Literature DB >> 11544201

cis element/transcription factor analysis (cis/TF): a method for discovering transcription factor/cis element relationships.

K Birnbaum1, P N Benfey, D E Shasha.   

Abstract

We report a simple new algorithm, cis/TF, that uses genomewide expression data and the full genomic sequence to match transcription factors to their binding sites. Most previous computational methods discovered binding sites by clustering genes having similar expression patterns and then identifying over-represented subsequences in the promoter regions of those genes. By contrast, cis/TF asserts that B is a likely binding site of a transcription factor T if the expression pattern of T is correlated to the composite expression patterns of all genes containing B, even when those genes are not mutually correlated. Thus, our method focuses on binding sites rather than genes. The algorithm has successfully identified experimentally-supported transcription factor binding relationships in tests on several data sets from Saccharomyces cerevisiae.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11544201      PMCID: PMC311103          DOI: 10.1101/gr.158301

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  26 in total

1.  TRANSFAC: an integrated system for gene expression regulation.

Authors:  E Wingender; X Chen; R Hehl; H Karas; I Liebich; V Matys; T Meinhardt; M Prüss; I Reuter; F Schacherer
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Ras pathway specificity is determined by the integration of multiple signal-activated and tissue-restricted transcription factors.

Authors:  M S Halfon; A Carmena; S Gisselbrecht; C M Sackerson; F Jiménez; M K Baylies; A M Michelson
Journal:  Cell       Date:  2000-09-29       Impact factor: 41.582

3.  Combinatorial signaling in the specification of unique cell fates.

Authors:  G V Flores; H Duan; H Yan; R Nagaraj; W Fu; Y Zou; M Noll; U Banerjee
Journal:  Cell       Date:  2000-09-29       Impact factor: 41.582

4.  Overlapping activators and repressors delimit transcriptional response to receptor tyrosine kinase signals in the Drosophila eye.

Authors:  C Xu; R C Kauffmann; J Zhang; S Kladny; R W Carthew
Journal:  Cell       Date:  2000-09-29       Impact factor: 41.582

5.  Functional discovery via a compendium of expression profiles.

Authors:  T R Hughes; M J Marton; A R Jones; C J Roberts; R Stoughton; C D Armour; H A Bennett; E Coffey; H Dai; Y D He; M J Kidd; A M King; M R Meyer; D Slade; P Y Lum; S B Stepaniants; D D Shoemaker; D Gachotte; K Chakraburtty; J Simon; M Bard; S H Friend
Journal:  Cell       Date:  2000-07-07       Impact factor: 41.582

6.  Integrating functional genomic information into the Saccharomyces genome database.

Authors:  C A Ball; K Dolinski; S S Dwight; M A Harris; L Issel-Tarver; A Kasarskis; C R Scafe; G Sherlock; G Binkley; H Jin; M Kaloper; S D Orr; M Schroeder; S Weng; Y Zhu; D Botstein; J M Cherry
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

7.  Genomic cis-regulatory logic: experimental and computational analysis of a sea urchin gene.

Authors:  C H Yuh; H Bolouri; E H Davidson
Journal:  Science       Date:  1998-03-20       Impact factor: 47.728

Review 8.  Large-scale gene expression data analysis: a new challenge to computational biologists.

Authors:  M Q Zhang
Journal:  Genome Res       Date:  1999-08       Impact factor: 9.043

9.  Promoter analysis of co-regulated genes in the yeast genome.

Authors:  M Q Zhang
Journal:  Comput Chem       Date:  1999-06-15

10.  Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.

Authors:  P T Spellman; G Sherlock; M Q Zhang; V R Iyer; K Anders; M B Eisen; P O Brown; D Botstein; B Futcher
Journal:  Mol Biol Cell       Date:  1998-12       Impact factor: 4.138

View more
  17 in total

1.  Computational inference of transcriptional regulatory networks from expression profiling and transcription factor binding site identification.

Authors:  Peter M Haverty; Ulla Hansen; Zhiping Weng
Journal:  Nucleic Acids Res       Date:  2004-01-02       Impact factor: 16.971

2.  Reconciling gene expression data with known genome-scale regulatory network structures.

Authors:  Markus J Herrgård; Markus W Covert; Bernhard Ø Palsson
Journal:  Genome Res       Date:  2003-10-14       Impact factor: 9.043

Review 3.  Computational methods to dissect cis-regulatory transcriptional networks.

Authors:  Vibha Rani
Journal:  J Biosci       Date:  2007-12       Impact factor: 1.826

4.  Ab initio identification of putative human transcription factor binding sites by comparative genomics.

Authors:  D Corà; C Herrmann; C Dieterich; F Di Cunto; P Provero; M Caselle
Journal:  BMC Bioinformatics       Date:  2005-05-02       Impact factor: 3.169

5.  Inferring Transcriptional Interactions by the Optimal Integration of ChIP-chip and Knock-out Data.

Authors:  Haoyu Cheng; Lihua Jiang; Maoying Wu; Qi Liu
Journal:  Bioinform Biol Insights       Date:  2009-10-21

6.  Transcription factor binding element detection using functional clustering of mutant expression data.

Authors:  Gengxin Chen; Naoya Hata; Michael Q Zhang
Journal:  Nucleic Acids Res       Date:  2004-04-28       Impact factor: 16.971

7.  Genes Induced by Reovirus Infection Have a Distinct Modular Cis-Regulatory Architecture.

Authors:  R Lapadat; R L Debiasi; G L Johnson; K L Tyler; I Shah
Journal:  Curr Genomics       Date:  2005       Impact factor: 2.236

8.  Machine learning for regulatory analysis and transcription factor target prediction in yeast.

Authors:  Dustin T Holloway; Mark Kon; Charles Delisi
Journal:  Syst Synth Biol       Date:  2007-03

9.  Long-oligomer microarray profiling in Neurospora crassa reveals the transcriptional program underlying biochemical and physiological events of conidial germination.

Authors:  Takao Kasuga; Jeffrey P Townsend; Chaoguang Tian; Luz B Gilbert; Gertrud Mannhaupt; John W Taylor; N Louise Glass
Journal:  Nucleic Acids Res       Date:  2005-11-14       Impact factor: 16.971

10.  A survey of motif discovery methods in an integrated framework.

Authors:  Geir Kjetil Sandve; Finn Drabløs
Journal:  Biol Direct       Date:  2006-04-06       Impact factor: 4.540

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.