Literature DB >> 10973249

Large-scale human promoter mapping using CpG islands.

I P Ioshikhes1, M Q Zhang.   

Abstract

Vertebrate genomic DNA is generally CpG depleted, possibly because methylation of cytosines at 80% of CpG dinucleotides results in their frequent mutation to thymine, and thus CpG to TpG dinucleotides. There are, however, genomic regions of high G+C content (CpG islands), where the occurrence of CpGs is significantly higher, close to the expected frequency, whereas the methylation concentration is significantly lower than the overall genome. CpG islands are longer than 200 bp and have over 50% of G+C content and CpG frequency, at least 0.6 of that statistically expected. Approximately 50% of mammalian gene promoters are associated with one or more CpG islands. Although biologists often intuitively use CpG islands for 5' gene identification, this has not been rigorously quantified. We have determined the features that discriminate the promoter-associated and non-associated CpG islands. This led to an effective algorithm for large-scale promoter mapping (with 2-kb resolution) with a concentration of false-positive predictions of promoters much lower than previously obtained. Using this algorithm, we correctly discriminated approximately 85% of the CpG islands within an interval (-500 to +1500) around a transcriptional start site (TSS) from those that lie further away from TSSs. We also correctly mapped approximately 93% of the promoters containing CpG islands.

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Year:  2000        PMID: 10973249     DOI: 10.1038/79189

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  93 in total

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Journal:  Genome Res       Date:  2001-11       Impact factor: 9.043

2.  Use of chromatin immunoprecipitation to clone novel E2F target promoters.

Authors:  A S Weinmann; S M Bartley; T Zhang; M Q Zhang; P J Farnham
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3.  A comprehensive analysis of allelic methylation status of CpG islands on human chromosome 21q.

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Journal:  Genome Res       Date:  2004-02       Impact factor: 9.043

Review 4.  Computational approaches to identify promoters and cis-regulatory elements in plant genomes.

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Journal:  Plant Physiol       Date:  2003-07       Impact factor: 8.340

5.  Identification and characterization of putative methylation targets in the MAOA locus using bioinformatic approaches.

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Journal:  Epigenetics       Date:  2010-05-05       Impact factor: 4.528

6.  Begin at the beginning: predicting genes with 5' UTRs.

Authors:  Randall H Brown; Samuel S Gross; Michael R Brent
Journal:  Genome Res       Date:  2005-05       Impact factor: 9.043

7.  A genome-wide analysis of CpG dinucleotides in the human genome distinguishes two distinct classes of promoters.

Authors:  Serge Saxonov; Paul Berg; Douglas L Brutlag
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-23       Impact factor: 11.205

Review 8.  Dynamics of DNA methylation in aging and Alzheimer's disease.

Authors:  Hasan A Irier; Peng Jin
Journal:  DNA Cell Biol       Date:  2012-02-07       Impact factor: 3.311

9.  Generic eukaryotic core promoter prediction using structural features of DNA.

Authors:  Thomas Abeel; Yvan Saeys; Eric Bonnet; Pierre Rouzé; Yves Van de Peer
Journal:  Genome Res       Date:  2007-12-20       Impact factor: 9.043

10.  Predicting aberrant CpG island methylation.

Authors:  F A Feltus; E K Lee; J F Costello; C Plass; P M Vertino
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-30       Impact factor: 11.205

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