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LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro
Liquid-liquid phase separation (LLPS) leads to a conversion of homogeneous solution into a dense phase that often resembles liquid droplets, and a dilute phase. An increasing number of investigations have shown that biomolecular condensates formed by LLPS play important roles in both physiology and...
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/PMC6943074/ https://www.ncbi.nlm.nih.gov/pubmed/31906602 http://dx.doi.org/10.1093/nar/gkz778 |
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author | Li, Qian Peng, Xiaojun Li, Yuanqing Tang, Wenqin Zhu, Jia’an Huang, Jing Qi, Yifei Zhang, Zhuqing |
author_facet | Li, Qian Peng, Xiaojun Li, Yuanqing Tang, Wenqin Zhu, Jia’an Huang, Jing Qi, Yifei Zhang, Zhuqing |
author_sort | Li, Qian |
collection | PubMed |
description | Liquid-liquid phase separation (LLPS) leads to a conversion of homogeneous solution into a dense phase that often resembles liquid droplets, and a dilute phase. An increasing number of investigations have shown that biomolecular condensates formed by LLPS play important roles in both physiology and pathology. It has been suggested the phase behavior of proteins would be not only determined by sequences, but controlled by micro-environmental conditions. Here, we introduce LLPSDB (http://bio-comp.ucas.ac.cn/llpsdb or http://bio-comp.org.cn/llpsdb), a web-accessible database providing comprehensive, carefully curated collection of proteins involved in LLPS as well as corresponding experimental conditions in vitro from published literatures. The current release of LLPSDB incorporates 1182 entries with 273 independent proteins and 2394 specific conditions. The database provides a variety of data including biomolecular information (protein sequence, protein modification, nucleic acid, etc.), specific phase separation information (experimental conditions, phase behavior description, etc.) and comprehensive annotations. To our knowledge, LLPSDB is the first available database designed for LLPS related proteins specifically. It offers plenty of valuable resources for exploring the relationship between protein sequence and phase behavior, and will enhance the development of phase separation prediction methods, which may further provide more insights into a comprehensive understanding of LLPS in cellular function and related diseases. |
format | Online Article Text |
id | pubmed-6943074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69430742020-01-08 LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro Li, Qian Peng, Xiaojun Li, Yuanqing Tang, Wenqin Zhu, Jia’an Huang, Jing Qi, Yifei Zhang, Zhuqing Nucleic Acids Res Database Issue Liquid-liquid phase separation (LLPS) leads to a conversion of homogeneous solution into a dense phase that often resembles liquid droplets, and a dilute phase. An increasing number of investigations have shown that biomolecular condensates formed by LLPS play important roles in both physiology and pathology. It has been suggested the phase behavior of proteins would be not only determined by sequences, but controlled by micro-environmental conditions. Here, we introduce LLPSDB (http://bio-comp.ucas.ac.cn/llpsdb or http://bio-comp.org.cn/llpsdb), a web-accessible database providing comprehensive, carefully curated collection of proteins involved in LLPS as well as corresponding experimental conditions in vitro from published literatures. The current release of LLPSDB incorporates 1182 entries with 273 independent proteins and 2394 specific conditions. The database provides a variety of data including biomolecular information (protein sequence, protein modification, nucleic acid, etc.), specific phase separation information (experimental conditions, phase behavior description, etc.) and comprehensive annotations. To our knowledge, LLPSDB is the first available database designed for LLPS related proteins specifically. It offers plenty of valuable resources for exploring the relationship between protein sequence and phase behavior, and will enhance the development of phase separation prediction methods, which may further provide more insights into a comprehensive understanding of LLPS in cellular function and related diseases. Oxford University Press 2020-01-08 2019-09-06 /pmc/articles/PMC6943074/ /pubmed/31906602 http://dx.doi.org/10.1093/nar/gkz778 Text en © The Author(s) 2019. 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 | Database Issue Li, Qian Peng, Xiaojun Li, Yuanqing Tang, Wenqin Zhu, Jia’an Huang, Jing Qi, Yifei Zhang, Zhuqing LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro |
title | LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro |
title_full | LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro |
title_fullStr | LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro |
title_full_unstemmed | LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro |
title_short | LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro |
title_sort | llpsdb: a database of proteins undergoing liquid–liquid phase separation in vitro |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943074/ https://www.ncbi.nlm.nih.gov/pubmed/31906602 http://dx.doi.org/10.1093/nar/gkz778 |
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