Thermally activated irreversible homogenization of G-quadruplexes in an ALS/FTD-associated gene

preprint OA: closed
📄 Open PDF Full text JSON View at publisher
Full text 59,827 characters · extracted from preprint-html · click to expand
Thermally activated irreversible homogenization of G-quadruplexes in an ALS/FTD-associated gene | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results Thermally activated irreversible homogenization of G-quadruplexes in an ALS/FTD-associated gene View ORCID Profile Daniel Ross , View ORCID Profile Olivia Lewis , View ORCID Profile Olivia McLean , View ORCID Profile Sundeep Bhanot , View ORCID Profile Shane Donahue , View ORCID Profile Rachael Baker , View ORCID Profile Randi Dias , View ORCID Profile David Eagerton , View ORCID Profile Vaibhav Mohanty , View ORCID Profile Bidyut K. Mohanty doi: https://doi.org/10.1101/2025.06.02.657482 Daniel Ross 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Daniel Ross For correspondence: dross{at}vcom.edu mohanty{at}hms.harvard.edu bmohanty{at}vcom.edu Olivia Lewis 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Olivia Lewis Olivia McLean 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Olivia McLean Sundeep Bhanot 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Sundeep Bhanot Shane Donahue 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Shane Donahue Rachael Baker 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Rachael Baker Randi Dias 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Randi Dias David Eagerton 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for David Eagerton Vaibhav Mohanty 2 Department of Chemistry and Chemical Biology, Harvard University , Cambridge, MA 02138 3 Harvard/MIT MD-PhD Program, Harvard Medical School , Boston, MA 02115 and Massachusetts Institute of Technology , Cambridge, MA 02139 4 Program in Health Sciences and Technology, Harvard Medical School , Boston, MA 02115 and Massachusetts Institute of Technology , Cambridge, MA 02139 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Vaibhav Mohanty For correspondence: dross{at}vcom.edu mohanty{at}hms.harvard.edu bmohanty{at}vcom.edu Bidyut K. Mohanty 1 Edward Via College of Osteopathic Medicine–Carolinas Campus , Spartanburg, SC 29303 Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Bidyut K. Mohanty For correspondence: dross{at}vcom.edu mohanty{at}hms.harvard.edu bmohanty{at}vcom.edu Abstract Full Text Info/History Metrics Preview PDF ABSTRACT A significant proportion of familial amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) cases exhibit a substantial copy number expansion of the hexanucleotide GGGGCC/GGCCCC sequence in the C9ORF72 gene. The GGGGCC sequence forms a non-canonical DNA structure called a G-quadruplex (G4) which has been associated with the disease states and with nucleic acid condensate formation. G4s can fold into various topologies, which can differentially impact fidelity of DNA synthesis. However, how G4 conformational heterogeneity and its regulation impact hexanucleotide repeat expansion is unclear, and important clues may lie in the thermodynamic properties of different G4 topologies. Here, we use temperature-swept CD spectroscopy to observe configurational homogenization of an initially heterogeneous population of G4s over a small range of temperatures, demonstrating thermally activated behavior. We further show that this reaction is irreversible, since subsequent temperature sweeps do not show CD shifts from non-parallel to parallel G4 topologies. Finally, we provide an analytical theory based on a two-state thermodynamic model which is compatible with experimental evidence, and we discuss alternate mechanisms for the homogenization transition. These findings suggest that kinetic regulation of non-canonical DNA structures may play a role in cellular homeostasis or disease pathogenesis. SIGNIFICANCE The GGGGCC repeats in the C9ORF72 gene expand in copy number in certain neurodegenerative diseases, forming non-canonical DNA structures called G-quadruplexes (G4) which are associated with the pathological state. However, why the repeat expansion occurs is not known, and a key may lie in the thermodynamic stability of certain G4 conformations. Here, we use CD spectroscopy to experimentally report thermally activated heat-induced G4 conformation homogenization, from a heterogeneous population to the parallel configuration. We derive an analytical biophysical theory which is compatible with this experimental observation, which is shown to be irreversible. Our in vitro tuning of the free energy landscape that modulates G4 conformational fidelity motivates a search for possible in vivo enzymatic regulators. 1 INTRODUCTION Amyotrophic lateral sclerosis (ALS, Lou Gehrig’s disease) and frontotemporal dementia (FTD) are devastating and generally fatal neuromotor diseases that, respectively, cause muscle weakness and brain atrophy, substantially increasing morbidity and mortality of affected individuals ( 1 – 5 ). Some of the shared symptoms of ALS and FTD are changes in behavior, personality, and language, and persons with a spectrum of behavioral disturbances common to ALS and FTD form a clinical subtype known as ALS-FTD ( 5 , 6 ). Presently, there are few treatments for these disorders, which at best may delay some of the disease symptoms ( 3 , 6 , 7 ). ALS, FTD, and ALS-FTD can be sporadic or familial. Various genetic mutations have been identified in patients with familial ALS, FTD, or ALS-FTD, many of which involve mutations in the C9ORF72 gene ( 2 , 6 – 9 ). Intron 1 of C9ORF72 typically contains 2-22 copies of the hexanucleotide repeat GGGGCC/GGCCCC which can expand to 700-1600 copies in pathological settings ( 5 , 8 , 9 ). Transcription and down-stream translation of these hexanucleotide repeat expansions (HREs) are key contributors to the pathogenesis of C9ORF72 -associated ALS/FTD ( 10 – 12 ). Although current research on development of ALS/FTD therapeutics often focuses on RNA and translated protein toxicity, the origin of the HRE and ALS/FTD lies solely in DNA and therefore targeting the mechanism of HRE is of equal importance ( 3 ). Although the C9ORF72 gene was discovered in 2011 ( 9 ), the core mechanism of its HRE still remains unexplained. An important clue to HRE may reside in the structural organization of hexanucleotide repeats as the GGGGCC sequence forms the non-canonical DNA structure called a G-quadruplex (G4) ( 13 – 17 ), and its complimentary sequence, GGCCCC, forms an intercalating motif (i-motif) ( 18 , 19 ). G4s can fold into different topologies, and it has been shown recently that these topologies can differentially impact fidelity of DNA synthesis ( 20 ). Investigating the relationship between HREs and G4 topologies first motivates experimental mechanisms for modulating G4 configurational composition. We have recently shown that various environmental factors including pH and temperature regulate G4 formation in this ALS/FTD-associated HRE, as well as other G4-forming sequences including those found in BCL2, c-MYC, EGFR, HIF1-α, hRAS , and VEGF ( 21 ). Of these sequences, we found that only the GGGGCC hexanucleotide repeat’s CD spectrum undergoes major changes in the locations of its dominant peak(s) due to a heating cycle, suggesting that temperature regulates G4 configurational composition. These findings have motivated deeper investigation of the temperature-dependent changes to the G4 spectra in the ALS/FTD-associated HRE, which we perform here. Recent work on other G4-forming sequences has indicated that the antiparallel configuration can be an intermediate in the process of folding to the more stable parallel G4 form, either existing transiently ( 22 – 24 ) or acting as a rapidly formed metastable state which slowly converts to a parallel G4 ( 25 ) over the course of minutes. We find the ALS/FTD-associated GGGGCC HRE, on the other hand, to be stable at room temperature indefinitely unless heated. Current computational and experimental evidence suggests that antiparallel G4s are generally separated from parallel G4s by a transition state barrier which leads to slow kinetics ( 25 ). We experimentally manipulate the G4 free energy landscape through heating; signatures of metastability and kinetic trapping phenomena would include configurational changes in G4 due to heating which are irreversible. In the present work, we combine theoretical and experimental approaches to probe the thermally activated transition of G4 configurations. We perform temperature-swept CD spectroscopy to obtain “3D CD” spectra ( 26 , 27 ) showing how CD changes as a function of both wavelength and temperature. From these spectra, we observe the transition from a configurationally heterogeneous population of G4s into a homogeneous population of parallel G4s, followed by melting of the parallel G4s at even higher temperatures. We then perform sequential temperature sweeps with a cooling period in between to demonstrate the irreversibility of the transition. We finally introduce a simple analytical theory using a two-state model for G4 configuration prevalence motivated by the computational findings of ref. ( 25 ) which is compatible with the spectra obtained from our experiments. We then discuss alternative mechanisms which could result in similar experimental findings. Our work opens the door to understanding how the relative fractions of different DNA G4 configurations may be stabilized or regulated; since G4s are known to facilitate intracellular RNA condensate formation in pathological disease states, these results carry implications for coupling between G4 configuration switches and disease-associated liquid-liquid phase separation of DNA ( 12 , 28 – 30 ). 2. MATERIALS AND METHODS DNA oligonucleotides DNA oligonucleotides used in these studies were obtained commercially from Millipore (Burlington, MA) and Eurofins. All oligonucleotides were purified by high-performance liquid chromatography, shipped dry, and reconstituted with TE (10 mM Tris and 1 mM EDTA) or nuclease free water (Invitrogen) to 100 pmol/ μ L final concentration. Buffers The buffers used in these studies are 10 mM sodium cacodylate (NaCac) and 100 mM KCl at pH 7.4. CD measurements All CD measurements were carried out with a Jasco J-1500 CD spectrophotometer with a singleposition Peltier-thermo cell holder. Samples were measured in 1 mm path length Starna cuvettes. For the 3D CD experiments, temperature sweeps were set to start at 20 °C and end at 100 °C, with a temperature gradient of 1 °C/min and a wait time of 30 seconds between measurements, which occurred at intervals of 2 °C. An additional experiment was conducted with a wait time of 300 seconds between measurements. The temperature gradient was paused during measurement. The starting condition was set to maintain the initial temperature within ± 0.1 °C for 10 seconds. Extended range temperature sweeps were conducted in polyethylene glycol (PEG) from 20 °C to 100 °C. For the irreversibility experiments, the first sweep was conducted either from 20 °C to 80 °C or from 20 °C to 100 °C, while the second sweep was always conducted from 20 °C to 100 °C. If a third sweep was conducted, it was also conducted from 20 °C to 100 °C. 3 RESULTS 3.1 Experimental temperature-swept CD spectra reveal thermally activated G4 homogenization, followed by melting Before introducing experimental results, we first discuss the standard spectroscopic signatures of various G4 conformations. In Figure 1 , we schematically depict the different categories of G4 conformations. In parallel G4s (PG4s), all four DNA strands are oriented in the same direction ( Figure 1A ). In antiparallel G4s, the four DNA strands are in alternating orientation, and in hybrid G4s, three out of four strands are oriented in one direction while one is oriented in the opposite direction. Parallel, antiparallel, and hybrid G4s have distinct CD peaks. Parallel G4s have a negative peak at 240 nm and a larger positive peak around 260 nm, antiparallel G4s have a negative peak at 260 nm and a positive peak at 295 nm, and hybrid G4s show positive peaks at both 260 nm and 295 nm and a negative peak around 240 nm ( 31 ). It is experimentally difficult to distinguish the CD spectrum of hybrid G4s from a mixed population of antiparallel and parallel G4s, so throughout this work we informally group together hybrid G4s and antiparallel G4s together as “non-parallel” G4s (NPG4s) ( Figure 1B ). Download figure Open in new tab Figure 1. Schematic representation of G4 structures. ( A ) Parallel G4s (PG4s) have all 4 DNA strands parallel to each other. ( B ) Antiparallel G4s have their DNA strands alternating orientations, and hybrid G4s have three DNA strands parallel to one another and a fourth one antiparallel to the first three. We group antiparallel and hybrid into a category called “non-parallel” G4s (NPG4s). To probe the configurational composition of G4 populations experimentally, we conducted temperature-swept CD spectroscopy of DNA oligonucleotides containing the GGGGCC hexanucleotide repeat. This involved taking CD spectra of the same DNA sample as the temperature was incrementally increased from 20 °C to 100 °C in increments of 2 °C, with 30 second wait periods before CD measurement. An extended range temperature sweep experiment was also conducted in the presence of PEG from 20 °C to 110 °C. The resulting data were 3D CD spectra which visualize circular dichroism as a surface plot against both wavelength and temperature. The same data is also visualized as a set of superimposed typical 2D spectra with a color gradient to indicate the temperature. Experimental 3D CD spectra as well as superimposed standard 2D CD spectra with color-coded temperatures of hexanucleotide repeats with various copy numbers are plotted in Figure 2 . For 4 repeats, 14 repeats, and 20 repeats (as well as for 16 repeats in PEG), we observe that the initial samples at 20 °C show peaks that match hybrid or a mixed population of antiparallel, hybrid, and parallel G4s—an indication that we likely have a configurationally heterogeneous population of G4s ( Figure 2A-D ) at room temperature, which agrees with findings in the literature which were based on NMR spectra ( 32 ). These initial spectra are stable for long times at room temperature; we found that for a 17-repeat oligomer, the CD spectrum remained essentially exactly the same every day for five days ( Figure S1 ). Download figure Open in new tab Figure 2. Temperature-swept CD spectra reveal thermally activated homogenization to PG4s followed by melting of PG4s at subsequently higher temperatures. ( A , B , C ) Temperature-swept CD spectra swept from 20 °C (blue) to 100 °C (red) for 4, 14, and 20 repeats, respectively. ( D ) Extended range temperature-swept CD spectrum swept from 20 °C (blue) to 110 °C (red) for 16 repeats, in PEG. ( E , F , G , H ) Same data as (A,B,C,D), but plotted as 3D CD spectra showing temperature-swept circular dichroism, revealing decreasing peaks around 290 nm and increasing peaks around 260 nm until some temperature T peak , above which the 260 nm peak decays. The final CD spectra, at the maximum temperature of 100 °C (or 110 °C for the extended temperature experiment), all match the spectroscopic signature of parallel G4s, suggesting homogenization at some intermediate temperature ( Figure 2A-D ). Both the 2D and 3D CD spectra showing the continuous dependence on both wavelength and temperature indicate, that regardless of copy number, the 290 nm peak is stable from the starting temperature 20 °C up to roughly 70 °C, after which the 260 nm peak rapidly rises to prominence at higher temperatures ( Figure 2A-H ). The profile of the experimental 3D CD spectra is highly indicative that a configurational homogenization from NPG4s (or, more likely, a mixed starting population of NPG4s and PG4s) occurs over a small window of temperatures. A theoretical mechanism for this change is proposed in section section 3.3 . We performed the same temperature-swept CD spectroscopy for additional copy number variants, from 2 repeats to 20 repeats, and received similar results ( Figure S2 , S3 , S4 , and S5 ; replicates and experiments with various repeat numbers summarized in Table S1 ). Moreover, to confirm that CD spectroscopic changes associated with the transition is not limited to oligonucleotides from one commercial source, we tested the effect of temperature increase on CD with oligonucleotides from another commercial source and obtained the same results. Each of the temperature-swept CD spectra in Figure 2 display a characteristic increase of the ~ 260 nm peak until some temperature T peak after which the ~ 260 nm peak begins to decay. This decay is especially apparent in the extended temperature sweep for 16 repeats ( Figure 2D,H ). The CD spectrum at T peak possesses the characteristics of a typical parallel G4 spectrum, with a positive peak around 260 nm, a negative peak around 240 nm, and a smooth decay from the 260 nm peak toward zero for higher wavelengths ( Figure 2A-D ). For the extended temperature range sweep, we now examine the correlations between the spectrum at T peak and the spectrum at other temperatures in order to better understand the conformational composition of the G4 population. At temperatures T ranging from 20 °C to T peak = 84 °C, there is initially a notable non-linearity in the plot between the CD spectrum at T versus the CD spectrum at T peak which disappear as T approaches T peak ( Figure 3A ). A straight line would indicate that the spectra take on the same shape but may have differing magnitude. Near room temperature, the CD spectrum at T , however, has deviations from a straight line which is indicative of differing configurational composition. Since NPG4s have different characteristic positive and negative peaks from PG4s, we can interpret the gradual progression of the non-linear spectrum-spectrum correlation into a linear one as reflecting a configurational change—particularly, one in which a heterogeneous G4 population ultimately becomes all PG4s, since the spectrum at T peak = 84 °C possesses the characteristic peaks of a PG4 spectrum. Download figure Open in new tab Figure 3. Spectrum-spectrum correlations reveal G4 compositions in different temperature regimes. ( A ) Plot of CD spectra at temperatures T ranging from 20 °C to T peak = 84 °C versus CD spectrum at T peak = 84 °C, showing configurational change. ( B ) Plot of CD spectra at temperatures T ranging from T peak = 84 °C to 110 °C versus CD spectrum at T peak = 84 °C, showing magnitude decay without spectral characteristic change, indicating melting. ( C ) Pearson correlation and cosine similarity between CD spectrum at temperature T and CD spectrum at temperature T peak . ( D ) T peak versus repeat length across multiple replicates and experimental conditions, summarized in Table S1 . On the other hand, for T ≥ T peak = 84 °C (until the maximum temperature of 110 °C) we observe that the spectrumspectrum plots remain linear, but with decreasing slope ( Figure 3B ). This means that for temperatures T above T peak , the same CD spectrum shape —corresponding to PG4s—is maintained, but the magnitude decreases with increasing temperature. Since unfolded G4s have nearly flat spectra ( 33 ), this maintenance of spectral shape with decaying magnitude is indicative of PG4 melting as temperature is increased beyond T peak = 84 °C. Estimates of melting temperature for GGGGCC oligomers in the literature are reported as “ T m > 84 °C, or even higher” ( 34 ) and “90 °C and 75 °C, respectively” for 4 and 5 hexanucleotide repeats ( 32 ), with ref. ( 14 ) noting incomplete “dissociation of the G-quadruplex even at 95 °C.” Interpreting Figure 3B as an indication that PG4s begin melting above 84 °C is thus consistent with reported melting temperatures in the literature. The spectrum-spectrum correlation plots thus indicate two temperature regimes in which G4 composition changes: below T peak , a heterogeneous G4 population homogenizes into the parallel configuration. Then, above T peak , this homo-geneous population of PG4 melts as temperature is further increased. To quantify spectrum-spectrum correlations, we plot the Pearson correlation and cosine similarity between the CD spectrum at T peak and the CD spectrum at the sweep temperature T . We see that Pearson correlation and cosine similarity increase nearly monotonically over the temperature range from 20 °C to T peak = 84 °C. Above T peak , the cosine similarity decays to 0.908 at 110 °C—similar to its value of 0.916 at 66 °C—while the Pearson correlation hardly decays at all, retaining a value of 0.983 at 110 °C. This indicates that the CD spectra between T peak and 110 °C are highly linearly correlated, consistent with out qualitative observations from Figure 3B , while this correlation is much weaker near room temperature, as observed in Figure 3A . Thus, our evidence supports the notion that G4 homogenization into PG4s occurs over the temperature sweep from room temperature to T peak (which for 16-repeats in the presence of PEG is around 84 °C), and above this temperature the homogeneous PG4s unfold. We then compute T peak for many experimental trials with varying GGGGCC repeat lengths, ranging from 2 to 20, with multiple replicates for some oligomers. Our results, which include trials which include PEG or use extended wait times in the temperature gradient, are summarized in Table S1 and are plotted in Figure 3D . The plot shows no statistically significant linear relationship ( p -value = 0.223) between T peak and repeat length. Since we cannot reject the null hypothesis that T peak and repeat length are uncorrelated, we calculate the mean of T peak across repeat lengths as a summary statistic, finding that the average T peak is 84.935 °C. Lastly, we conducted the temperature sweep experiment for 4-repeat and 16-repeat oligomers, but with extended wait times at every point in the temperature gradient. Instead of incrementing the temperature by 2 °C with a wait time of 30 seconds between each increment, we waited 300 seconds between each increment. For 4-repeat and 16-repeat oligomers, the resulting CD spectra appear similar in both 2D and 3D representations ( Figure S5 ), regardless of the wait time. The 4-repeat oligomers at room temperature in these wait time validation experiments have a different initial fraction of NPG4s and PG4s compared to the initial 4-repeat experiments presented in main text Figure 3A,E , possibly due to differences in company synthesis of oligomers or of sample preparation in the laboratory. 3.2 Irreversibility of G4 homogenization We then explored if the apparent temperature-dependent homogenization to PG4s was reversible. A key signature of irreversibility would be if the homogeneous PG4 population were to remain homogeneous even if the system is cooled back to room temperature after the initial temperature sweep. A second or third temperature sweep would then lead to little change in the configurational composition, which means the CD spectrum would not change after the first sweep. To investigate irreversibility experimentally, we sequentially performed a temperature sweep followed by a cooling period back to near room temperature followed by a second temperature sweep. For oligonucleotide samples with various copy numbers, we measured CD at a fixed wavelength corresponding to the principle positive peak for PG4s during each of the two temperature sweeps. In Figure 4A , we show across three triplicates that for 6 hexanucleotide repeats that circular dichroism at 265 nm (corresponding to the PG4 parallel peak) generally increases with temperature during the sweep from 20 °C up to around T peak ≈ 80 °C, consistent with previous section’s experimental results indicating a predominant presence of PG4s and a decline in NPG4s. Above T peak , the magnitude of the peak begins to decline until our maximum temperature of 100 °C. After reaching the maximum temperature, we allow the sample to cool back to room temperature. A second sweep then shows that the CD at room temperature has not returned to its original magnitude, but rather is closer in magnitude to the value reached at T peak . It generally stays flat until 60-70 °C, where the CD magnitude begins to increase again, peaking once again around the same T peak ≈ 80 °C and subsequently declining. Across the three replicates, we noticed that the second sweep’s peak tended to be higher than the first sweep’s peak. The results in Figure 4A demonstrate clear sign of irreversibility of the homogenization transition between 20 °C and T peak ≈ 80 °C, but the decline in the peak from T peak ≈ 80 °C to 100 °C appears reversible, consistent with our analysis in the previous section. Download figure Open in new tab Figure 4. Thermally activated G4 homogenization is irreversible. ( A ) For 6 hexanucleotide repeats, the first temperature sweep (blue) shows a CD increase at around 265 nm as temperature increases from 20 °C up to 80 °C, indicative of a transition to PG4s, followed by a CD decrease above 80 °C due to melting. After cooling back to 20 °C, the second temperature sweep (red) shows stability of the CD peak from 20 °C up to roughly 80 °C, after which CD decreases, either due to G4 melting (or possibly NPG4 formation). Experiments conducted in triplicate. ( B ) For 16 hexanucleotide repeats, 3D CD spectra were measured over three temperature sweeps, first from 20 °C up to 80 °C, then subsequently from 20 °C up to 110 °C during the second and third sweeps. Irreversibility is clearly indicated by differences between the first and second sweeps, while the third sweep matches the second. We then expanded beyond a single wavelength and conducted full 3D CD temperature sweeps (with accompanying 2D color-coded CD spectra), with an initial sweep from 20 °C to 80 °C followed by two additional sweeps from 20 °C to 110 °C ( Figure 4B ). We observed the characteristic disappearance of the antiparallel G4-associated positive peak at 290 nm during the first sweep with a simultaneous increase in the peak around 260 nm until reaching a peak value around 80 °C. The second and third sweeps then have qualitatively similar 3D CD spectra, with the entire spectrum remaining nearly constant across the entire temperature range from 20 °C up to around T peak ≈ 80 °C, after which the spectrum decays in magnitude without changing morphological features, as observed in the previous section. Additional double-sweep irreversibility experiments conducted at fixed wavelength for 4, 14, and 20 repeats showcase similar results ( Figure S6A-C ). The irreversible nature of the thermally activated homogenization of G4 conformations suggests that metastability may play a role. 3.3 Compatible theoretical models of thermally activated G4 homogenization In light of experimental data, we now develop a simple, minimal two-state analytical theory for the configurational state of G4s which is compatible with the presented experimental data. We subsequently discuss alternative mechanisms which may yield similar results. Mathematically, we will explicitly develop a theory which predicts a thermally activated metastable-to-stable transition, yielding a homogeneous population of parallel G4s due to heating. The theory yields simulated CD spectra which align with the experimentally observed CD spectra. To summarize the two-state theory, we begin with a heuristic explanation. We expect that a heterogeneous population of NPG4s and PG4s are metastable for long times because of thermodynamic stability relative to the unfolded state, but they are separated by a tall transition state barrier which leads to very slow kinetics ( Figure 5A ). Since the transition state has higher entropy than the G4 states, increasing the temperature lowers the relative height of the free energy barrier to transition from NPG4s to PG4s, making the metastable-to-stable transition suddenly possible even at short timescales, sending the population to primarily the PG4 state ( Figure 5B ). Cooling the system then traps the population homogeneously in the thermodynamically stable PG4 state ( Figure 5C ). Further heating would keep the population predominantly in the PG4 state due to its thermodynamic stability relative to NPG4. Download figure Open in new tab Figure 5. Compatible theoretical mechanism and simulated 2D and 3D CD spectra showcasing a thermally activated homogenization mechanism. ( A ) Initial heterogeneous population of G4s remain heterogeneous over long timescales due to transition state barrier separating NPG4s and PG4s. ( B ) A thermally activated metastable-to-stable transition: heating lowers the free energy barrier relative to the G4-forming states just enough to allow rapid transitions from the metastable NPG4 state to the stable PG4 state without unfolding G4s entirely. ( C ) Cooling the system once again imposes a transition state barrier for the reverse reaction for the now-homogeneous PG4 population. ( D ) Theoretical fraction of PG4s and NPG4s as a function of temperature indicates thermally activated behavior from a starting PG4 fraction p (0; T ) and NPG4 fraction 1 − p (0; T ) to a (nearly) homogeneous population of PG4s at higher temperatures. The homogenization temperature T * , numerically computed as the inflection point, is plotted (black, dotted). Two starting fractions, p (0; T ) = 0.2 (blue) and p (0; T ) = 0.7 (red) are plotted, and T * was the same for both. ( E ) Experimentally determined PG4 basis CD spectrum ϵ P ( λ ) (red) and approximated antiparallel basis CD spectrum ϵ A ( λ ) (blue), used to construct theoretical 3D CD spectrum. ( F , G , H ) Theoretical temperature-dependent 2D CD spectra computed from eq. (9) by using eq. (7) and basis spectra from (E), plotted on an arbitrary temperature axis, reveals a CD positive peak shift from near 290 nm to near 265 nm, which is an indicator of NPG4s converting to PG4s. ( I , J , K ) Same as (F,G,H) but shown as 3D CD spectra. To make the theory concrete, we first define some notation. We let P represent the PG4 state and let N represent the NPG4 state. These form the two discrete states in our thermodynamic model. We will use the double dagger ‡ superscript corresponds to the unfolded state, which we treat as an unstable transition state between the PG4 and NPG4 states. Concretely, we define the Gibbs free energies, enthalpies, and entropies, working within the approximation that the formed G4s to have roughly equal enthalpy H 0 and approximating the transition state to have enthalpy H ‡ : Here, G values are Gibbs free energies, T is the temperature, S N is the NPG4 entropy, S P is the PG4 entropy, is the entropy difference between the transition state and the NPG4 state, and Δ H ‡ = H ‡ H 0 . We take the parallel configuration entropy to be greater than the antiparallel entropy, which makes PG4 thermodynamically more stable than NPG4, consistent with ref. ( 25 ). The system can undergo a chemical reaction: where the scaled reaction rates are Arrhenius-type: and where we have assumed a temperature-proportional Arrhenius constant, as in transition state theory ( 35 ), and have divided by the temperature-independent prefactors, writing R as the ideal gas constant. We let p ( t ; T ) be the fraction of PG4s at time t and fixed temperature T , so 1 − p ( t ; T ) is the fraction of NPG4s. We can write the rate equation For mathematical convenience, we define a rescaled time τ = A 0 t which now defines the timescale based on the empirical transition attempt frequency. The solution to the above differential equation is which can be expressed in terms of , and τ . For some initial fraction p (0; T ) of PG4s, eq. (6) gives the fraction p ( τ ; T ) of PG4s after some fixed scaled time τ . In our experiments, temperature is increased periodically, with some fixed wait time between measurements. We assume the the initial PG4 fraction at some new temperature T i +1 in a sequence of temperatures indexed by i to be given by the final PG4 fraction at the previous temperature T i . As a result, we can write p (0; T i + 1 ) = p ( τ ; T i ). Now, writing p i ≡ p ( τ ; T i ), K i ≡ k N P ( T i ) k PN ( T i ), r i ≡ k PN ( T i ) / K i , and , the PG4 fraction at the end of step i is concisely For an algebraic sequence of measurement temperatures T i = T 0 + i Δ T (as in our experiments), the parallel fraction after n steps can now be written in terms of the initial conditions We can then numerically construct a plot of p ( τ, T i ) as a function of temperatures T i . In Figure 5D , we observe that there is a homogenization temperature T * at which the PG4 and NPG4 fractions experience an inflection point. The theory predicts that around this inflection point, the G4 population converts from a heterogeneous population of NPG4s and PG4s to a (nearly) homogeneous population of PG4s. Until this temperature is reached, the fraction of each G4 topology is stable due to kinetic trapping since NPG4s are taken to be a metastable state. The reaction rapidly proceeds after reaching a certain temperature. This is evidence of a thermally activated transition of the metastable NPG4s to the stable PG4s. This is not a true thermodynamic phase transition because the ground state configuration does not change; but rather, the theory predicts a kinetic phenomenon where a long-lived metastable state transitions to a stable one when the relative height of the transition state barrier is reduced via heating. By switching the definitions of G N and G P in eq. (1) , we can see that if PG4s were metastable while NPG4s were globally stable, an increase in temperature would lead to homogenization to NPG4s. This does not agree with experiment and thus suggests that PG4s are more stable than NPG4s for the GGGGCC sequence in the context of our model. We now build simulated spectra using our derived eq. (8) . As we discussed in Section 3.1 , hybrid and antiparallel spectra share certain spectroscopic signatures. We posit that, as a result, the hybrid conformation may be difficult to distinguish from a mixture of antiparallel, hybrid, and parallel G4s, so for simplicity we take the parallel and antiparallel structures to be the fundamental “basis spectra” for our theoretical analysis. CD spectra matching the features of parallel and antiparallel G4s are plotted in Figure 5E . The parallel G4 spectrum, obtained from Figure 2C at 100 °C, closely matches published spectra ( 31 , 36 ). Since pure antiparallel CD spectra are not available, the antiparallel spectrum is approximated by subtracting off the parallel contribution to an otherwise mixed or hybrid-appearing spectrum at 20 °C. This is accomplished by assuming that at 20 °C there is some fraction p est = 0.5 of PG4s and some fraction 1 − p est = 0.5 of antiparallel G4s; this choice is arbitrary and is acknolwedged as a limitation of the theory, in addition to the assumption that the spectrum is a linear combination of only two species’ basis spectra. The basis parallel and antiparallel spectra ( Figure 5E ), ϵ P ( λ ) and ϵ A ( λ ), are functions of wavelength λ and are used to obtain simulated 3D CD spectra by combining the calculations from the thermodynamic-kinetic theory eq. (8) . Treating the 3D CD spectrum ( 26 , 27 ) as a linear combination of the basis spectra weighted by the PG4 and NPG4 fractions from eq. (6) , we have an expression for the theoretical 3D CD spectrum which is plotted as 2D and 3D spectra for various initial PG4 fractions p (0; T 0 ) in Figure 5F-K . The simulated spectra obtained show remarkable qualitative agreement with the experimental 3D and 2D spectra in Figure 2 . Changing p ( 0; T 0 ) simply modulates the shape of the initial spectrum at the starting temperature T 0 , allowing us to explore heterogeneous initial conditions as we see throughout our experimental datasets ( Figure 2 , Figure S2 , S3 , S4 , and S5 ). Changing p est affects the 3D CD spectrum by performing an affine shift of the curve p ( τ ; T i ) (Supplementary Note A). Alternative mechanisms The simulated spectra show that the two-state theory of a metastable-to-stable thermally activated transition is compatible with the experimental results. However, alternative mechanisms may also explain the experimental data. One possibility is that parallel and antiparallel configurations, due to differing thermostability, reversibly melt at different temperatures. As a result, the thermally activated homogenization could actually be melting of antiparallel G4s at lower temperatures subsequent melting of parallel G4s at higher temperatures. This would explain the observed single-sweep experimental data, but would not explain the irreversibility experiments. It is possible, however, that antiparallel G4s could unfold during the first temperature sweep but then find the more stable parallel G4 fold while cooling. This would be similar to ref. ( 25 )’s model that two folding paths exist while folding parallel G4s, and could be implemented mathematically using the model from this paper, with an additional “unfolded” state. Alternatively, the unfolded state or off-target traps could be kinetically trapping unfolded antiparallel G4s and preventing them from refolding. this proposed mechanism would still involve metastability, but in the opposite direction from the one proposed here: metastable trapping happens after heating, not before. Nucleic acid condensate formation is known to be linked to disease ( 12 , 28 – 30 ), it has been shown that GGGGCC RNA repeats indeed undergo liquid-liquid phase separation ( 12 ). It is possible that certain topologies are more prone to droplet formation, and phase separation could stabilize particular conformations within a droplet which are not globally stable in the bulk. After a heating cycle, droplet formation itself could become metastable and therefore prevent initial configurational composition from being restored. Thus, aggregation-based mechanisms cannot be ruled out at this time. However, degradation of the DNA can be ruled out as a possible contributing mechanism because we have shown previously that degradation of the nucleic acids does not occur ( 21 ). 4 DISCUSSION In this work, we have explored the thermodynamic and kinetic relationships between parallel and non-parallel G4 configurations of the GGGGCC hexanucleotide repeat expansion which appears in ALS/FTD. By performing temperature-swept CD measurements, we plotted 3D CD spectra which showed a clear change in CD spectral shape indicative of homogenization of G4s to the parallel configuration followed by melting of the parallel G4s at subsequently higher temperatures. We then demonstrated experimentally that this transition was irreversible by performing sequential temperature sweeps with a cooling step in between. Finally, we proposed a simple, minimal two-state theory to explain the thermally activated configurational homogenization as a metastable-to-stable transition of kinetically trapped NPG4s into PG4s. We also proposed alternative mechanisms which could involve metastability and kinetic trapping during the refolding process as well as droplet formation and aggregation. Regardless of the exact theoretical mechanism, our results indicate that temperature-dependent regulation of the free energy landscape governing G4 conformation can lead to substantial changes in the composition of the G4 population. However, we acknowledge a limitation that the broad temperature ranges used in vitro in this study are not encountered in vivo and therefore may not be directly relevant to cell states. However, since G4s are present in vivo ( 37 ), it is still possible that intracellular enzymatic regulators could modulate the free energy barriers separating G4 conformations in the way that we used heat to regulate them in our experiments. There are many known helicases which interact with and can unwind G4s such as the DEAH-box helicase, Bloom helicase, and Fanconi anemia complementation group J helicase ( 38 ). More broadly, our work opens the door to further investigation of how G4 configurational composition and thermodynamic/kinetic phenomena can impact DNA synthesis and repair fidelity. Many open questions also remain about how G4 configurational changes may be coupled to biomolecular condensate formation observed in pathological cell states. An understanding of how NPG4-PG4 transitions, unimolecular G4 versus multimolecular G4 formation, and liquid-liquid phase separation are related to each other is still an open question which will be addressed in our forthcoming work. 5 AUTHOR CONTRIBUTIONS D.R., D.E., V.M., and B.K.M. developed the project idea. D.R., O.L., O.M., S.B., S.D., R.B., R.D., and B.K.M. conducted experiments. V.M. contributed analytical theory. D.R., V.M., and B.K.M. analyzed the data. D.R., V.M., and B.K.M. wrote the manuscript. B.K.M. supervised the project. Funding and resource acknowledgment This work was supported by VCOM’s REAP grants 1032453 and 1302559 (to B.K.M.), a Hertz Foundation Fellowship (to V.M.), a PD Soros Fellowship (to V.M.), and by award T32GM14427 from the National Institute of General Medical Sciences (to Harvard/MIT MD-PhD Program). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of General Medical Sciences or the National Institutes of Health. The authors declare no known conflict of interest. The authors thank three anonymous reviewers for their helpful comments and suggestions. Code and data availability Code and data will be made publicly available upon publication. SUPPLEMENTARY INFORMATION Supplementary Note A MODULATING p est PERFORMS AN AFFINE SHIFT ON p ( τ, T i ) Suppose the experimental CD specturm at 20 °C, ϵ mix ( λ ) is given by a linear combination of parallel and antiparallel basis spectra, ϵ P ( λ ) and ϵ A ( λ ), respectively, with a guessed PG4 fraction p est and NPG4 fraction 1 − p est : The estimated antiparallel basis spectrum is solved in terms of the experimentally observed room temperature (mixed) spectrum ϵ mix ( λ ) and the presumed parallel spectrum (obtained at high temperature) ϵ P ( λ ): The theoretical 3D spectrum ϵ 3D ( λ, T i ) is given by main text eq. (6) . Substituting the above equation for ϵ A ( λ ), we have Letting we can now write Thus, the 3D CD spectrum is only affected by changes to α ( T i ), which is a linear function of the p ( τ ; T i ) given by the thermodynamic-kinetic theory in the main text. If we choose a different p est , it simply affects via an affine shift of the curve p ( τ ; T i ). SUPPLEMENTARY TABLE View this table: View inline View popup Download powerpoint Table S1: Summary of all 3D CD spectra obtained, their T peak values, and their locations within this paper. SUPPLEMENTARY FIGURES Download figure Open in new tab Figure S1: For 17 repeats of GGGGCC, the CD spectrum remained the same and stable at room temperature each day, for 5 days. Download figure Open in new tab Figure S2: 3D CD spectra and irreversibility data for additional oligonucleotides with varying hexanucleotide repeat copy numbers. 3D CD spectra demonstrate the metastable-to-stable homogenization transition consistent with theory, and consistent across hexanucleotide repeat copy numbers. Irreversibility data show stability of the CD peak during the second temperature sweep (20 °C to 100 °C, orange) after it was reached at the end of the first temperature sweep (20 °C to 80 °C, blue). Irreversibility data are consistent across hexanucleotide repeat copy numbers. The wavelengths used to capture irreversibility data for each copy number are listed and are all in the 264-269 nm. Download figure Open in new tab Figure S3: Additional experimental replicates for 6 and 14 repeats not utilized in other figures. Results are qualitatively similar to Figure S2 . Download figure Open in new tab Figure S4: For 4 repeats of GGGGCC, we plot the temperature sweep experiments with ( A , C ) color-coded 2D and ( B , D ) 3D spectra with both shorter (30 second) and longer (300 second) wait times between each 2 °C increment. Download figure Open in new tab Figure S5: For 16 repeats of GGGGCC, the temperature sweep experiments yielded similar ( A , C ) color-coded 2D and ( B , D ) 3D spectra with both shorter (30 second) and longer (300 second) wait times between each 2 °C increment. Download figure Open in new tab Figure S6: Thermally activated metastable-to-stable G4 transition is irreversible. ( A ) For 4 hexanucleotide repeats, the first temperature sweep (blue) shows a CD increase at 269 nm as temperature increases from 20 °C up to 80 °C, indicative of a transition to PG4s. After cooling back to 20 °C, the second temperature sweep (red) shows stability of the CD peak from 20 °C up to roughly 80 °C, after which CD decreases, either due to G4 melting (or possibly NPG4 formation). ( B ) Same as (A), but with 14 hexanucleotide repeats with CD measured at 264 nm. ( C ) Same as (A) and (B), but with 20 hexanucleotide repeats with CD measured at 267 nm. CD lines were smoothed with a moving average filter using a convolution kernel with a 5-datapoint width. 6 ACKNOWLEDGMENTS Funder Information Declared Edward Via College of Osteopathic Medicine, https://ror.org/00sda2672 , 1032453 , 1302559 Fannie and John Hertz Foundation , Hertz Foundation Fellowship Paul & Daisy Soros Fellowships for New Americans, https://ror.org/02320dz84 , PD Soros Fellowship National Institute of General Medical Sciences, https://ror.org/04q48ey07 , T32GM14427 Footnotes Updated data, figures, mathematical calculations, and included alternative molecular mechanisms. REFERENCES 1. ↵ Eva L. Feldman et al. “ Amyotrophic lateral sclerosis ”. In: The Lancet 400 . 10360 ( 2022 ), pp. 1363 – 1380 . OpenUrl 2. ↵ Sara Zarei et al. “ A comprehensive review of amyotrophic lateral sclerosis ”. In: Surgical Neurology International 6 ( 2015 ), p. 171 . OpenUrl 3. ↵ Richard J. Mead et al. “ Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translation ”. In: Nature Reviews Drug Discovery 22 . 3 ( 2023 ), pp. 185 – 212 . OpenUrl 4. J. R. Hodges and B. Miller . “ The classification, genetics and neuropathology of frontotemporal dementia. Introduction to the special topic papers: Part I ”. In: Neurocase 7 . 1 ( 2001 ), pp. 31 – 35 . OpenUrl 5. ↵ James R. Burrell et al. “ The frontotemporal dementiamotor neuron disease continuum ”. In: The Lancet 388 . 10047 ( 2016 ). Publisher: Elsevier , pp. 919 – 931 . OpenUrl 6. ↵ Sayantani Ghosh and Carol F. Lippa . “ Clinical Subtypes of Frontotemporal Dementia ”. In: American Journal of Alzheimer’s Disease and Other Dementias 30 . 7 ( 2015 ), pp. 653 – 661 . OpenUrl 7. ↵ Laura Tzeplaeff et al. “ Current State and Future Directions in the Therapy of ALS ”. In: Cells 12 . 11 ( 2023 ), p. 1523 . OpenUrl 8. ↵ Rosa Rademakers . “ C9ORF72 repeat expansions in ALS and FTD patients worldwide ”. In: Lancet neurology 11 . 4 ( 2012 ), pp. 297 – 298 . OpenUrl 9. ↵ Alan E. Renton et al. “ A Hexanucleotide Repeat Expansion in C9ORF72 Is the Cause of Chromosome 9p21-Linked ALS-FTD ”. In: Neuron 72 . 2 ( 2011 ), pp. 257 – 268 . OpenUrl 10. ↵ Yoshifumi Sonobe et al. “ Translation of dipeptide repeat proteins in C9ORF72 ALS/FTD through unique and redundant AUG initiation codons ”. In: eLife 12 ( 2023 ), e83189 . OpenUrl 11. Shaopeng Wang et al. “ Nuclear export and translation of circular repeat-containing intronic RNA in C9ORF72-ALS/FTD ”. In: Nature Communications 12 . 1 ( 2021 ), p. 4908 . OpenUrl 12. ↵ Federica Raguseo et al. “ The ALS/FTD-related C9orf72 hexanucleotide repeat expansion forms RNA condensates through multimolecular G-quadruplexes ”. In: Nature Communications 14 . 1 ( 2023 ), p. 8272 . OpenUrl 13. ↵ D. Sen and W. Gilbert . “ Formation of parallel fourstranded complexes by guanine-rich motifs in DNA and its implications for meiosis ”. In: Nature 334 . 6180 ( 1988 ), pp. 364 – 366 . OpenUrl 14. ↵ Kaalak Reddy et al. “ The Disease-associated r(GGGGCC)n Repeat from the C9orf72 Gene Forms Tract Lengthdependent Uni- and Multimolecular RNA G-quadruplex Structures ”. In: The Journal of Biological Chemistry 288 . 14 ( 2013 ), pp. 9860 – 9866 . OpenUrl 15. Erin G Conlon et al. “ The C9ORF72 GGGGCC expansion forms RNA G-quadruplex inclusions and sequesters hnRNP H to disrupt splicing in ALS brains ”. In: eLife 5 ( 2016 ), e17820 . OpenUrl 16. Bo Zhou et al. “ Characterizations of distinct parallel and antiparallel G-quadruplexes formed by two-repeat ALS and FTD related GGGGCC sequence ”. In: Scientific Reports 8 . 1 ( 2018 ), p. 2366 . OpenUrl 17. ↵ Yanyan Geng et al. “ Crystal structure of parallel Gquadruplex formed by the two-repeat ALS- and FTDrelated GGGGCC sequence ”. In: Nucleic Acids Research 49 . 10 ( 2021 ), pp. 5881 – 5890 . OpenUrl 18. ↵ Hala Abou Assi et al. “ i-Motif DNA: structural features and significance to cell biology ”. In: Nucleic Acids Research 46 . 16 ( 2018 ), pp. 8038 – 8056 . OpenUrl 19. ↵ Kalle Gehring , Jean-Louis Leroy , and Maurice Guéron . “ A tetrameric DNA structure with protonated cytosinecytosine base pairs ”. In: Nature 363 . 6429 ( 1993 ), pp. 561 – 565 . OpenUrl 20. ↵ MaryElizabeth Stein et al. “ Variation in G-quadruplex Sequence and Topology Differentially Impacts Human DNA Polymerase Fidelity ”. In: DNA repair 119 ( 2022 ), p. 103402 . OpenUrl 21. ↵ Levi Diggins et al. “ CD spectra reveal the state of Gquadruplexes and i-motifs in repeated and other DNA sequences ”. In: Biophysical Reports 5 . 1 ( 2025 ), p. 100187 . OpenUrl 22. ↵ Robert D. Gray , John O. Trent , and Jonathan B. Chaires . “ Folding and Unfolding Pathways of the Human Telomeric G-Quadruplex ”. In: Journal of Molecular Biology 426 . 8 ( 2014 ), pp. 1629 – 1650 . OpenUrl 23. Ming-Li Zhang et al. “ Studying the Potassium-Induced G-Quadruplex DNA Folding Process Using Microscale Thermophoresis ”. In: Biochemistry 58 . 38 ( 2019 ), pp. 3955 – 3959 . OpenUrl 24. ↵ Adrien Marchand and Valérie Gabelica . “ Folding and misfolding pathways of G-quadruplex DNA ”. In: Nucleic Acids Research 44 . 22 ( 2016 ), pp. 10999 – 11012 . OpenUrl 25. ↵ Jianjun Xia et al. “ Antiparallel G-Quadruplex Formation Hinders Conversion to a Parallel Topology ”. In: The Journal of Physical Chemistry B 128 . 45 ( 2024 ), pp. 11077 – 11087 . OpenUrl 26. ↵ Magdalena M. Dailey et al. “ Resolution and characterization of the structural polymorphism of a single quadruplex-forming sequence ”. In: Nucleic Acids Research 38 . 14 ( 2010 ), pp. 4877 – 4888 . OpenUrl 27. ↵ Angelo Nicosia et al. “ Porphyrin-Based Supramolecular Flags in the Thermal Gradients’ Wind: What Breaks the Symmetry, How and Why ”. In: Nanomaterials 11 . 7 ( 2021 ), p. 1673 . OpenUrl 28. ↵ Wenmeng Wang et al. “ G-quadruplexes promote the motility in MAZ phase-separated condensates to activate CCND1 expression and contribute to hepatocarcinogenesis ”. In: Nature Communications 15 . 1 ( 2024 ), p. 1045 . OpenUrl 29. Mitsuki Tsuruta et al. “ Controlling liquid–liquid phase separation of G-quadruplex-forming RNAs in a sequencespecific manner ”. In: Chemical Communications 58 . 93 ( 2022 ), pp. 12931 – 12934 . OpenUrl 30. ↵ Zi Gao et al. “ Phase Separation Modulates the Formation and Stabilities of DNA Guanine Quadruplex ”. In: JACS Au 3 . 6 ( 2023 ), pp. 1650 – 1657 . OpenUrl 31. ↵ Momo Moriya et al. “ Protocol for circular dichroism spectral analysis of the thermal stability of CpG-methylated quadruplex structures ”. In: STAR Protocols 6 . 1 ( 2025 ), p. 103646 . OpenUrl 32. ↵ Bo Zhou et al. “ Topology of a G-quadruplex DNA formed by C9orf72 hexanucleotide repeats associated with ALS and FTD ”. In: Scientific Reports 5 . 1 ( 2015 ), p. 16673 . OpenUrl 33. ↵ Saowalak Laddachote , Rika Ishii , and Wataru Yoshida . “ Effects of CpG methylation on the thermal stability of c-kit2, c-kit*, and c-kit1 G-quadruplex structures ”. In: BBA Advances 1 ( 2021 ), p. 100007 . OpenUrl 34. ↵ Aifang Cheng et al. “ Selective C9orf72 G-Quadruplex-Binding Small Molecules Ameliorate Pathological Signatures of ALS/FTD Models ”. In: Journal of Medicinal Chemistry 65 . 19 ( 2022 ), pp. 12825 – 12837 . OpenUrl 35. ↵ Henry Eyring . “ The Activated Complex in Chemical Reactions ”. In: The Journal of Chemical Physics 3 . 2 ( 1935 ), pp. 107 – 115 . OpenUrl 36. ↵ Rafael del Villar-Guerra , John O. Trent , and Jonathan B. Chaires . “ G-Quadruplex Secondary Structure Obtained from Circular Dichroism Spectroscopy ”. In: Angewandte Chemie International Edition 57 . 24 ( 2018 ), pp. 7171 – 7175 . OpenUrl 37. ↵ Ze-Hao Zhang et al. “ In vivo dynamics and regulation of DNA G-quadruplex structures in mammals ”. In: Cell & Bioscience 13 . 1 ( 2023 ), p. 117 . OpenUrl 38. ↵ Koichi Sato et al. “ Multistep mechanism of G-quadruplex resolution during DNA replication ”. In: Science Advances 7 . 39 ( 2021 ), eabf8653 . OpenUrl View the discussion thread. Back to top Previous Next Posted November 24, 2025. Download PDF Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Thermally activated irreversible homogenization of G-quadruplexes in an ALS/FTD-associated gene Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Thermally activated irreversible homogenization of G-quadruplexes in an ALS/FTD-associated gene Daniel Ross , Olivia Lewis , Olivia McLean , Sundeep Bhanot , Shane Donahue , Rachael Baker , Randi Dias , David Eagerton , Vaibhav Mohanty , Bidyut K. Mohanty bioRxiv 2025.06.02.657482; doi: https://doi.org/10.1101/2025.06.02.657482 Share This Article: Copy Citation Tools Thermally activated irreversible homogenization of G-quadruplexes in an ALS/FTD-associated gene Daniel Ross , Olivia Lewis , Olivia McLean , Sundeep Bhanot , Shane Donahue , Rachael Baker , Randi Dias , David Eagerton , Vaibhav Mohanty , Bidyut K. Mohanty bioRxiv 2025.06.02.657482; doi: https://doi.org/10.1101/2025.06.02.657482 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Biophysics Subject Areas All Articles Animal Behavior and Cognition (7618) Biochemistry (17633) Bioengineering (13856) Bioinformatics (41841) Biophysics (21399) Cancer Biology (18529) Cell Biology (25422) Clinical Trials (138) Developmental Biology (13352) Ecology (19860) Epidemiology (2067) Evolutionary Biology (24282) Genetics (15582) Genomics (22462) Immunology (17700) Microbiology (40295) Molecular Biology (17140) Neuroscience (88419) Paleontology (666) Pathology (2823) Pharmacology and Toxicology (4813) Physiology (7632) Plant Biology (15107) Scientific Communication and Education (2042) Synthetic Biology (4284) Systems Biology (9808) Zoology (2267)

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00