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.
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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
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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
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
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