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基因组转录因子结合位点分析工具包:一种用于检测与小鼠和人类直系同源基因中保守的传统基因及微小RNA编码基因相关的转录因子结合位点簇的全基因组资源。

GenomeTrafac: a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs.

作者信息

Jegga Anil G, Chen Jing, Gowrisankar Sivakumar, Deshmukh Mrunal A, Gudivada RangaChandra, Kong Sue, Kaimal Vivek, Aronow Bruce J

机构信息

Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.

出版信息

Nucleic Acids Res. 2007 Jan;35(Database issue):D116-21. doi: 10.1093/nar/gkl1011. Epub 2006 Dec 18.

Abstract

Transcriptional cis-regulatory control regions frequently are found within non-coding DNA segments conserved across multi-species gene orthologs. Adopting a systematic gene-centric pipeline approach, we report here the development of a web-accessible database resource--GenomeTraFac (http://genometrafac.cchmc.org)--that allows genome-wide detection and characterization of compositionally similar cis-clusters that occur in gene orthologs between any two genomes for both microRNA genes as well as conventional RNA-encoding genes. Each ortholog gene pair can be scanned to visualize overall conserved sequence regions, and within these, the relative density of conserved cis-element motif clusters form graph peak structures. The results of these analyses can be mined en masse to identify most frequently represented cis-motifs in a list of genes. The system also provides a method for rapid evaluation and visualization of gene model-consistency between orthologs, and facilitates consideration of the potential impact of sequence variation in conserved non-coding regions to impact complex cis-element structures. Using the mouse and human genomes via the NCBI Reference Sequence database and the Sanger Institute miRBase, the system demonstrated the ability to identify validated transcription factor targets within promoter and distal genomic regulatory regions of both conventional and microRNA genes.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2c8/1781107/067264acf6d7/gkl1011f1.jpg

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