Literature DB >> 20616066

High-throughput method for analyzing methylation of CpGs in targeted genomic regions.

Shivani Nautiyal1, Victoria E H Carlton, Yontao Lu, James S Ireland, Diane Flaucher, Martin Moorhead, Joe W Gray, Paul Spellman, Michael Mindrinos, Paul Berg, Malek Faham.   

Abstract

A unique microarray-based method for determining the extent of DNA methylation has been developed. It relies on a selective enrichment of the regions to be assayed by target amplification by capture and ligation (mTACL). The assay is quantitatively accurate, relatively precise, and lends itself to high-throughput determination using nanogram amounts of DNA. The measurements using mTACLs are highly reproducible and in excellent agreement with those obtained by sequencing (r = 0.94). In the present work, the methylation status of >145,000 CpGs from 5,472 promoters in 221 samples was measured. The methylation levels of nearby CpGs are correlated, but the correlation falls off dramatically over several hundred base pairs. In some instances, nearby CpGs have very different levels of methylation. Comparison of normal and tumor samples indicates that in tumors, the promoter regions of genes involved in differentiation and signaling are preferentially hypermethylated, whereas those of housekeeping genes remain hypomethylated. mTACL is a platform for profiling the state of methylation of a large number of CpG in many samples in a cost-effective fashion, and is capable of scaling to much larger numbers of CpGs than those collected here.

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Year:  2010        PMID: 20616066      PMCID: PMC2906552          DOI: 10.1073/pnas.1005173107

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


  27 in total

1.  A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands.

Authors:  M Frommer; L E McDonald; D S Millar; C M Collis; F Watt; G W Grigg; P L Molloy; C L Paul
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-01       Impact factor: 11.205

2.  Accurate multiplex gene synthesis from programmable DNA microchips.

Authors:  Jingdong Tian; Hui Gong; Nijing Sheng; Xiaochuan Zhou; Erdogan Gulari; Xiaolian Gao; George Church
Journal:  Nature       Date:  2004-12-23       Impact factor: 49.962

3.  Profiling DNA methylation patterns using genomic tiling microarrays.

Authors:  Zachary Lippman; Anne-Valérie Gendrel; Vincent Colot; Rob Martienssen
Journal:  Nat Methods       Date:  2005-03       Impact factor: 28.547

4.  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

5.  MethyLight: a high-throughput assay to measure DNA methylation.

Authors:  C A Eads; K D Danenberg; K Kawakami; L B Saltz; C Blake; D Shibata; P V Danenberg; P W Laird
Journal:  Nucleic Acids Res       Date:  2000-04-15       Impact factor: 16.971

6.  MspI, an isoschizomer of hpaII which cleaves both unmethylated and methylated hpaII sites.

Authors:  C Waalwijk; R A Flavell
Journal:  Nucleic Acids Res       Date:  1978-09       Impact factor: 16.971

7.  Genome-wide DNA methylation profiling using Infinium® assay.

Authors:  Marina Bibikova; Jennie Le; Bret Barnes; Shadi Saedinia-Melnyk; Lixin Zhou; Richard Shen; Kevin L Gunderson
Journal:  Epigenomics       Date:  2009-10       Impact factor: 4.778

8.  Methylated-CpG island recovery assay: a new technique for the rapid detection of methylated-CpG islands in cancer.

Authors:  Tibor Rauch; Gerd P Pfeifer
Journal:  Lab Invest       Date:  2005-09       Impact factor: 5.662

9.  Targeted mutation of the DNA methyltransferase gene results in embryonic lethality.

Authors:  E Li; T H Bestor; R Jaenisch
Journal:  Cell       Date:  1992-06-12       Impact factor: 41.582

10.  Methylation profiling of CpG islands in human breast cancer cells.

Authors:  T H Huang; M R Perry; D E Laux
Journal:  Hum Mol Genet       Date:  1999-03       Impact factor: 6.150

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  20 in total

Review 1.  Advances in the profiling of DNA modifications: cytosine methylation and beyond.

Authors:  Nongluk Plongthongkum; Dinh H Diep; Kun Zhang
Journal:  Nat Rev Genet       Date:  2014-08-27       Impact factor: 53.242

2.  DNA methylation profiling in nanochannels.

Authors:  Shuang Fang Lim; Alena Karpusenko; John J Sakon; Joseph A Hook; Tyra A Lamar; Robert Riehn
Journal:  Biomicrofluidics       Date:  2011-07-25       Impact factor: 2.800

3.  Differences of DNA methylation profiles between monozygotic twins' blood samples.

Authors:  Chengtao Li; Shumin Zhao; Na Zhang; Suhua Zhang; Yiping Hou
Journal:  Mol Biol Rep       Date:  2013-05-07       Impact factor: 2.316

4.  Single DNA molecule patterning for high-throughput epigenetic mapping.

Authors:  Aline Cerf; Benjamin R Cipriany; Jaime J Benítez; Harold G Craighead
Journal:  Anal Chem       Date:  2011-10-13       Impact factor: 6.986

5.  Epigenetic regulation of the glucocorticoid receptor promoter 1(7) in adult rats.

Authors:  Simone R Witzmann; Jonathan D Turner; Sophie B Mériaux; Onno C Meijer; Claude P Muller
Journal:  Epigenetics       Date:  2012-09-28       Impact factor: 4.528

6.  Prediction of epigenetically regulated genes in breast cancer cell lines.

Authors:  Leandro A Loss; Anguraj Sadanandam; Steffen Durinck; Shivani Nautiyal; Diane Flaucher; Victoria E H Carlton; Martin Moorhead; Yontao Lu; Joe W Gray; Malek Faham; Paul Spellman; Bahram Parvin
Journal:  BMC Bioinformatics       Date:  2010-06-04       Impact factor: 3.169

Review 7.  Analyzing the cancer methylome through targeted bisulfite sequencing.

Authors:  Eun-Joon Lee; Junfeng Luo; James M Wilson; Huidong Shi
Journal:  Cancer Lett       Date:  2012-11-28       Impact factor: 8.679

8.  Nasal cell DNA methylation, inflammation, lung function and wheezing in children with asthma.

Authors:  Andrea Baccarelli; Franca Rusconi; Valentina Bollati; Dolores Catelan; Gabriele Accetta; Lifang Hou; Fabio Barbone; Pier Alberto Bertazzi; Annibale Biggeri
Journal:  Epigenomics       Date:  2012-02       Impact factor: 4.778

9.  Recursively partitioned mixture model clustering of DNA methylation data using biologically informed correlation structures.

Authors:  Devin C Koestler; Brock C Christensen; Carmen J Marsit; Karl T Kelsey; E Andres Houseman
Journal:  Stat Appl Genet Mol Biol       Date:  2013-03-05

10.  Epigenome-wide ovarian cancer analysis identifies a methylation profile differentiating clear-cell histology with epigenetic silencing of the HERG K+ channel.

Authors:  Mine S Cicek; Devin C Koestler; Brooke L Fridley; Kimberly R Kalli; Sebastian M Armasu; Melissa C Larson; Chen Wang; Stacey J Winham; Robert A Vierkant; David N Rider; Matthew S Block; Brandy Klotzle; Gottfried Konecny; Boris J Winterhoff; Habib Hamidi; Viji Shridhar; Jian-Bing Fan; Daniel W Visscher; Janet E Olson; Lynn C Hartmann; Marina Bibikova; Jeremy Chien; Julie M Cunningham; Ellen L Goode
Journal:  Hum Mol Genet       Date:  2013-04-09       Impact factor: 6.150

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