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OncoBase: a platform for decoding regulatory somatic mutations in human cancers
Whole-exome and whole-genome sequencing have revealed millions of somatic mutations associated with different human cancers, and the vast majority of them are located outside of coding sequences, making it challenging to directly interpret their functional effects. With the rapid advances in high-th...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323961/ https://www.ncbi.nlm.nih.gov/pubmed/30445567 http://dx.doi.org/10.1093/nar/gky1139 |
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author | Li, Xianfeng Shi, Leisheng Wang, Yan Zhong, Jianing Zhao, Xiaolu Teng, Huajing Shi, Xiaohui Yang, Haonan Ruan, Shasha Li, MingKun Sun, Zhong Sheng Zhan, Qimin Mao, Fengbiao |
author_facet | Li, Xianfeng Shi, Leisheng Wang, Yan Zhong, Jianing Zhao, Xiaolu Teng, Huajing Shi, Xiaohui Yang, Haonan Ruan, Shasha Li, MingKun Sun, Zhong Sheng Zhan, Qimin Mao, Fengbiao |
author_sort | Li, Xianfeng |
collection | PubMed |
description | Whole-exome and whole-genome sequencing have revealed millions of somatic mutations associated with different human cancers, and the vast majority of them are located outside of coding sequences, making it challenging to directly interpret their functional effects. With the rapid advances in high-throughput sequencing technologies, genome-scale long-range chromatin interactions were detected, and distal target genes of regulatory elements were determined using three-dimensional (3D) chromatin looping. Herein, we present OncoBase (http://www.oncobase.biols.ac.cn/), an integrated database for annotating 81 385 242 somatic mutations in 68 cancer types from more than 120 cancer projects by exploring their roles in distal interactions between target genes and regulatory elements. OncoBase integrates local chromatin signatures, 3D chromatin interactions in different cell types and reconstruction of enhancer-target networks using state-of-the-art algorithms. It employs informative visualization tools to display the integrated local and 3D chromatin signatures and effects of somatic mutations on regulatory elements. Enhancer-promoter interactions estimated from chromatin interactions are integrated into a network diffusion system that quantitatively prioritizes somatic mutations and target genes from a large pool. Thus, OncoBase is a useful resource for the functional annotation of regulatory noncoding regions and systematically benchmarking the regulatory effects of embedded noncoding somatic mutations in human carcinogenesis. |
format | Online Article Text |
id | pubmed-6323961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63239612019-01-10 OncoBase: a platform for decoding regulatory somatic mutations in human cancers Li, Xianfeng Shi, Leisheng Wang, Yan Zhong, Jianing Zhao, Xiaolu Teng, Huajing Shi, Xiaohui Yang, Haonan Ruan, Shasha Li, MingKun Sun, Zhong Sheng Zhan, Qimin Mao, Fengbiao Nucleic Acids Res Database Issue Whole-exome and whole-genome sequencing have revealed millions of somatic mutations associated with different human cancers, and the vast majority of them are located outside of coding sequences, making it challenging to directly interpret their functional effects. With the rapid advances in high-throughput sequencing technologies, genome-scale long-range chromatin interactions were detected, and distal target genes of regulatory elements were determined using three-dimensional (3D) chromatin looping. Herein, we present OncoBase (http://www.oncobase.biols.ac.cn/), an integrated database for annotating 81 385 242 somatic mutations in 68 cancer types from more than 120 cancer projects by exploring their roles in distal interactions between target genes and regulatory elements. OncoBase integrates local chromatin signatures, 3D chromatin interactions in different cell types and reconstruction of enhancer-target networks using state-of-the-art algorithms. It employs informative visualization tools to display the integrated local and 3D chromatin signatures and effects of somatic mutations on regulatory elements. Enhancer-promoter interactions estimated from chromatin interactions are integrated into a network diffusion system that quantitatively prioritizes somatic mutations and target genes from a large pool. Thus, OncoBase is a useful resource for the functional annotation of regulatory noncoding regions and systematically benchmarking the regulatory effects of embedded noncoding somatic mutations in human carcinogenesis. Oxford University Press 2019-01-08 2018-11-16 /pmc/articles/PMC6323961/ /pubmed/30445567 http://dx.doi.org/10.1093/nar/gky1139 Text en © The Author(s) 2018. 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 Li, Xianfeng Shi, Leisheng Wang, Yan Zhong, Jianing Zhao, Xiaolu Teng, Huajing Shi, Xiaohui Yang, Haonan Ruan, Shasha Li, MingKun Sun, Zhong Sheng Zhan, Qimin Mao, Fengbiao OncoBase: a platform for decoding regulatory somatic mutations in human cancers |
title | OncoBase: a platform for decoding regulatory somatic mutations in human cancers |
title_full | OncoBase: a platform for decoding regulatory somatic mutations in human cancers |
title_fullStr | OncoBase: a platform for decoding regulatory somatic mutations in human cancers |
title_full_unstemmed | OncoBase: a platform for decoding regulatory somatic mutations in human cancers |
title_short | OncoBase: a platform for decoding regulatory somatic mutations in human cancers |
title_sort | oncobase: a platform for decoding regulatory somatic mutations in human cancers |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323961/ https://www.ncbi.nlm.nih.gov/pubmed/30445567 http://dx.doi.org/10.1093/nar/gky1139 |
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