Physiol. Genomics Watch the video to see how APS reaches out to developing nations.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
 QUICK SEARCH:   [advanced]


     


Physiol. Genomics (September 11, 2007). doi:10.1152/physiolgenomics.00085.2006
This Article
Right arrow Full Text (PDF)
Right arrow Supplemental Tables and Figure
Right arrow All Versions of this Article:
31/3/374    most recent
00085.2006v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Shi, W.
Right arrow Articles by Xu, D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Shi, W.
Right arrow Articles by Xu, D.
Submitted on May 10, 2006
Accepted on September 4, 2007

Identifying Cis-Regulatory Elements by Statistical Analysis and Phylogenetic Footprinting and Analysing their Coexistence and Related Gene Ontology

Wei Shi1*, Wanlei Zhou2, and Dakang Xu3

1 Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
2 School of EIT, Deakin University, Melbourne, Victoria, Australia
3 Monash Institute of Medical Research, Monash University, Melbourne, Victoria, Australia

* To whom correspondence should be addressed. E-mail: shi{at}wehi.edu.au.

Discovery of cis-regulatory elements in gene promoters is a highly challenging research issue in computational molecular biology. This paper presents a novel approach to searching putative cis-regulatory elements in human promoters by first finding 8-mer sequences of high statistical significance from gene promoters of humans, mice and drosophila melanogaster respectively, and then identifying the most conserved ones across the three species (phylogenetic footprinting). In this study, a conservation analysis on both closely related species (humans and mice) and distantly related species (humans/mice and drosophila) is conducted not only to examine more candidates but also to improve the prediction accuracy. 124 putative cis-regulatory elements have been yielded and group into 20 clusters. The investigation on the coexistence of these clusters in human gene promoters reveals that SP1, EGR and NRF-1 are the dominant clusters appearing in the combinatorial combination of up to five clusters. Gene Ontology (GO) analysis also shows that many GO categories of transcription factors binding to these cis-regulatory elements match the GO categories of genes whose promoters contain these elements. In comparison with previous researches, the contribution of this study lies not only in the finding of new cis-regulatory elements, but also in its pioneering exploration on the coexistence of discovered elements and the gene ontology relationship between transcription factors and regulated genes. This exploration verifies the putative cis-regulatory elements that have been found from this study, and also gives a new insight on the regulation mechanisms of gene expression.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Visit Other APS Journals Online
Copyright © 2007 by the American Physiological Society.