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dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq
SUMMARY: Cancer hallmarks rely on its specific transcriptional programs, which are dysregulated by multiple mechanisms, including genomic aberrations in the DNA regulatory regions. Genome-wide association studies have shown many variants are found within putative enhancer elements. To provide insigh...
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/PMC7703781/ https://www.ncbi.nlm.nih.gov/pubmed/31603498 http://dx.doi.org/10.1093/bioinformatics/btz770 |
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author | Huang, Moli Wang, Yunpeng Yang, Manqiu Yan, Jun Yang, Henry Zhuang, Wenzhuo Xu, Ying Koeffler, H Phillip Lin, De-Chen Chen, Xi |
author_facet | Huang, Moli Wang, Yunpeng Yang, Manqiu Yan, Jun Yang, Henry Zhuang, Wenzhuo Xu, Ying Koeffler, H Phillip Lin, De-Chen Chen, Xi |
author_sort | Huang, Moli |
collection | PubMed |
description | SUMMARY: Cancer hallmarks rely on its specific transcriptional programs, which are dysregulated by multiple mechanisms, including genomic aberrations in the DNA regulatory regions. Genome-wide association studies have shown many variants are found within putative enhancer elements. To provide insights into the regulatory role of enhancer-associated non-coding variants in cancer epigenome, and to facilitate the identification of functional non-coding mutations, we present dbInDel, a database where we have comprehensively analyzed enhancer-associated insertion and deletion variants for both human and murine samples using ChIP-Seq data. Moreover, we provide the identification and visualization of upstream TF binding motifs in InDel-containing enhancers. Downstream target genes are also predicted and analyzed in the context of cancer biology. The dbInDel database promotes the investigation of functional contributions of non-coding variants in cancer epigenome. AVAILABILITY AND IMPLEMENTATION: The database, dbInDel, can be accessed from http://enhancer-indel.cam-su.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-7703781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77037812020-12-07 dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq Huang, Moli Wang, Yunpeng Yang, Manqiu Yan, Jun Yang, Henry Zhuang, Wenzhuo Xu, Ying Koeffler, H Phillip Lin, De-Chen Chen, Xi Bioinformatics Applications Note SUMMARY: Cancer hallmarks rely on its specific transcriptional programs, which are dysregulated by multiple mechanisms, including genomic aberrations in the DNA regulatory regions. Genome-wide association studies have shown many variants are found within putative enhancer elements. To provide insights into the regulatory role of enhancer-associated non-coding variants in cancer epigenome, and to facilitate the identification of functional non-coding mutations, we present dbInDel, a database where we have comprehensively analyzed enhancer-associated insertion and deletion variants for both human and murine samples using ChIP-Seq data. Moreover, we provide the identification and visualization of upstream TF binding motifs in InDel-containing enhancers. Downstream target genes are also predicted and analyzed in the context of cancer biology. The dbInDel database promotes the investigation of functional contributions of non-coding variants in cancer epigenome. AVAILABILITY AND IMPLEMENTATION: The database, dbInDel, can be accessed from http://enhancer-indel.cam-su.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-03 2019-10-11 /pmc/articles/PMC7703781/ /pubmed/31603498 http://dx.doi.org/10.1093/bioinformatics/btz770 Text en © The Author(s) 2019. Published by Oxford University Press. 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 | Applications Note Huang, Moli Wang, Yunpeng Yang, Manqiu Yan, Jun Yang, Henry Zhuang, Wenzhuo Xu, Ying Koeffler, H Phillip Lin, De-Chen Chen, Xi dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq |
title | dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq |
title_full | dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq |
title_fullStr | dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq |
title_full_unstemmed | dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq |
title_short | dbInDel: a database of enhancer-associated insertion and deletion variants by analysis of H3K27ac ChIP-Seq |
title_sort | dbindel: a database of enhancer-associated insertion and deletion variants by analysis of h3k27ac chip-seq |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703781/ https://www.ncbi.nlm.nih.gov/pubmed/31603498 http://dx.doi.org/10.1093/bioinformatics/btz770 |
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