Literature DB >> 12824368

SiteSeer: Visualisation and analysis of transcription factor binding sites in nucleotide sequences.

Paul E Boardman1, Stephen G Oliver, Simon J Hubbard.   

Abstract

The regulation of gene expression is a fundamental process within every living cell, which allows organisms to manage the precise levels of functional gene products with high sensitivity. It is well established that specific DNA sequences located upstream of the transcriptional start site are important in facilitating the binding of regulatory proteins that control the transcription of the gene. Indeed, microarray-based studies have successfully mined the upstream regions of co-expressed genes and discovered over-represented sequences corresponding to known promoter sites. Here we describe a tool for the visualisation of mapped transcription factor binding sites in the upstream regions of either single or grouped eukaryotic genes, which allows users to examine the positions of known and user-defined sites (http://rocky.bms.umist.ac.uk/SiteSeer/). SiteSeer allows the user to map different sections of the TRANSFAC and SCPD databases (or a set of user-defined sites) onto nucleotide sequences. Additionally, users may restrict the analysis by expectation values for certain DNA words as well as by known binding sites specific to a given organism. We believe this tool will prove particularly valuable for biologists who wish to examine sets of co-expressed or functionally-related genes and those who wish to visualise the positions of promoter sequences and generate displays for publications.

Mesh:

Substances:

Year:  2003        PMID: 12824368      PMCID: PMC168918          DOI: 10.1093/nar/gkg511

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


  12 in total

1.  The KEGG databases at GenomeNet.

Authors:  Minoru Kanehisa; Susumu Goto; Shuichi Kawashima; Akihiro Nakaya
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  PROSPECT improves cis-acting regulatory element prediction by integrating expression profile data with consensus pattern searches.

Authors:  W Fujibuchi; J S Anderson; D Landsman
Journal:  Nucleic Acids Res       Date:  2001-10-01       Impact factor: 16.971

3.  MIPS: a database for genomes and protein sequences.

Authors:  H W Mewes; D Frishman; U Güldener; G Mannhaupt; K Mayer; M Mokrejs; B Morgenstern; M Münsterkötter; S Rudd; B Weil
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 4.  Eukaryotic transcription: an interlaced network of transcription factors and chromatin-modifying machines.

Authors:  J T Kadonaga
Journal:  Cell       Date:  1998-02-06       Impact factor: 41.582

5.  Computer analysis of the entire budding yeast genome for putative targets of the GCN4 transcription factor.

Authors:  O Schuldiner; C Yanover; N Benvenisty
Journal:  Curr Genet       Date:  1998-01       Impact factor: 3.886

6.  Genomic expression programs in the response of yeast cells to environmental changes.

Authors:  A P Gasch; P T Spellman; C M Kao; O Carmel-Harel; M B Eisen; G Storz; D Botstein; P O Brown
Journal:  Mol Biol Cell       Date:  2000-12       Impact factor: 4.138

7.  Candidate regulatory sequence elements for cell cycle-dependent transcription in Saccharomyces cerevisiae.

Authors:  T G Wolfsberg; A E Gabrielian; M J Campbell; R J Cho; J L Spouge; D Landsman
Journal:  Genome Res       Date:  1999-08       Impact factor: 9.043

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.  Extracting regulatory sites from the upstream region of yeast genes by computational analysis of oligonucleotide frequencies.

Authors:  J van Helden; B André; J Collado-Vides
Journal:  J Mol Biol       Date:  1998-09-04       Impact factor: 5.469

10.  TRANSFAC: transcriptional regulation, from patterns to profiles.

Authors:  V Matys; E Fricke; R Geffers; E Gössling; M Haubrock; R Hehl; K Hornischer; D Karas; A E Kel; O V Kel-Margoulis; D-U Kloos; S Land; B Lewicki-Potapov; H Michael; R Münch; I Reuter; S Rotert; H Saxel; M Scheer; S Thiele; E Wingender
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

View more
  6 in total

1.  POBO, transcription factor binding site verification with bootstrapping.

Authors:  Matti Kankainen; Liisa Holm
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  Functional roles for the striatal-enriched transcription factor, Bcl11b, in the control of striatal gene expression and transcriptional dysregulation in Huntington's disease.

Authors:  Paula A Desplats; James R Lambert; Elizabeth A Thomas
Journal:  Neurobiol Dis       Date:  2008-05-22       Impact factor: 5.996

3.  Integration of genetic and genomic methods for identification of genes and gene variants encoding QTLs in the nonhuman primate.

Authors:  Laura A Cox; Jeremy Glenn; Simon Ascher; Shifra Birnbaum; John L VandeBerg
Journal:  Methods       Date:  2009-07-09       Impact factor: 3.608

4.  α-Synuclein induces alterations in adult neurogenesis in Parkinson disease models via p53-mediated repression of Notch1.

Authors:  Paula Desplats; Brian Spencer; Leslie Crews; Pruthul Pathel; Dinorah Morvinski-Friedmann; Kori Kosberg; Scott Roberts; Christina Patrick; Beate Winner; Juergen Winkler; Eliezer Masliah
Journal:  J Biol Chem       Date:  2012-07-25       Impact factor: 5.157

5.  Control of core 2 beta1,6 N-acetylglucosaminyltransferase-I transcription by Sp1 in lymphocytes and epithelial cells.

Authors:  V Rebecca Falkenberg; Nevis Fregien
Journal:  Glycoconj J       Date:  2007-05-26       Impact factor: 2.916

6.  FAST DB: a website resource for the study of the expression regulation of human gene products.

Authors:  Pierre de la Grange; Martin Dutertre; Natalia Martin; Didier Auboeuf
Journal:  Nucleic Acids Res       Date:  2005-07-28       Impact factor: 16.971

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.