Literature DB >> 15215433

CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets.

Suresh Karanam1, Carlos S Moreno.   

Abstract

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 Mann-Whitney 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.

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Year:  2004        PMID: 15215433      PMCID: PMC441491          DOI: 10.1093/nar/gkh353

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  31 in total

1.  Significance analysis of microarrays applied to the ionizing radiation response.

Authors:  V G Tusher; R Tibshirani; G Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-17       Impact factor: 11.205

Review 2.  Discovery and modeling of transcriptional regulatory regions.

Authors:  J W Fickett; W W Wasserman
Journal:  Curr Opin Biotechnol       Date:  2000-02       Impact factor: 9.740

3.  rVista for comparative sequence-based discovery of functional transcription factor binding sites.

Authors:  Gabriela G Loots; Ivan Ovcharenko; Lior Pachter; Inna Dubchak; Edward M Rubin
Journal:  Genome Res       Date:  2002-05       Impact factor: 9.043

4.  Comparative genome analysis delimits a chromosomal domain and identifies key regulatory elements in the alpha globin cluster.

Authors:  J Flint; C Tufarelli; J Peden; K Clark; R J Daniels; R Hardison; W Miller; S Philipsen; K C Tan-Un; T McMorrow; J Frampton; B P Alter; A M Frischauf; D R Higgs
Journal:  Hum Mol Genet       Date:  2001-02-15       Impact factor: 6.150

5.  Human prostate cancer and benign prostatic hyperplasia: molecular dissection by gene expression profiling.

Authors:  J Luo; D J Duggan; Y Chen; J Sauvageot; C M Ewing; M L Bittner; J M Trent; W B Isaacs
Journal:  Cancer Res       Date:  2001-06-15       Impact factor: 12.701

6.  Delineation of prognostic biomarkers in prostate cancer.

Authors:  S M Dhanasekaran; T R Barrette; D Ghosh; R Shah; S Varambally; K Kurachi; K J Pienta; M A Rubin; A M Chinnaiyan
Journal:  Nature       Date:  2001-08-23       Impact factor: 49.962

7.  Human-mouse genome comparisons to locate regulatory sites.

Authors:  W W Wasserman; M Palumbo; W Thompson; J W Fickett; C E Lawrence
Journal:  Nat Genet       Date:  2000-10       Impact factor: 38.330

8.  Gene expression signature of benign prostatic hyperplasia revealed by cDNA microarray analysis.

Authors:  Jun Luo; Thomas Dunn; Charles Ewing; Jurga Sauvageot; Yidong Chen; Jeffrey Trent; William Isaacs
Journal:  Prostate       Date:  2002-05-15       Impact factor: 4.104

9.  HNF3beta and GATA-4 transactivate the liver-enriched homeobox gene, Hex.

Authors:  L A Denson; M H McClure; C W Bogue; S J Karpen; H C Jacobs
Journal:  Gene       Date:  2000-04-04       Impact factor: 3.688

10.  Increased expression of hypoxia inducible factor-1alpha in rat and human prostate cancer.

Authors:  H Zhong; F Agani; A A Baccala; E Laughner; N Rioseco-Camacho; W B Isaacs; J W Simons; G L Semenza
Journal:  Cancer Res       Date:  1998-12-01       Impact factor: 12.701

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  29 in total

1.  A systematic model to predict transcriptional regulatory mechanisms based on overrepresentation of transcription factor binding profiles.

Authors:  Li-Wei Chang; Rakesh Nagarajan; Jeffrey A Magee; Jeffrey Milbrandt; Gary D Stormo
Journal:  Genome Res       Date:  2006-01-31       Impact factor: 9.043

2.  A computational genomics approach to identify cis-regulatory modules from chromatin immunoprecipitation microarray data--a case study using E2F1.

Authors:  Victor X Jin; Alina Rabinovich; Sharon L Squazzo; Roland Green; Peggy J Farnham
Journal:  Genome Res       Date:  2006-10-19       Impact factor: 9.043

3.  Identification of an OCT4 and SRY regulatory module using integrated computational and experimental genomics approaches.

Authors:  Victor X Jin; Henriette O'Geen; Sushma Iyengar; Roland Green; Peggy J Farnham
Journal:  Genome Res       Date:  2007-06       Impact factor: 9.043

4.  Whole-Genome rVISTA: a tool to determine enrichment of transcription factor binding sites in gene promoters from transcriptomic data.

Authors:  Inna Dubchak; Matthew Munoz; Alexandre Poliakov; Nathan Salomonis; Simon Minovitsky; Rolf Bodmer; Alexander C Zambon
Journal:  Bioinformatics       Date:  2013-06-04       Impact factor: 6.937

Review 5.  Synthetic Promoters: Designing the cis Regulatory Modules for Controlled Gene Expression.

Authors:  Jameel Aysha; Muhammad Noman; Fawei Wang; Weican Liu; Yonggang Zhou; Haiyan Li; Xiaowei Li
Journal:  Mol Biotechnol       Date:  2018-08       Impact factor: 2.695

6.  The Sex-determining region Y-box 4 and homeobox C6 transcriptional networks in prostate cancer progression: crosstalk with the Wnt, Notch, and PI3K pathways.

Authors:  Carlos S Moreno
Journal:  Am J Pathol       Date:  2009-12-17       Impact factor: 4.307

7.  Genome-wide promoter analysis of the SOX4 transcriptional network in prostate cancer cells.

Authors:  Christopher D Scharer; Colleen D McCabe; Mohamed Ali-Seyed; Michael F Berger; Martha L Bulyk; Carlos S Moreno
Journal:  Cancer Res       Date:  2009-01-15       Impact factor: 12.701

8.  Computational identification of conserved transcription factor binding sites upstream of genes induced in rat brain by transient focal ischemic stroke.

Authors:  John V K Pulliam; Zhenfeng Xu; Gregory D Ford; Cuimei Liu; Yonggang Li; Kyndra C Stovall; Virginetta S Cannon; Teclemichael Tewolde; Carlos S Moreno; Byron D Ford
Journal:  Brain Res       Date:  2012-12-11       Impact factor: 3.252

9.  Meta-coexpression conservation analysis of microarray data: a "subset" approach provides insight into brain-derived neurotrophic factor regulation.

Authors:  Tamara Aid-Pavlidis; Pavlos Pavlidis; Tõnis Timmusk
Journal:  BMC Genomics       Date:  2009-09-08       Impact factor: 3.969

10.  Genomic promoter analysis predicts functional transcription factor binding.

Authors:  J Sunil Rao; Suresh Karanam; Colleen D McCabe; Carlos S Moreno
Journal:  Adv Bioinformatics       Date:  2008-10-30
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