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PubMed Central
Article . 2016
License: CC BY
Data sources: PubMed Central
DBLP
Article . 2016
Data sources: DBLP
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CCSI: a database providing chromatin–chromatin spatial interaction information

Authors: Xiaowei Xie; Wenbin Ma; Songyang Zhou; Zhenhua Luo; Junfeng Huang; Zhiming Dai; Yuanyan Xiong;

CCSI: a database providing chromatin–chromatin spatial interaction information

Abstract

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://songyanglab.sysu.edu.cn/ccsi.

Related Organizations
Keywords

Internet, Computational Biology, Saccharomyces cerevisiae, Regulatory Sequences, Nucleic Acid, Polymorphism, Single Nucleotide, Chromatin, Fungal Proteins, Mice, Gene Expression Regulation, Protein Interaction Mapping, Schizosaccharomyces, Animals, Humans, Original Article, Disease, False Positive Reactions, Databases, Nucleic Acid, Databases, Protein, Promoter Regions, Genetic

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
gold