Keywords
mechanical rejuvenation, epigenetic activation , ERK signaling 20
pathway, human dermal fibroblasts. 21
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This PDF file includes: 22
Main Text 23
Figures 1 to 7 24
Abstract
25
Age-related changes in human dermal fibroblasts (HDFs) contribute to impaired 26
wound healing and skin aging. While these changes result in altered 27
mechanotransduction, the epigenetic basis of rejuvenating aging cells remains 28
a significant challenge. This study investigates the effects of compressive 29
forces on nuclear mechanotransduction and epigenetic rejuvenation in aged 30
HDFs. Using a compressive force application model, the activation of HDFs 31
through alpha -smooth muscle actin ( ɑ-SMA) is demonstrated. Sustained 32
compressive forces induce significant epigenetic modifications, including 33
chromatin remodeling and altered histone methylation patterns. These 34
epigenetic changes correlate with enhanced cellular migration and 35
rejuvenation. Small -scale drug screening identifies the extracellular signal -36
regulated kinase (ERK) signaling pathway as a key mediator of compression -37
induced epigenetic activation. Furthermore, implanting aged cell spheroids to 38
an aged skin model and subjecting the tissue with compressing forces resulted 39
in increased collagen I protein levels. Collectively, these findings demonstrate 40
that applying compressive force to aged fibroblasts activates global epigenetic 41
changes through the ERK signaling pathway, ultimately rejuvenating cellular 42
functions with potential applications for wound healing and skin tissue 43
regeneration. 44
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Significance Statement 45
46
Partial rejuvenation of aging cells is desirable but is still a major challenge. In 47
this paper, we demonstrate that aged human dermal fibroblasts, embedded in 48
a 3D collagen hydrogel matrix as spheroids, subjected to external static 49
compressive force exhibit partial rejuvenation. Through immunofluorescence, 50
small-scale inhibitor screen and gene expression analysis, we identify some of 51
the critical mechanotransduction pathways in this process. Collectively, our 52
Results
provide compelling evidence that tissue compression results in the 53
activation of potential rejuvenation pathways in aging cells. 54
55
Introduction
56
Cellular aging is accompanied by various changes in the characteristics of cells, 57
such as genomic instability, telomere attrition, epigenetic changes, loss of 58
proteostasis, deregulated nutrient sensing, mitochondrial dysfunction, cellular 59
senescence, stem cell exhaustion, and altered intercellular communication (1). 60
For example, dermal fibroblasts secrete various extracellular matrix proteins 61
(ECM) into the dermal compartment and contribute to matrix stiffness of the 62
skin (2). Many studies have shown that aging leads to accumulation of 63
senescent fibroblasts resulting in decreased ECM production thereby leading 64
to a loss of skin tissue integrity and of wound healing properties (3). A major 65
challenge in the field is how such aging cells can be activated or rejuvenated. 66
Current strategies to combat aging include induced pluripotent stem cells 67
(iPSC) and mechanical reprogramming (4, 5), metabolic manipulation (daily or 68
intermittent caloric restriction), blood transfusion, small molecule drugs 69
(Rapamycin, Metformin, Ascorbate and Aspirin) and senescent cell ablation 70
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(Senolytics) (6). Mechanical forces (stretch, shear, compression) have also 71
been shown to activate major signaling pathways, cytoskeleton/chromatin 72
remodeling and gene expression (7 –10). Since cells sense extracellular 73
mechanical cues in tissue microenvironments, we hypothesized that 74
compressive forces could enable the activation/rejuvenation of aging cells. 75
Recent literature has also shown that cancer cells under tissue compression 76
could get activated to a metastatic phenotype (11). Based on previous studies, 77
including our own, on the effects of compressive force on cellular function (12, 78
13), we designed an engineered tissue embedded with aging cells and revealed 79
that tissue compression could provide important avenues for cell 80
activation/rejuvenation. 81
82
In this paper, we develop a force application device, which includes human 83
dermal fibroblasts (derived from a 75 year old healthy male donor) embedded 84
in a 3D collagen hydrogel matrix and subjected to external loading in the form 85
of static compressive force. Using a fibroblast spheroid model, we show that 86
HDFs can be activated by compressive force, as evidenced by increased levels 87
of ɑ Smooth Muscle actin (ɑSMA) and the accompanying cellular memory 88
responses. In particular, we measure the levels of phosphorylated myosin light 89
chain (pMLC) levels, cytoskeletal remodeling, chromatin modifications, reduced 90
DNA damage, global gene expression, and cell migration to demonstrate the 91
activation of HDFs. A key element of the activation process involves the 92
clumping of aged cells into spheroids before the application of force, as single 93
cells embedded in a collagen matrix under compressive force do not undergo 94
activation. We also validated our findings in an artificial aged skin model and 95
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observed an increase trend in collagen 1protein levels in the spheroid injection 96
group compared to the single -cell injection group. Collectively, our results 97
provide compelling evidence that tissue compression results in the activation of 98
potential rejuvenation of aging cells. 99
100
Results
101
Compressive force induces transient activation of fibroblasts and 102
promotes rejuvenation 103
We established two models for 3D cell culture: one involve s embedding aged 104
fibroblasts as single cells in a collagen hydrogel (hereafter called the single cell 105
model), and the other involves aged fibroblasts as spheroids embedded in a 106
collagen hydrogel (called spheroid model) (Figure 1A, Figure S1E). To achieve 107
the spheroid model, GM08401 fibroblasts (75 year old donor, old group) and 108
GM09503 fibroblasts (10 year old donor, young group) were cultured on 109
fibronectin-coated micropatterns overnight to form spheroids with diameters 110
ranging from 50 μm to 150 μm (Figure S1B), resulting in spheroids with cell 111
numbers ranging from 30 to 100 (Figure S1C). We added collagen hydrogel 112
1 mg/ml concentration on top of the spheroids and applied a metal or glass ring 113
to confine the 3D matrix, preventing collagen hydrogel shrinkage during the cell 114
culture process (see Methods). Finally, a compressive force ~5% strain 115
(referred as 1xload) and ~15% strain (referred as 2xload) was added on top of 116
the collagen hydrogel (Figure S1A, S1D and S1E) followed by culturing for 48 117
hours. 118
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After two days of culture, we evaluated fibroblast activation using 119
immunofluorescence markers such as ɑSMA and pMLC (Figure 1B and C). We 120
found that cells in the single cell 3D model showed low expression of ɑSMA, 121
when compared to the 3D spheroid model (Figure 1B), although the F -actin 122
expression level is higher in the single cell model as shown in Figure 1B. These 123
Results
suggest that the activation of fibroblasts was more pronounced in 124
spheroid models, highlighting the importance of compressive forces in 3D 125
spheroid to regulate cellular function. In subsequent studies, we will therefore 126
use the spheroid model to assess its applications to cellular rejuvenation. 127
Under compressive force conditions, both old and young fibroblasts became 128
activated, as indicated by the increased level of ɑSMA compared to the unload 129
group (Figure S3A and Figure S3B). The increased level of pMLC also implies 130
that these cells are in an active state (Figure 1C). Since senescence is a 131
hallmark of aging, we sought to determine if the application of compressive 132
force alters senescence -associated properties. Towards this we performed 133
beta-galactosidase staining and found fewer positively stained cells in the 134
2xload group, suggesting that the applied load reduces senescence of aged 135
cells as shown in Figure 1D. Next, we measured the persistence of the 136
activated state of the fibroblasts in the 2xload group. To do this we removed the 137
load after culturing the cells in 3D under load condition for 48 hours and 138
continued to culture for 5 days as shown in Figure 1E and 1F. We found that 139
the ɑSMA level increased at day 1 and then decreased at day 4 and 5 (Figure 140
1F) suggesting that fibroblasts were transiently activated. Further, many of the 141
cellular and nuclear morphometric parameters that changed with compressive 142
force were also reversed upon the removal of compressive force (Figure 1F and 143
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Figure S3C and S3D). In summary, the increased cell contractility, as 144
evidenced by elevated ɑSMA and pMLC levels, along with reduced senescence 145
under compressive force conditions and the ability to revert back to a non -146
activated state after removing the load, suggesting that our spheroid model with 147
load application has the potential to induce rejuvenation properties in aged 148
cells. 149
Mechanical force stabilizes microtubules and facilitates chromatin 150
remodeling. 151
Since cellular aging is accompanied by alterations in cytoskeletal and chromatin 152
remodeling, we next evaluate the role of compressive forces on such 153
cytoskeletal and chromatin remodeling. Upon application of compressive 154
forces, microtubule reorganization was more evident as shown in Figure 2A, 155
compared to F -actin (Figure S2E) . α -tubulin intensity, a component of 156
microtubules, is higher after the application of compressive load , and the 157
microtubule network is much more complex compared to the unload group 158
(Figure S9A-C). In addition, Lamin A/C, a nuclear protein playing a key role in 159
force transmission from the cytosol into the nucleus (14), showed not much 160
significant differences between the two groups (Figure 2A). Lamin B interacts 161
with chromatin and contributes to nuclear organization, by anchoring 162
heterochromatin to the nuclear periphery (15). Compared to unload group, 163
Lamin B intensity increased in 2xload group (Figure 2A and Figure S6C). 164
Cells undergo chromatin remodeling in response to mechanical forces as a 165
protective mechanism to maintain genome integrity (16). Our subsequent 166
investigation focused on chromatin organization, highlighting key players such 167
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as H3K9me3 (Histone 3 Lysine 9 Trimethylation), H3K4me3 (Histone 3 Lysine 168
4 Trimethylation) and HP1a (Heterochromatin Protein 1 alpha). H3K9me3 and 169
H3K4me3 are commonly associated with distinct chromatin regions, with 170
H3K9me3 linked to heterochromatin and H3K4me3 associated with 171
euchromatin (17, 18), while HP1a, binding to H3K9me3, plays a crucial role in 172
forming and maintaining heterochromatin structures (19). In line with these 173
findings, compressive forces on HDFs resulted in increased levels of H3K9me3, 174
and HP1a, and decreased levels of H3K4me3, as indicated in Figure 2B and 175
Figure S6A, S6B. Interestingly, upon removal of the load, HP1a level exhibited 176
an increase trend as shown in Figure S6B. Consistent with Figure 2B, high 177
resolution DAPI -stained images of nuclei showed increased puncta like 178
structure in 2xload group and an analysis of nuclear morphology and chromatin 179
intensity features demonstrated condensed chromatin under mechanical load 180
(Figure 2C) and an increased ratio of heterochromatin to euchromatin (Figure 181
2D, Figure S6D and TableS4). Taken together, these findings suggest that 182
mechanical force not only stabilizes microtubules but also contributes to 183
increased chromatin condensation possibly contributing to genome stability. 184
Mechanical force enhances cell migration primarily through nucleus -185
cytoskeleton axis 186
Upon observing the activation of fibroblasts and increased microtubule 187
organization with compressive forces, we subsequently investigated its role on 188
cell migration. Since cellular aging results in reduced cell migration, the goal of 189
these experiments was to assess if mechanical forces increased cell migration, 190
as possible routes to cellular rejuvenation. In both old and young groups, under 191
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compressive force conditions, cell migration was significantly higher than in the 192
unloaded groups, as shown in Figure 3A and Figure S2A. In addition, cell 193
migration speed in the aged cells increases with the applied load, as depicted 194
in Figure S2B. Figure S2C and S2D also shows cell migration enhanced with 195
compressive load and after removal of the load. Since cellular perception of 196
compressive forces are transduced via membrane proteins such as G protein-197
coupled receptors (GPCRs), Piezo, integrins, and calcium channels, and 198
transduce these signals into the nucleus via cytoskeletal components including 199
actin, microtubules, and intermediate filaments (20, 21), we carried out a small-200
scale drug screen to identify critical signaling intermediates in our compressive 201
force induced HDF activation and migration. 202
In Figure 3 B-E (large area as shown in Figure S 4A-C), we applied several 203
inhibitors to perturb possible intermediators shown in Figure 3C. We found that 204
Latrunculin A, Nocodazole, and PD98059 are the three most effective inhibitors 205
which inhibit cell migration among these interventions. Apart from the above-206
mentioned inhibitors, the Y27632 (ROCK inhibitor) group reduces the cell 207
migration area but the cell number increases. On the other hand, in the PF -208
573228 (FAK inhibitor (22)) group, cell migration was not significantly affected 209
compared to the 2xload group. Collectively, we identified that inhibition of actin, 210
microtubules and ERK pathway had a critical role in force induced HDF 211
activation and migration. Given the specific roles of ERK pathway in aging and 212
rejuvenation, we next assessed the interplay between compressive forces, 213
chromatin organization, DNA damage and transcription control with a particular 214
focus on ERK inhibition. 215
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Mechanical load orchestrates chromatin reorganization, and diminishes 216
DNA damage through ERK Signaling 217
Based on our findings showing that PD98059 inhibits cell migration to a greater 218
extent, our next step is to investigate the effect of ERK inhibitor on chromatin 219
remodeling and gene expression. As depicted in Figure 4A, 220
immunofluorescence of pERK reveals that ERK undergoes phosphorylation 221
and translocates into the nucleus upon compressive forces. After adding drug 222
PD98059, pERK level decreased in the nucleus as shown in Figure 4B (images 223
are shown in Figure S8). 224
Next, we measured H3K9me3 and H3K4me3 levels and observed an increase 225
of these markers in the PD98059 group as shown in Figure 4C and Figure S6A. 226
Increase in H3K9me3 and H3K4me3 suggests that ERK plays a role in the 227
regulation of chromatin organization through histone modification. Lamin B 228
expression level decreased after adding PD98059 in Figure 4C and Figure 229
S6C. This suggests that the nuclear translocation of pERK may potentially 230
affect chromatin structure and the activity of transcriptional regulators. 231
We then examined whether cells experienced DNA damage by assessing 232
γH2AX, a well -established DNA damage marker (23). Surprisingly, our 233
observations in Figure 4D revealed a notable mitigation of cellular DNA damage 234
under mechanical load as indicated in foci number. In Figure S7A, where the 235
fixed unload group and fixed load group serve as control groups, DRAQ7 236
staining data revealed the appearance of dead cells in the spheroid center 237
under compressive force conditions. In Figure S7B, upon addition of the drug 238
PD98059, we observed an increase in the level of γH2AX in the unload 239
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condition, indicating an elevation in DNA damage. To further investigate the 240
impact of mechanical load on DNA damage response, we introduced cisplatin, 241
a known inducer of DNA damage. Remarkably, in the 2xload+cisplatin group, 242
cellular damage decreased compared to the unload+cisplatin group (Figure 243
S7C). 244
The observed protective effects against DNA damage prompts the hypothesis 245
that compressive force promotes DNA repair. Next, we sought to investigate 246
whether ATM, a key protein kinase, is involved in the cellular response to DNA 247
damage under force conditions. Surprisingly, in our study (Figure 4D), the 248
administration of KU55933 (an ATM inhibitor) did not significantly affect DNA 249
damage compared to 2xload group, and cell migration remained unaffected 250
(Figure 3D and 3E). Similarly, there were no statistically significant changes 251
observed in the γH2AX levels between the 2xl+PD98059 group and the load 252
groups. Moreover, the γH2AX level in the 2xl+PD98059 group shows a non -253
significant decreasing trend compared to the control group (Figure 4D). This 254
prompts the hypothesis that compressive force prevents DNA damage not via 255
an ATM-dependent ERK signaling pathway, but possibly through a mechanism 256
involving physical force-induced chromatin interactions. Next, we investigated 257
whether DNA damage affects the activation properties under mechanical force 258
using immunofluorescence levels of ɑSMA. As shown In Figure 4E, the 259
immunofluorescence images from all four conditions showed lower levels of 260
ɑSMA in cisplatin groups compared to compressive load conditions. These 261
findings underscore the intricate involvement of ERK in governing cellular 262
processes, ranging from chromatin organization to DNA damage response. 263
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Coupling between ERK signaling and differential gene expression upon 264
compressive forces 265
To further characterize transcription profiles and gene expression changes 266
associated with enhanced migration, rejuvenation, and ERK signaling 267
pathways, we conducted global RNA sequencing analysis under different 268
conditions as shown in Figure S10A -D. From the RNA -Seq analysis, we 269
observed significant upregulation of 278 genes in the 2xl group compared to 270
the unload condition (fold change > 2, adjusted p value < 0.1) (Figure 5A), and 271
612 genes were upregulated in the 2xl group compared to the PD98059 group 272
(Figure 5B). Gene Ontology (GO) biological process analysis of these 273
differentially expressed genes (278 and 612 DEGs) revealed enrichment in cell 274
migration along with other important cellular processes (Figure 5A and 5B). 275
Kyoto Encyclopedia of Genes and Genomes (KEGG ) pathway analysis of the 276
278 DEGs highlighted the involvement of Mitogen -activated protein kinases 277
(MAPKs) during this process (Figure 5C and Figure S12A). GO cellular 278
component analysis of the 278 DEGs revealed that they are associated with 279
extracellular matrix, while GO molecular function analysis indicated enrichment 280
in growth factor activity, extracellular matrix structural constituent, and 281
metallopeptidase activity (Figure S10E). Similarly, KEGG analysis of the 612 282
DEGs validated the importance of MAPKs in this process (Figure 5C and Figure 283
S12B). GO cellular component analysis for the 612 DEGs showed enrichment 284
in the extracellular matrix, while GO molecular function analysis highlighted 285
their association with growth factor receptor activity (Figure S10F). The overlap 286
of 119 genes between the 278 DEGs and 612 DEGs showed consistent results 287
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in terms of GO biological process analysis, GO cellular component analysis, 288
GO molecular function analysis, and KEGG pathway analysis (Figure S10D and 289
S10G). Additionally, FOXO signaling pathway involvement was noted in KEGG 290
pathway analysis, underscoring its significance in rejuvenation. 291
Subsequent analysis of gene expression using DE -seq normalized results 292
revealed changes in several genes. We divided these into groups based on 293
their enrichment in the functional pathways such as ERK -related genes, 294
microtubule-related genes, migration-related genes, DNA repair-related genes, 295
and rejuvenation-related genes (Figure 5D). Among the ERK -related genes, 296
downregulation was observed in most genes in the PD98059 group, while 297
upregulation of Insulin Receptor (INSR), Son of Sevenless homolog 1 (SOS1), 298
Ribosomal Protein S6 Kinase A1 (RPS6KA1), B-Raf Proto-Oncogene (BRAF), 299
Epidermal Growth Factor ( EGF), and Epidermal Growth Factor Receptor 300
(EGFR) in the 2xload group suggested their involvement in ERK activation, 301
directly or indirectly. Microtubule -related genes exhibited diverse expression 302
patterns, notably characterized by the downregulation of STMN1, which is 303
associated with microtubule destabilization, and the upregulation of MAPRE3 304
and RAC1 in the 2xload group, influencing microtubule dynamics and 305
organization. Migration -related gene analysis, including ECM -related genes, 306
mechanosensor-related genes, and Rho signaling pathway -related genes, 307
using qRT-PCR, revealed consistent trends with part of RNA-seq data analysis 308
(Figure S11). DNA repair -related mechanisms encompassing base excision 309
repair, nucleotide excision repair, homologous recombination, mismatch repair, 310
Fanconi anemia pathway, and non -homologous end -joining were examined 311
(KEGG pathway information reviewed in Figure S13 A-F). Notably, upregulation 312
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of USP1, RMI2, and FANCE in the 2xload group, associated with the Fanconi 313
anemia pathway, was observed among DNA repair -related genes. 314
Rejuvenation-related gene analysis revealed the upregulation of MBD2, KL, 315
SIRT1, NFE2L2, LBR, and FOXO3, alongside the downregulation of MTOR in 316
2xload group, all of which are associated with longevity (KEGG pathway 317
information reviewed in Figure S14 A-D). 318
In summary, our RNA -seq results align with the observations of enhanced 319
migration, involvement of the ERK signaling pathway, and cellular rejuvenation. 320
Compressive forces on implanted spheroids in an FT AGED skin model 321
show aged fibroblast activation. 322
To explore the potential applications in translational medicine, we utilized an 323
artificial aged skin tissue model to investigate whether aged fibroblasts could 324
be activated (Figure S15). We injected either single cells or spheroids into the 325
skin tissue, followed by the application of compressive force or no force as a 326
control. Cells were localized around the injection site, as shown in Figures 327
S16A and S16B. Compared to the control group (without cell injection), we 328
observed relatively higher levels of αSMA and collagen I protein in the 329
experimental groups with cell injections (Figures S17 and S18). Under 330
compressive force conditions, collagen I expression was higher in the spheroid 331
group compared to the single -cell group (Figure 6A). Similarly, elastin protein 332
levels in the spheroid group under compressive force showed an increasing 333
trend compared to the single -cell group under the same conditions (Figure 334
S18). However, under the current experimental conditions, the levels of 335
fibronectin and elastin were much less upregulated with compressive force 336
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compared to collagen 1 secretion (Figures S17 and S18). 337
338
Discussion
339
340
In summary, this paper presents a new approach for activating/rejuvenating 341
aging dermal fibroblasts using compressive forces. We selected 5% and 15% 342
strain as indicators of compressive force, based on the assumed Young's 343
modulus of collagen hydrogel around 100 Pa (Figure S1D) (24–26). This differs 344
from other studies that use pressure as an index (10, 11, 13, 27, 28). Our 345
previous work demonstrated that compressive force induces actin 346
depolymerization and leads to transcriptional quiescence at 2D single cell level 347
(13). However, in 3D, compressive forces have been shown to activate cancer 348
cell migration (11). In this paper, we hypothesized that by forming spheroids of 349
aged cells which lead to the depolymerization of cytoskeletal filaments, may 350
trigger activation pathways upon the application of compressive forces. 351
In particular, cells and nuclei adopt a relatively rounder morphology, compared 352
to polarized single cells, when clumped in the designed pattern (Figure S1C). 353
In this configuration, they exhibit a soft, highly sensitive state, poised to respond 354
to external cues and initiate cellular processes. When such cells experience 355
external forces at a global level, the highly viscoelastic cytoskeletal organization 356
can activate cytoskeletal remodeling pathways (21, 29). This process entails 357
the dynamic reorganization of actin filaments, microtubules, and intermediate 358
filaments, forming networks that serve as mechanotransducers. These 359
networks could facilitate the direct transmission of mechanical signals from the 360
extracellular environment to the nucleus via the linker of nucleoskeleton and 361
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cytoskeleton (LINC) complex, ultimately influencing downstream gene 362
transcription (8, 9). Conversely, the nucleus, which exhibits active rheological 363
properties, can function as the primary mechano -sensor when subjected to 364
sudden compressive forces (30). In our model, we observed a clear increase in 365
cell contractility, as indicated by elevated levels of phosphorylated myosin light 366
chain (pMLC). Additionally, we noted a complex reorganization of the 367
microtubule network, accompanied by an increase in Lamin B expression and 368
enhanced chromatin remodeling marked by increased levels of H3K9me3 and 369
HP1a, while H3K4me3 decreased. These findings suggest that mechanical 370
forces trigger cytoskeleton reorganization and chromatin remodeling. 371
Previous study has demonstrated that mechanical forces increase ɑSMA 372
expression and its incorporation into actin filaments by activating two distinct 373
signaling pathways: Rho/Serum Response Factor (SRF) and Mitogen -374
Activated Protein Kinase p38 (MAPK p38)/SRF (31). Consistent with these 375
findings, our results indicate an increase in αSMA expression under 376
compressive loading conditions, as shown in Figure 1B. As cells age, it is 377
commonly observed that H3K9me3 levels decrease while H3K4me3 levels 378
increase, accompanied by decreased HP1a levels and reduced LaminB 379
expression (1). Surprisingly, in our novel model, we observed a converse trend. 380
These findings suggest that the clumped HDFs (spheroids), upon sensing 381
compressive forces, initiate fibroblast activation pathways including their 382
potential rejuvenation, a notion further supported by our beta -galactosidase 383
staining results. 384
Previous research has elucidated the role of mechanical compression in 385
regulating cancer cell migration through the MEK1/ERK1 signaling pathway 386
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(12). In this study, compressive force enhanced cell migration, but whether this 387
migration is driven by microtubules is unknown. During migration, cells extend 388
filopodial or lamellipodial protrusions, form focal adhesions, and undergo 389
cytoskeletal reorganization to generate force (32, 33). ERK phosphorylates key 390
proteins involved in these processes, including microtubule-associated proteins 391
(MAPs), focal adhesion kinase (FAK), calpain, and myosin light chain kinase 392
(MLCK), thereby providing essential cues for cell migration (34–37). 393
Additionally, phosphorylated ERK functions as a mechanosensory transcription 394
factor capable of shuttling between the nucleus and cytosol to regulate gene 395
expression, thereby exerting influence over cell migration dynamics (38). In our 396
study, we demonstrated the significance of the force transmission pathway 397
between the cytoskeleton and nucleus, as well as ERK signaling, in influencing 398
cell migration. Employing a targeted approach, we conducted small -scale 399
inhibitor screening and utilized a dominant -negative (DN) KASH construct to 400
dissect the specific pathways involved. Our findings revealed that inhibitors 401
targeting the cytoskeleton, including Blebbistatin, Cytochalasin D, Latrunculin 402
A, Nocodazole, and Withaferin A, significantly impeded cell migration (Figure 403
3B-E). This underscores the critical role of the cytoskeleton in mediating force 404
transmission essential for cell motility. Moreover, disruption of the LINC 405
complex by the DN KASH (Figure 3B -E) construct corroborated these 406
observations, further emphasizing the importance of the cytoskeleton -nucleus 407
connections in governing cell migration dynamics. Inhibition of ERK1/ERK2 408
with PD98059 resulted in a notable decrease in cell migration distance. This 409
highlights the pivotal role of ERK signaling in cell migration. In contrast, 410
inhibition of FAK with PF -573228 had minimal effects on cell migration, 411
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highlighting the differential roles of focal adhesion-related signaling pathways. 412
413
Upon activation, ERK undergoes phosphorylation, resulting in its transformed 414
state, pERK, which then translocates into the nucleus to regulate histone 415
modifications. While a previous study suggested that ERK activation increases 416
H3K4me3 levels in 2D culture conditions (39), interestingly in our 3D model with 417
compressive forces, inhibition of ERK led to an increase in H3K4me3. We 418
propose a possible mechanistic explanation for this observation: under 419
compressive force conditions, perturbation of ERK affects cytoskeletal 420
structure, resulting in reduced cytoskeletal formation and increased softness of 421
the nucleus, as indicated by decreased laminB levels. This could result in higher 422
levels of both H3K4me3 (a euchromatin marker) and H3K9me3 (a 423
heterochromatin marker), reflecting a global change in chromatin architecture 424
in response to ERK perturbation under compressive force conditions. 425
426
Our RNA -seq data revealed that under compressive force conditions, the 427
expression of genes such as INSR, BRAF, EGF, and EGFR increased. These 428
genes are upstream regulators of the ERK pathway, which initiates ERK 429
signaling cascades in response to various extracellular stimuli (36). 430
Additionally, the expression of RPS6KA1, also known as RSK1, increased. 431
RPS6KA1 is a downstream effector of the ERK pathway and is involved in 432
mediating cellular responses to ERK activation. Several studies have 433
highlighted the role of mechanical force in regulating key signaling molecules 434
such as the insulin receptor, BRAF, and EGFR (40–42). Our study presents 435
novel findings demonstrating that mechanical force activates aged dermal 436
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human fibroblasts through the ERK signaling pathway. As mechanosensory 437
genes, we observed an upregulation of YAP1, TRPV4, and PIEZO2 gene 438
expression levels under 2x load conditions compared to the unloaded state, 439
while PIEZO1 was downregulated under 2x load conditions. Intriguingly, when 440
the ERK inhibitor PD98059 was applied, TRPV4 and PIEZO1 gene expression 441
levels were further inhibited, indicating a potential link between ERK and 442
TRPV4/PIEZO1 in our model. Consistently, previous research has 443
demonstrated that mechanical forces can regulate TRPV4 and PIEZOs (43). 444
Moreover, another study has shown that mechanical force can activate TRPV4, 445
subsequently leading to the induction of the ERK signaling pathway (44). These 446
findings align with our observations and support the notion of a mechanistic 447
relationship between mechanical force, TRPV4/PIEZO1, and activation of ERK 448
signaling pathway. Upon inhibiting ERK, we observed the upregulation of 449
CLASP2, MAP2, MAPT, and HSPA1A genes, which are known to be involved 450
in microtubule dynamics. This suggests the presence of a compensatory 451
response or feedback mechanism triggered by the inhibition of ERK signaling, 452
highlighting the intricate interplay between mechanical force, ERK signaling, 453
and cellular responses related to microtubule dynamics. 454
We observed a reduction in DNA damage under compressive force conditions, 455
as indicated by decreased γH2AX immunostaining, suggesting enhanced DNA 456
repair mechanisms. Our RNA sequencing data revealed the involvement of the 457
Fanconi anemia pathway, known for anti-oxidative stress (45). This reduction in 458
DNA damage aligns with the activation or rejuvenation required for aging cells. 459
Previous study demonstrated decreased DNA damage under load conditions 460
attributed to heterochromatin organization and low levels of H3K9me3 (16). 461
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However, our results showed an upregulation of H3K9me3, potentially due to 462
differences in cell culture models (2D vs. 3D). Notably, we observed no change 463
in nucleus stiffness, as indicated by Lamin A/C immunostaining data. In our 464
RNA sequencing data, rejuvenation-related genes such as MBD2, KL, SIRT1, 465
NFE2L2, LBR, and FOXO3 were upregulated. MBD2 can reduce CpG 466
methylation levels, delaying aging (46). KL has been shown to improve 467
cognitive function, serving as a longevity factor (47). SIRT and FOXO3 are 468
known to slow cellular senescence (48), while NFE2L2 acts as a transcription 469
factor sensitive to reactive oxygen species (ROS) and nitric oxide (NO), induced 470
by exercise, and protects cells against cytotoxic and oxidative damage (49). 471
Upregulation of LBR can increase cell proliferation and suppress genomic 472
instability, supporting the rejuvenating proces s (50). Upon load removal, cells 473
maintained their migration behavior, initially exhibiting sustained high levels of 474
αSMA followed by a decrease in our model, along with sustained increased 475
expression of HP1 a. The persistent expression of HP1 a indicates that 476
chromatin organization remains unchanged even after load removal within 5 477
days. The sustained expression of αSMA initially followed by a decrease in our 478
model represents an intriguing finding, particularly considering that prolonged 479
αSMA expression is associated with fibrosis. In the skin tissue model, after two 480
days of incubation, the spheroid group exhibited higher secretion of collagen 1 481
compared to the single-cell group, highlighting the significance of compressive 482
force induced tissue regeneration properties (Figure 6A). 483
Collectively, the activation of fibroblasts upon compressive force, cytoskeletal 484
and chromatin remodeling, and transition from a mesenchymal to collective 485
migration mode of aged HDFs may signify cellular rejuvenation (Figure 6B), 486
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crucial for both tissue regeneration and wound healing and could serve as a 487
valuable platform for drug screening. 488
Methods
489
490
Fabrication of micropatterned PDMS stamps and microcontact printing 491
Polydimethylsiloxane (PDMS, SYLGRAD TM 184 Silicone Elastomer Kit) 492
elastomer is prepared by blending the base and curing agent at a 10:1 ratio. A 493
typical quantity of 20 -25g proves sufficient to entirely coat the custom wafer 494
surface (1,800 μm2 rectangles, (aspect ratio 1:5), distance between rectangles 495
is 500μm). PDMS is poured onto the wafer, and subjected to degases within a 496
vacuum chamber for 30 minutes until the absence of air bubbles on the surface 497
is achieved. Subsequently, the curing process is initiated at a temperature of 498
60°C for a duration of 3 hours. Following the cooling phase, the PDMS material 499
is carefully detached from the substrate using a pair of tweezers. It is then 500
sectioned into a round 1cm 2 square pieces and stored within clean containers 501
to avert the accumulation of particulate matter. The PDMS surface is activated 502
by a Plasma machine (Henniker Plasma, HPT -200). Briefly, O2 gas was used 503
by exposing the stamps to it for 1.5 min at 75% power, with pressure 0.4mbar. 504
A mixture solution was prepared which includes fibronectin (MERK, F1141) and 505
protein labeling kit (invitrogen, A20170A) in PBS at a concentration of 10% and 506
3%, respectively. For microcontact printing (mCP), a 10ul fibronectin mixture 507
solution is applied onto the PDMS surface and observed under microscope for 508
appropriate drying. After the fibronectin deposited on PDMS was dried, it was 509
then stamped onto the un -coated IBIDI dishes (ididi, µ -Dish 35 mm, high, 510
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uncoated Cat.No:81151) and pressed gently using tweezers after which the 511
PDMS is then carefully lifted. Finally these imprinted micro patterns were 512
observed under EVOS fluorescence microscope..After careful selection of the 513
dishes, they were passivated using 0.2% pluronic acid (Sigma, P2443) for 10 514
min followed by washing with PBS three times before seeding the cell. 515
Cell culture 516
GM08401 (75 years old) and GM09503 (10 years old) healthy human dermal 517
fibroblast cells (male origin) were obtained from the NIGMS Human Genetic 518
Cell Repository at the Coriell Institute for Medical Research. The HDFs are 519
cultured in MEM (Gibco, 11090 -081) with 1 5% FBS (Thermo Fisher, 520
16141079), 1 % P/S (Penicillin and Streptomycin) (PAN BIOTECH, P06 -521
07300), 1% Glutamax (100x, Gibco, 35050-038) and 1% NEAA (100x, Gibco, 522
11140-035) under 5% CO2 and 37 °C. HEK293T cells (gift from Dr. Deborah 523
Walter) were cultured in high -glucose DMEM supplem ented (BioConcept, 1 -524
26F03-1) with 10% (v/v) fetal bovine serum (Dominigue Dutscher, S1900-500B) 525
and 1% P/S. 526
527
Application of static compressive force in 3D culture model. 528
70,000 old HDF cells were seeded on fibronectin -coated micropatterns in an 529
ibidi dish overnight to form spheroids. 1mg/ml Collagen gel mixture was 530
prepared from Collagen type I from rat tail (Gibco, A1048301) according to the 531
manufacturer protocol. 400ul of 1mg/ml collagen hydrogel was applied on top 532
of the spheroid and allowed for the polymerization for 1 hour in the incubator at 533
37 °C. After 1h incubation metal ring or glass ring was placed on top of collagen 534
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gel to avoid shrinkage during prolonged culture conditions. Glass coverslip 535
(VWR, 631-1577, 12mm round) was used for compressive force and placed 536
carefully without disrupting the gel inside the ring. For 5% applied compressive 537
force 3 stacked coverslips and for 15% 7 stacked coverslips were used (Figure 538
S1D). 539
Immunostaining 540
Collagen hydrogel samples were fixed with 4% paraformaldehyde (Merk, 541
F8775-25ML) for 1h and the coverslip, used to apply compressive forces, was 542
then removed carefully. Gels are then washed with 100mM glycine (Roth, 543
Nr.3790.3) three times to prevent excess fixation. Permeabiliz ation was done 544
for 20 minutes with 0.8% Triton X -100 for γH2AX and ERK staining and 545
0.5%Triton X-100 was used for the rest of the markers. This was followed by 546
washing with 100mM glycine for three times. Samples were then blocked with 547
10% NGS (Abcam, ab7481) in wash buffer PBS (PanReac Applichem, A0964 548
9050) containing 0.2%Triton and 0.2% Tween20 (Sigma, SLBZ8563) for three 549
hours at room temperature (For γH2AX and ERK staining PBS containing 550
0.3%Triton and 0.2% Tween20 wash buffer used for blocking ). Primary 551
antibody staining was done with 10% goat serum in the wash buffer for two 552
days at 4 °C. Next day, the gels were washed with a buffer ( PBS containing 553
0.2%Triton and 0.2% tween20 ) for 10 -15 minutes each wash three times. 554
Secondary antibody staining 1:300 dilution was done in 5% goat serum in the 555
wash buffer and incubated for three hours at room temperature. Followed by 556
washing with a wash buffer for 15 minutes once and then twice with PBS 15 557
minutes each. D API (Thermo Fisher Scientific, R37605), nucleus stain, and 558
ActinGreen (Thermo Fisher Scientific, R37110), actin stain, was incubated in 559
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PBS overnight at 4°C and washed three times with PBS. Finally, 100 ul of PBS 560
was added and imaged using Nikon confocal imaging system. Antibodies used 561
in this paper are listed in Supplementary Table 2. For the beta -galactosidase 562
assay, CellEvent™ Senescence Green Flow Cytometry Assay Kit (Invitrogen, 563
C10840) was used as per manufacturer protocol and confocal images were 564
captured. DRAQ7 (Biolegend, 424001) was used to discriminate between 565
live/dead cells. 566
567
Drug treatment 568
All the drugs with specific concentrations used in our assays are mentioned in 569
Figure S1E and supplementary table 3. 1 ml medium with the respective drug 570
concentrations were added to the overnight spheroids and incubated for 1h, 571
before covering it with the collagen gel. After 1h of gel polymerisation, 2ml of 572
new complete medium with respective concentration of drug was added and 573
incubated for 2 days. Finally, these gels were processed for immunostaining 574
and imaging. 575
576
Real-time PCR assay. 577
For RNA purification, at least 10 gels from aged fibroblasts (with and without 578
load) were used. Single cells were isolated from these gels using collagenase 579
at a concentration of 2 mg/ml (Merk, C0130) and incubated at 37 0C for 30 580
minutes. After centrifugation at 1000 rpm for 4 minutes, the supernatant was 581
removed and pellet was collected to be processed for RNA isolation using 582
RNeasy Plus Micro Kit (QIAGEN, 74034). cDNA was prepared using iScript ™ 583
cDNA Synthesis Kit (BIO-RAD, 1708890). Real-time PCR was done using Sso 584
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advanced SYBER mix (BIO -RAD, 1725274). Relative fold change was 585
calculated with the 2^ -ΔΔCT method using GAPDH as a housekeeping gene 586
for normalization. All primers used in this study are shown in Supplementary 587
Table 1. 588
589
RNA seq analysis 590
RNA library preparation and sequencing was performed at Genomics Facility, 591
ETH Zurich in Basel. Unload group, 1XL group, and 2XL group in triplicates 592
were performed by NovaSeq S4 PE 2x101bp. The PD98059 group in triplicates 593
was performed by NextSeq PE 2x38bp. Standard pipelines such as DEseq 594
were used for RNA seq analysis (51, 52). To summarize, the paired-end reads 595
were aligned to the human genome GRCh38.84 from UCSC. Reference 596
genomic indexes using the HISAT2 sequence -alignment tool (version 2.2.1) 597
was used. The cloud indexes (grch38_trans) for HISAT2, was accessed on 598
June 25th, 2020 from https://registry.opendata.aws/jhu -indexes. Combining 599
reads from four technical replicates for each biological sample served as the 600
input for HISAT2, utilizing default parameters. Subsequently, single aligned 601
reads were enumerated using htseq -count (version 1.99.2). The counts for all 602
expressed genes were then employed for the differential expression analysis 603
and analyzed using DESeq2 (Version 1.36.0). Batch information was 604
incorporated into the DESeq2 design formula. Differentially expressed genes 605
were identified based on adjusted P values (Benjamini –Hochberg) below 0.1 606
false discovery rate (FDR) and fold change above or below 2. Enrichment 607
analysis was performed using ShinyGO (version 0.80). Python script was 608
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utilized for generating heat maps that compare gene expression across 609
different biological conditions, based on DESeq2 normalized counts. 610
In vitro 3D reconstructed skin models under compressive force 611
In this study, we used the Phenion FT AGED skin model as a substitute for 612
aged human skin. This model includes senescent fibroblasts, reduced ECM 613
proteins (such as collagen and elastin), and elevated MMP secretion due to 614
treatment with mitomycin C. We divided the samples into six groups, as shown 615
in Figure S15A. Single-cell injection refers to the collection of cells from 2D cell 616
cultures. Spheroid injection involves collecting cells following the method 617
described above. The elastic modulus of the reconstructed skin model was 618
approximately 7kPa (53), and deformation of up to 12.6% was achieved under 619
compressive force, as indicated in Figure S15B. Cells were injected at three 620
different points, with a concentration of ~70,000 cells per point and an injection 621
volume of 50 µL. The injection sites were located approximately 2 mm from the 622
center, and a wound was made at one site to indicate the direction (Figure 623
S15C). The reconstructed skin models were cultured in a specific Air -Liquid 624
Interface Culture Medium provided by the supplier. 625
626
Cryo-sectioning and immunofluorescence of tissue sections 627
After two days of culture, the tissues were placed in cryomolds and embedded 628
in OCT medium (Leica Biosystem, 14020108926). Samples were cryo -629
sectioned at a thickness of 20 µm at -15 °C using a cryo-microtome and stored 630
at -80 °C until staining. For immunostaining, the tissue sections were fixed in 631
pre-cooled acetone (VWR, 20063.296) for 15 minutes at -20 °C. After air-drying 632
for 5 minutes, a PAP pen (Sigma -Aldrich) was used to encircle the tissue. 633
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Sections were then blocked with 10% goat serum for 1 hour. Subsequently, the 634
samples were incubated with primary antibodies diluted in 1% BSA and 0.3% 635
Triton-X 100 in PBS overnight at 4 °C. After three washes in PBS (5 minutes 636
each), the sections were incubated with secondary antibodies diluted in 1% 637
BSA and 0.3% Triton-X 100 in PBS overnight at 4 °C. Following another three 638
washes in PBS, the samples were stained with Hoechst 33342 in PBS (one 639
drop per 1ml) for 1 hour at room temperature. Finally, the sections were 640
mounted with ProLong Gold Antifade Reagent (Thermo Fisher Scientific), 641
covered with a coverslip, and sealed at the edges with a thin layer of nail polish. 642
The slides were stored at 4 °C until imaging. 643
Image acquisition and analysis 644
All confocal images were obtained using the Nikon confocal ti2 imaging system. 645
Briefly, collagen hydrogel was imaged using a 40X oil immersion objective NA 646
1.25 or 60 X oil immersion objective NA 1.4. All bright-field images in this study 647
were acquired using EVOS M5000 (Thermo Fisher Scientific) and slide scanner 648
(sysmex) for skin tissue. For the analysis of mean intensity and the γH2AX foci 649
number, Fiji image tool was used. For nuclear marker analysis, DAPI channel 650
was used to generate the mask, whereas for cytosolic protein, either the actin 651
or protein channel was used for mask generation. Nuclear and chromatin 652
features analysis was done using the code from previously published paper 653
(54). The importance of each attribute was measured by Relief F/Gini/Gain ratio 654
Methods
via orange software. Internuclear pairwise distance (IPD) analysis was 655
performed using R package dist. Labeled images were processed using the 656
StarDist2D plugin in Fiji. Microtubule meshwork generation and directionality 657
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histograms analysis were conducted by SOAX software and Fiji software with 658
plugin directionality. For skin tissue samples, Fiji software was used to measure 659
the mean fluorescence intensity and to count cell numbers using the StarDist2D 660
plugin. Normalization was calculated as the ratio of the mean intensity of the 661
immunofluorescence-positive injected area to the cell number. 662
Statistical analysis 663
All plots and statistical analysis were performed with Origin 2024. For box-and-664
whisker plots: The box represents the interquartile range (IQR), encompassing 665
the middle 50% of the data. The bottom of the box marks the first quartile (25th 666
percentile), and the top marks the third quartile (75th percentile). The line inside 667
the box indicates the median (50th percentile). The whiskers extend to the 668
smallest and largest values within 1.5 times the IQR, while outliers are 669
represented by asterisks. Unpaired, two -tailed student -t test was used to 670
compare two groups. One-way ANOVA (Tukey test) was employed to compare 671
groups comprising more than two. 672
Data and materials availability: 673
All codes used in this paper are available from the corresponding author upon 674
request. All illustration graphs shown in this study were created by 675
Biorender.com. All data are available in the main text or the supplementary 676
materials. 677
Acknowledgments 678
We thank GVS group members for their comments on the manuscript and in 679
particular Drs. Nicholas Lawler and Yagyik Goswami for critical reading of the 680
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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
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manuscript. This work was supported by the Swiss National Science 681
Foundation grant 310030_208046; China Scholarship Council (Grant Number: 682
202008440471). 683
684
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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
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.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
Figure 1. Establishment of 3D collagen hydrogel in -vitro model upon 828
compressive forces and characterization activation, rejuvenation and memory 829
properties of the regenerated phenotypes. (A) Schematic of 3D in-vitro collagen 830
model (single cell embedding and spheroid embedding) and illustration of the 831
cell culture process. (B) Representative ɑSMA immunofluorescence confocal 832
images and quantification data per image of mean intensity in single cell model 833
and spheroid. Nucleus is labeled in blue. (Scale bar, 100 μm). (C) 834
Representative pMLC immunofluorescence confocal images and quantification 835
data per image of mean intensity. Nucleus is labeled in blue. (Scale bar, 100 836
μm). (D) Representative Beta -galactosidase staining confocal images and 837
quantification data per image of mean intensity. (Scale bar, 100 μm). (E) 3D 838
nucleus construction and representative ɑSMA immunofluorescence confocal 839
images under load and load removal condition. (Scale bar, 100 μm). (Unit in 840
green box is μm). (F) Quantification data of ɑSMA mean intensity per image, 841
nucleus volume, Z project area of nucleus and roundness of nucleus. All the 842
experiments were repeated at least three times independently with similar 843
results. P values in Figure (B -D) were calculated by unpaired, two -tailed 844
Student’s t test. P values in Figure (F) were calculated by the one-way ANOVA 845
Method
with Tukey’s post hoc test. *P<0.05; **<0.01; ***P<0.001; No asterisks 846
means not significant. Source data are provided as a Source Data file. 847
848
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
849
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
Figure 2. Mechanical force stabilizes microtubule and fa cilitates chromatin 850
remodeling. (A) Representative α -tubulin, Lamin A/C and Lamin B 851
immunofluorescence confocal images and quantification data per cell of mean 852
intensity. Nucleus is labeled in blue. (Scale bar, 50 or 100 μm). (B) 853
Representative H3K9me3, H3K4me3 and HP1a immunofluorescence confocal 854
images and quantification data per nucleus of mean intensity. (Scale bar, 855
100μm). (C) Representative gray images from DAPI in unload condition and 856
load condition. (Scale bar, 50 m). (D) Heatmap of chromatin and nucleus 857
morphology analysis. All the experiments were repeated at least three times 858
independently with similar results. P values in Figure (A and B) were calculated 859
by unpaired, two -tailed Student’s t test. *P<0.05; **<0.01; ***P<0.001; No 860
asterisks means not significant. Source data are provided as a Source Data file. 861
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.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
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.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
Figure 3. Mechanical load enhances cell migration via nucleus -cytoskeleton 871
axis. (A) Windrose plots displaying the distance of the migrated cell nucleus to 872
the center of one spheroid. (B) Schematic illustration of inhibitor targets. (C) 873
Table for inhibitors' description. (D) Representative immunofluorescence 874
confocal images to check spheroid spreading. Nucleus is labeled in blue. F -875
actin is labeled in green. (Scale bar, 300 mm). (E) Quantification data of the 876
spread area of the spheroid. All the experiments were repeated at least three 877
times independently with similar results. P values in Figure (E) were calculated 878
by unpaired, two -tailed Student’s t test. Other groups are compared to the 879
2xload group. *P<0.05; **<0.01; ***P<0.001; No asterisks means not 880
significant. Source data is provided as a Source Data file. 881
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.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
894
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
Figure 4. ERK role in chromatin remodeling, DNA damage response and gene 895
expression regulation. (A) Representative ERK phosphorylation 896
immunofluorescence confocal images and quantification data of mean intensity 897
per cell (some images shown in Figure S8). Nucleus is labeled in blue. α-tubulin 898
is labeled in red. pERK is labeled in magenta (Scale bar, 50 μm). (B) 899
Representative H3K9me3, H3K4me3 and Lamin B immunofluorescence 900
confocal images and quantification data of mean intensity per nucleus. Nucleus 901
is labeled in blue. (Scale bar, 100 μm). (D) Representative γH2AX 902
immunofluorescence confocal images and quantification data of foci number 903
per nucleus. (Scale bar, 100 μm). (E) Representative ɑSMA 904
immunofluorescence confocal images and quantification data of mean intensity 905
per image. Nucleus is labeled in blue. (Scale bar, 100μm). All the experiments 906
were repeated at least three times independently with similar results. P values 907
in Figure (B, D, E) were calculated by the one-way ANOVA method with Tukey’s 908
post hoc test. P values in Figure (C) were calculated by unpaired, two -tailed 909
Student’s t test. *P<0.05; **<0.01; ***P<0.001; No asterisks means not 910
significant. Source data is provided as a Source Data file. "2xL" is an 911
abbreviated notation for "2x load." 912
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
913
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
Figure 5. RNAseq analysis. (A) Volcano plot of significant genes in 2xload 914
group compared to unload condition and GO Biological process analysis. (fold 915
change > 2, adjusted p value < 0.1). 278 genes upregulated in 2xload compared 916
to unload. (B) Volcano plot of significant genes in 2xload group compared to 917
PD condition and GO Biological process analysis. PD condition means 918
PD98059 inhibitors plus load condition. (fold change >1, adjusted p value 919
< 0.1). 612 genes upregulated in 2xload compared to PD. (C) KEGG pathway 920
analysis in above two DEG lists (278 DEG list and 612 DEG list). (D) The 921
heatmaps show gene expression level in different groups such as ERK-related 922
genes, microtubule-related genes, migration-related genes, DNA repair-related 923
genes and rejuvenation-related genes. 924
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preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted November 5, 2024. ; https://doi.org/10.1101/2024.11.04.621794doi: bioRxiv preprint
B 939
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Figure 6. Implanted reprogrammed single cell and spheroids show activation 941
properties under compressive force in an FT AGED skin model . (A) 942
Representative images (20× magnification, Nikon) of collagen I. (Scale bar, 943
100μm). Normalized intensity plots of collagen I at the cell -implanted regions 944
from at least 3 replicates. S+L group: inject single cell under compressive force; 945
O+L group: inject spheroids under compressive force. (B) Illustration of the 946
mechanism of compressive force in cellular rejuvenation. Figure created with 947
BioRender.com. MT: microtubule. 948
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
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