organization of ECM proteins Recent work suggesting tangible turnover of ECM protein, including Collagen, has relied upon studies of in vitro, in ovo , or fixed tissue (Greig & Bulgakova, 2021; Van De Bor et al., 2021; Teuscher et al., 2024). Of particular interest to our study was the cardiac ECM, implicated in cardiac growth and cardiomyopathies. We aimed to track Collagen IV turnover in vivo , using an adaptation of fluorescence recovery after photobleaching (FRAP). We have developed a protocol enabling the visualisation, photobleaching, and subsequent re-imaging of tissues close to the cuticle of intact larvae and established that third instar larvae robustly recover over a 24hr recovery period (Fig. 1 ). We first sought to establish that photobleaching does not alter the structure of the Collagen matrix in the basement membrane (BM) of intact animals. We photobleached third instar larvae of the genotype Vkg cc0079 1 , and subsequently dissected and immunolabeled them with an anti-Vkg primary antibody (Fig. 2 ). Vkg cc0079 1 , hereafter Vkg-GFP , is a ‘protein trap’ allele of Drosophila in which GFP is inserted as an exon that fluorescently tags Collagen in vivo (Buczsak et al 2007). Strong (52mW) laser irradiation was sufficient to damage immunodetectable Collagen and elicit hemocyte targeting to the injury (Fig. 2 A). In contrast, low (1.95mW) intensity irradiation was sufficient to photobleach Vkg-GFP and leave Collagen organisation unaltered. We also examined the possible impact of FRAP on Pericardin (Prc), a fibrous Collagen-like protein located in the cardiac interstitial matrix. Pericardin is required post-embryonically to maintain cardiac architecture and connection to adjacent tissue (Cevik et al., 2019; Rotstein & Paululat, 2016). Immunolabel of fibrous Prc revealed a preserved network of fibrils, unaltered in their pattern of length, branching or alignment (Fig. 3 ). These findings reveal that FRAP does not alter the in vivo organization of Vkg or Prc in the cardiac ECM. Regulation of Vkg-GFP accretion is stage- and tissue-specific Having established the feasibility of in vivo FRAP, we enquired whether growth and maturation of the ECM during larval development is reflected by changes in Vkg-GFP fluorescence in a standardized region of interest (ROI). Fluorescence change was measured by comparing initial fluorescence intensity to fluorescence intensity after 24h in both the cardiac and somatic body wall muscle ECM. Both tissues experience growth and mechanical stress, although heart movement is more continuous and occurs in more directions (Fig. 4 ). We focused on larval muscles 21, 22, and 23, also known as lateral transverse muscles (LT) 1–3, in segment A7, (Supplementary Fig. 1). These muscles were selected because are easily and reliably identified beneath the cuticle via confocal microscopy ( 41 , 42 ). Although somatic muscles generate forces needed for feeding, locomotion, and hatching, the specific roles for larval muscles 21, 22, and 23 remain unclear ( 41 , 43 ). Effective photobleaching within the 66 x 33 µm ROI was affected by occasional movement of the animal under light anesthesia. To control for this and possible lateral diffusion of Collagen in the ECM, we quantified a smaller ROI of 33 x 33 µm nested within the original ROI (Supplementary Fig. 2). Average values for the post-bleach time point were far lower when measured in the nested ROI (33 x 33 µm) relative to the larger original ROI, which more accurately reflects the extent of photobleaching. As anticipated, the averaged fluorescence of the larger ROI was greater. Therefore, we based our analysis on the smaller, enclosed ROI. Anticipating that tissue remodeling is elevated during the molt from second to third instar, we compared FRAP on late second instar (24–26 hours after hatching) with larval growth during early and mid-third instar stages. We measured Vkg-GFP fluorescence accretion after 24 hr in all experiments, having determined that recovery was more variable if larvae were handled and imaged after shorter recoveries. In contrast to the continuous record for in vitro FRAP, a single 24 hr 'snapshot' averages turnover, underestimating short term rates of change. The snapshot included molting for the late second instar group. We also measured fluorescence accretion in “sham” controls (Fig. 4 ) to estimate Vkg accumulation in unbleached, equivalent tissue. In cardiac sham control tissue, the normalized change in fluorescence over 24h did not change significantly from late second to mid third instar (Fig. 4 M). Net new fluorescence over 24h in the cardiac ECM was highest at the early third instar stage in photobleached (FRAP) zones and in the control zone (Fig. 4 M). This suggests Collagen turnover without net gain. In contrast, somatic muscle revealed the largest fluorescence gain in late second instar, dropping through later stages, suggesting net increase in muscle Collagen (Fig. 4 M). These estimates were not corrected for animal growth, thereby underestimating the fluorescence gain. Growth of recovered ROIs was variable, averaging a 6% underestimate of gain. These findings indicate tissue- and stage-dependent regulation of Vkg-GFP accumulation. Therefore, we asked if it is possible to attribute differences to different rates of loss and addition of Collagen, reflective of dynamic flux? Model for estimation of fluorescence loss and gain Change in fluorescence of Vkg-GFP, a proxy for net change in Vkg protein levels, reflects net new fluorescence (residual plus new protein), including possible lateral movement within the BM and not accounting for potential fluorescence decay in situ . The FRAP model has the potential to estimate both gain and loss of Vkg-GFP. For both heart and muscle there is net new fluorescence after FRAP. However, control tissue can reveal a net loss over the same period. Assuming that Vkg-GFP is lost and gained at the same rate for both the photobleached and control ROI, the apparent contradiction may reflect different rates of addition and loss. All the Vkg leaving the control ROI is fluorescent, and only a fraction of the Vkg leaving the FRAP ROI is still fluorescent (Fig. 5 B). This fraction is estimated by dividing the fluorescent signal after photobleaching by the pre-bleach fluorescence intensity value. Using the fluorescence levels at pre-bleach, immediately post bleach, and 24 hours post bleach timepoints, we can calculate the proportion of fluorescence lost and gained by solving for two equations with two variables (Fig. 5 A). This approach cannot detect gain that is also lost within the 24-hr recovery. Given that bleached ROIs at 24 hr fluoresce less than controls, the underestimation of gain and loss should be small. Vkg-GFP turnover is stage- and tissue-specific We calculated loss and gain of fluorescence and interpreted them as proxies for loss and gain of Vkg protein. In cardiac tissue, the rate of loss appeared to be stable, and gain dropped significantly from early to the mid-third instar stage (Fig. 5 C). Similarly, the rate of gain decreased significantly, and the rate of loss increased in somatic body wall muscle ECM throughout larval development (Fig. 5 C). The decline in Vkg signal throughout larval growth in the body wall muscle aligns with the poor net fluorescence recovery seen in the third instar body wall muscle ECM. We next extended our analysis the ECM of an inelastic tissue, the larval trachea. The branched tracheal network spans the length and width of the larval body. We qualitatively observed poor recovery of Vkg-GFP in photobleached branches from the main tracheal trunks near the heart and subsequently determined fluorescence recovery of Vkg-GFP as previously described. In early third instar female larvae, fluorescence accumulation was highest in the tracheal ECM in sham control tissue (Fig. 6D). Conversely, Vkg-GFP accretion was lowest in FRAP tissue of the tracheal ECM, both suggestive of low rates of Vkg loss (Fig. 6D). Vkg-GFP flux was highest in the cardiac ECM and lowest in the tracheal ECM (Fig. 6D). Altered matrix protease activity modifies Collagen turnover in the cardiac ECM ECM regulatory enzymes matrix metalloproteinases (MMPs), which digest ECM protein, and their inhibitor tissue inhibitor of matrix metalloproteinases (TIMP), are key to maintaining the balance between protein degradation and synthesis or deposition. Altered MMP and TIMP activity can lead to pathological states through modified ECM protein composition, organization, and remodelling ( 44 ). We used the heart-specific driver Hand-GAL4 to overexpress mmp2 and timp in third instar larvae. Second instar larvae were considerably smaller, and experienced decreased viability following FRAP relative to third instars. Combined with the reduced survival of larvae overexpressing mmp2 and timp , we focused exclusively on more robust third instar larvae (Hughes et al., 2020). Heart-specific overexpression of mmp2 did not significantly alter Vkg-GFP fluorescence recovery relative to wildtype ( vkg-GFP heterozygotes) in the cardiac ECM of early and mid-third instar larvae (Fig. 7 G). A non-significant increase in Vkg-GFP gain and loss was evident in the early third instar. (Fig. 7 H). In contrast, Vkg-GFP fluorescence recovery and flux significantly decreased after timp overexpression relative to controls in the mid-third instar cardiac ECM, and to a lesser degree in early third instars, suggesting that TIMP is implicated in stabilizing Collagen turnover (Fig. 7 G and H). A possible effect of the homozygous vkg-GFP allele or Hand-GAL4 insert on fluorescence change was assessed and found to be not significant (Supplementary Fig. 5). We evaluated possible distant effects of heart-specific mmp2 and timp overexpression on fluorescence recovery and Vkg-GFP turnover in body wall muscle. Overexpression of mmp2 did not affect Vkg-GFP fluorescence recovery or Vkg-GFP flux in the body wall muscle of early and mid-third instar larvae (Fig. 8 G and H). In contrast, heart-specific overexpression of timp increased Vkg-GFP accumulation in sham control tissue and significantly decreased calculated loss at both stages (Fig. 8 G and H). The UAS-timp insert has ectopic or “leaky”, expression, affecting Vkg turnover in the body wall muscle, as noticed in previous studies (Hughes et al., 2020). We assessed Vkg loss and gain with driverless timp overexpression and similarly observed reduced Vkg turnover, although this difference was not statistically significant (Supplementary Fig. 4D).From these results we can surmise that timp overexpression affects homeostatic Vkg turnover by decreasing Vkg loss. ECM and ECM-associated gene transcript levels vary little throughout larval development The expression of ECM and ECM-related genes fluctuates in disease states, and throughout development and growth ( 45 , 46 ). We sought to assess this by examining whether changes in gene expression underlie the differences in Vkg accretion and estimated turnover between larval stages. To this end, we quantified changes in mRNA transcript levels in late second, early-third and mid-third instar larvae, by qPCR on RNA isolated from whole larval bodies. Transcript levels of ECM structural proteins: Laminin, Integrin and Perlecan ( lanA, mys, trol, wb ), Collagens (also structural; Cg25C, prc, vkg ), enzymes active in the ECM: matrix metalloprotease and tissue inhibitor of metalloprotease ( mmp1, mmp2, timp ), Collagen modulators ( loxl1, SPARC ), and the moulting initiator ( ETH ) were determined (Fig. 9 ). See Supplementary table 5 for a description of all targets and their human orthologs. Expression of structural genes ( lanA, mys, trol , and wb ) as well as Collagen Cg25C were highest at late second instar (LL2) and lowest at early third instar (EL3), suggestive of decreased expression between molts. Transcript levels of ECM proteases mmp1 and mmp2 and their inhibitor timp were highest at mid-third and lowest in early third instar, indicating decreased expression between molts and increased expression prior to pupation. In contrast, both vkg and prc increased as larvae grew into third instar. None of these transcript level changes were statistically significant, suggesting that transcription or transcript half-life are not key regulators of change in the larval ECM. Transcript expression levels for vkg were significantly higher in larvae of the genotype Vkg-GFP ( Vkg cc0079 1 ) relative to yw at each developmental stage (p-values < 0.0001) (Supplementary Fig. 3). The Vkg-GFP protein trap consists of a transposed GFP exon in an intron of the endogenous Vkg gene, so that Vkg coding an N terminal GFP is under control of the vkg promoter. Vkg-GFP exhibits subcellular and tissue localization akin to endogenous Vkg , and is believed to not disrupt upstream or downstream splicing events ( 18 ). It is possible that the location of the GFP insert within the Vkg sequence is limiting degradation of the vkg transcript. We had included ETH (ecdysis triggering hormone) in the hope of correlating molting with our transcript levels. ETH is considered a master regulating hormone of ecdysis, and the developmental timepoints selected for this assay span ecdysis ( 47 ). FlyBase’s RNA-Seq By Region tool reports high ETH levels in pooled L2 larvae (Öztürk-Çolak et al., 2024). Our data suggests this drops before ecdysis. Further comparisons with the Flybase dataset were limited by a lack of statistics and different sampling windows. Discussion Incorporation of BM proteins into a functional matrix over the course of organismal growth is poorly understood. To better compare the addition and turnover of the Drosophila Collagen IVα1, or Vkg across different tissues, we developed a novel adaptation of FRAP for live, intact Drosophila larvae. This technique allows us to measure fluorescence recovery of the protein trap Vkg-GFP, which we use as a proxy for accretion of the Vkg protein over a 24-hour recovery period, extending the time-course of previous photobleaching studies. Studies in C. elegans , which lack a heart, employed FRAP, or FRAP-adjacent techniques to study protein turnover in vivo ( 1 , 48 , 49 ). They revealed that rates of protein turnover vary between tissues and decrease with age. Pulse-chase tracking of ECM in Drosophila embryos suggests a short half-life for BM Collagen Matsubayashi et al., 2020). The role of ECM proteases in metamorphosis has been tracked in intact pupae (Davis et al., 2022). Here we provide the first report of in vivo ECM protein turnover in intact Drosophila larvae. Vkg-GFP content of basement membranes varies with developmental time and tissue type Our results indicate that an Argon laser intensity of 1.95 mW is sufficient to photobleach the GFP portion of the Vkg-GFP protein trap without affecting the immunoreactivity or ECM incorporation of the Vkg protein. Our findings also indicate that the organization of Prc, a fibrillar Collagen in the same matrix, is not perturbed by FRAP. We next evaluated whether maturation of the ECM during larval growth and development can be tracked through changes in Vkg-GFP fluorescence in a region of interest (ROI). Ecdysis (or molting) between larval instars provides a phasic ECM remodeling event to analyse ECM turnover. The tissues characterised here are each linked indirectly to the new cuticle. The heart and alary muscle reorganize their insertions, which may entail increased remodeling ( 50 , 51 ). The difference in Collagen deposition between body wall muscle and the heart is most pronounced during molt to the third instar. Net gain was greater in body wall muscle, possibly reflecting the remodeling of muscle and tendon cells as they insert into new cuticle. During growth stages in the third instar, somatic muscle experienced a net loss of Vkg, while heart Collagen fluorescence revealed no consistent trend. This was unexpected as we anticipated that growth and the constant movement of the cardiac ECM would require more remodeling, including more removal of photobleached Collagen. Instead, the results suggests that the cardiac ECM is more stable at all stages, with lower Vkg turnover relative to the body wall muscle ECM. This might be attributable to increased crosslinking in heart ECM. Growth of the tissue in the ROI after photobleaching led to an estimated 6% allometric underestimation of Vkg accretion. Analysis of net change did not uncover the balance of loss versus gain of Collagen molecules during remodeling, which prompted us to seek a model to track Vkg movement. Vkg-GFP addition and loss are stage- and tissue- specific The assessment of fluorescence change of Vkg-GFP is a proxy for net change in Vkg protein levels but does not allow for direct measurement of protein turnover. Turnover includes both addition and loss, and if balanced, would not alter measured Collagen fluorescence. To determine the rate of turnover, we developed a mathematical model to calculate the estimated loss and gain of Vkg over our 24-hour recovery period. By photobleaching Collagen in one region of interest (ROI) and considering protein addition or loss as equivalent to a control ROI, we can estimate the rate of loss of photobleached Collagen by contrasting the change in fluorescence between both ROIs. Loss of photobleached Vkg-GFP would not change fluorescence. Anticipating that Vkg turnover would be highest during the second instar molt, we compared calculated loss and gain of Vkg between late second, early, and mid-third instar larvae. The rate of Vkg loss appeared fixed in cardiac tissue. Calculated addition of new Collagen was significantly lower in mid-third instars relative to late second and early third instars. We observed a net increase in Vkg-GFP fluorescence in body wall muscle ECM after molting of the second instar larvae. The gain of Vkg becomes less after ecdysis in both tissues, perhaps indicating a decreased need for protein deposition. While the rate of loss did not change in the heart across time, the loss of Vkg protein increased in muscle. We extended our assessment of Vkg fluorescence recovery and turnover to the larval trachea, an robust network of inelastic epithelial tissue often used as a model to study tissue morphogenesis ( 52 , 53 ). Vkg-GFP fluorescence recovery and calculated turnover in photobleached ROIs were substantially lower in the tracheal ECM relative to other tissues. Interestingly, Vkg accretion in control tracheal tissue was found to be elevated relative to that seen the cardiac and body wall muscle ECM. Together, the mathematical model interprets this as a low rate of Vkg loss in the tracheal ECM. This is consistent with higher levels of Collagen crosslinking in rigid trachea ( 22 , 54 ). ECM and ECM-associated gene transcript levels change throughout larval development Rates of Collagen gain and loss appear to be correlated with tissue type, elasticity, and developmental stage. Nevertheless, multiple tissues with different ECMs obtain most or all of their Collagen from a central source, the Drosophila fat body, which secretes Collagen into the hemolymph for distribution ( 16 ). Insertion and crosslinking of Collagen from the hemolymph to diverse tissues is local, and after embryogenesis, not mediated by fibroblast-like cells as for vertebrates ( 55 – 57 ). How much of the regulation of ECM production can be at the genetic level? We sought to detect changes in ECM and ECM-associated gene transcript levels through larval development to determine how much change in ECM production is regulated transcriptionally. Unexpectedly, whole-body mRNA levels for most ECM genes of interest, including many that are cell autonomous (Laminins, Integrins, crosslinkers and proteases) were not statistically different across the three developmental stages assayed ( 1 , 58 – 61 ). As the hemolymph remains a reservoir for unincorporated Collagen IV trimer, local factors, as opposed to supply, may regulate the rate of Vkg accretion. Some locally synthesized ECM proteins, such as Laminin will exhibit tissue-specific changes in transcript expression that would not be detected with a whole organism approach. Organ-specific mRNA isolation is impractical with Drosophila – particularly with the heart, which is associated with polyploid non-contractile pericardial cells ( 21 ). We detected higher mRNA expression of vkg in larvae of the genotype vkg-GFP compared to wildtype larvae at each larval stage. It is plausible that the location of insertion of the GFP exon within the vkg coding sequence interferes with the degradation of vkg transcripts ( 18 ). Taken together, our results show that ecdysis accelerates Vkg accretion in both the cardiac and body wall muscle ECM. Our data on calculated Vkg gain and loss reveal that each flux is differentially regulated between cardiac and body wall muscle and tracheal ECM, as well as between larval developmental stages. Developmental changes are not strongly linked to variation in matrisome transcript levels, and likely reflects changes in local kinetics of protein exchange between the hemolymph and the ECM. Altered matrix protease activity modifies Collagen turnover in the cardiac ECM Post-embryonic remodeling of the ECM in living animals is not well studied. Recently, Teuscher et al. (2024) revealed that coordinated ECM remodeling through mechanotransduction is required and sufficient to extend lifespan in C. elegans . Our work reveals that rates of addition and loss of Collagen from the ECM varies by tissue and developmental stage. Proteases are believed to be the major players responsible for protein loss from the ECM. During Drosophila embryogenesis, MMP1 is required for incorporation of new Collagen into the nascent basement membrane and is thought to maintain pliability of the Collagen matrix ( 49 ). MMP1 has also been shown to be crucial for accumulation of Vkg at the leading edge during wound closure in Drosophila embryos and is therefore important for wound closure and re-epithelialization. Expression of TIMP inhibits this process ( 62 ). We have previously determined that the modified MMP1 activity had little effect on the larval heart, while MMP2 is required for post-embryonic heart development and removal of excess Collagen. Similarly, this is inhibited by TIMP (Hughes et al., 2020). We sought to extend our understanding to the level of Collagen turnover. Our findings provide further evidence that heart-specific overexpression of mmp2 and timp perturbs the intrinsic turnover of Vkg in the third instar cardiac ECM. For instance, overexpression of mmp2 results in greater Vkg-GFP fluorescence recovery and Vkg flux relative to wildtype in the early third instar cardiac ECM. In the process of removing Collagen, it appears that MMPs reveal openings to assemble new ECM networks. We noted a more dramatic effect of timp overexpression relative to mmp2 overexpression on net Vkg-GFP fluorescence recovery. This is in accordance with a more severe cardiac phenotype with altered timp activity previously reported (Hughes, 2018; Hughes et al., 2020). Drosophila produce a single TIMP protein, which inhibits multiple proteases, including MMP1/2 and ADAMTS ( 63 , 64 ). In the cardiac ECM of third instars, timp overexpression leads to decreased Vkg-GFP fluorescence recovery. Overexpression of timp in the Drosophila embryo phenocopies loss of mmp1 , whereby Vkg accumulation and wound closure are impaired ( 62 ). Our findings are consistent with a requirement for protease and protease inhibitor activity to remove and replace Collagen in the basement membrane. When less Collagen is removed, less will be added. Altogether our findings show that regulation of Vkg protein turnover, and likely also protein crosslinking are tissue and stage dependent. Increasing the activity of the ECM protease mmp2 led to more Vkg turnover in the early third instar cardiac ECM, whereas increased timp appeared to decrease Vkg turnover in the cardiac ECM. It is probable that additional factors, such as protein modification and cross-linking contribute to differences in protease mediated Collagen turnover between organs and stages. Prospects for ECM studies in vivo Despite the important value of non-invasive studies of the ECM in vivo , the approach is infrequently chosen. Inevitable tissue movement, animal resampling, re-identification of ROIs, and potential stress from handling and irradiation are disincentives for quantitative study. Repeated sampling from a living organism introduces more sources of variation and reduces the number of statistically significant observations. Individuals may vary in optical diffraction and transparency at different ages, as well as the optical depth to the tissue of interest. There is no endogenous calibration for this, so measured fluorescence for each tissue type is assumed to be proportional to the number of tagged GFP molecules. We also note that natural decay of fluorescence, growth of the tissue, and molecules added and lost within the recovery period all contribute to an underestimation of gain and flux. Most significant outcomes reported here are relative increases in flux, despite this bias. There are uncertainties with the use of tagged proteins that may bias quantitative interpretation. Our study, and others employ "protein trap" GFP inserts, which modifies only the endogenous gene ( 1 , 18 ). As Vkg transcript rises through development in both wildtype and Vkg-GFP genotypes, we expect, despite the higher transcript level of Vkg-GFP in larvae relative to wildtype, that the rise seen in our GFP trap larvae reflects wildtype dynamics. However, the half-life for fluorescence in a GFP protein trap is unknown. Estimates from other in vivo models suggest a fluorescence half-life triple our experimental time course ( 65 ). The relative stability of Vkg-GFP in the ECM compared with untagged Vkg is also not known. Our mathematical model is successful in revealing changes in the flux of Collagen. However, it forces high loss and gain when fluorescence intensity values are very different between photobleached and control tissue. Incorporating corrections for the suggested factors that affect GFP fluorescence may compensate for this bias. Development of intramolecular FRET GFP variants as protein traps may enable pulse-chase studies for more direct assays of matrisome turnover ( 66 ). Conclusions For the first time, turnover of endogenous protein in the ECM of a growing heart and muscle have been characterised in a non-invasive manner. Our findings reveal that there is both loss and accumulation of Collagen during larval development and growth that varies between tissues and correlates with tissue elasticity. Although less precise than studies in vitro or in ovo , it is essential to corroborate and extend insights from biologically constrained models to intact organisms. We believe that our approach can be applied to estimate turnover of other fluorescent proteins in vivo in transparent organisms such as C. elegans , Drosophila and Zebrafish ( Danio rerio) . Despite the inherent variability of in vivo imaging, this study establishes that the ECM of the basement membrane undergoes constant turnover and suggests a relatively short half-life of Collagen in active, moving tissue. Turnover appears to be greater when tissue remodeling, associated with insect molt, is higher. The model also provides in vivo evidence for protease activity in flux of Collagen in the basement membrane. Other studies have suggested a role for SPARC, Peroxidasin, Nidogen and Lysyl Oxidase in Collagen IV stabilisation that can now be validated and related to ECM pathologies such as cardiac fibrosis. Experimental procedures Fly stock maintenance and stocks Flies were reared on yeast-based solid food in polystyrene vials at room temperature (22–23°C) unless otherwise indicated. For a list of all fly stocks used, see Supplementary Table 1. Larval collections To collect larvae for FRAP and qPCR experiments, flies were placed in collection chambers comprised of a 100 mL plastic chamber, inverted over a 60mm plate of 10 ml standard fly medium. Houses were set up to contain roughly 50–70 flies, using a 2:1 female to male ratio, and placed in a 25°C incubator. After 48h acclimatisation, newly hatched first instar larvae (24h after egg fertilization) were hand-picked and moved to another food plate. Larvae were then collected at three different timepoints: late second instar (24-26h after hatching), early third instar (48-50h after hatching), and mid-third instar (76-78h after hatching). Developmental stages were confirmed with larval mouth hooks. Slight differences in developmental time were noted between genotypes and were accounted for. The genetic background of both Vkg-GFP and yw flies is wildtype Canton S. The control genotype used for mmp2 and timp overexpression experiments was Hand-GAL4, Vkg-GFP/Cyo-YFP , which, like the experimental crosses, is heterozygous for Vkg-GFP. In Figs. 2 – 4 , homozygous Vkg-GFP was used as the wildtype. We observed that fluorescence recovery in homozygous individuals ( Vkg cc00791 ) was lower in the cardiac and body wall muscle ECM compared to individuals heterozygous for Vkg-GFP. Larval freezing for qPCR For qPCR experiments larvae of the Vkg-GFP and yellow white (yw) genotypes were collected and frozen. Late second instar, early third and mid-third instar larvae were collected for qPCR as described. Nuclease-free snap tubes containing RNAse-free PBS (100 µl) were prepped. For both the early third and mid-third instar collections, five larvae were collected per tube. Ten larvae per tube were collected for late second instars owing to their smaller size. Snap tubes were immediately flash-frozen in liquid nitrogen and stored at -80°C. Larval dissections Dissections were performed in early third instars according to the protocol adapted from ( 67 ). All steps were performed at room temperature unless stated otherwise. Live larvae were immobilized ventral side up using tungsten dissection pins magnetically adhered to a dissection plate. Larvae were bathed in phosphate-buffered saline (PBS), then fine iridectomy scissors were used to deflate the larva by making the first incision at the anterior end to avoid disrupting the fat bodies and cardiac muscle attachments. The first incision was extended along the ventral midline to the posterior extremity. The cut cuticle was then pinned on either side of the larva to expose the contents of the body cavity. Intestines and posterior fat bodies were removed. Tracheal branches were left intact to limit damage to the alary muscles suspending the heart in the body cavity. Dissected larvae were fixed using 4% formaldehyde in PBS in the dissection plate for five minutes at room temperature, then placed on ice in a 48-well plate containing the same fixative solution. Once all dissections were complete, they were allowed to fix at room temperature in the 48-well plate for 15 minutes prior to immunolabeling. Immunolabeling The immunolabeling protocol used was adapted from Alayari et al. (2009). All steps were performed at room temperature unless otherwise specified. After removing the fixative solution, dissections were washed three times for ten minutes in 1X PBT (1X PBS + 0.3% Triton). Dissections were then blocked with 10 µL normal goat serum (NGS) in 150µL PBT for 30 minutes prior to the addition of 5 µL primary antibody (1:30) in 150 µL PBT and left to incubate at 4°C overnight with constant shaking. The following day the dissections were again washed three times in PBT, then blocked with NGS as described. Samples were then incubated with 1 µL of the secondary antibody (1:15) and 2 µL of Alexa 647 Phalloidin (1:75) in 150 µL PBT for one hour at room temperature with continuous shaking. A final round of three PBT washes was performed, followed by a ten-minute wash in 1X PBS to remove the Triton. Upon removal of PBS, dissections were placed in 50% glycerol in PBS at 4°C for three hours or overnight, the transferred to 70% glycerol before imaging. See Supplementary table 3 for a complete list of antibodies used. Confocal imaging Frontal stacks Z-stacks were taken at 200 Hz with a step size of 1 µm at a resolution of 1024 x 512 pixels on a Leica SP5 confocal microscope. Settings were kept constant across all experiments. A 20X objective was used in FRAP experiments and to image dissected and immunolabeled samples. A 63X objective was used to image immunolabeled Pericardin to assess fiber orientation. Pinhole sizes of 60 and 95 µm were used with the 20X and 63X objectives, respectively. Sequential scanning was used to avoid crosstalk between channels (488, 647, and 543 nm) when imaging immunolabeled dissections. Only healthy, feeding and motile larvae were re-imaged at the 24h recovery timepoint. All sampling was made over a 4 hr midday window to eliminate potential circadian effects ( 69 ). Projections of stacks were generated using the Leica LAS AF software. Only the Argon laser was used for FRAP experiments. Argon laser power was set to 15%, unless otherwise specified. Unaltered images were used for quantification but were adjusted for brightness for publication. Fluorescence recovery after photobleaching (FRAP) for live, intact larvae The FRAP protocol used below was also previously described in (MacDuff, 2019). See Supplementary Information for the complete protocol. First, larvae were anesthetized with chloroform in order to immobilize them, as described by Cevik et al. (2019). Prior to mounting larvae for imaging, a thin layer of halocarbon 27 oil (polymer of chlorotrifuoroethylene (PCTFWE)) was painted between two 1.5mm coverslips, 5mm apart on a microscope slide. This ensured that the larva does not stick to the slide or overlying coverslip. Anesthetized larvae were then laid dorsal side up on the slide, and a third cover slip secured over them with tape. A small drop of immersion oil was dispensed onto the overlying coverslip, and body segment A7 centred in the field of view. To obtain 3D projection of the pre-bleach stack of images, laser power was set to 15%. Number of images within a stack was between 80–100 for the heart and 50–70 for the muscle to encompass the region of interest, excluding the cuticle or other structures. The ROI (66x33 µm) was then placed over the region of interest at 12X zoom. Laser intensity in the photobleached zone was set to 3% (1.95 mW). Following the photobleaching period, Argon laser power was set to 15%, as before. A post-bleach stack and 3D projection were then generated. After 24h, larvae were re-imaged as described. To quantify FRAP, fluorescence intensity from original files was measured in grey values, each pixel from 0 to 255. Using the Leica LAS AF software, the average grey value in the sampled 33x33 µm ROI within the photobleached zone (66x33 µm) in segment A7 and in an ROI of the same dimensions in the adjacent, unbleached segment (A6) were obtained at the pre-bleach, post-bleach and 24h post-bleach timepoints. At the 24h timepoint, the ROI was re-identified based on segment and original placement. The bleached zone was often still discernible in some or all Z-steps within the stack. Calculations of change in ROI fluorescence were not corrected for animal growth. Estimates of growth of the bleached area over 24h were variable, averaging to a 6.1% increase (data not shown). To calculate normalised fluorescent recovery, the 24h post-bleach value was divided by the pre-bleach value. No adjustment was made for the half-life of GFP fluorescence in vivo . In intact Dictytostelium , the half-life of GFP is 70 hours ( 65 ). The following tests were performed on the heterozygous vkg-GFP controls and homozygous vkg-GFP datasets using 2023 GraphPad Prism© v10 to demonstrate that fluorescence recovery data is normally distributed: D’Agostino-Pearson, Shapiro-Wilk, and Anderson-Darling. F-tests for equality of variances between developmental stages or genotypes were performed in Microsoft© Excel (2023). ANOVA (GraphPad Prism 10© Version 10.0.0) was performed on normal data. Tests for significance and corrections for multiple comparisons are identified in figure captions 4–8. Outliers were identified using GraphPad’s ROUT method. Fluorescence loss and gain were calculated as described using the Desmos online Graphing Calculator (© 2023 Desmos Studio, PBC). Normality could not be established for calculated loss and gain data between developmental stages or genotypes. The Kruskal-Wallis with Dunn’s multiple comparisons test (GraphPad Prism 10© Version 10.0.0) was then used to determine statistical difference. Quantification of Pericardin fibre orientation Early third instar Drosophila larvae underwent dissection immediately after photobleaching (Fig. 3 ). A method for quantifying ECM patterns, developed by Wershof et al. (2021) was used to determine differences in fibre alignment, branching, endpoints, or curvature between immunolabeled Prc in the photobleached and sham control ROI. The TWOMBLI parameters in the ImageJ plug-in used were: contrast saturation (0.35), minimum line width ( 7 ), maximum line width ( 11 ), minimum curvature window ( 40 ) maximum curvature window ( 40 ), minimum branch length ( 10 ), maximum display HDM (200), and minimum gap diameter (0). Unpaired t-tests were performed using 2023 GraphPad© Software to test for statistical significance between FRAP and control ROIs. Results were consistent across a range of TWOMBLI parameters. RNA extraction Whole-body RNA was extracted using the a magnetic bead protocol, based on the method outlined in Yost et al. (2020) (see Supplementary Information). Larvae were pooled as follows: ten larvae per LL2 sample and five larvae per EL3 or ML3 sample. Expression levels were tested three times per genotype for n = 3. cDNA synthesis Following extraction, RNA was reverse transcribed to cDNA using the Applied Biosystems® (Thermo Fisher Scientific) High Capacity cDNA Reverse Transcription kit, according to the manufacturer’s instructions. qPCR analysis cDNA primers were selected using the DRSC FlyPrimerBank and the NCBI Primer design tool. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was selected as the reference gene. qPCR was performed using the Applied Biosystems StepOnePlus™ Real-Time PCR instrument. Interaction plots of expression data (Δ C T ) presented here were generated in R Statistical Software (v4.0.2) using the following libraries: emmeans (1.7.2) ( 73 ), lme4 (1.1–30) ( 74 ), ggbeeswarm (0.6.0) ( 75 ), and ggplot2 (3.3.6) ( 76 ). DCT comparisons employed the Holm-Bonferroni correction for multiple testing. Data were compared with Flybase ( 23 ). Abbreviations A7 Abdominal segment 7 BM Basement membrane Cg25C Collagen at 25C Col IV Collagen IV DSHB Developmental Studies Hybridoma Bank DV Dorsal vessel ECM Extracellular matrix FRAP Fluorescence recovery after photobleaching LanA Laminin A Lox Lysyl oxidase MMP Matrix metalloproteinase Ndg Nidogen NGS Normal goat serum PBS Phosphate buffered saline PBST Phosphate buffered saline with 0.3% Triton-X-100 Prc Pericardin Pxn Peroxidasin ROI Region of interest SPARC Secreted protein acidic and cysteine rich TIMP Tissue inhibitor of matrix metalloproteinase Trol Terribly reduced optic lobes UAS Upstream activation sequence Vkg Viking Wb Wing blister WT Wildtype yw Yellow white Declarations Author Contribution D.M. wrote the main manuscript and prepared the figures. R.J. assisted with manuscript writing and figure design and acquired funding.All authors reviewed the manuscript. 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Available from: https://cran.r-project.org/web/packages/emmeans/index.html Bates D, Mächler M, Bolker B, Walker S. Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software. 2015;67:1–48. Clarke E, Sherrill-Mix S, Dawson C. ggbeeswarm: Categorical Scatter (Violin Point) Plots [Internet]. 2022 [cited 2023 Apr 25]. Available from: https://cran.r-project.org/web/packages/ggbeeswarm/index.html Wickham H. ggplot2: Elegant Graphics for Data Analysis [Internet]. New York, NY: Springer; 2009 [cited 2023 Apr 25]. Available from: https://link.springer.com/ 10.1007/978-0-387-98141-3 Supplementary Figure Supplementary Figure 1 to 5 are not available with this version. Supplementary figure 1: Body wall muscles in the Drosophila third instar larva. Drosophila body wall muscles are segmentally repeated. Transverse body wall muscles 21, 22, and 23 within body segment A7 were imaged in FRAP experiments. Generated using BioRender.com. Supplementary figure 2: Nested ROI measurements for more accurate assessment of Vkg-GFP fluorescence recovery. During the photobleaching period, the shape of the predetermined ROI (66X33 μm) becomes distorted by occasional movement of the animal and lateral movement of Vkg-GFP. To control for this, FRAP values are measured using a smaller ROI (33 x 33 mm), nested within the original 66 x 33 mm ROI. Average values for the immediately post-bleach and 24h-post bleach time points appear far lower when measured in the nested ROI relative to the larger original ROI. A one-tailed t-test was performed to determine the difference in fluorescence level between ROIs. The higher post-bleach values measured from the large ROI are likely due movement of tissue during photobleaching. As a result, some of the tissue measured within the ROI dimensions is unbleached. Because the smaller ROI of 33x33 mm is within the larger ROI and only covers bleached tissue, it is a more accurate measurement. Supplementary figure 3: Collagen (ColIVa2) mRNA transcript levels throughout larval development and assessed via qPCR. Reaction norm plot of mRNA transcript levels at late second (LL2), early third (EL3) and mid-third (ML3) instar. Samples were pooled as follows: 10 larvae per LL2 sample; 5 larvae per EL3 and ML3 sample. For each gene and developmental stage, there were three biological replicates and three technical replicates of each biological replicate (N=3). qPCR was performed on a ThermoFisher Scientific StepOnePlus TM instrument. Analysis performed using R version 4.0.2 and libraries “lme4” and “emmeans”. Supplementary figure 4: Driverless expression of UAS-timp decreases normalized fluorescence change relative to controls. Vkg-GFP fluorescence recovery is intermediate between control ( Hand-GAL4,Vkg-GFP/yw ) and timp OE (D). A one-way ANOVA with Tukey’s multiple comparisons test was used to evaluate differences in fluorescence change. The Kruskal-Wallis with Dunn’s multiple comparisons test was performed to determine differences in loss and gain. Scale bar in (A) : 100 μm. N≥10. Supplementary figure 5: Vkg-GFP fluorescence recovery is lower with homozygous vkg-GFP . Cardiac ECM in early to mid-third instar larvae of the genotypes yw; Hand-GAL4,Vkg-GFP/+ (heterozygous Vkg) (A-A’’), yw; Hand-GAL4,Vkg-GFP/Vkg-GFP (homozygous Vkg cross) (B-B’’), and yw; Vkg-GFP (homozygous Vkg) (C-C’’) pre, immediately post-bleach, and 24h post-bleach . Normalized change in Vkg-GFP fluorescence is not statistically different between larvae of the genotypes pictured (D) . A one-way ANOVA paired with Tukey’s multiple comparisons test were used to determine differences in fluorescence change. The Kruskal-Wallis with Dunn’s multiple comparisons test was used to evaluate differences in loss and gain between genotypes. Scale bar in (A) : 100 μm. Error bars represent SEM. N≥10. Additional Declarations No competing interests reported. Supplementary Files BMCBiology1MacDuffJacobs24SUPP.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4870374","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":340804601,"identity":"776cdc26-bb29-46c1-ac87-734657523041","order_by":0,"name":"Danielle MacDuff","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8UlEQVRIiWNgGAWjYDCCAyBUYMHA3sB88AGQz8NHnBYDCQaeA2zJBiAtbMRoYYBo4TGTALEJauE7fvbggQ8GEnI8YsfSKr/m2MmwMTA/fHQDjxbJM3kJB2cYSBjzSCcfuy27LRnoMDZj4xw8WgwO5Bgc5jGQSNwvnZZ2W3IbM1ALD5s0Xi3n3xgc/mMgUd8jnWNWLLmtnggtN4C2AL2fwAPUwvhx22HCWiRvvDE42GMgYdgjnZYszbjtOA8bMwG/8J3PMf7wo8JGHuj9gx9/bqu252dvfvgYnxYUwMwDJolVDgKMP0hRPQpGwSgYBSMGAABke0cR0SSCdQAAAABJRU5ErkJggg==","orcid":"","institution":"McMaster University","correspondingAuthor":true,"prefix":"","firstName":"Danielle","middleName":"","lastName":"MacDuff","suffix":""},{"id":340804602,"identity":"6b60ee0a-0a94-42db-a70d-e459dbe650f3","order_by":1,"name":"Roger Jacobs","email":"","orcid":"","institution":"McMaster University","correspondingAuthor":false,"prefix":"","firstName":"Roger","middleName":"","lastName":"Jacobs","suffix":""}],"badges":[],"createdAt":"2024-08-06 19:08:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4870374/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4870374/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":63830743,"identity":"393f70ac-39d5-4649-b22b-141adf2d0e5c","added_by":"auto","created_at":"2024-09-02 19:00:48","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":371908,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eA novel FRAP protocol for live, intact \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eDrosophila \u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003elarvae. \u003c/strong\u003eA larva is first anesthetized with chloroform using a protocol developed in our lab (Cevik et al., 2019). 1) A pre-bleach confocal Z-stack of either the cardiac or body wall muscle ECM is acquired. 2) The fluorescence of Vkg-GFP is photobleached in a 66x33 mm ROI of body segment A7 A second Z-stack is acquired immediately post-bleach. The larva is then allowed to recover on a food plate for 24h. 3) The same ROI is reimaged 24h post-bleach. Generated using BioRender.com.\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/4e75ade71d278c60f98888d2.png"},{"id":63832959,"identity":"19daccb6-f546-4aaf-96c8-a57f750d383e","added_by":"auto","created_at":"2024-09-02 19:24:48","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":3297586,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eLow Argon laser intensity does not affect Vkg protein organization in the cardiac BM.\u003c/strong\u003e (A-A’’) A third instar Vkg-GFP homozygous larva photobleached using 80% (52 mW) Argon laser intensity (A-A’’), dissected 30 minutes later and immunolabelled for Vkg (green) and F-Actin (red). Hemocytes (arrowhead) appear attracted to the site of injury and are labeled with Vkg antibody, suggesting that they may be recycling Vkg protein from the injury site. (B-B’’) A third instar Vkg-GFP larva photobleached using 3% (1.95 mW) Argon laser intensity, then dissected and immunolabelled for Vkg and F-Actin (B’’). At the high laser intensity (80%), Vkg protein antibody label is lost (A, inset), whereas photobleaching with 3% Argon laser does affect the level or organization of Vkg immunolabel (B, inset). ROI dimensions: 66 x 33 µm. H = heart, M = body wall muscle, T = trachea. Scale bar in (A) 100 µm. Genotype: Vkg\u003csup\u003ecc00791\u003c/sup\u003e. N=10.\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/c88171c4e09659fa167582d0.png"},{"id":63831432,"identity":"fe3c5f95-3b89-4210-b506-b53db3f2508f","added_by":"auto","created_at":"2024-09-02 19:08:48","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":3139187,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePhotobleaching does not appear to disrupt Pericardin (Prc) fiber organization\u003c/strong\u003e. Photobleaching of Vkg-GFP in the early third instar cardiac ECM (A), followed, after 30 minutes, by larval dissection and immunolabeling of the heart (B – Vkg-GFP only and C – all channels) reveals that the Prc network is unaffected by photobleaching (“Control” and “Bleached” insets). Quantification of Prc fibre organization using the TWOMBLI ImageJ macro plugin (Wershof et al., 2021) reveals no significant difference between the FRAP (bleached) and sham (control) ROI (D) in total length, branchpoints, or alignment (E). Scale bars in (A) and “Unbleached” inset: 100 μm and 10 μm, respectively. Genotype: Vkg\u003csup\u003ecc00791\u003c/sup\u003e. N=10.\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/8e389f77a560eb87f7ad1f43.png"},{"id":63832377,"identity":"5175ff44-ea6d-4f91-9132-ffe68943f639","added_by":"auto","created_at":"2024-09-02 19:16:48","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":1671735,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFluorescence change of Vkg-GFP in the ECM is regulated in a tissue- and stage-dependent manner.\u003c/strong\u003e\u0026nbsp;Cardiac (A-F’’) and somatic body wall muscle (G-L’’) ECM of late second\u0026nbsp;(A-B’’, G-H’’), early third\u0026nbsp;(C-D’’, I-J’’), and mid-third\u0026nbsp;(E-F’’, K-L’’)\u0026nbsp;instar larvae pre-bleach,\u0026nbsp;immediately post-bleach,\u0026nbsp;and 24h post-bleach. ECM within the white (66x33\u0026nbsp;μm\u0026nbsp;rectangle) ROI was photobleached as shown in Figure 1 and sampled again 24h after photobleaching to determine the extent of normalized fluorescence change. Fluorescence intensity measurements were selected from within the red ROI (33x33\u0026nbsp;μm\u0026nbsp;square). Vkg-GFP fluorescence recovery is the fluorescence intensity at 24h divided by the pre-bleach value. In the body wall muscle ECM, fluorescence change is significantly increased in late second relative to third instars \u003cstrong\u003e(M). \u003c/strong\u003e\u0026nbsp;The Welch and Brown-Forsythe ANOVA paired with Dunnett’s (unequal variances) multiple comparisons correction was performed to evaluate differences in fluorescence change between larval stages \u003cstrong\u003e(G). \u003c/strong\u003eScale bar\u0026nbsp;\u003cstrong\u003e(A)\u003c/strong\u003e: 100\u0026nbsp;μm.\u0026nbsp;Genotype: \u003cem\u003eVkg\u003c/em\u003e\u003csup\u003e\u003cem\u003ecc00791\u003c/em\u003e\u003c/sup\u003e. Error bars represent SEM. N≥15. *p\u0026lt;0.05, **p\u0026lt;0.01, *** p\u0026lt;0.001, **** p\u0026lt;0.0001.\u0026nbsp;\u003c/p\u003e","description":"","filename":"floatimage414.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/1bcdc6c052f13ccb466f2c6c.png"},{"id":63830149,"identity":"f66baa79-16c9-42d9-89e3-1d72532ef4b4","added_by":"auto","created_at":"2024-09-02 18:52:48","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":597002,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eModel for estimation of fluorescence loss and gain in photobleached and sham control ROIs. \u003c/strong\u003eUsing the gray value measurements for our ROI at the pre-bleach, immediately post bleach, and 24 hours post bleach timepoints, we can calculate the proportion of fluorescence lost and gained using the formula: fluorescence intensity at 24h = post-bleach value – x + y, where “x” represents proportion of fluorescence lost and “y” is the new label acquired \u003cstrong\u003e(A)\u003c/strong\u003e. In the image \u003cstrong\u003e(B)\u003c/strong\u003e, “pre-bleach” represents initial fluorescence, at the pre-bleach timepoint. The level of fluorescence varies slightly from pre- to immediately post-bleach in sham controls, due to slight movement of the sample during photobleaching, and due in part to signal noise. At the 24h point in sham controls, there is a net gain in fluorescence. Calculated loss (x) and gain (y) of Vkg-GFP in larvae \u003cstrong\u003e(C). \u003c/strong\u003eCalculated gain is significantly lower in the third mid-instar cardiac and body wall muscle ECM. The Kruskal-Wallis with Dunn’s multiple comparisons test was used to determine differences in loss and gain between larval stages \u003cstrong\u003e(H)\u003c/strong\u003e. Genotype: \u003cem\u003eVkg\u003c/em\u003e\u003csup\u003e\u003cem\u003ecc00791\u003c/em\u003e\u003c/sup\u003e. N≥15 for each sample.\u003c/p\u003e","description":"","filename":"floatimage510.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/3c2b0fe9a6dc0147a4d5b1dd.png"},{"id":63830744,"identity":"0cc72454-b950-4d9c-987a-07c6541a673c","added_by":"auto","created_at":"2024-09-02 19:00:48","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":1123962,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eVkg-GFP turnover in early third instar females is tissue-specific. \u003c/strong\u003eCardiac \u003cstrong\u003e(A-A’’)\u003c/strong\u003e, body wall muscle \u003cstrong\u003e(B-B’’)\u003c/strong\u003e, and trachea ECM \u003cstrong\u003e(C-C’’) \u003c/strong\u003epre-bleach \u003cstrong\u003e(A, B, C)\u003c/strong\u003e, immediately post-bleach \u003cstrong\u003e(A’, B’, C’)\u003c/strong\u003e, and 24h post-bleach \u003cstrong\u003e(A’’, B’’, C’’)\u003c/strong\u003e. ECM within the ROI was photobleached as shown in Figure 1 and sampled again 24h after photobleaching. The extent of recovery after photobleaching varies between individuals varies but in the photobleached region is highest in the cardiac ECM relative to other tissues \u003cstrong\u003e(D)\u003c/strong\u003e. Recovery in sham control tissues is highest in the tracheal ECM \u003cstrong\u003e(E). \u003c/strong\u003eCalculated loss and gain are both highest in the cardiac ECM and lowest in the trachea ECM, suggesting that flux is highest in tissues that undergo more movement. Differences in normalized fluorescence change were assessed using the Welch and Brown-Forsythe ANOVAs with Dunnett’s multiple comparisons correction. Differences in loss and gain were evaluated using the Kruskal-Wallis with Dunn’s multiple comparisons test. Scale bar in \u003cstrong\u003e(A): \u003c/strong\u003e100 μm. Error bars represent SEM. N≥15.\u003c/p\u003e","description":"","filename":"floatimage66.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/17e24fa1f156dc8907de1192.png"},{"id":63830150,"identity":"7169ec88-a4c9-4e2a-b22a-560a540130a6","added_by":"auto","created_at":"2024-09-02 18:52:48","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":2164804,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHeart-specific (\u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eHand-GAL4\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e) overexpression (OE) of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003etimp\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e reduces Vkg-GFP fluorescence recovery and calculated loss in the cardiac ECM. \u003c/strong\u003eCardiac ECM in an early to mid-third \u003cstrong\u003e(A-A’’)\u003c/strong\u003eand a mid-to late \u003cstrong\u003e(B-B’’) \u003c/strong\u003einstar control (\u003cem\u003eHand-GAL4,Vkg-GFP\u003c/em\u003e) larva pre,\u003cstrong\u003e \u003c/strong\u003eimmediately post-bleach, and 24h post-bleach\u003cstrong\u003e. \u003c/strong\u003eCardiac ECM of \u003cem\u003emmp2-\u003c/em\u003eoverexpressing \u003cstrong\u003e(C-D’’)\u003c/strong\u003e and \u003cem\u003etimp\u003c/em\u003e-overexpressing \u003cstrong\u003e(E-F’’)\u003c/strong\u003e larvae. In photobleached tissue, overexpression of \u003cem\u003etimp \u003c/em\u003edecreases fluorescence recovery \u003cstrong\u003e(G)\u003c/strong\u003e. Calculated gain is significantly decreased in the early third instar cardiac ECM of \u003cem\u003etimp- \u003c/em\u003eoverexpressing larvae relative to controls\u003cstrong\u003e (H)\u003c/strong\u003e. A one-way ANOVA paired with Dunnett’s multiple comparison tests was performed to evaluate differences in fluorescence change \u003cstrong\u003e(G). \u003c/strong\u003eThe Kruskal-Wallis with Dunn’s multiple comparisons test was used to determine differences in loss and gain between genotypes \u003cstrong\u003e(H)\u003c/strong\u003e. Scale bar in \u003cstrong\u003e(A)\u003c/strong\u003e: 100 μm. Error bars represent SEM. N≥15.\u003c/p\u003e","description":"","filename":"floatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/23b4c5d05e8d4f0f9f7ba77e.png"},{"id":63830157,"identity":"ec862009-0472-4b8a-934d-e71218548fc5","added_by":"auto","created_at":"2024-09-02 18:52:49","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":2138838,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHeart-specific (\u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eHand-GAL4\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e) overexpression of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003etimp\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e alters Vkg-GFP accumulation and turnover in the body wall muscle ECM. \u003c/strong\u003eBody wall muscle ECM in an early to mid-third \u003cstrong\u003e(A-A’’) \u003c/strong\u003eand mid- to late third instar \u003cstrong\u003e(B-B’’) \u003c/strong\u003econtrol (\u003cem\u003eHand-GAL4,Vkg-GFP\u003c/em\u003e) larva pre,\u003cstrong\u003e \u003c/strong\u003eimmediately post-bleach, and 24h post-bleach\u003cstrong\u003e. \u003c/strong\u003eBody wall muscle ECM of \u003cem\u003emmp2-\u003c/em\u003eoverexpressing \u003cstrong\u003e(C-D’’) \u003c/strong\u003eand \u003cem\u003etimp\u003c/em\u003e-overexpressing \u003cstrong\u003e(E-F’’)\u003c/strong\u003e larvae. Heart-specific \u003cem\u003etimp \u003c/em\u003eoverexpression significantly increases normalized fluorescence change in the mid-third instar body wall muscle sham control ECM \u003cstrong\u003e(G)\u003c/strong\u003e. Calculated Vkg-GFP loss is significantly lower in the body wall muscle of \u003cem\u003etimp-\u003c/em\u003eoverexpressing larvae relative to controls \u003cstrong\u003e(H)\u003c/strong\u003e. A one-way ANOVA paired with Dunnett’s multiple comparison tests were performed to evaluate differences in fluorescence change \u003cstrong\u003e(G). \u003c/strong\u003eThe Kruskal-Wallis with Dunn’s multiple comparisons test was used to determine differences in loss and gain between genotypes \u003cstrong\u003e(H)\u003c/strong\u003e. Scale bar in \u003cstrong\u003e(A)\u003c/strong\u003e: 100 μm. Error bars represent SEM. N≥15.\u003c/p\u003e","description":"","filename":"floatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/176343f345f2946e6e4980b9.png"},{"id":63830748,"identity":"08a26f34-3433-4728-899b-2a3b1518cba5","added_by":"auto","created_at":"2024-09-02 19:00:49","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":430743,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003emRNA transcript levels throughout larval development and assessed via qPCR. \u003c/strong\u003eReaction norm plot of mRNA transcript levels at late second (LL2), early third (EL3) and mid-third (ML3) instar. Samples were pooled as follows: 10 larvae per LL2 sample; 5 larvae per EL3 and ML3 sample. For each gene and developmental stage, there were three biological replicates and three technical replicates of each biological replicate (N=3). qPCR was performed on a ThermoFisher Scientific StepOnePlus\u003csup\u003eTM \u003c/sup\u003einstrument. Analysis performed using R version 4.0.2 and libraries “lme4” and “emmeans”.\u003c/p\u003e","description":"","filename":"floatimage9.png","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/f5aff8e3f9e3a15050c22346.png"},{"id":107704874,"identity":"76a41a92-7036-4402-a593-8569d6cd6b84","added_by":"auto","created_at":"2026-04-24 09:02:00","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":15122622,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/c34facc3-a3d1-4441-b270-cba93b144dfb.pdf"},{"id":63832958,"identity":"00a1b476-9e8a-4061-860a-3214d352eb8c","added_by":"auto","created_at":"2024-09-02 19:24:48","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":94808,"visible":true,"origin":"","legend":"","description":"","filename":"BMCBiology1MacDuffJacobs24SUPP.docx","url":"https://assets-eu.researchsquare.com/files/rs-4870374/v1/17bf3297c7b9f1e11d4fecef.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"A novel adaptation of FRAP quantifies the movement of Drosophila Basement Membrane Collagen in vivo","fulltext":[{"header":"Introduction","content":"\u003cp\u003eThe heart is an organ that experiences constant mechanical stress. This stress is moderated by the cardiac extracellular matrix (ECM), a dynamic network of proteins, growth factors, and signaling molecules. The heart undergoes fundamental changes, such as size increase and contractility during growth and disease, but how does the ECM accommodate this? Here we explore a novel method to determine how new molecules enter and exit a beating heart in an intact model organism, to better understand the dynamic molecular nature of the cardiac ECM and compare this with other tissues.\u003c/p\u003e \u003cp\u003eRegulation of ECM integration and remodeling during growth is understudied, despite being critical for all organ systems, including heart growth and function. A central limitation is tracking protein turnover \u003cem\u003ein vivo\u003c/em\u003e. Recent studies in intact \u003cem\u003eC. elegans\u003c/em\u003e employed proteomics and fluorescence sampling to reveal that different collagens are stabilised or turned over during aging (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). In contrast to potentially 181 Collagen genes in \u003cem\u003eC. elegans\u003c/em\u003e, there are four in \u003cem\u003eDrosophila\u003c/em\u003e (Reinhardt et al., 2023; Teuscher et al., 2019). Over the short term, Fluorescence Recovery After Photobleaching (FRAP) experiments in \u003cem\u003eC. elegans\u003c/em\u003e reveal no turnover of basement membrane Collagen IVα1, while ECM cross-linking components such as Perxodasin, γ-Laminin and Nidogen recover over several minutes (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). Collagen IV and Laminin are known to form interconnected scaffolds early in BM formation, and are therefore more stable than other, more mobile ECM proteins (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). FRAP experiments in \u003cem\u003eDrosophila\u003c/em\u003e to date have also been short-term, and performed in immobile, transparent embryos, dissected pupae, ovaries or imaginal discs (\u003cspan additionalcitationids=\"CR6 CR7\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan additionalcitationids=\"CR9 CR10 CR11\" citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e). Greig and Bulgakova (2021) performed FRAP in the epidermis of live late-stage \u003cem\u003eDrosophila\u003c/em\u003e embryos to demonstrate that E-cadherin signal recovers by both diffusional and endocytic recycling mechanisms. Similarly, FRAP in \u003cem\u003eDrosophila\u003c/em\u003e embryos has revealed turnover of myosin during epithelial wound repair (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn \u003cem\u003eDrosophila\u003c/em\u003e embryos, hemocytes are predominantly responsible for secretion of ECM proteins Laminin, Collagen, SPARC, and others (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e). Post-embryonically, epithelial cells secrete ECM proteins such as Laminin and Syndecan to guide formation of their overlying ECM, but body-wide production of Collagen is primarily from the fat-body (Broadie et al., 2011; Pastor-Pareja \u0026amp; Xu, 2011; Zang et al., 2015, Supplementary table 4).\u003c/p\u003e \u003cp\u003ePost-embryonically, FRAP has been employed in \u003cem\u003eDrosophila\u003c/em\u003e imaginal discs to evaluate morphogen trafficking (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e). In the \u003cem\u003eDrosophila\u003c/em\u003e ovary, FRAP has been used to study dynamics of ER-derived fusome membranes as well as cortical actin organization dynamics (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). To our knowledge, FRAP has never been used to assess protein accretion or turnover in the living \u003cem\u003eDrosophila\u003c/em\u003e larva, which is physically active and grows considerably from hatching to pupation.\u003c/p\u003e \u003cp\u003eWe developed a novel adaptation of FRAP to measure incorporation of Col IVα2 (Viking, Vkg) during larval growth stages in live \u003cem\u003eDrosophila\u003c/em\u003e, employing the Vkg-GFP protein trap developed by Morin et al., (2001). Enhanced GFP (eGFP) is easily and irreversibly photobleached (\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). In this model, the endogenous \u003cem\u003evkg\u003c/em\u003e gene is modified with a GFP sequence, so gene copy number or enhancer properties are not modified as in other transgenic approaches. For example, a pulse of a \u003cem\u003evkg-GFP\u003c/em\u003e transgene might facilitate protein tracking, but with the consequence of over-supply of one protein in a trimer. A change in fluorescence of endogenous Vkg is a proxy for accretion or relocation of Col IV. Interpreting a change in Collagen fluorescence as \u0026lsquo;turnover\u0026rsquo; is imprecise in an open system like the basement membrane (BM), as change may reflect movement of the trimer laterally in the BM, exchange with free trimer in the hemolymph, digestion, denaturation or shape change of the supported tissue. To this end, we developed a simple mathematical model to estimate the contribution of Col IV loss and gain, or flux, by comparing the values obtained from FRAP with control BM. Collectively, changes in ECM content or organisation have been termed \"turnover\", or \"remodeling\" although multiple processes are involved.\u003c/p\u003e \u003cp\u003eThe \u003cem\u003eDrosophila\u003c/em\u003e heart is a linear pump, with valves and an open circulatory system, and is in near constant motion as larval feeds and moves by peristalsis (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e). All these features require both elasticity and tensile strength, suggesting a need for consistent protein flux. For contrast, we examined tissues with other biophysical challenges. Somatic muscle, inserted in the body wall, experiences intermittent stretch in one direction. The trachea requires an inelastic non-contractile ECM and is the most rigid in the body cavity (Hayashi \u0026amp; Kondo, 2018; \u0026Ouml;zt\u0026uuml;rk-\u0026Ccedil;olak et al., 2016).\u003c/p\u003e \u003cp\u003eFurther, we elected to estimate flux at times in larval development when ECM is modified or replaced. Molting is the process through which an animal casts off old feathers, skin, hair, or shell to make way for new growth. In reptiles, arthropods such as \u003cem\u003eDrosophila\u003c/em\u003e, and other insects, molting is specifically known as ecdysis. Ecdysis is controlled by hormones, namely the steroid hormone 20-hydroxyecdysone (20E), as well as several neuropeptides that modulate neural activity (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e). During ecdysis, tissues and their associated ECM are thought to undergo substantial remodelling to meet the demands of a rapidly growing larval body (Bonnans et al., 2014; Hughes, 2018; Hughes et al., 2020; Page-McCaw et al., 2007). Gene expression for replacement of cuticle as well as proteolytic activity of matrix metalloproteases (MMPs) are upregulated during ecdysis in many insects (\u003cspan additionalcitationids=\"CR31 CR32\" citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eHere we reveal a developmentally dependent time course of Vkg-GFP accumulation in the cardiac and somatic body wall muscle ECM of \u003cem\u003eDrosophila\u003c/em\u003e larvae. We also show that mRNA transcript levels derived from whole-body larval preps do not reveal a crucial role for gene transcription in the regulation of ECM accumulation and turnover during larval growth.\u003c/p\u003e \u003cp\u003eMany enzymes that contribute to ECM assembly and turnover have been identified, but their \u003cem\u003ein vivo\u003c/em\u003e activity is not well characterised. We have applied the FRAP approach to quantify changes in Collagen levels after modifying the activity of proteases known to participate in remodeling of the ECM (\u003cspan additionalcitationids=\"CR35\" citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e). Many key enzymes, such as matrix metalloproteinases (MMPs), a disintegrin and metalloproteinases (ADAMs), and ADAM with thrombospondin motifs (ADAMTSs) as well as their inhibitors, tissue inhibitors of matrix metalloproteinases (TIMPs), regulate proteolysis and hence contributes to turnover of ECM components (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e). Here we focus on one of the two \u003cem\u003eDrosophila\u003c/em\u003e MMPs, MMP2, and the single \u003cem\u003eDrosophila\u003c/em\u003e TIMP, a broad spectrum MMP inhibitor. Previous work in our lab investigated the roles of both MMP1 and MMP2 on heart growth and ECM dynamics. Reduced MMP1 function in the embryo resulted in myofibrillar disorganization. Manipulating its activity in larvae did not perturb heart or ECM morphology. Decreasing the level of MMP2 activity only during larval stages resulted in increased density and aberrant localization of Pericardin (Prc) and Vkg Collagens (Hughes et al., 2020). Conversely, increased TIMP expression phenocopied MMP1/2 depletion. These findings prompted us to investigate the impact of manipulated MMP2 and TIMP activity on Vkg turnover at larval stages, using FRAP. We show that \u003cem\u003emmp2\u003c/em\u003e and \u003cem\u003etimp\u003c/em\u003e overexpression driven by the cardiac and heart-adjacent pericardial cells alter accumulation and turnover of Vkg in the cardiac ECM.\u003c/p\u003e \u003cp\u003eHere we report the adaptation of FRAP to live, intact \u003cem\u003eDrosophila\u003c/em\u003e larvae in second and third instar larvae. Through a novel adaptation of FRAP in a well characterised model we show that recovery of fluorescence is a proxy for accumulation of Vkg-GFP into a photobleached zone and can be used to estimate protein gain and loss. We report the gain and loss of Collagen trimers from the basement membrane, which changes over developmental time and between tissues.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eNovel FRAP does not alter organization of ECM proteins\u003c/h2\u003e \u003cp\u003eRecent work suggesting tangible turnover of ECM protein, including Collagen, has relied upon studies of \u003cem\u003ein vitro, in ovo\u003c/em\u003e, or fixed tissue (Greig \u0026amp; Bulgakova, 2021; Van De Bor et al., 2021; Teuscher et al., 2024). Of particular interest to our study was the cardiac ECM, implicated in cardiac growth and cardiomyopathies. We aimed to track Collagen IV turnover \u003cem\u003ein vivo\u003c/em\u003e, using an adaptation of fluorescence recovery after photobleaching (FRAP). We have developed a protocol enabling the visualisation, photobleaching, and subsequent re-imaging of tissues close to the cuticle of intact larvae and established that third instar larvae robustly recover over a 24hr recovery period (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eWe first sought to establish that photobleaching does not alter the structure of the Collagen matrix in the basement membrane (BM) of intact animals. We photobleached third instar larvae of the genotype \u003cem\u003eVkg\u003c/em\u003e \u003csup\u003e\u003cem\u003ecc0079\u003c/em\u003e1\u003c/sup\u003e, and subsequently dissected and immunolabeled them with an anti-Vkg primary antibody (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). \u003cem\u003eVkg\u003c/em\u003e\u003csup\u003e\u003cem\u003ecc0079\u003c/em\u003e1\u003c/sup\u003e, hereafter \u003cem\u003eVkg-GFP\u003c/em\u003e, is a \u0026lsquo;protein trap\u0026rsquo; allele of \u003cem\u003eDrosophila\u003c/em\u003e in which GFP is inserted as an exon that fluorescently tags Collagen \u003cem\u003ein vivo\u003c/em\u003e (Buczsak et al 2007). Strong (52mW) laser irradiation was sufficient to damage immunodetectable Collagen and elicit hemocyte targeting to the injury (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA). In contrast, low (1.95mW) intensity irradiation was sufficient to photobleach Vkg-GFP and leave Collagen organisation unaltered. We also examined the possible impact of FRAP on Pericardin (Prc), a fibrous Collagen-like protein located in the cardiac interstitial matrix. Pericardin is required post-embryonically to maintain cardiac architecture and connection to adjacent tissue (Cevik et al., 2019; Rotstein \u0026amp; Paululat, 2016). Immunolabel of fibrous Prc revealed a preserved network of fibrils, unaltered in their pattern of length, branching or alignment (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). These findings reveal that FRAP does not alter the \u003cem\u003ein vivo\u003c/em\u003e organization of Vkg or Prc in the cardiac ECM.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eRegulation of Vkg-GFP accretion is stage- and tissue-specific\u003c/h2\u003e \u003cp\u003eHaving established the feasibility of \u003cem\u003ein vivo\u003c/em\u003e FRAP, we enquired whether growth and maturation of the ECM during larval development is reflected by changes in Vkg-GFP fluorescence in a standardized region of interest (ROI). Fluorescence change was measured by comparing initial fluorescence intensity to fluorescence intensity after 24h in both the cardiac and somatic body wall muscle ECM. Both tissues experience growth and mechanical stress, although heart movement is more continuous and occurs in more directions (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). We focused on larval muscles 21, 22, and 23, also known as lateral transverse muscles (LT) 1\u0026ndash;3, in segment A7, (Supplementary Fig.\u0026nbsp;1). These muscles were selected because are easily and reliably identified beneath the cuticle via confocal microscopy (\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e). Although somatic muscles generate forces needed for feeding, locomotion, and hatching, the specific roles for larval muscles 21, 22, and 23 remain unclear (\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eEffective photobleaching within the 66 x 33 \u0026micro;m ROI was affected by occasional movement of the animal under light anesthesia. To control for this and possible lateral diffusion of Collagen in the ECM, we quantified a smaller ROI of 33 x 33 \u0026micro;m nested within the original ROI (Supplementary Fig.\u0026nbsp;2). Average values for the post-bleach time point were far lower when measured in the nested ROI (33 x 33 \u0026micro;m) relative to the larger original ROI, which more accurately reflects the extent of photobleaching. As anticipated, the averaged fluorescence of the larger ROI was greater. Therefore, we based our analysis on the smaller, enclosed ROI.\u003c/p\u003e \u003cp\u003eAnticipating that tissue remodeling is elevated during the molt from second to third instar, we compared FRAP on late second instar (24\u0026ndash;26 hours after hatching) with larval growth during early and mid-third instar stages. We measured Vkg-GFP fluorescence accretion after 24 hr in all experiments, having determined that recovery was more variable if larvae were handled and imaged after shorter recoveries. In contrast to the continuous record for in vitro FRAP, a single 24 hr 'snapshot' averages turnover, underestimating short term rates of change. The snapshot included molting for the late second instar group. We also measured fluorescence accretion in \u0026ldquo;sham\u0026rdquo; controls (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e) to estimate Vkg accumulation in unbleached, equivalent tissue. In cardiac sham control tissue, the normalized change in fluorescence over 24h did not change significantly from late second to mid third instar (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eM). Net new fluorescence over 24h in the cardiac ECM was highest at the early third instar stage in photobleached (FRAP) zones and in the control zone (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eM). This suggests Collagen turnover without net gain. In contrast, somatic muscle revealed the largest fluorescence gain in late second instar, dropping through later stages, suggesting net increase in muscle Collagen (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eM). These estimates were not corrected for animal growth, thereby underestimating the fluorescence gain. Growth of recovered ROIs was variable, averaging a 6% underestimate of gain. These findings indicate tissue- and stage-dependent regulation of Vkg-GFP accumulation. Therefore, we asked if it is possible to attribute differences to different rates of loss and addition of Collagen, reflective of dynamic flux?\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eModel for estimation of fluorescence loss and gain\u003c/h2\u003e \u003cp\u003eChange in fluorescence of Vkg-GFP, a proxy for net change in Vkg protein levels, reflects net new fluorescence (residual plus new protein), including possible lateral movement within the BM and not accounting for potential fluorescence decay \u003cem\u003ein situ\u003c/em\u003e. The FRAP model has the potential to estimate both gain and loss of Vkg-GFP. For both heart and muscle there is net new fluorescence after FRAP. However, control tissue can reveal a net loss over the same period. Assuming that Vkg-GFP is lost and gained at the same rate for both the photobleached and control ROI, the apparent contradiction may reflect different rates of addition and loss. All the Vkg leaving the control ROI is fluorescent, and only a fraction of the Vkg leaving the FRAP ROI is still fluorescent (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). This fraction is estimated by dividing the fluorescent signal after photobleaching by the pre-bleach fluorescence intensity value. Using the fluorescence levels at pre-bleach, immediately post bleach, and 24 hours post bleach timepoints, we can calculate the proportion of fluorescence lost and gained by solving for two equations with two variables (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eA). This approach cannot detect gain that is also lost within the 24-hr recovery. Given that bleached ROIs at 24 hr fluoresce less than controls, the underestimation of gain and loss should be small.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eVkg-GFP turnover is stage- and tissue-specific\u003c/h2\u003e \u003cp\u003eWe calculated loss and gain of fluorescence and interpreted them as proxies for loss and gain of Vkg protein. In cardiac tissue, the rate of loss appeared to be stable, and gain dropped significantly from early to the mid-third instar stage (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eC). Similarly, the rate of gain decreased significantly, and the rate of loss increased in somatic body wall muscle ECM throughout larval development (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eC). The decline in Vkg signal throughout larval growth in the body wall muscle aligns with the poor net fluorescence recovery seen in the third instar body wall muscle ECM.\u003c/p\u003e \u003cp\u003eWe next extended our analysis the ECM of an inelastic tissue, the larval trachea. The branched tracheal network spans the length and width of the larval body. We qualitatively observed poor recovery of Vkg-GFP in photobleached branches from the main tracheal trunks near the heart and subsequently determined fluorescence recovery of Vkg-GFP as previously described. In early third instar female larvae, fluorescence accumulation was highest in the tracheal ECM in sham control tissue (Fig.\u0026nbsp;6D). Conversely, Vkg-GFP accretion was lowest in FRAP tissue of the tracheal ECM, both suggestive of low rates of Vkg loss (Fig.\u0026nbsp;6D). Vkg-GFP flux was highest in the cardiac ECM and lowest in the tracheal ECM (Fig.\u0026nbsp;6D).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eAltered matrix protease activity modifies Collagen turnover in the cardiac ECM\u003c/h2\u003e \u003cp\u003eECM regulatory enzymes matrix metalloproteinases (MMPs), which digest ECM protein, and their inhibitor tissue inhibitor of matrix metalloproteinases (TIMP), are key to maintaining the balance between protein degradation and synthesis or deposition. Altered MMP and TIMP activity can lead to pathological states through modified ECM protein composition, organization, and remodelling (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e). We used the heart-specific driver \u003cem\u003eHand-GAL4\u003c/em\u003e to overexpress \u003cem\u003emmp2\u003c/em\u003e and \u003cem\u003etimp\u003c/em\u003e in third instar larvae. Second instar larvae were considerably smaller, and experienced decreased viability following FRAP relative to third instars. Combined with the reduced survival of larvae overexpressing \u003cem\u003emmp2\u003c/em\u003e and \u003cem\u003etimp\u003c/em\u003e, we focused exclusively on more robust third instar larvae (Hughes et al., 2020).\u003c/p\u003e \u003cp\u003eHeart-specific overexpression of \u003cem\u003emmp2\u003c/em\u003e did not significantly alter Vkg-GFP fluorescence recovery relative to wildtype (\u003cem\u003evkg-GFP\u003c/em\u003e heterozygotes) in the cardiac ECM of early and mid-third instar larvae (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e7\u003c/span\u003eG). A non-significant increase in Vkg-GFP gain and loss was evident in the early third instar. (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e7\u003c/span\u003eH). In contrast, Vkg-GFP fluorescence recovery and flux significantly decreased after \u003cem\u003etimp\u003c/em\u003e overexpression relative to controls in the mid-third instar cardiac ECM, and to a lesser degree in early third instars, suggesting that TIMP is implicated in stabilizing Collagen turnover (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e7\u003c/span\u003eG and H). A possible effect of the homozygous \u003cem\u003evkg-GFP\u003c/em\u003e allele or \u003cem\u003eHand-GAL4\u003c/em\u003e insert on fluorescence change was assessed and found to be not significant (Supplementary Fig.\u0026nbsp;5).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eWe evaluated possible distant effects of heart-specific \u003cem\u003emmp2\u003c/em\u003e and \u003cem\u003etimp\u003c/em\u003e overexpression on fluorescence recovery and Vkg-GFP turnover in body wall muscle. Overexpression of \u003cem\u003emmp2\u003c/em\u003e did not affect Vkg-GFP fluorescence recovery or Vkg-GFP flux in the body wall muscle of early and mid-third instar larvae (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e8\u003c/span\u003eG and H). In contrast, heart-specific overexpression of \u003cem\u003etimp\u003c/em\u003e increased Vkg-GFP accumulation in sham control tissue and significantly decreased calculated loss at both stages (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e8\u003c/span\u003eG and H). The \u003cem\u003eUAS-timp\u003c/em\u003e insert has ectopic or \u0026ldquo;leaky\u0026rdquo;, expression, affecting Vkg turnover in the body wall muscle, as noticed in previous studies (Hughes et al., 2020). We assessed Vkg loss and gain with driverless \u003cem\u003etimp\u003c/em\u003e overexpression and similarly observed reduced Vkg turnover, although this difference was not statistically significant (Supplementary Fig.\u0026nbsp;4D).From these results we can surmise that \u003cem\u003etimp\u003c/em\u003e overexpression affects homeostatic Vkg turnover by decreasing Vkg loss.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eECM and ECM-associated gene transcript levels vary little throughout larval development\u003c/h2\u003e \u003cp\u003eThe expression of ECM and ECM-related genes fluctuates in disease states, and throughout development and growth (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e). We sought to assess this by examining whether changes in gene expression underlie the differences in Vkg accretion and estimated turnover between larval stages. To this end, we quantified changes in mRNA transcript levels in late second, early-third and mid-third instar larvae, by qPCR on RNA isolated from whole larval bodies.\u003c/p\u003e \u003cp\u003eTranscript levels of ECM structural proteins: Laminin, Integrin and Perlecan (\u003cem\u003elanA, mys, trol, wb\u003c/em\u003e), Collagens (also structural; \u003cem\u003eCg25C, prc, vkg\u003c/em\u003e), enzymes active in the ECM: matrix metalloprotease and tissue inhibitor of metalloprotease (\u003cem\u003emmp1, mmp2, timp\u003c/em\u003e), Collagen modulators (\u003cem\u003eloxl1, SPARC\u003c/em\u003e), and the moulting initiator (\u003cem\u003eETH\u003c/em\u003e) were determined (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e9\u003c/span\u003e). See Supplementary table 5 for a description of all targets and their human orthologs. Expression of structural genes (\u003cem\u003elanA, mys, trol\u003c/em\u003e, and \u003cem\u003ewb\u003c/em\u003e) as well as Collagen \u003cem\u003eCg25C\u003c/em\u003e were highest at late second instar (LL2) and lowest at early third instar (EL3), suggestive of decreased expression between molts. Transcript levels of ECM proteases \u003cem\u003emmp1\u003c/em\u003e and \u003cem\u003emmp2\u003c/em\u003e and their inhibitor \u003cem\u003etimp\u003c/em\u003e were highest at mid-third and lowest in early third instar, indicating decreased expression between molts and increased expression prior to pupation. In contrast, both \u003cem\u003evkg\u003c/em\u003e and \u003cem\u003eprc\u003c/em\u003e increased as larvae grew into third instar. None of these transcript level changes were statistically significant, suggesting that transcription or transcript half-life are not key regulators of change in the larval ECM.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eTranscript expression levels for \u003cem\u003evkg\u003c/em\u003e were significantly higher in larvae of the genotype \u003cem\u003eVkg-GFP\u003c/em\u003e (\u003cem\u003eVkg\u003c/em\u003e\u003csup\u003e\u003cem\u003ecc0079\u003c/em\u003e1\u003c/sup\u003e) relative to \u003cem\u003eyw\u003c/em\u003e at each developmental stage (p-values\u0026thinsp;\u0026lt;\u0026thinsp;0.0001) (Supplementary Fig.\u0026nbsp;3). The \u003cem\u003eVkg-GFP\u003c/em\u003e protein trap consists of a transposed GFP exon in an intron of the endogenous Vkg gene, so that Vkg coding an N terminal GFP is under control of the \u003cem\u003evkg\u003c/em\u003e promoter. Vkg-GFP exhibits subcellular and tissue localization akin to endogenous \u003cem\u003eVkg\u003c/em\u003e, and is believed to not disrupt upstream or downstream splicing events (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e). It is possible that the location of the GFP insert within the Vkg sequence is limiting degradation of the \u003cem\u003evkg\u003c/em\u003e transcript.\u003c/p\u003e \u003cp\u003eWe had included ETH (ecdysis triggering hormone) in the hope of correlating molting with our transcript levels. ETH is considered a master regulating hormone of ecdysis, and the developmental timepoints selected for this assay span ecdysis (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e). FlyBase\u0026rsquo;s RNA-Seq By Region tool reports high ETH levels in pooled L2 larvae (\u0026Ouml;zt\u0026uuml;rk-\u0026Ccedil;olak et al., 2024). Our data suggests this drops before ecdysis. Further comparisons with the Flybase dataset were limited by a lack of statistics and different sampling windows.\u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eIncorporation of BM proteins into a functional matrix over the course of organismal growth is poorly understood. To better compare the addition and turnover of the \u003cem\u003eDrosophila\u003c/em\u003e Collagen IVα1, or Vkg across different tissues, we developed a novel adaptation of FRAP for live, intact \u003cem\u003eDrosophila\u003c/em\u003e larvae. This technique allows us to measure fluorescence recovery of the protein trap Vkg-GFP, which we use as a proxy for accretion of the Vkg protein over a 24-hour recovery period, extending the time-course of previous photobleaching studies. Studies in \u003cem\u003eC. elegans\u003c/em\u003e, which lack a heart, employed FRAP, or FRAP-adjacent techniques to study protein turnover \u003cem\u003ein vivo\u003c/em\u003e (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e). They revealed that rates of protein turnover vary between tissues and decrease with age. Pulse-chase tracking of ECM in \u003cem\u003eDrosophila\u003c/em\u003e embryos suggests a short half-life for BM Collagen Matsubayashi et al., 2020). The role of ECM proteases in metamorphosis has been tracked in intact pupae (Davis et al., 2022). Here we provide the first report of \u003cem\u003ein vivo\u003c/em\u003e ECM protein turnover in intact \u003cem\u003eDrosophila\u003c/em\u003e larvae.\u003c/p\u003e\n\u003ch3\u003eVkg-GFP content of basement membranes varies with developmental time and tissue type\u003c/h3\u003e\n\u003cp\u003eOur results indicate that an Argon laser intensity of 1.95 mW is sufficient to photobleach the GFP portion of the Vkg-GFP protein trap without affecting the immunoreactivity or ECM incorporation of the Vkg protein. Our findings also indicate that the organization of Prc, a fibrillar Collagen in the same matrix, is not perturbed by FRAP. We next evaluated whether maturation of the ECM during larval growth and development can be tracked through changes in Vkg-GFP fluorescence in a region of interest (ROI). Ecdysis (or molting) between larval instars provides a phasic ECM remodeling event to analyse ECM turnover. The tissues characterised here are each linked indirectly to the new cuticle. The heart and alary muscle reorganize their insertions, which may entail increased remodeling (\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe difference in Collagen deposition between body wall muscle and the heart is most pronounced during molt to the third instar. Net gain was greater in body wall muscle, possibly reflecting the remodeling of muscle and tendon cells as they insert into new cuticle. During growth stages in the third instar, somatic muscle experienced a net loss of Vkg, while heart Collagen fluorescence revealed no consistent trend. This was unexpected as we anticipated that growth and the constant movement of the cardiac ECM would require more remodeling, including more removal of photobleached Collagen. Instead, the results suggests that the cardiac ECM is more stable at all stages, with lower Vkg turnover relative to the body wall muscle ECM. This might be attributable to increased crosslinking in heart ECM. Growth of the tissue in the ROI after photobleaching led to an estimated 6% allometric underestimation of Vkg accretion. Analysis of net change did not uncover the balance of loss versus gain of Collagen molecules during remodeling, which prompted us to seek a model to track Vkg movement.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eVkg-GFP addition and loss are stage- and tissue- specific\u003c/h2\u003e \u003cp\u003eThe assessment of fluorescence change of Vkg-GFP is a proxy for net change in Vkg protein levels but does not allow for direct measurement of protein turnover. Turnover includes both addition and loss, and if balanced, would not alter measured Collagen fluorescence. To determine the rate of turnover, we developed a mathematical model to calculate the estimated loss and gain of Vkg over our 24-hour recovery period. By photobleaching Collagen in one region of interest (ROI) and considering protein addition or loss as equivalent to a control ROI, we can estimate the rate of loss of photobleached Collagen by contrasting the change in fluorescence between both ROIs. Loss of photobleached Vkg-GFP would not change fluorescence. Anticipating that Vkg turnover would be highest during the second instar molt, we compared calculated loss and gain of Vkg between late second, early, and mid-third instar larvae. The rate of Vkg loss appeared fixed in cardiac tissue. Calculated addition of new Collagen was significantly lower in mid-third instars relative to late second and early third instars. We observed a net increase in Vkg-GFP fluorescence in body wall muscle ECM after molting of the second instar larvae. The gain of Vkg becomes less after ecdysis in both tissues, perhaps indicating a decreased need for protein deposition. While the rate of loss did not change in the heart across time, the loss of Vkg protein increased in muscle.\u003c/p\u003e \u003cp\u003eWe extended our assessment of Vkg fluorescence recovery and turnover to the larval trachea, an robust network of inelastic epithelial tissue often used as a model to study tissue morphogenesis (\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e, \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e). Vkg-GFP fluorescence recovery and calculated turnover in photobleached ROIs were substantially lower in the tracheal ECM relative to other tissues. Interestingly, Vkg accretion in control tracheal tissue was found to be elevated relative to that seen the cardiac and body wall muscle ECM. Together, the mathematical model interprets this as a low rate of Vkg loss in the tracheal ECM. This is consistent with higher levels of Collagen crosslinking in rigid trachea (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eECM and ECM-associated gene transcript levels change throughout larval development\u003c/h2\u003e \u003cp\u003eRates of Collagen gain and loss appear to be correlated with tissue type, elasticity, and developmental stage. Nevertheless, multiple tissues with different ECMs obtain most or all of their Collagen from a central source, the \u003cem\u003eDrosophila\u003c/em\u003e fat body, which secretes Collagen into the hemolymph for distribution (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e). Insertion and crosslinking of Collagen from the hemolymph to diverse tissues is local, and after embryogenesis, not mediated by fibroblast-like cells as for vertebrates (\u003cspan additionalcitationids=\"CR56\" citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e). How much of the regulation of ECM production can be at the genetic level? We sought to detect changes in ECM and ECM-associated gene transcript levels through larval development to determine how much change in ECM production is regulated transcriptionally. Unexpectedly, whole-body mRNA levels for most ECM genes of interest, including many that are cell autonomous (Laminins, Integrins, crosslinkers and proteases) were not statistically different across the three developmental stages assayed (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan additionalcitationids=\"CR59 CR60\" citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e). As the hemolymph remains a reservoir for unincorporated Collagen IV trimer, local factors, as opposed to supply, may regulate the rate of Vkg accretion. Some locally synthesized ECM proteins, such as Laminin will exhibit tissue-specific changes in transcript expression that would not be detected with a whole organism approach. Organ-specific mRNA isolation is impractical with \u003cem\u003eDrosophila\u003c/em\u003e \u0026ndash; particularly with the heart, which is associated with polyploid non-contractile pericardial cells (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWe detected higher mRNA expression of \u003cem\u003evkg\u003c/em\u003e in larvae of the genotype \u003cem\u003evkg-GFP\u003c/em\u003e compared to wildtype larvae at each larval stage. It is plausible that the location of insertion of the GFP exon within the \u003cem\u003evkg\u003c/em\u003e coding sequence interferes with the degradation of \u003cem\u003evkg\u003c/em\u003e transcripts (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eTaken together, our results show that ecdysis accelerates Vkg accretion in both the cardiac and body wall muscle ECM. Our data on calculated Vkg gain and loss reveal that each flux is differentially regulated between cardiac and body wall muscle and tracheal ECM, as well as between larval developmental stages. Developmental changes are not strongly linked to variation in matrisome transcript levels, and likely reflects changes in local kinetics of protein exchange between the hemolymph and the ECM.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eAltered matrix protease activity modifies Collagen turnover in the cardiac ECM\u003c/h2\u003e \u003cp\u003ePost-embryonic remodeling of the ECM in living animals is not well studied. Recently, Teuscher et al. (2024) revealed that coordinated ECM remodeling through mechanotransduction is required and sufficient to extend lifespan in \u003cem\u003eC. elegans\u003c/em\u003e. Our work reveals that rates of addition and loss of Collagen from the ECM varies by tissue and developmental stage. Proteases are believed to be the major players responsible for protein loss from the ECM. During \u003cem\u003eDrosophila\u003c/em\u003e embryogenesis, MMP1 is required for incorporation of new Collagen into the nascent basement membrane and is thought to maintain pliability of the Collagen matrix (\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e). MMP1 has also been shown to be crucial for accumulation of Vkg at the leading edge during wound closure in \u003cem\u003eDrosophila\u003c/em\u003e embryos and is therefore important for wound closure and re-epithelialization. Expression of TIMP inhibits this process (\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e). We have previously determined that the modified MMP1 activity had little effect on the larval heart, while MMP2 is required for post-embryonic heart development and removal of excess Collagen. Similarly, this is inhibited by TIMP (Hughes et al., 2020). We sought to extend our understanding to the level of Collagen turnover. Our findings provide further evidence that heart-specific overexpression of \u003cem\u003emmp2\u003c/em\u003e and \u003cem\u003etimp\u003c/em\u003e perturbs the intrinsic turnover of Vkg in the third instar cardiac ECM. For instance, overexpression of \u003cem\u003emmp2\u003c/em\u003e results in greater Vkg-GFP fluorescence recovery and Vkg flux relative to wildtype in the early third instar cardiac ECM. In the process of removing Collagen, it appears that MMPs reveal openings to assemble new ECM networks.\u003c/p\u003e \u003cp\u003eWe noted a more dramatic effect of \u003cem\u003etimp\u003c/em\u003e overexpression relative to \u003cem\u003emmp2\u003c/em\u003e overexpression on net Vkg-GFP fluorescence recovery. This is in accordance with a more severe cardiac phenotype with altered \u003cem\u003etimp\u003c/em\u003e activity previously reported (Hughes, 2018; Hughes et al., 2020). \u003cem\u003eDrosophila\u003c/em\u003e produce a single TIMP protein, which inhibits multiple proteases, including MMP1/2 and ADAMTS (\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e, \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e). In the cardiac ECM of third instars, \u003cem\u003etimp\u003c/em\u003e overexpression leads to decreased Vkg-GFP fluorescence recovery. Overexpression of \u003cem\u003etimp\u003c/em\u003e in the \u003cem\u003eDrosophila\u003c/em\u003e embryo phenocopies loss of \u003cem\u003emmp1\u003c/em\u003e, whereby Vkg accumulation and wound closure are impaired (\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e). Our findings are consistent with a requirement for protease and protease inhibitor activity to remove and replace Collagen in the basement membrane. When less Collagen is removed, less will be added.\u003c/p\u003e \u003cp\u003eAltogether our findings show that regulation of Vkg protein turnover, and likely also protein crosslinking are tissue and stage dependent. Increasing the activity of the ECM protease \u003cem\u003emmp2\u003c/em\u003e led to more Vkg turnover in the early third instar cardiac ECM, whereas increased \u003cem\u003etimp\u003c/em\u003e appeared to decrease Vkg turnover in the cardiac ECM. It is probable that additional factors, such as protein modification and cross-linking contribute to differences in protease mediated Collagen turnover between organs and stages.\u003c/p\u003e \u003cp\u003e \u003cb\u003eProspects for ECM studies\u003c/b\u003e \u003cb\u003ein vivo\u003c/b\u003e\u003c/p\u003e \u003cp\u003eDespite the important value of non-invasive studies of the ECM \u003cem\u003ein vivo\u003c/em\u003e, the approach is infrequently chosen. Inevitable tissue movement, animal resampling, re-identification of ROIs, and potential stress from handling and irradiation are disincentives for quantitative study. Repeated sampling from a living organism introduces more sources of variation and reduces the number of statistically significant observations. Individuals may vary in optical diffraction and transparency at different ages, as well as the optical depth to the tissue of interest. There is no endogenous calibration for this, so measured fluorescence for each tissue type is assumed to be proportional to the number of tagged GFP molecules. We also note that natural decay of fluorescence, growth of the tissue, and molecules added and lost within the recovery period all contribute to an underestimation of gain and flux. Most significant outcomes reported here are relative increases in flux, despite this bias.\u003c/p\u003e \u003cp\u003eThere are uncertainties with the use of tagged proteins that may bias quantitative interpretation. Our study, and others employ \"protein trap\" GFP inserts, which modifies only the endogenous gene (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e). As \u003cem\u003eVkg\u003c/em\u003e transcript rises through development in both wildtype and Vkg-GFP genotypes, we expect, despite the higher transcript level of \u003cem\u003eVkg-GFP\u003c/em\u003e in larvae relative to wildtype, that the rise seen in our GFP trap larvae reflects wildtype dynamics. However, the half-life for fluorescence in a GFP protein trap is unknown. Estimates from other \u003cem\u003ein vivo\u003c/em\u003e models suggest a fluorescence half-life triple our experimental time course (\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e). The relative stability of Vkg-GFP in the ECM compared with untagged Vkg is also not known.\u003c/p\u003e \u003cp\u003eOur mathematical model is successful in revealing changes in the flux of Collagen. However, it forces high loss and gain when fluorescence intensity values are very different between photobleached and control tissue. Incorporating corrections for the suggested factors that affect GFP fluorescence may compensate for this bias. Development of intramolecular FRET GFP variants as protein traps may enable pulse-chase studies for more direct assays of matrisome turnover (\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003eFor the first time, turnover of endogenous protein in the ECM of a growing heart and muscle have been characterised in a non-invasive manner. Our findings reveal that there is both loss and accumulation of Collagen during larval development and growth that varies between tissues and correlates with tissue elasticity. Although less precise than studies \u003cem\u003ein vitro\u003c/em\u003e or \u003cem\u003ein ovo\u003c/em\u003e, it is essential to corroborate and extend insights from biologically constrained models to intact organisms. We believe that our approach can be applied to estimate turnover of other fluorescent proteins \u003cem\u003ein vivo\u003c/em\u003e in transparent organisms such as \u003cem\u003eC. elegans\u003c/em\u003e, \u003cem\u003eDrosophila\u003c/em\u003e and Zebrafish (\u003cem\u003eDanio rerio)\u003c/em\u003e. Despite the inherent variability of \u003cem\u003ein vivo\u003c/em\u003e imaging, this study establishes that the ECM of the basement membrane undergoes constant turnover and suggests a relatively short half-life of Collagen in active, moving tissue. Turnover appears to be greater when tissue remodeling, associated with insect molt, is higher. The model also provides in vivo evidence for protease activity in flux of Collagen in the basement membrane. Other studies have suggested a role for SPARC, Peroxidasin, Nidogen and Lysyl Oxidase in Collagen IV stabilisation that can now be validated and related to ECM pathologies such as cardiac fibrosis.\u003c/p\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003cdiv id=\"Sec16\" class=\"Section3\"\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec22\" class=\"Section2\"\u003e \u003cdiv id=\"Sec23\" class=\"Section3\"\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003cdiv id=\"Sec25\" class=\"Section3\"\u003e \u003c/div\u003e \u003cdiv id=\"Sec26\" class=\"Section3\"\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Experimental procedures","content":"\u003ch2\u003eFly stock maintenance and stocks\u003c/h2\u003e\u003cp\u003eFlies were reared on yeast-based solid food in polystyrene vials at room temperature (22–23°C) unless otherwise indicated. For a list of all fly stocks used, see Supplementary Table\u0026nbsp;1.\u003c/p\u003e\u003ch2\u003eLarval collections\u003c/h2\u003e\u003cp\u003eTo collect larvae for FRAP and qPCR experiments, flies were placed in collection chambers comprised of a 100 mL plastic chamber, inverted over a 60mm plate of 10 ml standard fly medium. Houses were set up to contain roughly 50–70 flies, using a 2:1 female to male ratio, and placed in a 25°C incubator. After 48h acclimatisation, newly hatched first instar larvae (24h after egg fertilization) were hand-picked and moved to another food plate. Larvae were then collected at three different timepoints: late second instar (24-26h after hatching), early third instar (48-50h after hatching), and mid-third instar (76-78h after hatching). Developmental stages were confirmed with larval mouth hooks. Slight differences in developmental time were noted between genotypes and were accounted for. The genetic background of both \u003cem\u003eVkg-GFP\u003c/em\u003e and \u003cem\u003eyw\u003c/em\u003e flies is wildtype Canton S.\u003c/p\u003e\u003cp\u003eThe control genotype used for \u003cem\u003emmp2\u003c/em\u003e and \u003cem\u003etimp\u003c/em\u003e overexpression experiments was \u003cem\u003eHand-GAL4, Vkg-GFP/Cyo-YFP\u003c/em\u003e, which, like the experimental crosses, is heterozygous for \u003cem\u003eVkg-GFP.\u003c/em\u003e In Figs.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e–\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, homozygous \u003cem\u003eVkg-GFP\u003c/em\u003e was used as the wildtype. We observed that fluorescence recovery in homozygous individuals (\u003cem\u003eVkg\u003c/em\u003e\u003csup\u003e\u003cem\u003ecc00791\u003c/em\u003e\u003c/sup\u003e) was lower in the cardiac and body wall muscle ECM compared to individuals heterozygous for \u003cem\u003eVkg-GFP.\u003c/em\u003e\u003c/p\u003e\u003ch2\u003eLarval freezing for qPCR\u003c/h2\u003e\u003cp\u003eFor qPCR experiments larvae of the \u003cem\u003eVkg-GFP\u003c/em\u003e and \u003cem\u003eyellow white (yw)\u003c/em\u003e genotypes were collected and frozen. Late second instar, early third and mid-third instar larvae were collected for qPCR as described. Nuclease-free snap tubes containing RNAse-free PBS (100 µl) were prepped. For both the early third and mid-third instar collections, five larvae were collected per tube. Ten larvae per tube were collected for late second instars owing to their smaller size. Snap tubes were immediately flash-frozen in liquid nitrogen and stored at -80°C.\u003c/p\u003e\u003ch2\u003eLarval dissections\u003c/h2\u003e\u003cp\u003eDissections were performed in early third instars according to the protocol adapted from (\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e). All steps were performed at room temperature unless stated otherwise. Live larvae were immobilized ventral side up using tungsten dissection pins magnetically adhered to a dissection plate. Larvae were bathed in phosphate-buffered saline (PBS), then fine iridectomy scissors were used to deflate the larva by making the first incision at the anterior end to avoid disrupting the fat bodies and cardiac muscle attachments. The first incision was extended along the ventral midline to the posterior extremity. The cut cuticle was then pinned on either side of the larva to expose the contents of the body cavity. Intestines and posterior fat bodies were removed. Tracheal branches were left intact to limit damage to the alary muscles suspending the heart in the body cavity. Dissected larvae were fixed using 4% formaldehyde in PBS in the dissection plate for five minutes at room temperature, then placed on ice in a 48-well plate containing the same fixative solution. Once all dissections were complete, they were allowed to fix at room temperature in the 48-well plate for 15 minutes prior to immunolabeling.\u003c/p\u003e\u003ch2\u003eImmunolabeling\u003c/h2\u003e\u003cp\u003eThe immunolabeling protocol used was adapted from Alayari et al. (2009). All steps were performed at room temperature unless otherwise specified. After removing the fixative solution, dissections were washed three times for ten minutes in 1X PBT (1X PBS + 0.3% Triton). Dissections were then blocked with 10 µL normal goat serum (NGS) in 150µL PBT for 30 minutes prior to the addition of 5 µL primary antibody (1:30) in 150 µL PBT and left to incubate at 4°C overnight with constant shaking. The following day the dissections were again washed three times in PBT, then blocked with NGS as described. Samples were then incubated with 1 µL of the secondary antibody (1:15) and 2 µL of Alexa 647 Phalloidin (1:75) in 150 µL PBT for one hour at room temperature with continuous shaking. A final round of three PBT washes was performed, followed by a ten-minute wash in 1X PBS to remove the Triton. Upon removal of PBS, dissections were placed in 50% glycerol in PBS at 4°C for three hours or overnight, the transferred to 70% glycerol before imaging. See Supplementary table 3 for a complete list of antibodies used.\u003c/p\u003e\u003ch2\u003eConfocal imaging\u003c/h2\u003e\u003cp\u003eFrontal stacks Z-stacks were taken at 200 Hz with a step size of 1 µm at a resolution of 1024 x 512 pixels on a Leica SP5 confocal microscope. Settings were kept constant across all experiments. A 20X objective was used in FRAP experiments and to image dissected and immunolabeled samples. A 63X objective was used to image immunolabeled Pericardin to assess fiber orientation. Pinhole sizes of 60 and 95 µm were used with the 20X and 63X objectives, respectively. Sequential scanning was used to avoid crosstalk between channels (488, 647, and 543 nm) when imaging immunolabeled dissections. Only healthy, feeding and motile larvae were re-imaged at the 24h recovery timepoint. All sampling was made over a 4 hr midday window to eliminate potential circadian effects (\u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e69\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eProjections of stacks were generated using the Leica LAS AF software. Only the Argon laser was used for FRAP experiments. Argon laser power was set to 15%, unless otherwise specified. Unaltered images were used for quantification but were adjusted for brightness for publication.\u003c/p\u003e\u003ch2\u003eFluorescence recovery after photobleaching (FRAP) for live, intact larvae\u003c/h2\u003e\u003cp\u003eThe FRAP protocol used below was also previously described in (MacDuff, 2019). See Supplementary Information for the complete protocol. First, larvae were anesthetized with chloroform in order to immobilize them, as described by Cevik et al. (2019). Prior to mounting larvae for imaging, a thin layer of halocarbon 27 oil (polymer of chlorotrifuoroethylene (PCTFWE)) was painted between two 1.5mm coverslips, 5mm apart on a microscope slide. This ensured that the larva does not stick to the slide or overlying coverslip. Anesthetized larvae were then laid dorsal side up on the slide, and a third cover slip secured over them with tape. A small drop of immersion oil was dispensed onto the overlying coverslip, and body segment A7 centred in the field of view.\u003c/p\u003e\u003cp\u003eTo obtain 3D projection of the pre-bleach stack of images, laser power was set to 15%. Number of images within a stack was between 80–100 for the heart and 50–70 for the muscle to encompass the region of interest, excluding the cuticle or other structures. The ROI (66x33 µm) was then placed over the region of interest at 12X zoom. Laser intensity in the photobleached zone was set to 3% (1.95 mW). Following the photobleaching period, Argon laser power was set to 15%, as before. A post-bleach stack and 3D projection were then generated. After 24h, larvae were re-imaged as described.\u003c/p\u003e\u003cp\u003eTo quantify FRAP, fluorescence intensity from original files was measured in grey values, each pixel from 0 to 255. Using the Leica LAS AF software, the average grey value in the sampled 33x33 µm ROI within the photobleached zone (66x33 µm) in segment A7 and in an ROI of the same dimensions in the adjacent, unbleached segment (A6) were obtained at the pre-bleach, post-bleach and 24h post-bleach timepoints. At the 24h timepoint, the ROI was re-identified based on segment and original placement. The bleached zone was often still discernible in some or all Z-steps within the stack. Calculations of change in ROI fluorescence were not corrected for animal growth. Estimates of growth of the bleached area over 24h were variable, averaging to a 6.1% increase (data not shown).\u003c/p\u003e\u003cp\u003eTo calculate normalised fluorescent recovery, the 24h post-bleach value was divided by the pre-bleach value. No adjustment was made for the half-life of GFP fluorescence \u003cem\u003ein vivo\u003c/em\u003e. In intact \u003cem\u003eDictytostelium\u003c/em\u003e, the half-life of GFP is 70 hours (\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e). The following tests were performed on the heterozygous \u003cem\u003evkg-GFP\u003c/em\u003e controls and homozygous \u003cem\u003evkg-GFP\u003c/em\u003e datasets using 2023 GraphPad Prism© v10 to demonstrate that fluorescence recovery data is normally distributed: D’Agostino-Pearson, Shapiro-Wilk, and Anderson-Darling. F-tests for equality of variances between developmental stages or genotypes were performed in Microsoft© Excel (2023). ANOVA (GraphPad Prism 10© Version 10.0.0) was performed on normal data. Tests for significance and corrections for multiple comparisons are identified in figure captions 4–8. Outliers were identified using GraphPad’s ROUT method. Fluorescence loss and gain were calculated as described using the Desmos online Graphing Calculator (© 2023 Desmos Studio, PBC). Normality could not be established for calculated loss and gain data between developmental stages or genotypes. The Kruskal-Wallis with Dunn’s multiple comparisons test (GraphPad Prism 10© Version 10.0.0) was then used to determine statistical difference.\u003c/p\u003e\u003ch2\u003eQuantification of Pericardin fibre orientation\u003c/h2\u003e\u003cp\u003eEarly third instar \u003cem\u003eDrosophila\u003c/em\u003e larvae underwent dissection immediately after photobleaching (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). A method for quantifying ECM patterns, developed by Wershof et al. (2021) was used to determine differences in fibre alignment, branching, endpoints, or curvature between immunolabeled Prc in the photobleached and sham control ROI. The TWOMBLI parameters in the ImageJ plug-in used were: contrast saturation (0.35), minimum line width (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e), maximum line width (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e), minimum curvature window (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e) maximum curvature window (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e), minimum branch length (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e), maximum display HDM (200), and minimum gap diameter (0). Unpaired t-tests were performed using 2023 GraphPad© Software to test for statistical significance between FRAP and control ROIs. Results were consistent across a range of TWOMBLI parameters.\u003c/p\u003e\u003ch2\u003eRNA extraction\u003c/h2\u003e\u003cp\u003eWhole-body RNA was extracted using the a magnetic bead protocol, based on the method outlined in Yost et al. (2020) (see Supplementary Information). Larvae were pooled as follows: ten larvae per LL2 sample and five larvae per EL3 or ML3 sample. Expression levels were tested three times per genotype for n = 3.\u003c/p\u003e\u003ch2\u003ecDNA synthesis\u003c/h2\u003e\u003cp\u003eFollowing extraction, RNA was reverse transcribed to cDNA using the Applied Biosystems® (Thermo Fisher Scientific) High Capacity cDNA Reverse Transcription kit, according to the manufacturer’s instructions.\u003c/p\u003e\u003ch2\u003eqPCR analysis\u003c/h2\u003e\u003cp\u003ecDNA primers were selected using the DRSC FlyPrimerBank and the NCBI Primer design tool. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was selected as the reference gene. qPCR was performed using the Applied Biosystems StepOnePlus™ Real-Time PCR instrument. Interaction plots of expression data (Δ C\u003csub\u003eT\u003c/sub\u003e) presented here were generated in R Statistical Software (v4.0.2) using the following libraries: emmeans (1.7.2) (\u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e73\u003c/span\u003e), lme4 (1.1–30) (\u003cspan citationid=\"CR74\" class=\"CitationRef\"\u003e74\u003c/span\u003e), ggbeeswarm (0.6.0) (\u003cspan citationid=\"CR75\" class=\"CitationRef\"\u003e75\u003c/span\u003e), and ggplot2 (3.3.6) (\u003cspan citationid=\"CR76\" class=\"CitationRef\"\u003e76\u003c/span\u003e). DCT comparisons employed the Holm-Bonferroni correction for multiple testing.\u003c/p\u003e\u003cp\u003eData were compared with Flybase (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e).\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eA7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eAbdominal segment 7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eBM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eBasement membrane\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eCg25C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eCollagen at 25C\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eCol IV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eCollagen IV\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eDSHB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eDevelopmental Studies Hybridoma Bank\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eDV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eDorsal vessel\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eECM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eExtracellular matrix\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eFRAP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eFluorescence recovery after photobleaching\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eLanA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eLaminin A\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eLox\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eLysyl oxidase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eMMP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eMatrix metalloproteinase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eNdg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eNidogen\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eNGS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eNormal goat serum\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ePBS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ePhosphate buffered saline\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ePBST\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ePhosphate buffered saline with 0.3% Triton-X-100\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ePrc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ePericardin\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ePxn\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003ePeroxidasin\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eROI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eRegion of interest\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eSPARC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eSecreted protein acidic and cysteine rich\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eTIMP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eTissue inhibitor of matrix metalloproteinase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eTrol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eTerribly reduced optic lobes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eUAS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eUpstream activation sequence\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eVkg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eViking\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eWb\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eWing blister\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eWT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eWildtype\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eyw\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\" valign=\"top\"\u003e\n \u003cp\u003eYellow white\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eD.M. wrote the main manuscript and prepared the figures. R.J. assisted with manuscript writing and figure design and acquired funding.All authors reviewed the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eThe authors thank Dr. Ian Dworkin for his statistical assistance and generous sharing of laboratory space, as well as Dr. Rachel Andrews for editorial advice.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eKeeley DP, Hastie E, Jayadev R, Kelley LC, Chi Q, Payne SG, et al. Comprehensive Endogenous Tagging of Basement Membrane Components Reveals Dynamic Movement within the Matrix Scaffolding. Developmental Cell. 2020;54(1):60\u0026ndash;74.e7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTeuscher AC, Statzer C, Goyala A, Domenig SA, Schoen I, Hess M, et al. Longevity interventions modulate mechanotransduction and extracellular matrix homeostasis in C. elegans. Nat Commun. 2024;15(1):276.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eReinhardt M, Drechsler M, Paululat A. Drosophila collagens in specialized extracellular matrices.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTeuscher AC, Statzer C, Pantasis S, Bordoli MR, Ewald CY. Assessing Collagen Deposition During Aging in Mammalian Tissue and in Caenorhabditis elegans. Methods Mol Biol. 2019;1944:169\u0026ndash;88.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGreig J, Bulgakova NA. Fluorescence Recovery After Photobleaching to Study the Dynamics of Membrane-Bound Proteins In Vivo Using the Drosophila Embryo. In: Campbell K, Theveneau E, editors. The Epithelial-to Mesenchymal Transition: Methods and Protocols [Internet]. New York, NY: Springer US; 2021 [cited 2023 May 6]. p. 145\u0026ndash;59. (Methods in Molecular Biology). 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Transverse body wall muscles 21, 22, and 23 within body segment A7 were imaged in FRAP experiments. Generated using BioRender.com.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary figure 2: Nested ROI measurements for more accurate assessment of \u003cem\u003eVkg-GFP\u0026nbsp;\u003c/em\u003efluorescence recovery.\u0026nbsp;\u003c/strong\u003eDuring the photobleaching period, the shape of the predetermined ROI (66X33 \u0026mu;m) becomes distorted by occasional movement of the animal and lateral movement of Vkg-GFP. To control for this, FRAP values are measured using a smaller ROI (33 x 33 mm), nested within the original 66 x 33 mm ROI. Average values for the immediately post-bleach and 24h-post bleach time points appear far lower when measured in the nested ROI relative to the larger original ROI. A one-tailed t-test was performed to determine the difference in fluorescence level between ROIs. The higher post-bleach values measured from the large ROI are likely due movement of tissue during photobleaching. As a result, some of the tissue measured within the ROI dimensions is unbleached. Because the smaller ROI of 33x33 mm is within the larger ROI and only covers bleached tissue, it is a more accurate measurement.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary figure 3: Collagen (ColIVa2) mRNA transcript levels throughout larval development and assessed via qPCR.\u0026nbsp;\u003c/strong\u003eReaction norm plot of mRNA transcript levels at late second (LL2), early third (EL3) and mid-third (ML3) instar. Samples were pooled as follows: 10 larvae per LL2 sample; 5 larvae per EL3 and ML3 sample. For each gene and developmental stage, there were three biological replicates and three technical replicates of each biological replicate (N=3). qPCR was performed on a ThermoFisher Scientific StepOnePlus\u003csup\u003eTM\u0026nbsp;\u003c/sup\u003einstrument. Analysis performed using R version 4.0.2 and libraries \u0026ldquo;lme4\u0026rdquo; and \u0026ldquo;emmeans\u0026rdquo;. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary figure 4: Driverless expression of \u003cem\u003eUAS-timp\u003c/em\u003e decreases normalized fluorescence change relative to controls.\u0026nbsp;\u003c/strong\u003eVkg-GFP fluorescence recovery is intermediate between control (\u003cem\u003eHand-GAL4,Vkg-GFP/yw\u003c/em\u003e) and \u003cem\u003etimp OE\u003c/em\u003e \u003cstrong\u003e(D). \u0026nbsp;\u003c/strong\u003eA one-way ANOVA with Tukey\u0026rsquo;s multiple comparisons test was used to evaluate differences in fluorescence change. The Kruskal-Wallis with Dunn\u0026rsquo;s multiple comparisons test was performed to determine differences in loss and gain. Scale bar in \u003cstrong\u003e(A)\u003c/strong\u003e: 100 \u0026mu;m. N\u0026ge;10.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary figure 5: Vkg-GFP fluorescence recovery is lower with homozygous \u003cem\u003evkg-GFP\u003c/em\u003e.\u0026nbsp;\u003c/strong\u003eCardiac ECM in early to mid-third instar larvae of the genotypes \u003cem\u003eyw; Hand-GAL4,Vkg-GFP/+\u0026nbsp;\u003c/em\u003e(heterozygous Vkg) \u003cstrong\u003e(A-A\u0026rsquo;\u0026rsquo;),\u0026nbsp;\u003c/strong\u003e\u003cem\u003eyw; Hand-GAL4,Vkg-GFP/Vkg-GFP\u0026nbsp;\u003c/em\u003e(homozygous Vkg cross)\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003cstrong\u003e(B-B\u0026rsquo;\u0026rsquo;),\u0026nbsp;\u003c/strong\u003eand \u003cem\u003eyw; Vkg-GFP\u0026nbsp;\u003c/em\u003e(homozygous Vkg) \u003cstrong\u003e(C-C\u0026rsquo;\u0026rsquo;)\u0026nbsp;\u003c/strong\u003epre,\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eimmediately post-bleach, and 24h post-bleach\u003cstrong\u003e.\u0026nbsp;\u003c/strong\u003eNormalized change in Vkg-GFP fluorescence is not statistically different between larvae of the genotypes pictured \u003cstrong\u003e(D)\u003c/strong\u003e. A one-way ANOVA paired with Tukey\u0026rsquo;s multiple comparisons test were used to determine differences in fluorescence change. The Kruskal-Wallis with Dunn\u0026rsquo;s multiple comparisons test was used to evaluate differences in loss and gain between genotypes. Scale bar in \u003cstrong\u003e(A)\u003c/strong\u003e: 100 \u0026mu;m. Error bars represent SEM. N\u0026ge;10.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Extracellular matrix (ECM), basement membrane (BM), fluorescence recovery after photobleaching (FRAP), Collagen IV/Viking, protein turnover, heart/cardiac, Drosophila melanogaster","lastPublishedDoi":"10.21203/rs.3.rs-4870374/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4870374/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eA wealth of knowledge regarding the functions of Extracellular Matrix (ECM) macromolecules from \u003cem\u003ein vitro\u003c/em\u003e or disease models strives for validation in intact animals. In particular, the progression of cardiomyopathies is tightly linked to pathological changes in the heart ECM. To address this in the \u003cem\u003eDrosophila\u003c/em\u003e model, we developed a novel adaptation of fluorescence recovery after photobleaching (FRAP), which allows us to assess ECM protein incorporation during growth in living, intact larvae. Recovery of fluorescently tagged protein is a proxy for addition or relocation of ECM protein. We focus on Collagen IVα (Viking), a conserved protein thought to be a stable component of the basement membrane (BM). We established a time course for Vkg-GFP fluorescence accretion in three different BMs through larval development, under normal conditions and when Matrix Metalloprotease or its inhibitor, TIMP is overexpressed. We demonstrate that the gain and loss of Collagen trimers from the basement membrane changes over developmental time and between tissues. High variability in measured fluorescence reduced the sensitivity of this approach. During growth, a strong phasic wave of Vkg accumulation was detected at the second to third instar ecdysis, potentially supporting growth of the new instar. Between organs, flux of Vkg was high in somatic muscle, intermediate in the heart and low in trachea. Heart-specific overexpression of \u003cem\u003emmp2\u003c/em\u003e and its inhibitor \u003cem\u003etimp\u003c/em\u003e, modified the dynamics of Vkg-GFP flux. We find that MMPs are positive regulators of Vkg/Col IV turnover in the ECM, in alignment with current models of ECM regulation.\u003c/p\u003e","manuscriptTitle":"A novel adaptation of FRAP quantifies the movement of Drosophila Basement Membrane Collagen in vivo","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-09-02 18:52:44","doi":"10.21203/rs.3.rs-4870374/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"624c0050-e094-473d-b637-98a6e9fb44ea","owner":[],"postedDate":"September 2nd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-04-16T16:10:34+00:00","versionOfRecord":[],"versionCreatedAt":"2024-09-02 18:52:44","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4870374","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4870374","identity":"rs-4870374","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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