Literature DB >> 10219082

Isolation of CpG islands from large genomic clones.

S H Cross1, V H Clark, A P Bird.   

Abstract

Positional cloning is a powerful method for the identification of genes. Using genetic and physical mapping methods the genomic region within which a particular gene is located can relatively easily be narrowed down to a comparatively small area contained within cosmid, PAC or BAC clones. It is then a matter of identifying genes within these clones. Here we describe the appli-cation of a technique, which has been successfully used for the bulk purification of CpG islands from whole genomes, to the isolation of CpG island sequences from such clones. As CpG islands overlap transcription units they can be used to isolate full-length cDNAs for associated genes, either by probing cDNA libraries or by searching databases. CpG islands are linked with approximately 60% of human genes and because their isolation is independent of the expression profile of these genes this approach would complement other expression-based methods of gene identification. By applying this technique to a cosmid clone known to contain the PAX6 gene we successfully isolated the CpG island for this gene along with other CpG island-like sequences. Closer examination revealed that an extensive genomic region around the 5'-end of PAX6 is unusual with regard to methylation and GC content. CpG island sequences were also successfully isolated from a PAC clone carrying the MBD1 gene. These included the complete CpG island containing the first exon and regulatory sequences from MBD1.

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Year:  1999        PMID: 10219082      PMCID: PMC148429          DOI: 10.1093/nar/27.10.2099

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


  15 in total

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Journal:  Mol Cell Biol       Date:  2004-04       Impact factor: 4.272

7.  Dragon Gene Start Finder identifies approximate locations of the 5' ends of genes.

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Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

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10.  PCA-HPR: a principle component analysis model for human promoter recognition.

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Journal:  Bioinformation       Date:  2008-06-19
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