Literature DB >> 16211068

Discovery of regulatory elements in vertebrates through comparative genomics.

Amol Prakash1, Martin Tompa.   

Abstract

We have analyzed issues of reliability in studies in which comparative genomic approaches have been applied to the discovery of regulatory elements at a genome-wide level in vertebrates. We point out some potential problems with such studies, including difficulties in accurately identifying orthologous promoter regions. Many of these subtle analytical problems have become apparent only when studying the more complex vertebrate genomes. By determining motif reliability, we compared existing tools when applied to the discovery of vertebrate regulatory elements. We then used a statistical clustering method to produce a computational catalog of high quality putative regulatory elements from vertebrates, some of which are widely conserved among vertebrates and many of which are novel regulatory elements. The results provide a glimpse into the wealth of information that comparative genomics can yield and suggest the need for further improvement of genome-wide comparative computational techniques.

Mesh:

Year:  2005        PMID: 16211068     DOI: 10.1038/nbt1140

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  28 in total

1.  Discovering transcriptional regulatory regions in Drosophila by a nonalignment method for phylogenetic footprinting.

Authors:  Alona Sosinsky; Barry Honig; Richard S Mann; Andrea Califano
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-29       Impact factor: 11.205

2.  Cross-species de novo identification of cis-regulatory modules with GibbsModule: application to gene regulation in embryonic stem cells.

Authors:  Dan Xie; Jun Cai; Na-Yu Chia; Huck H Ng; Sheng Zhong
Journal:  Genome Res       Date:  2008-05-15       Impact factor: 9.043

3.  Finding and comparing syntenic regions among Arabidopsis and the outgroups papaya, poplar, and grape: CoGe with rosids.

Authors:  Eric Lyons; Brent Pedersen; Josh Kane; Maqsudul Alam; Ray Ming; Haibao Tang; Xiyin Wang; John Bowers; Andrew Paterson; Damon Lisch; Michael Freeling
Journal:  Plant Physiol       Date:  2008-10-24       Impact factor: 8.340

4.  Predicting DNA-binding specificities of eukaryotic transcription factors.

Authors:  Adrian Schröder; Johannes Eichner; Jochen Supper; Jonas Eichner; Dierk Wanke; Carsten Henneges; Andreas Zell
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

5.  Growth hormone regulation of insulin-like growth factor-I gene expression may be mediated by multiple distal signal transducer and activator of transcription 5 binding sites.

Authors:  Satyanaryana Eleswarapu; Zhiliang Gu; Honglin Jiang
Journal:  Endocrinology       Date:  2008-02-14       Impact factor: 4.736

6.  Dynamic in vivo binding of STAT5 to growth hormone-regulated genes in intact rat liver. Sex-specific binding at low- but not high-affinity STAT5 sites.

Authors:  Ekaterina V Laz; Aarathi Sugathan; David J Waxman
Journal:  Mol Endocrinol       Date:  2009-05-07

7.  IMAGE: a new tool for the prediction of transcription factor binding sites.

Authors:  R Casilli; A Marongiu; S Melchionna; P Palazzari; R Paparcone; V Rosato
Journal:  Bioinform Biol Insights       Date:  2008-10-03

8.  MGcV: the microbial genomic context viewer for comparative genome analysis.

Authors:  Lex Overmars; Robert Kerkhoven; Roland J Siezen; Christof Francke
Journal:  BMC Genomics       Date:  2013-04-01       Impact factor: 3.969

9.  Evolutionary Conserved Motif Finder (ECMFinder) for genome-wide identification of clustered YY1- and CTCF-binding sites.

Authors:  Keunsoo Kang; Jae Hoon Chung; Joomyeong Kim
Journal:  Nucleic Acids Res       Date:  2009-02-10       Impact factor: 16.971

10.  Genome-wide prediction of transcription factor binding sites using an integrated model.

Authors:  Kyoung-Jae Won; Bing Ren; Wei Wang
Journal:  Genome Biol       Date:  2010-01-22       Impact factor: 13.583

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