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Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations

Ribonucleoprotein (RNP) granules are membraneless organelles (MLOs), which majorly consist of RNA and RNA-binding proteins and are formed via liquid–liquid phase separation (LLPS). Experimental studies investigating the drivers of LLPS have shown that intrinsically disordered proteins (IDPs) and nuc...

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Autores principales: Regy, Roshan Mammen, Dignon, Gregory L, Zheng, Wenwei, Kim, Young C, Mittal, Jeetain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736803/
https://www.ncbi.nlm.nih.gov/pubmed/33264400
http://dx.doi.org/10.1093/nar/gkaa1099
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author Regy, Roshan Mammen
Dignon, Gregory L
Zheng, Wenwei
Kim, Young C
Mittal, Jeetain
author_facet Regy, Roshan Mammen
Dignon, Gregory L
Zheng, Wenwei
Kim, Young C
Mittal, Jeetain
author_sort Regy, Roshan Mammen
collection PubMed
description Ribonucleoprotein (RNP) granules are membraneless organelles (MLOs), which majorly consist of RNA and RNA-binding proteins and are formed via liquid–liquid phase separation (LLPS). Experimental studies investigating the drivers of LLPS have shown that intrinsically disordered proteins (IDPs) and nucleic acids like RNA and other polynucleotides play a key role in modulating protein phase separation. There is currently a dearth of modelling techniques which allow one to delve deeper into how polynucleotides play the role of a modulator/promoter of LLPS in cells using computational methods. Here, we present a coarse-grained polynucleotide model developed to fill this gap, which together with our recently developed HPS model for protein LLPS, allows us to capture the factors driving protein-polynucleotide phase separation. We explore the capabilities of the modelling framework with the LAF-1 RGG system which has been well studied in experiments and also with the HPS model previously. Further taking advantage of the fact that the HPS model maintains sequence specificity we explore the role of charge patterning on controlling polynucleotide incorporation into condensates. With increased charge patterning we observe formation of structured or patterned condensates which suggests the possible roles of polynucleotides in not only shifting the phase boundaries but also introducing microscopic organization in MLOs.
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spelling pubmed-77368032020-12-17 Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations Regy, Roshan Mammen Dignon, Gregory L Zheng, Wenwei Kim, Young C Mittal, Jeetain Nucleic Acids Res Computational Biology Ribonucleoprotein (RNP) granules are membraneless organelles (MLOs), which majorly consist of RNA and RNA-binding proteins and are formed via liquid–liquid phase separation (LLPS). Experimental studies investigating the drivers of LLPS have shown that intrinsically disordered proteins (IDPs) and nucleic acids like RNA and other polynucleotides play a key role in modulating protein phase separation. There is currently a dearth of modelling techniques which allow one to delve deeper into how polynucleotides play the role of a modulator/promoter of LLPS in cells using computational methods. Here, we present a coarse-grained polynucleotide model developed to fill this gap, which together with our recently developed HPS model for protein LLPS, allows us to capture the factors driving protein-polynucleotide phase separation. We explore the capabilities of the modelling framework with the LAF-1 RGG system which has been well studied in experiments and also with the HPS model previously. Further taking advantage of the fact that the HPS model maintains sequence specificity we explore the role of charge patterning on controlling polynucleotide incorporation into condensates. With increased charge patterning we observe formation of structured or patterned condensates which suggests the possible roles of polynucleotides in not only shifting the phase boundaries but also introducing microscopic organization in MLOs. Oxford University Press 2020-12-02 /pmc/articles/PMC7736803/ /pubmed/33264400 http://dx.doi.org/10.1093/nar/gkaa1099 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Computational Biology
Regy, Roshan Mammen
Dignon, Gregory L
Zheng, Wenwei
Kim, Young C
Mittal, Jeetain
Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations
title Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations
title_full Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations
title_fullStr Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations
title_full_unstemmed Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations
title_short Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations
title_sort sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736803/
https://www.ncbi.nlm.nih.gov/pubmed/33264400
http://dx.doi.org/10.1093/nar/gkaa1099
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