CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets
1 Program in Bioinformatics, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA and 2 Department of Pathology and Laboratory Medicine and Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA 30322, USA
* To whom correspondence should be addressed at Whitehead Biomedical Research Building, Room 105A, 615 Michael St., Atlanta, GA 30322, USA. Tel: +1 404 712 2809; Fax: +1 404 727 8538; Email: cmoreno{at}emory.edu
Received January 29, 2004; Revised and Accepted February 23, 2004
The advent of DNA microarray technology and the sequencing of multiple vertebrate genomes has provided a unique opportunity for the integration of comparative genomics with high-throughput gene expression analysis. Here we describe the conserved transcription factor binding site (CONFAC) software that enables the high-throughput identification of conserved transcription factor binding sites (TFBSs) in the regulatory regions of hundreds of genes at a time (http://morenolab.whitehead.emory.edu/cgi-bin/confac/login.pl). The CONFAC software compares non-coding regulatory sequences between human and mouse genomes to enable identification of conserved TFBSs that are significantly enriched in promoters of gene clusters from microarray analyses compared to sets of unchanging control genes using a MannWhitney U-test. Analysis of random gene sets demonstrated that using our approach, over 98% of TFBSs had false positive rates below 5%. As a proof-of-principle, we have validated the CONFAC software using gene sets from four separate microarray studies and identified TFBSs known to be functionally important for regulation of each of the four gene sets.
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
T. Copetti, C. Bertoli, E. Dalla, F. Demarchi, and C. Schneider p65/RelA Modulates BECN1 Transcription and Autophagy Mol. Cell. Biol., May 15, 2009; 29(10): 2594 - 2608. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. D. Scharer, C. D. McCabe, M. Ali-Seyed, M. F. Berger, M. L. Bulyk, and C. S. Moreno Genome-Wide Promoter Analysis of the SOX4 Transcriptional Network in Prostate Cancer Cells Cancer Res., January 15, 2009; 69(2): 709 - 717. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. D. McCabe, D. D. Spyropoulos, D. Martin, and C. S. Moreno Genome-Wide Analysis of the Homeobox C6 Transcriptional Network in Prostate Cancer Cancer Res., March 15, 2008; 68(6): 1988 - 1996. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. N. Singh, L.-S. Wang, and S. Hannenhalli TREMOR a tool for retrieving transcriptional modules by incorporating motif covariance Nucleic Acids Res., December 18, 2007; 35(21): 7360 - 7371. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. X. Jin, H. O'Geen, S. Iyengar, R. Green, and P. J. Farnham Identification of an OCT4 and SRY regulatory module using integrated computational and experimental genomics approaches Genome Res., June 1, 2007; 17(6): 807 - 817. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. B. Jeffery, S. F. Madden, P. A. McGettigan, G. Perriere, A. C. Culhane, and D. G. Higgins Integrating transcription factor binding site information with gene expression datasets Bioinformatics, February 1, 2007; 23(3): 298 - 305. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. X. Jin, A. Rabinovich, S. L. Squazzo, R. Green, and P. J. Farnham A computational genomics approach to identify cis-regulatory modules from chromatin immunoprecipitation microarray data--A case study using E2F1 Genome Res., December 1, 2006; 16(12): 1585 - 1595. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. J. Donaldson and B. Gottgens TFBScluster web server for the identification of mammalian composite regulatory elements. Nucleic Acids Res., July 1, 2006; 34(Web Server issue): W524 - W528. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Liu, S. Ramachandran, M. Ali Seyed, C. D. Scharer, N. Laycock, W. B. Dalton, H. Williams, S. Karanam, M. W. Datta, D. L. Jaye, et al. Sex-determining region y box 4 is a transforming oncogene in human prostate cancer cells. Cancer Res., April 15, 2006; 66(8): 4011 - 4019. [Abstract] [Full Text] [PDF] |
||||
![]() |
L.-W. Chang, R. Nagarajan, J. A. Magee, J. Milbrandt, and G. D. Stormo A systematic model to predict transcriptional regulatory mechanisms based on overrepresentation of transcription factor binding profiles Genome Res., March 1, 2006; 16(3): 405 - 413. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. J. Ho Sui, J. R. Mortimer, D. J. Arenillas, J. Brumm, C. J. Walsh, B. P. Kennedy, and W. W. Wasserman oPOSSUM: identification of over-represented transcription factor binding sites in co-expressed genes Nucleic Acids Res., June 2, 2005; 33(10): 3154 - 3164. [Abstract] [Full Text] [PDF] |
||||




