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FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes
BACKGROUND: Fibrosis is a highly dynamic process caused by prolonged injury, deregulation of the normal processes of wound healing, and extensive deposition of extracellular matrix (ECM) proteins. During fibrosis process, multiple genes interact with environmental factors. Over recent decades, tons...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7012261/ https://www.ncbi.nlm.nih.gov/pubmed/32082621 http://dx.doi.org/10.1155/2019/4237285 |
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author | Liu, Jinying Sun, Dezhi Liu, Jiale Xu, Hao Liu, Yuan Li, Yang Diao, Lihong Wang, Xun Wang, Dan Tian, Lei Zhang, Huimin Liu, Zhongyang Ren, Weiquan He, Fuchu Li, Dong Guo, Shuzhen |
author_facet | Liu, Jinying Sun, Dezhi Liu, Jiale Xu, Hao Liu, Yuan Li, Yang Diao, Lihong Wang, Xun Wang, Dan Tian, Lei Zhang, Huimin Liu, Zhongyang Ren, Weiquan He, Fuchu Li, Dong Guo, Shuzhen |
author_sort | Liu, Jinying |
collection | PubMed |
description | BACKGROUND: Fibrosis is a highly dynamic process caused by prolonged injury, deregulation of the normal processes of wound healing, and extensive deposition of extracellular matrix (ECM) proteins. During fibrosis process, multiple genes interact with environmental factors. Over recent decades, tons of fibrosis-related genes have been identified to shed light on the particular clinical manifestations of this complex process. However, the genetics information about fibrosis is dispersed in lots of extensive literature. METHODS: We extracted data from literature abstracts in PubMed by text mining, and manually curated the literature and identified the evidence sentences. RESULTS: We presented FibroAtlas, which included 1,439 well-annotated fibrosis-associated genes. FibroAtlas 1.0 is the first attempt to build a nonredundant and comprehensive catalog of fibrosis-related genes with supporting evidence derived from curated published literature and allows us to have an overview of human fibrosis-related genes. |
format | Online Article Text |
id | pubmed-7012261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-70122612020-02-20 FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes Liu, Jinying Sun, Dezhi Liu, Jiale Xu, Hao Liu, Yuan Li, Yang Diao, Lihong Wang, Xun Wang, Dan Tian, Lei Zhang, Huimin Liu, Zhongyang Ren, Weiquan He, Fuchu Li, Dong Guo, Shuzhen Cardiol Res Pract Research Article BACKGROUND: Fibrosis is a highly dynamic process caused by prolonged injury, deregulation of the normal processes of wound healing, and extensive deposition of extracellular matrix (ECM) proteins. During fibrosis process, multiple genes interact with environmental factors. Over recent decades, tons of fibrosis-related genes have been identified to shed light on the particular clinical manifestations of this complex process. However, the genetics information about fibrosis is dispersed in lots of extensive literature. METHODS: We extracted data from literature abstracts in PubMed by text mining, and manually curated the literature and identified the evidence sentences. RESULTS: We presented FibroAtlas, which included 1,439 well-annotated fibrosis-associated genes. FibroAtlas 1.0 is the first attempt to build a nonredundant and comprehensive catalog of fibrosis-related genes with supporting evidence derived from curated published literature and allows us to have an overview of human fibrosis-related genes. Hindawi 2019-12-30 /pmc/articles/PMC7012261/ /pubmed/32082621 http://dx.doi.org/10.1155/2019/4237285 Text en Copyright © 2019 Jinying Liu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Jinying Sun, Dezhi Liu, Jiale Xu, Hao Liu, Yuan Li, Yang Diao, Lihong Wang, Xun Wang, Dan Tian, Lei Zhang, Huimin Liu, Zhongyang Ren, Weiquan He, Fuchu Li, Dong Guo, Shuzhen FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes |
title | FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes |
title_full | FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes |
title_fullStr | FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes |
title_full_unstemmed | FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes |
title_short | FibroAtlas: A Database for the Exploration of Fibrotic Diseases and Their Genes |
title_sort | fibroatlas: a database for the exploration of fibrotic diseases and their genes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7012261/ https://www.ncbi.nlm.nih.gov/pubmed/32082621 http://dx.doi.org/10.1155/2019/4237285 |
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