The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules
Open accessAbstract
SUMMARY Stress granules (SGs) are transient ribonucleoprotein (RNP) aggregates that form during cellular stress and are increasingly implicated in human neurodegeneration. To study the proteome and compositional diversity of SGs in different cell types and in the context of neurodegeneration-linked mutations, we used ascorbate peroxidase (APEX) proximity labeling, mass spectrometry, and immunofluorescence to identify ~150 previously unknown human SG components. A highly integrated, pre-existing SG protein interaction network in unstressed cells facilitates rapid coalescence into larger SGs. Approximately 20% of SG diversity is stress or cell-type dependent, with neuronal SGs displaying a particularly complex repertoire of proteins enriched in chaperones and autophagy factors. Strengthening the link between SGs and neurodegeneration, we demonstrate aberrant dynamics, composition, and subcellular distribution of SGs in cells from amyotrophic lateral sclerosis (ALS) patients. Using three Drosophila ALS/FTD models, we identify SG-associated modifiers of neurotoxicity in vivo. Altogether, our results highlight SG proteins as central to understanding and ultimately targeting neurodegeneration.
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Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Kuleshov, M. V., Jones, M. R., Rouillard, A. D., Fernandez, N. F., Duan, Q., Wang, Z., Koplev, S., Jenkins, S. L., Jagodnik, K. M., Lachmann, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw377 · Cited by 10,799
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
Chen, E. Y., Tan, C. M., Kou, Y., Duan, Q., Wang, Z., Meirelles, G. V., Clark, N. R., & Ma’ayan, A. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-128 · Cited by 7,814
Ubiquitinated TDP-43 in Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis
Neumann, M., Sampathu, D. M., Kwong, L. K., Truax, A. C., Micsenyi, M. C., Chou, T. T., Bruce, J., Schuck, T., Grossman, M., Clark, C. M., et al. (2006) · Science · doi:10.1126/science.1134108 · Cited by 6,576
Antimicrobial Autophagy: A Conserved Innate Immune Response in Drosophila
Moy, R. H., & Cherry, S. (2013) · Journal of Innate Immunity · doi:10.1159/000350326 · Cited by 3,539
A Third-Generation Lentivirus Vector with a Conditional Packaging System
Dull, T., Zufferey, R., Kelly, M., Mandel, R. J., Nguyen, M., Trono, D., & Naldini, L. (1998) · Journal of Virology · doi:10.1128/jvi.72.11.8463-8471.1998 · Cited by 3,341
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Yang, P., Mathieu, C., Kolaitis, R.-M., Zhang, P., Messing, J., Yurtsever, U., Yang, Z., Wu, J., Li, Y., Pan, Q., et al. (2020) · Cell · doi:10.1016/j.cell.2020.03.046 · Cited by 1,249
Cellular quality control by the ubiquitin–proteasome system and autophagy
Pohl, C., & Dikic, I. (2019) · Science · doi:10.1126/science.aax3769 · Cited by 1,212
A framework for understanding the functions of biomolecular condensates across scales
Lyon, A. S., Peeples, W. B., & Rosen, M. K. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00303-z · Cited by 895
Stress granules and neurodegeneration
Wolozin, B., & Ivanov, P. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0222-5 · Cited by 810
Competing Protein-RNA Interaction Networks Control Multiphase Intracellular Organization
Sanders, D. W., Kedersha, N., Lee, D. S. W., Strom, A. R., Drake, V., Riback, J. A., Bracha, D., Eeftens, J. M., Iwanicki, A., Wang, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.03.050 · Cited by 773
Metadata
- Authors
- Markmiller, S., Soltanieh, S., Server, K. L., Mak, R., Jin, W., Fang, M. Y., Luo, E.-C., Krach, F., Yang, D., Sen, A., Fulzele, A., Wozniak, J. M., Gonzalez, D. J., Kankel, M. W., Gao, F.-B., Bennett, E. J., Lécuyer, E., & Yeo, G. W.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 172
- Issue
- 3
- Pages
- 590-604.e13
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2784401093
- Cited by
- 911
- References
- 88
- FWCI
- 57.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Markmiller, S., Soltanieh, S., Server, K. L., Mak, R., Jin, W., Fang, M. Y., Luo, E.-C., Krach, F., Yang, D., Sen, A., Fulzele, A., Wozniak, J. M., Gonzalez, D. J., Kankel, M. W., Gao, F.-B., Bennett, E. J., Lécuyer, E., & Yeo, G. W. (2018). Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules. Cell. https://doi.org/10.1016/j.cell.2017.12.032
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