Literature DB >> 8816247

Cytosine methylation: quantitation by automated genomic sequencing and GENESCAN analysis.

C L Paul1, S J Clark.   

Abstract

Bisulfite treatment and PCR amplification of genomic DNA permits the methylation analysis of any cytosine residue in a target sequence. By cloning and sequencing the PCR product, the methylation of individual molecules can be determined, whereas direct sequencing of the PCR product can provide an average of the methylation status in the population of molecules. Reliable quantitation of cytosine methylation by direct sequencing, however, has not been possible with current methods. In this paper we describe an accurate and innovative protocol to directly quantitate the methylation of any cytosine residue in the target sequence by fluorescence-based automated genomic sequencing. Only the cytosine and thymine residues of bisulfite-treated and amplified genomic DNA are sequenced. The degree of methylation is obtained by direct comparison of the cytosine and thymine signals, which have been labeled with the same fluorescent dyes. GENESCAN analysis is employed to achieve a fast and accurate estimate of methylation at every cytosine in the target sequence. Combining direct bisulfite genomic sequencing and GENESCAN analysis permits the rapid survey of detailed DNA methylation profiles. Using this approach we have found the unexpected result that multicopy plasmid DNA grown in a Dcm host is not always fully methylated as suggested by restriction enzyme data.

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Year:  1996        PMID: 8816247     DOI: 10.2144/96211rr04

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  9 in total

1.  Bisulfite genomic sequencing: systematic investigation of critical experimental parameters.

Authors:  C Grunau; S J Clark; A Rosenthal
Journal:  Nucleic Acids Res       Date:  2001-07-01       Impact factor: 16.971

Review 2.  Principles and challenges of genomewide DNA methylation analysis.

Authors:  Peter W Laird
Journal:  Nat Rev Genet       Date:  2010-03       Impact factor: 53.242

3.  Detection and measurement of PCR bias in quantitative methylation analysis of bisulphite-treated DNA.

Authors:  P M Warnecke; C Stirzaker; J R Melki; D S Millar; C L Paul; S J Clark
Journal:  Nucleic Acids Res       Date:  1997-11-01       Impact factor: 16.971

Review 4.  Identifying 5-methylcytosine and related modifications in DNA genomes.

Authors:  T Rein; M L DePamphilis; H Zorbas
Journal:  Nucleic Acids Res       Date:  1998-05-15       Impact factor: 16.971

5.  Epigenetic transgenerational actions of endocrine disruptors.

Authors:  Michael K Skinner; Mohan Manikkam; Carlos Guerrero-Bosagna
Journal:  Reprod Toxicol       Date:  2010-11-03       Impact factor: 3.143

6.  Hypermethylation of hepatic Gck promoter in ageing rats contributes to diabetogenic potential.

Authors:  M H Jiang; J Fei; M S Lan; Z P Lu; M Liu; W W Fan; X Gao; D R Lu
Journal:  Diabetologia       Date:  2008-05-22       Impact factor: 10.122

7.  Frequent but borderline methylation of p16 (INK4a) and TIMP3 in medulloblastoma and sPNET revealed by quantitative analyses.

Authors:  J Mühlisch; T Bajanowski; C H Rickert; W Roggendorf; G Würthwein; H Jürgens; M C Frühwald
Journal:  J Neurooncol       Date:  2007-01-06       Impact factor: 4.506

8.  Comprehensive profiling of zebrafish hepatic proximal promoter CpG island methylation and its modification during chemical carcinogenesis.

Authors:  Leda Mirbahai; Timothy D Williams; Huiqing Zhan; Zhiyuan Gong; J Kevin Chipman
Journal:  BMC Genomics       Date:  2011-01-04       Impact factor: 3.969

9.  Distinct methylation of the interferon gamma (IFN-gamma) and interleukin 3 (IL-3) genes in newly activated primary CD8+ T lymphocytes: regional IFN-gamma promoter demethylation and mRNA expression are heritable in CD44(high)CD8+ T cells.

Authors:  D R Fitzpatrick; K M Shirley; L E McDonald; H Bielefeldt-Ohmann; G F Kay; A Kelso
Journal:  J Exp Med       Date:  1998-07-06       Impact factor: 14.307

  9 in total

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