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Cummings, S.

Publications and source records attributed to Cummings, S..

6 recordsLinked to original sources

Breaking β-sheets in FUS prion-like domain preserves phase separation and function but prevents aggregation and toxicity

The RNA-binding protein Fused in Sarcoma (FUS) undergoes phase separation associated with RNA processing. However, the prion-like low complexity (LC) domain of FUS forms solid-like aggregates in neurodegenerative diseases. Whether the formation of {beta}-sheet structure associated with pathology is also physiologically/functionally relevant is debated. Similarly, if mislocalization alone or concomitant aggregation is responsible for FUS gain-of-function toxicity remains to be probed. Here, we introduce {beta}-sheet breaking proline residues into FUS LC with the goal of preventing cross-{beta}-driven aggregation without disrupting essential functions and phase separation. {beta}-sheet-deficient FUS variants maintain native-like global motions, disorder, and phase separation, but no longer show a liquid-to-solid transition (LST). Biochemical partitioning, cellular localization, and auto- and cross-regulatory functions of FUS all remain essentially unchanged. Conversely, FUS-induced neurodegeneration in several Drosophila models is drastically reduced. These findings suggest a strategy for mitigating disease-related toxicity through backbone structure modulation to prevent prion-like domain protein aggregation. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/706410v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@d15f63org.highwire.dtl.DTLVardef@1cd6221org.highwire.dtl.DTLVardef@e58126org.highwire.dtl.DTLVardef@181ec67_HPS_FORMAT_FIGEXP M_FIG C_FIG SUMMARYThe RNA-binding protein Fused in Sarcoma (FUS) undergoes phase separation as part of its physiological function but can aberrantly aggregate into solid-like assemblies in amyotrophic lateral sclerosis and frontotemporal dementia. To dissect the role of {beta}-sheets in both function and pathological transition, we engineered {beta}-sheet-preventing FUS variants via targeted proline residue insertions in the prion-like disordered region. These variants retained native structure, motions, and phase behavior yet showed dramatically reduced aggregation, both as an isolated prion-like domain and in full-length FUS. Crucially, these variants maintained a panel of FUS cellular functions that depend on FUS condensation but prevented FUS toxicity in fly models of neurodegeneration. Our findings implicate {beta}-sheets as key drivers of FUS condensate maturation and neuronal toxicity, highlighting {beta}-sheet modulation as a therapeutic strategy against FUS-related neurodegeneration. HIGHLIGHTSO_LITargeted proline additions disrupt {beta}-sheet formation in FUS without altering native conformations, dynamics, or phase separation behavior C_LIO_LI{beta}-sheet-deficient FUS variants prevent aggregation and liquid-to-solid transitions while retaining key biological functions C_LIO_LIIn vivo models reveal attenuated toxicity of {beta}-sheet-deficient FUS in Drosophila C_LIO_LI{beta}-sheets are identified as central drivers of condensate maturation and neuronal death, offering a therapeutic entry point for modulating prion-like domain pathology C_LI

biochemistry↗

The glycine-arginine-rich motif of 53BP1 modulates RNA interactions necessary for its liquid-liquid phase separation during DNA Damage Response

The DNA damage response relies on the rapid assembly of repair factors into foci with properties of liquid-liquid phase separation, driven by de novo transcription of damage-induced RNAs. 53BP1 is a key component of these condensates, yet the molecular determinants driving this process remain unknown. Here, through computational, structural and in vitro approaches, we identify the oligomerization domain of 53BP1 and its glycine-arginine-rich (GAR) motif as crucial for RNA interactions and phase separation. Biophysical characterization reveals that 53BP1-RNA condensates can progressively mature into a more stable state, and that GAR mutants display aberrant material properties. Using a cellular model of telomere fusion events, we demonstrate that the GAR motif is essential for 53BP1-mediated DNA repair, which depends on the combined contributions of RNA binding and appropriate condensate biophysical properties. Therefore, RNA-driven 53BP1 condensation is functionally required to maintain genome integrity.

biophysics↗

RNA modulates FUS condensate assembly, dynamics, and aggregation through diverse molecular contacts

Fused in sarcoma (FUS) is an RNA-binding protein that undergoes phase separation with RNA and other cellular components, forming ribonucleoprotein (RNP) granules. While recent advances delineating the molecular forces that underlie phase separation have largely focused on protein-protein interactions (1-6), the molecular details of protein-RNA interactions within condensates remain limited. In this study, we demonstrate that RNA modulates the phase separation of the low-complexity (LC) and arginine-glycine-glycine motif (RGG1) domains of FUS: low RNA concentrations enhance protein phase separation and excess RNA disrupts it. By integrating biochemical assays, NMR spectroscopy, and molecular dynamics simulations, we show that RNA incorporates into FUS condensates, reducing condensate density while enhancing local relaxation and diffusional motion of FUS. Surprisingly, whereas RNA binding in the dispersed phase primarily involves the RGG1 domain, within the condensed phase, both LC and RGG1 domains contribute to interactions with RNA. NMR and simulation data show diverse interactions between amino acids and RNA moieties, including prominent glutamine-RNA contacts, that stabilize FUS-RNA co-condensates. Furthermore, we found that RNA accelerates the liquid-to-solid transition of FUS LC-RGG1 condensates, promoting fibrillar aggregate formation. Together, these results provide mechanistic insight into how RNA regulates the assembly, dynamics, and maturation of protein condensates. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC="FIGDIR/small/694118v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@19168a9org.highwire.dtl.DTLVardef@16e6878org.highwire.dtl.DTLVardef@18cb8a9org.highwire.dtl.DTLVardef@1af6a4c_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical AbstractC_FLOATNO Using NMR and molecular simulations, we map how RNA engages FUS LC-RGG1 within condensates through electrostatic, {pi}-stacking, and hydrogen-bond contacts. We find that RNA incorporation dilutes condensate density, tunes protein mobility, remodels interaction networks, and accelerates the formation of fibrillar aggregates. C_FIG

biochemistry↗

MicroRNA signatures of VO2peak in older adult participants of the Study of Muscle, Mobility and Aging

BackgroundPeak oxygen consumption during exercise (VO2peak), is a direct measure of cardiorespiratory fitness (CF), a key indicator of physical function and overall health. However, the molecular changes that underpin VO2peak variation are not clear. Our objective is to understand the miRNA signatures that relate to VO2peak variation, which could provide insights to novel mechanisms that contribute to low VO2peak. MethodsWe used small RNA sequencing to analyze serum samples from 72 participants (70-79 yrs old, 53% female) of the Study of Muscle, Mobility and Aging (SOMMA). We analyzed samples from individuals with low or high VO2peak (N=18/group) as well as samples from 36 randomly selected participants spanning the entire spectrum of VO2peak. We used LIMMA analysis package for regression analysis and to identify differentially expressed miRNAs. We used receiver operating characteristic curve analysis to evaluate the Area Under the Curve (AUC) and sensitivity and specificity rates. ResultsWe identified 1,055 miRNAs expressed in all serum samples. Expression of 65 miRNAs differed between participants with low and high VO2peak (p < 0.05). After p-value adjustment, expression of 5 miRNAs (miR-1301-3p, -431-5p, -501-5p, -519a-3p, and -18a-3p) remained significantly different (FDR = 0.05). The five miRNAs had AUC ranging from 0.77 to 0.84. The optimal sensitivity and specificity ranged from 70 to 80% and 80 to 90%, respectively. After adjustment for age and sex covariates, 46 miRNAs significantly correlated with VO2peak (p < 0.05) and miR-519a-3p remained significant based on adjusted of p-values. ConclusionsWe identified a miRNA signature of VO2peak in older individuals that might provide insights to novel mechanisms that drive low VO2peak. Future studies will validate the findings in a larger, longitudinal study cohort.

molecular biology↗

The TTLL10 polyglycylase is stimulated by tubulin glutamylation and inhibited by polyglycylation

Microtubules in cells have complex and developmentally stereotyped posttranslational modifications that support diverse processes such as cell division, ciliary growth and axonal specification. Glycylation, the addition of glycines, singly (monoglycylation) or in chains (polyglycylation), is primarily found on axonemal microtubules where it functions in cilia maintenance and motility. It is catalyzed by three enzymes in the tubulin tyrosine ligase-like family, TTLL3, 8 and 10. We show that TTLL8 monoglycylates both - and {beta}-tubulin, unlike TTLL3 which prefers {beta}-tubulin. Microscopy and mass spectrometry show that TTLL10 requires monoglycylation for high affinity microtubule binding and elongates polyglycine chains only from pre-existing glycine branches. Surprisingly, tubulin polyglycylation inhibits TTLL10 recruitment to microtubules proportional with the number of posttranslationally added glycines, suggesting an autonomous mechanism for polyglycine chain length control. In contrast, tubulin glutamylation, which developmentally precedes polyglycylation in cilia, increases TTLL10 recruitment to microtubules, suggesting a mechanism for sequential deposition of tubulin modifications on axonemes. Our work sheds light on how the tubulin code is written by establishing the substrate preference and regulation of TTLL glycylases and provides a minimal system for generating differentially glycylated microtubules for in vitro analyses of the tubulin code.

biochemistry↗

Somatic mutation as an explanation for epigenetic aging

DNA methylation marks have recently been used to build models known as "epigenetic clocks" which predict calendar age. As methylation of cytosine promotes C-to-T mutations, we hypothesized that the methylation changes observed with age should reflect the accrual of somatic mutations, and the two should yield analogous aging estimates. In analysis of multimodal data from 9,331 human individuals, we find that CpG mutations indeed coincide with changes in methylation, not only at the mutated site but also with pervasive remodeling of the methylome out to {+/-}10 kilobases. This one-to-many mapping enables mutation-based predictions of age that agree with epigenetic clocks, including which individuals are aging faster or slower than expected. Moreover, genomic loci where mutations accumulate with age also tend to have methylation patterns that are especially predictive of age. These results suggest a close coupling between the accumulation of sporadic somatic mutations and the widespread changes in methylation observed over the course of life.

genomics↗