The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Structure of FUS Protein Fibrils and Its Relevance to Self-Assembly and Phase Separation of Low-Complexity Domains
Open accessAbstract
SUMMARY Polymerization and phase separation of proteins containing low-complexity (LC) domains are important factors in gene expression, mRNA processing and trafficking, and localization of translation. We have used solid state nuclear magnetic resonance methods to characterize the molecular structure of self-assembling fibrils formed by the LC domain of the fused in sarcoma (FUS) RNA-binding protein. From the 214-residue LC domain of FUS (FUS-LC), a segment of only 57 residues forms the fibril core, while other segments remain dynamically disordered. Unlike pathogenic amyloid fibrils, FUS-LC fibrils lack hydrophobic interactions within the core and are not polymorphic at the molecular structural level. Phosphorylation of core-forming residues by DNA-dependent protein kinase blocks binding of soluble FUS-LC to FUS-LC hydrogels and dissolves phase-separated, liquid-like FUS-LC droplets. These studies offer a structural basis for understanding LC domain self-assembly, phase separation, and regulation by post-translational modification.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Scalable molecular dynamics with NAMD
Phillips, J. C., Braun, R., Wang, W., Gumbart, J., Tajkhorshid, E., Villa, E., Chipot, C., Skeel, R. D., Kalé, L., & Schulten, K. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20289 · Cited by 16,914
Intrinsically unstructured proteins and their functions
Dyson, H. J., & Wright, P. E. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1589 · Cited by 3,871
Kato, M., Han, T. W., Xie, S., Shi, K., Du, X., Wu, L. C., Mirzaei, H., Goldsmith, E. J., Longgood, J., Pei, J., et al. (2012) · Cell · doi:10.1016/j.cell.2012.04.017 · Cited by 2,012
Self-citationElbaum-Garfinkle, S., Kim, Y., Szczepaniak, K., Chen, C. C.-H., Eckmann, C. R., Myong, S., & Brangwynne, C. P. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504822112 · Cited by 1,278
Intrinsic Disorder in Transcription Factors
Liu, J., Perumal, N. B., Oldfield, C. J., Su, E. W., Uversky, V. N., & Dunker, A. K. (2006) · Biochemistry · doi:10.1021/bi0602718 · Cited by 792
A dual pressure linear ion trap orbitrap instrument with very high sequencing speed
Olsen, J. V., Schwartz, J. C., Griep-Raming, J., Nielsen, M. L., Damoc, E., Denisov, E., Lange, O., Remes, P., Taylor, D., Splendore, M., et al. (2009) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m900375-mcp200 · Cited by 464
Identification and characterization of FUS/TLS as a new target of ATM
Gardiner, M., Toth, R., Vandermoere, F., Morrice, N. A., & Rouse, J. (2008) · Biochemical Journal · doi:10.1042/bj20081135 · Cited by 111
Cited by
Alberti, S., Gladfelter, A., & Mittag, T. (2019) · Cell · doi:10.1016/j.cell.2018.12.035 · Cited by 2,856
Imaging dynamic and selective low-complexity domain interactions that control gene transcription
Chong, S., Dugast-Darzacq, C., Liu, Z., Dong, P., Dailey, G. M., Cattoglio, C., Heckert, A., Banala, S., Lavis, L., Darzacq, X., et al. (2018) · Science · doi:10.1126/science.aar2555 · Cited by 966
Molecular interactions underlying liquid‐liquid phase separation of the FUS low‐complexity domain
Murthy, A. C., Dignon, G. L., Kan, Y., Zerze, G. H., Parekh, S. H., Mittal, J., & Fawzi, N. L. (2019) · Nature Structural & Molecular Biology · doi:10.1038/s41594-019-0250-x · Cited by 698
Phase separation and neurodegenerative diseases: a disturbance in the force
Zbinden, A., Pérez-Berlanga, M., De Rossi, P., & Polymenidou, M. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.09.014 · Cited by 500
The expanding amyloid family: Structure, stability, function, and pathogenesis
Sawaya, M. R., Hughes, M. P., Rodriguez, J. A., Riek, R., & Eisenberg, D. S. (2021) · Cell · doi:10.1016/j.cell.2021.08.013 · Cited by 475
Relationship of sequence and phase separation in protein low-complexity regions
Martin, E. W., & Mittag, T. (2018) · Biochemistry · doi:10.1021/acs.biochem.8b00008 · Cited by 389
Evidence for additive and synergistic action of mammalian enhancers during cell fate determination
Choi, J., Lysakovskaia, K., Stik, G., Demel, C., Söding, J., Tian, T. V., Graf, T., & Cramer, P. (2021) · eLife · doi:10.7554/elife.65381 · Cited by 117
“Such enhancer cooperation could be simultaneous and may rely on cooperative nuclear condensation based on liquid–liquid phase separation (Boehning et al., 2018; Boija et al., 2018; Chong et al., 2018; Hnisz et al., 2017; Murray et al., 2017; Nair et al., 2019; Sabari et al., 2018).”
BackgroundMalik, A. M., Miguez, R. A., Li, X., Ho, Y.-S., Feldman, E. L., & Barmada, S. J. (2018) · eLife · doi:10.7554/elife.35977 · Cited by 92
Vimentin filaments integrate low-complexity domains in a complex helical structure
Eibauer, M., Weber, M. S., Kronenberg-Tenga, R., Beales, C. T., Boujemaa-Paterski, R., Turgay, Y., Sivagurunathan, S., Kraxner, J., Köster, S., Goldman, R. D., et al. (2024) · Nature Structural & Molecular Biology · doi:10.1038/s41594-024-01261-2 · Cited by 87
(2019) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2019.08.002 · Cited by 78
Integrative Structural Biology in the Era of Accurate Structure Prediction
Masrati, G., Landau, M., Ben-Tal, N., Lupas, A., Kosloff, M., & Kosinski, J. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167127 · Cited by 53
Complex coacervates as artificial membraneless organelles and protocells
Deng, N.-N. (2020) · Biomicrofluidics · doi:10.1063/5.0023678 · Cited by 40
Cysteine oxidation triggers amyloid fibril formation of the tumor suppressor p16INK4A
Göbl, C., Morris, V. K., van Dam, L., Visscher, M., Polderman, P. E., Hartlmüller, C., de Ruiter, H., Hora, M., Liesinger, L., Birner-Gruenberger, R., et al. (2020) · Redox Biology · doi:10.1016/j.redox.2019.101316 · Cited by 29
Jia, B., Shen, Z., Zhu, S., Huang, J., Liao, Z., Zhao, S., Li, H., Chen, S., Xu, Y., Wang, Y., et al. (2025) · Cell · doi:10.1016/j.cell.2025.07.047 · Cited by 25
Lu, Y., Sharma, B., Soon, W. L., Shi, X., Zhao, T., Lim, Y. T., Sobota, R. M., Hoon, S., Pilloni, G., Usadi, A., et al. (2022) · Advanced Science · doi:10.1002/advs.202201444 · Cited by 23
Fused in sarcoma undergoes cold denaturation: Implications for phase separation
Félix, S. S., Laurents, D. V., Oroz, J., & Cabrita, E. J. (2023) · Protein Science · doi:10.1002/pro.4521 · Cited by 12
Capturing the Conformational Heterogeneity of HSPB1 Chaperone Oligomers at Atomic Resolution
Berkeley, R. F., Plonski, A. P., Phan, T. M., Grohe, K., Becker, L., Wegner, S., Herzik, M. A., Mittal, J., & Debelouchina, G. T. (2025) · Journal of the American Chemical Society · doi:10.1021/jacs.4c18668 · Cited by 12
Kaddis Maldonado, R., Lambert, G. S., Rice, B. L., Sudol, M., Flanagan, J. M., & Parent, L. J. (2023) · Journal of Molecular Biology · doi:10.1016/j.jmb.2023.168182 · Cited by 9
Gu, J., Zhou, X., Sutherland, L., Liszczak, G., & McKnight, S. L. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2503382122
Self-citation
Metadata
- Authors
- Murray, D. T., Kato, M., Lin, Y., Thurber, K. R., Hung, I., McKnight, S. L., & Tycko, R.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 171
- Issue
- 3
- Pages
- 615-627.e16
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2758396775
- Cited by
- 757
- References
- 8
- FWCI
- 37.42
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.