Literature DB >> 32302570

Competing Protein-RNA Interaction Networks Control Multiphase Intracellular Organization.

David W Sanders1, Nancy Kedersha2, Daniel S W Lee1, Amy R Strom1, Victoria Drake1, Joshua A Riback1, Dan Bracha1, Jorine M Eeftens1, Allana Iwanicki1, Alicia Wang1, Ming-Tzo Wei1, Gena Whitney1, Shawn M Lyons3, Paul Anderson2, William M Jacobs4, Pavel Ivanov2, Clifford P Brangwynne5.   

Abstract

Liquid-liquid phase separation (LLPS) mediates formation of membraneless condensates such as those associated with RNA processing, but the rules that dictate their assembly, substructure, and coexistence with other liquid-like compartments remain elusive. Here, we address the biophysical mechanism of this multiphase organization using quantitative reconstitution of cytoplasmic stress granules (SGs) with attached P-bodies in human cells. Protein-interaction networks can be viewed as interconnected complexes (nodes) of RNA-binding domains (RBDs), whose integrated RNA-binding capacity determines whether LLPS occurs upon RNA influx. Surprisingly, both RBD-RNA specificity and disordered segments of key proteins are non-essential, but modulate multiphase condensation. Instead, stoichiometry-dependent competition between protein networks for connecting nodes determines SG and P-body composition and miscibility, while competitive binding of unconnected proteins disengages networks and prevents LLPS. Inspired by patchy colloid theory, we propose a general framework by which competing networks give rise to compositionally specific and tunable condensates, while relative linkage between nodes underlies multiphase organization.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  G3BP; P-bodies; RNA binding; UBAP2L; USP10; condensates; membraneless organelles; multiphase; phase separation; stress granules

Mesh:

Substances:

Year:  2020        PMID: 32302570      PMCID: PMC7816278          DOI: 10.1016/j.cell.2020.03.050

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


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