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PhaSePro: the database of proteins driving liquid–liquid phase separation
Membraneless organelles (MOs) are dynamic liquid condensates that host a variety of specific cellular processes, such as ribosome biogenesis or RNA degradation. MOs form through liquid–liquid phase separation (LLPS), a process that relies on multivalent weak interactions of the constituent proteins...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145634/ https://www.ncbi.nlm.nih.gov/pubmed/31612960 http://dx.doi.org/10.1093/nar/gkz848 |
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author | Mészáros, Bálint Erdős, Gábor Szabó, Beáta Schád, Éva Tantos, Ágnes Abukhairan, Rawan Horváth, Tamás Murvai, Nikoletta Kovács, Orsolya P Kovács, Márton Tosatto, Silvio C E Tompa, Péter Dosztányi, Zsuzsanna Pancsa, Rita |
author_facet | Mészáros, Bálint Erdős, Gábor Szabó, Beáta Schád, Éva Tantos, Ágnes Abukhairan, Rawan Horváth, Tamás Murvai, Nikoletta Kovács, Orsolya P Kovács, Márton Tosatto, Silvio C E Tompa, Péter Dosztányi, Zsuzsanna Pancsa, Rita |
author_sort | Mészáros, Bálint |
collection | PubMed |
description | Membraneless organelles (MOs) are dynamic liquid condensates that host a variety of specific cellular processes, such as ribosome biogenesis or RNA degradation. MOs form through liquid–liquid phase separation (LLPS), a process that relies on multivalent weak interactions of the constituent proteins and other macromolecules. Since the first discoveries of certain proteins being able to drive LLPS, it emerged as a general mechanism for the effective organization of cellular space that is exploited in all kingdoms of life. While numerous experimental studies report novel cases, the computational identification of LLPS drivers is lagging behind, and many open questions remain about the sequence determinants, composition, regulation and biological relevance of the resulting condensates. Our limited ability to overcome these issues is largely due to the lack of a dedicated LLPS database. Therefore, here we introduce PhaSePro (https://phasepro.elte.hu), an openly accessible, comprehensive, manually curated database of experimentally validated LLPS driver proteins/protein regions. It not only provides a wealth of information on such systems, but improves the standardization of data by introducing novel LLPS-specific controlled vocabularies. PhaSePro can be accessed through an appealing, user-friendly interface and thus has definite potential to become the central resource in this dynamically developing field. |
format | Online Article Text |
id | pubmed-7145634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71456342020-04-13 PhaSePro: the database of proteins driving liquid–liquid phase separation Mészáros, Bálint Erdős, Gábor Szabó, Beáta Schád, Éva Tantos, Ágnes Abukhairan, Rawan Horváth, Tamás Murvai, Nikoletta Kovács, Orsolya P Kovács, Márton Tosatto, Silvio C E Tompa, Péter Dosztányi, Zsuzsanna Pancsa, Rita Nucleic Acids Res Database Issue Membraneless organelles (MOs) are dynamic liquid condensates that host a variety of specific cellular processes, such as ribosome biogenesis or RNA degradation. MOs form through liquid–liquid phase separation (LLPS), a process that relies on multivalent weak interactions of the constituent proteins and other macromolecules. Since the first discoveries of certain proteins being able to drive LLPS, it emerged as a general mechanism for the effective organization of cellular space that is exploited in all kingdoms of life. While numerous experimental studies report novel cases, the computational identification of LLPS drivers is lagging behind, and many open questions remain about the sequence determinants, composition, regulation and biological relevance of the resulting condensates. Our limited ability to overcome these issues is largely due to the lack of a dedicated LLPS database. Therefore, here we introduce PhaSePro (https://phasepro.elte.hu), an openly accessible, comprehensive, manually curated database of experimentally validated LLPS driver proteins/protein regions. It not only provides a wealth of information on such systems, but improves the standardization of data by introducing novel LLPS-specific controlled vocabularies. PhaSePro can be accessed through an appealing, user-friendly interface and thus has definite potential to become the central resource in this dynamically developing field. Oxford University Press 2020-01-08 2019-10-15 /pmc/articles/PMC7145634/ /pubmed/31612960 http://dx.doi.org/10.1093/nar/gkz848 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Mészáros, Bálint Erdős, Gábor Szabó, Beáta Schád, Éva Tantos, Ágnes Abukhairan, Rawan Horváth, Tamás Murvai, Nikoletta Kovács, Orsolya P Kovács, Márton Tosatto, Silvio C E Tompa, Péter Dosztányi, Zsuzsanna Pancsa, Rita PhaSePro: the database of proteins driving liquid–liquid phase separation |
title | PhaSePro: the database of proteins driving liquid–liquid phase separation |
title_full | PhaSePro: the database of proteins driving liquid–liquid phase separation |
title_fullStr | PhaSePro: the database of proteins driving liquid–liquid phase separation |
title_full_unstemmed | PhaSePro: the database of proteins driving liquid–liquid phase separation |
title_short | PhaSePro: the database of proteins driving liquid–liquid phase separation |
title_sort | phasepro: the database of proteins driving liquid–liquid phase separation |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145634/ https://www.ncbi.nlm.nih.gov/pubmed/31612960 http://dx.doi.org/10.1093/nar/gkz848 |
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