Literature DB >> 17535887

Identifying pattern-defined regulatory islands in mammalian genomes.

Tom H Cheung1, Kristen K B Barthel, Yin Lam Kwan, Xuedong Liu.   

Abstract

Identifying cis-regulatory regions in mammalian genomes is a key challenge toward understanding transcriptional regulation. However, identification and functional characterization of those regulatory elements governing differential gene expression has been hampered by the limited understanding of their organization and locations in genomes. We hypothesized that genes that are conserved across species will also display conservation at the level of their transcriptional regulation and that this will be reflected in the organization of cis-elements mediating this regulation. Using a computational approach, clusters of transcription factor binding sites that are absolutely conserved in order and in spacing across human, rat, and mouse genomes were identified. We term these regions pattern-defined regulatory islands (PRIs). We discovered that these sequences are frequently active sites of transcriptional regulation. These PRIs occur in approximately 1.1% of the half-billion base pairs covered in the search and are located mainly in noncoding regions of the genome. We show that the premise of PRIs can be used to identify previously known and novel cis-regulatory regions controlling genes regulated by myogenic differentiation. Thus, PRIs may represent a fundamental property of the architecture of cis-regulatory elements in mammalian genomes, and this feature can be exploited to pinpoint critical transcriptional regulatory elements governing cell type-specific gene expression.

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Year:  2007        PMID: 17535887      PMCID: PMC1891267          DOI: 10.1073/pnas.0704028104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  34 in total

1.  An initial blueprint for myogenic differentiation.

Authors:  Alexandre Blais; Mary Tsikitis; Diego Acosta-Alvear; Roded Sharan; Yuval Kluger; Brian David Dynlacht
Journal:  Genes Dev       Date:  2005-02-10       Impact factor: 11.361

2.  Computational identification of regulatory DNAs underlying animal development.

Authors:  Dmitri Papatsenko; Michael Levine
Journal:  Nat Methods       Date:  2005-07       Impact factor: 28.547

3.  Computational screening of conserved genomic DNA in search of functional noncoding elements.

Authors:  Gill Bejerano; Adam C Siepel; W James Kent; David Haussler
Journal:  Nat Methods       Date:  2005-07       Impact factor: 28.547

4.  Genome-wide prediction of mammalian enhancers based on analysis of transcription-factor binding affinity.

Authors:  Outi Hallikas; Kimmo Palin; Natalia Sinjushina; Reetta Rautiainen; Juha Partanen; Esko Ukkonen; Jussi Taipale
Journal:  Cell       Date:  2006-01-13       Impact factor: 41.582

5.  Slug is a novel downstream target of MyoD. Temporal profiling in muscle regeneration.

Authors:  Po Zhao; Simona Iezzi; Ethan Carver; Devin Dressman; Thomas Gridley; Vittorio Sartorelli; Eric P Hoffman
Journal:  J Biol Chem       Date:  2002-05-21       Impact factor: 5.157

6.  hMEF2C gene encodes skeletal muscle- and brain-specific transcription factors.

Authors:  J C McDermott; M C Cardoso; Y T Yu; V Andres; D Leifer; D Krainc; S A Lipton; B Nadal-Ginard
Journal:  Mol Cell Biol       Date:  1993-04       Impact factor: 4.272

7.  Analysis of the myogenin promoter reveals an indirect pathway for positive autoregulation mediated by the muscle-specific enhancer factor MEF-2.

Authors:  D G Edmondson; T C Cheng; P Cserjesi; T Chakraborty; E N Olson
Journal:  Mol Cell Biol       Date:  1992-09       Impact factor: 4.272

Review 8.  Combinatorial control of muscle development by basic helix-loop-helix and MADS-box transcription factors.

Authors:  J D Molkentin; E N Olson
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-03       Impact factor: 11.205

9.  Physical interaction between the mitogen-responsive serum response factor and myogenic basic-helix-loop-helix proteins.

Authors:  R Groisman; H Masutani; M P Leibovitch; P Robin; I Soudant; D Trouche; A Harel-Bellan
Journal:  J Biol Chem       Date:  1996-03-01       Impact factor: 5.157

Review 10.  Long-range control of gene expression: emerging mechanisms and disruption in disease.

Authors:  Dirk A Kleinjan; Veronica van Heyningen
Journal:  Am J Hum Genet       Date:  2004-11-17       Impact factor: 11.025

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  5 in total

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Authors:  Matthew L Bell; Massimo Buvoli; Leslie A Leinwand
Journal:  Mol Cell Biol       Date:  2010-02-12       Impact factor: 4.272

2.  Smad2 and PEA3 cooperatively regulate transcription of response gene to complement 32 in TGF-β-induced smooth muscle cell differentiation of neural crest cells.

Authors:  Wen-Yan Huang; Weibing Xie; Xia Guo; Fengmin Li; Pedro A Jose; Shi-You Chen
Journal:  Am J Physiol Cell Physiol       Date:  2011-05-25       Impact factor: 4.249

3.  miR-206 enforces a slow muscle phenotype.

Authors:  Kristen K Bjorkman; Martin G Guess; Brooke C Harrison; Michael M Polmear; Angela K Peter; Leslie A Leinwand
Journal:  J Cell Sci       Date:  2020-08-11       Impact factor: 5.285

4.  A transcriptional enhancer from the coding region of ADAMTS5.

Authors:  Kristen K B Barthel; Xuedong Liu
Journal:  PLoS One       Date:  2008-05-14       Impact factor: 3.240

5.  A genome-wide assessment of conserved SNP alleles reveals a panel of regulatory SNPs relevant to the peripheral nerve.

Authors:  William D Law; Elizabeth A Fogarty; Aimée Vester; Anthony Antonellis
Journal:  BMC Genomics       Date:  2018-05-02       Impact factor: 3.969

  5 in total

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