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FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research

Organ fibrosis represents a vital health threat that substantially contributes to yearly mortality rates. While a considerable amount of research has been conducted on fibrosis, these reports have only focused on specific organs as affected within distinct disorders. Accordingly, results from such s...

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Autores principales: Sun, Yu-Zhe, Hu, Yong-Fei, Zhang, Yan, Wei, Shu-Yi, Yang, Bei-Lei, Xu, Ying-Ping, Rong, Zhi-Li, Wang, Dong, Yang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216539/
https://www.ncbi.nlm.nih.gov/pubmed/35277958
http://dx.doi.org/10.1093/database/baac015
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author Sun, Yu-Zhe
Hu, Yong-Fei
Zhang, Yan
Wei, Shu-Yi
Yang, Bei-Lei
Xu, Ying-Ping
Rong, Zhi-Li
Wang, Dong
Yang, Bin
author_facet Sun, Yu-Zhe
Hu, Yong-Fei
Zhang, Yan
Wei, Shu-Yi
Yang, Bei-Lei
Xu, Ying-Ping
Rong, Zhi-Li
Wang, Dong
Yang, Bin
author_sort Sun, Yu-Zhe
collection PubMed
description Organ fibrosis represents a vital health threat that substantially contributes to yearly mortality rates. While a considerable amount of research has been conducted on fibrosis, these reports have only focused on specific organs as affected within distinct disorders. Accordingly, results from such studies have been unable to provide a comprehensive understanding of the pathological processes involved. Here, we describe the development of FibROAD, an open-access database that integrates evidence from fibrosis-associated disorders as obtained from both the literature and multi-omics data. This resource will greatly assist both researchers and clinicians in the comprehension and treatment of this condition. FibROAD currently involves an assembly of 232 strong evidence-based fibrosis-related genes (FRGs) as garnered from 909 PubMed publications and contains lists of multi-omics data from > 4000 samples including RNA-seq, single-cell RNA-seq, miRNA-seq, ChIP-seq, ATAC-seq MeDIP-seq and MBD-seq as obtained from 17 different organs in 5 species. Results from integrative analyses as obtained using FibROAD have demonstrated that FRGs can be indicators for a wide range of organ fibrosis and reveal potential pro-fibrotic candidate genes for fibrosis research. In conclusion, FibROAD serves as a convenient platform where researchers can acquire integrated evidence and a more comprehensive understanding of fibrosis-related disorders. Database URL  https://www.fibroad.org
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spelling pubmed-92165392022-06-23 FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research Sun, Yu-Zhe Hu, Yong-Fei Zhang, Yan Wei, Shu-Yi Yang, Bei-Lei Xu, Ying-Ping Rong, Zhi-Li Wang, Dong Yang, Bin Database (Oxford) Original Article Organ fibrosis represents a vital health threat that substantially contributes to yearly mortality rates. While a considerable amount of research has been conducted on fibrosis, these reports have only focused on specific organs as affected within distinct disorders. Accordingly, results from such studies have been unable to provide a comprehensive understanding of the pathological processes involved. Here, we describe the development of FibROAD, an open-access database that integrates evidence from fibrosis-associated disorders as obtained from both the literature and multi-omics data. This resource will greatly assist both researchers and clinicians in the comprehension and treatment of this condition. FibROAD currently involves an assembly of 232 strong evidence-based fibrosis-related genes (FRGs) as garnered from 909 PubMed publications and contains lists of multi-omics data from > 4000 samples including RNA-seq, single-cell RNA-seq, miRNA-seq, ChIP-seq, ATAC-seq MeDIP-seq and MBD-seq as obtained from 17 different organs in 5 species. Results from integrative analyses as obtained using FibROAD have demonstrated that FRGs can be indicators for a wide range of organ fibrosis and reveal potential pro-fibrotic candidate genes for fibrosis research. In conclusion, FibROAD serves as a convenient platform where researchers can acquire integrated evidence and a more comprehensive understanding of fibrosis-related disorders. Database URL  https://www.fibroad.org Oxford University Press 2022-03-09 /pmc/articles/PMC9216539/ /pubmed/35277958 http://dx.doi.org/10.1093/database/baac015 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sun, Yu-Zhe
Hu, Yong-Fei
Zhang, Yan
Wei, Shu-Yi
Yang, Bei-Lei
Xu, Ying-Ping
Rong, Zhi-Li
Wang, Dong
Yang, Bin
FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research
title FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research
title_full FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research
title_fullStr FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research
title_full_unstemmed FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research
title_short FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research
title_sort fibroad: a manually curated resource for multi-omics level evidence integration of fibrosis research
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216539/
https://www.ncbi.nlm.nih.gov/pubmed/35277958
http://dx.doi.org/10.1093/database/baac015
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