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Database Commons

a catalog of worldwide biological databases

Database Profile

RNAgranuleDB

General information

URL: http://rnagranuledb.lunenfeld.ca
Full name: RNA granule database
Description: Here, we provide a consensus SG proteome through literature curation and an update of the user-friendly database RNAgranuleDB to version 2.0. With this updated SG proteome, we use next-generation phase separation prediction tools to assess the predisposition of SG proteins for phase separation and aggregation.
Year founded: 2019
Last update:
Version: v2.0
Accessibility:
Accessible
Country/Region: Canada

Classification & Tag

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Contact information

University/Institution: University of Toronto
Address:
City:
Province/State:
Country/Region: Canada
Contact name (PI/Team): Ji-Young Youn
Contact email (PI/Helpdesk): jiyoung.youn@sickkids.ca

Publications

36662637
A New Phase of Networking: The Molecular Composition and Regulatory Dynamics of Mammalian Stress Granules. [PMID: 36662637]
Sean R Millar, Jie Qi Huang, Karl J Schreiber, Yi-Cheng Tsai, Jiyun Won, Jianping Zhang, Alan M Moses, Ji-Young Youn

Stress granules (SGs) are cytosolic biomolecular condensates that form in response to cellular stress. Weak, multivalent interactions between their protein and RNA constituents drive their rapid, dynamic assembly through phase separation coupled to percolation. Though a consensus model of SG function has yet to be determined, their perceived implication in cytoprotective processes (, antiviral responses and inhibition of apoptosis) and possible role in the pathogenesis of various neurodegenerative diseases (, amyotrophic lateral sclerosis and frontotemporal dementia) have drawn great interest. Consequently, new studies using numerous cell biological, genetic, and proteomic methods have been performed to unravel the mechanisms underlying SG formation, organization, and function and, with them, a more clearly defined SG proteome. Here, we provide a consensus SG proteome through literature curation and an update of the user-friendly database RNAgranuleDB to version 2.0 (http://rnagranuledb.lunenfeld.ca/). With this updated SG proteome, we use next-generation phase separation prediction tools to assess the predisposition of SG proteins for phase separation and aggregation. Next, we analyze the primary sequence features of intrinsically disordered regions (IDRs) within SG-resident proteins. Finally, we review the protein- and RNA-level determinants, including post-translational modifications (PTMs), that regulate SG composition and assembly/disassembly dynamics.

Chem Rev. 2023:123(14) | 71 Citations (from Europe PMC, 2025-12-13)
31626750
Properties of Stress Granule and P-Body Proteomes. [PMID: 31626750]
Youn JY, Dyakov BJA, Zhang J, Knight JDR, Vernon RM, Forman-Kay JD, Gingras AC.

Stress granules and P-bodies are cytosolic biomolecular condensates that dynamically form by the phase separation of RNAs and proteins. They participate in translational control and buffer the proteome. Upon stress, global translation halts and mRNAs bound to the translational machinery and other proteins coalesce to form stress granules (SGs). Similarly, translationally stalled mRNAs devoid of translation initiation factors shuttle to P-bodies (PBs). Here, we review the cumulative progress made in defining the protein components that associate with mammalian SGs and PBs. We discuss the composition of SG and PB proteomes, supported by a new user-friendly database (http://rnagranuledb.lunenfeld.ca/) that curates current literature evidence for genes or proteins associated with SGs or PBs. As previously observed, the SG and PB proteomes are biased toward intrinsically disordered regions and have a high propensity to contain primary sequence features favoring phase separation. We also provide an outlook on how the various components of SGs and PBs may cooperate to organize and form membraneless organelles.

Mol Cell. 2019:76(2) | 331 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
280/6895 (95.954%)
Gene genome and annotation:
105/2021 (94.854%)
280
Total Rank
358
Citations
59.667
z-index

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Record metadata

Created on: 2023-08-22
Curated by:
Yuanyuan Cheng [2023-09-11]
Yuxin Qin [2023-09-05]
Yue Qi [2023-08-22]