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Using quantitative reconstitution to investigate multicomponent condensates
Many biomolecular condensates are thought to form via liquid–liquid phase separation (LLPS) of multivalent macromolecules. For those that form through this mechanism, our understanding has benefitted significantly from biochemical reconstitutions of key components and activities. Reconstitutions of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675290/ https://www.ncbi.nlm.nih.gov/pubmed/34772789 http://dx.doi.org/10.1261/rna.079008.121 |
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author | Currie, Simon L. Rosen, Michael K. |
author_facet | Currie, Simon L. Rosen, Michael K. |
author_sort | Currie, Simon L. |
collection | PubMed |
description | Many biomolecular condensates are thought to form via liquid–liquid phase separation (LLPS) of multivalent macromolecules. For those that form through this mechanism, our understanding has benefitted significantly from biochemical reconstitutions of key components and activities. Reconstitutions of RNA-based condensates to date have mostly been based on relatively simple collections of molecules. However, proteomics and sequencing data indicate that natural RNA-based condensates are enriched in hundreds to thousands of different components, and genetic data suggest multiple interactions can contribute to condensate formation to varying degrees. In this Perspective, we describe recent progress in understanding RNA-based condensates through different levels of biochemical reconstitutions as a means to bridge the gap between simple in vitro reconstitution and cellular analyses. Complex reconstitutions provide insight into the formation, regulation, and functions of multicomponent condensates. We focus on two RNA–protein condensate case studies: stress granules and RNA processing bodies (P bodies), and examine the evidence for cooperative interactions among multiple components promoting LLPS. An important concept emerging from these studies is that composition and stoichiometry regulate biochemical activities within condensates. Based on the lessons learned from stress granules and P bodies, we discuss forward-looking approaches to understand the thermodynamic relationships between condensate components, with the goal of developing predictive models of composition and material properties, and their effects on biochemical activities. We anticipate that quantitative reconstitutions will facilitate understanding of the complex thermodynamics and functions of diverse RNA–protein condensates. |
format | Online Article Text |
id | pubmed-8675290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86752902022-01-01 Using quantitative reconstitution to investigate multicomponent condensates Currie, Simon L. Rosen, Michael K. RNA Perspective Many biomolecular condensates are thought to form via liquid–liquid phase separation (LLPS) of multivalent macromolecules. For those that form through this mechanism, our understanding has benefitted significantly from biochemical reconstitutions of key components and activities. Reconstitutions of RNA-based condensates to date have mostly been based on relatively simple collections of molecules. However, proteomics and sequencing data indicate that natural RNA-based condensates are enriched in hundreds to thousands of different components, and genetic data suggest multiple interactions can contribute to condensate formation to varying degrees. In this Perspective, we describe recent progress in understanding RNA-based condensates through different levels of biochemical reconstitutions as a means to bridge the gap between simple in vitro reconstitution and cellular analyses. Complex reconstitutions provide insight into the formation, regulation, and functions of multicomponent condensates. We focus on two RNA–protein condensate case studies: stress granules and RNA processing bodies (P bodies), and examine the evidence for cooperative interactions among multiple components promoting LLPS. An important concept emerging from these studies is that composition and stoichiometry regulate biochemical activities within condensates. Based on the lessons learned from stress granules and P bodies, we discuss forward-looking approaches to understand the thermodynamic relationships between condensate components, with the goal of developing predictive models of composition and material properties, and their effects on biochemical activities. We anticipate that quantitative reconstitutions will facilitate understanding of the complex thermodynamics and functions of diverse RNA–protein condensates. Cold Spring Harbor Laboratory Press 2022-01 /pmc/articles/PMC8675290/ /pubmed/34772789 http://dx.doi.org/10.1261/rna.079008.121 Text en © 2022 Currie and Rosen; Published by Cold Spring Harbor Laboratory Press for the RNA Society https://creativecommons.org/licenses/by-nc/4.0/This article, published in RNA, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Perspective Currie, Simon L. Rosen, Michael K. Using quantitative reconstitution to investigate multicomponent condensates |
title | Using quantitative reconstitution to investigate multicomponent condensates |
title_full | Using quantitative reconstitution to investigate multicomponent condensates |
title_fullStr | Using quantitative reconstitution to investigate multicomponent condensates |
title_full_unstemmed | Using quantitative reconstitution to investigate multicomponent condensates |
title_short | Using quantitative reconstitution to investigate multicomponent condensates |
title_sort | using quantitative reconstitution to investigate multicomponent condensates |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675290/ https://www.ncbi.nlm.nih.gov/pubmed/34772789 http://dx.doi.org/10.1261/rna.079008.121 |
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