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ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes
Non-coding RNAs (ncRNAs) are emerging as key regulators of various biological processes. Although thousands of ncRNAs have been discovered, the transcriptional mechanisms and networks of the majority of ncRNAs have not been fully investigated. In this study, we updated ChIPBase to version 3.0 (https...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825553/ https://www.ncbi.nlm.nih.gov/pubmed/36399495 http://dx.doi.org/10.1093/nar/gkac1067 |
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author | Huang, Junhong Zheng, Wujian Zhang, Ping Lin, Qiao Chen, Zhirong Xuan, Jiajia Liu, Chang Wu, Di Huang, Qiaojuan Zheng, Lingling Liu, Shurong Zhou, Keren Qu, Lianghu Li, Bin Yang, Jianhua |
author_facet | Huang, Junhong Zheng, Wujian Zhang, Ping Lin, Qiao Chen, Zhirong Xuan, Jiajia Liu, Chang Wu, Di Huang, Qiaojuan Zheng, Lingling Liu, Shurong Zhou, Keren Qu, Lianghu Li, Bin Yang, Jianhua |
author_sort | Huang, Junhong |
collection | PubMed |
description | Non-coding RNAs (ncRNAs) are emerging as key regulators of various biological processes. Although thousands of ncRNAs have been discovered, the transcriptional mechanisms and networks of the majority of ncRNAs have not been fully investigated. In this study, we updated ChIPBase to version 3.0 (https://rnasysu.com/chipbase3/) to provide the most comprehensive transcriptional regulation atlas of ncRNAs and protein-coding genes (PCGs). ChIPBase has identified ∼151 187 000 regulatory relationships between ∼171 600 genes and ∼3000 regulators by analyzing ∼55 000 ChIP-seq datasets, which represent a 30-fold expansion. Moreover, we de novo identified ∼29 000 motif matrices of transcription factors. In addition, we constructed a novel ‘Enhancer’ module to predict ∼1 837 200 regulation regions functioning as poised, active or super enhancers under ∼1300 conditions. Importantly, we constructed exhaustive coexpression maps between regulators and their target genes by integrating expression profiles of ∼65 000 normal and ∼15 000 tumor samples. We built a ‘Disease’ module to obtain an atlas of the disease-associated variations in the regulation regions of genes. We also constructed an ‘EpiInter’ module to explore potential interactions between epitranscriptome and epigenome. Finally, we designed ‘Network’ module to provide extensive and gene-centred regulatory networks. ChIPBase will serve as a useful resource to facilitate integrative explorations and expand our understanding of transcriptional regulation. |
format | Online Article Text |
id | pubmed-9825553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98255532023-01-10 ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes Huang, Junhong Zheng, Wujian Zhang, Ping Lin, Qiao Chen, Zhirong Xuan, Jiajia Liu, Chang Wu, Di Huang, Qiaojuan Zheng, Lingling Liu, Shurong Zhou, Keren Qu, Lianghu Li, Bin Yang, Jianhua Nucleic Acids Res Database Issue Non-coding RNAs (ncRNAs) are emerging as key regulators of various biological processes. Although thousands of ncRNAs have been discovered, the transcriptional mechanisms and networks of the majority of ncRNAs have not been fully investigated. In this study, we updated ChIPBase to version 3.0 (https://rnasysu.com/chipbase3/) to provide the most comprehensive transcriptional regulation atlas of ncRNAs and protein-coding genes (PCGs). ChIPBase has identified ∼151 187 000 regulatory relationships between ∼171 600 genes and ∼3000 regulators by analyzing ∼55 000 ChIP-seq datasets, which represent a 30-fold expansion. Moreover, we de novo identified ∼29 000 motif matrices of transcription factors. In addition, we constructed a novel ‘Enhancer’ module to predict ∼1 837 200 regulation regions functioning as poised, active or super enhancers under ∼1300 conditions. Importantly, we constructed exhaustive coexpression maps between regulators and their target genes by integrating expression profiles of ∼65 000 normal and ∼15 000 tumor samples. We built a ‘Disease’ module to obtain an atlas of the disease-associated variations in the regulation regions of genes. We also constructed an ‘EpiInter’ module to explore potential interactions between epitranscriptome and epigenome. Finally, we designed ‘Network’ module to provide extensive and gene-centred regulatory networks. ChIPBase will serve as a useful resource to facilitate integrative explorations and expand our understanding of transcriptional regulation. Oxford University Press 2022-11-18 /pmc/articles/PMC9825553/ /pubmed/36399495 http://dx.doi.org/10.1093/nar/gkac1067 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Database Issue Huang, Junhong Zheng, Wujian Zhang, Ping Lin, Qiao Chen, Zhirong Xuan, Jiajia Liu, Chang Wu, Di Huang, Qiaojuan Zheng, Lingling Liu, Shurong Zhou, Keren Qu, Lianghu Li, Bin Yang, Jianhua ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes |
title | ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes |
title_full | ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes |
title_fullStr | ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes |
title_full_unstemmed | ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes |
title_short | ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes |
title_sort | chipbase v3.0: the encyclopedia of transcriptional regulations of non-coding rnas and protein-coding genes |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825553/ https://www.ncbi.nlm.nih.gov/pubmed/36399495 http://dx.doi.org/10.1093/nar/gkac1067 |
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