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CCSI: a database providing chromatin–chromatin spatial interaction information

Distal regulatory elements have been shown to regulate gene transcription through spatial interactions, and single nucleotide polymorphisms (SNPs) are linked with distal gene expression by spatial proximity, which helps to explain the causal role of disease-associated SNPs in non-coding region. Ther...

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Autores principales: Xie, Xiaowei, Ma, Wenbin, Songyang, Zhou, Luo, Zhenhua, Huang, Junfeng, Dai, Zhiming, Xiong, Yuanyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750547/
https://www.ncbi.nlm.nih.gov/pubmed/26868054
http://dx.doi.org/10.1093/database/bav124
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author Xie, Xiaowei
Ma, Wenbin
Songyang, Zhou
Luo, Zhenhua
Huang, Junfeng
Dai, Zhiming
Xiong, Yuanyan
author_facet Xie, Xiaowei
Ma, Wenbin
Songyang, Zhou
Luo, Zhenhua
Huang, Junfeng
Dai, Zhiming
Xiong, Yuanyan
author_sort Xie, Xiaowei
collection PubMed
description Distal regulatory elements have been shown to regulate gene transcription through spatial interactions, and single nucleotide polymorphisms (SNPs) are linked with distal gene expression by spatial proximity, which helps to explain the causal role of disease-associated SNPs in non-coding region. Therefore, studies on spatial interactions between chromatin have created a new avenue for elucidating the mechanism of transcriptional regulation in disease pathogenesis. Recently, a growing number of chromatin interactions have been revealed by means of 3C, 4C, 5C, ChIA-PET and Hi-C technologies. To interpret and utilize these interactions, we constructed chromatin–chromatin spatial interaction (CCSI) database by integrating and annotating 91 sets of chromatin interaction data derived from published literature, UCSC database and NCBI GEO database, resulting in a total of 3 017 962 pairwise interactions (false discovery rate < 0.05), covering human, mouse and yeast. A web interface has been designed to provide access to the chromatin interactions. The main features of CCSI are (i) showing chromatin interactions and corresponding genes, enhancers and SNPs within the regions in the search page; (ii) offering complete interaction datasets, enhancer and SNP information in the download page; and (iii) providing analysis pipeline for the annotation of interaction data. In conclusion, CCSI will facilitate exploring transcriptional regulatory mechanism in disease pathogenesis associated with spatial interactions among genes, regulatory regions and SNPs. Database URL: http://120.79.23.67/ccsi/search.php
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spelling pubmed-47505472016-02-12 CCSI: a database providing chromatin–chromatin spatial interaction information Xie, Xiaowei Ma, Wenbin Songyang, Zhou Luo, Zhenhua Huang, Junfeng Dai, Zhiming Xiong, Yuanyan Database (Oxford) Original Article Distal regulatory elements have been shown to regulate gene transcription through spatial interactions, and single nucleotide polymorphisms (SNPs) are linked with distal gene expression by spatial proximity, which helps to explain the causal role of disease-associated SNPs in non-coding region. Therefore, studies on spatial interactions between chromatin have created a new avenue for elucidating the mechanism of transcriptional regulation in disease pathogenesis. Recently, a growing number of chromatin interactions have been revealed by means of 3C, 4C, 5C, ChIA-PET and Hi-C technologies. To interpret and utilize these interactions, we constructed chromatin–chromatin spatial interaction (CCSI) database by integrating and annotating 91 sets of chromatin interaction data derived from published literature, UCSC database and NCBI GEO database, resulting in a total of 3 017 962 pairwise interactions (false discovery rate < 0.05), covering human, mouse and yeast. A web interface has been designed to provide access to the chromatin interactions. The main features of CCSI are (i) showing chromatin interactions and corresponding genes, enhancers and SNPs within the regions in the search page; (ii) offering complete interaction datasets, enhancer and SNP information in the download page; and (iii) providing analysis pipeline for the annotation of interaction data. In conclusion, CCSI will facilitate exploring transcriptional regulatory mechanism in disease pathogenesis associated with spatial interactions among genes, regulatory regions and SNPs. Database URL: http://120.79.23.67/ccsi/search.php Oxford University Press 2016-02-11 /pmc/articles/PMC4750547/ /pubmed/26868054 http://dx.doi.org/10.1093/database/bav124 Text en © The Author(s) 2016. Published by Oxford University Press. 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 Original Article
Xie, Xiaowei
Ma, Wenbin
Songyang, Zhou
Luo, Zhenhua
Huang, Junfeng
Dai, Zhiming
Xiong, Yuanyan
CCSI: a database providing chromatin–chromatin spatial interaction information
title CCSI: a database providing chromatin–chromatin spatial interaction information
title_full CCSI: a database providing chromatin–chromatin spatial interaction information
title_fullStr CCSI: a database providing chromatin–chromatin spatial interaction information
title_full_unstemmed CCSI: a database providing chromatin–chromatin spatial interaction information
title_short CCSI: a database providing chromatin–chromatin spatial interaction information
title_sort ccsi: a database providing chromatin–chromatin spatial interaction information
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750547/
https://www.ncbi.nlm.nih.gov/pubmed/26868054
http://dx.doi.org/10.1093/database/bav124
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