Literature DB >> 19561019

A pipeline for the quantitative analysis of CG dinucleotide methylation using mass spectrometry.

Reid F Thompson1, Masako Suzuki, Kevin W Lau, John M Greally.   

Abstract

MOTIVATION: DNA cytosine methylation is an important epigenetic regulator, critical for mammalian development and the control of gene expression. Numerous techniques using either restriction enzyme or affinity-based approaches have been developed to interrogate cytosine methylation status genome-wide, however these assays must be validated by a more quantitative approach, such as MALDI-TOF mass spectrometry of bisulphite-converted DNA (commercialized as Sequenom's EpiTYPER assay using the MassArray system). Here, we present an R package ('MassArray') that assists in assay design and uses the standard Sequenom output file as the input to a pipeline of analyses not available as part of the commercial software. The tools in this package include bisulphite conversion efficiency calculation, sequence polymorphism flagging and visualization tools that combine multiple experimental replicates and create tracks for genome browser viewing.

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Year:  2009        PMID: 19561019      PMCID: PMC2800352          DOI: 10.1093/bioinformatics/btp382

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  19 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

2.  De novo quantitative bisulfite sequencing using the pyrosequencing technology.

Authors:  Jean-Michel Dupont; Jörg Tost; Hélène Jammes; Ivo Glynne Gut
Journal:  Anal Biochem       Date:  2004-10-01       Impact factor: 3.365

3.  DNA rehybridization during PCR: the 'Cot effect' and its consequences.

Authors:  F Mathieu-Daudé; J Welsh; T Vogt; M McClelland
Journal:  Nucleic Acids Res       Date:  1996-06-01       Impact factor: 16.971

4.  Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells.

Authors:  Michael Weber; Jonathan J Davies; David Wittig; Edward J Oakeley; Michael Haase; Wan L Lam; Dirk Schübeler
Journal:  Nat Genet       Date:  2005-07-10       Impact factor: 38.330

5.  Bias caused by template annealing in the amplification of mixtures of 16S rRNA genes by PCR.

Authors:  M T Suzuki; S J Giovannoni
Journal:  Appl Environ Microbiol       Date:  1996-02       Impact factor: 4.792

6.  Quantitative high-throughput analysis of DNA methylation patterns by base-specific cleavage and mass spectrometry.

Authors:  Mathias Ehrich; Matthew R Nelson; Patrick Stanssens; Marc Zabeau; Triantafillos Liloglou; George Xinarianos; Charles R Cantor; John K Field; Dirk van den Boom
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-21       Impact factor: 11.205

7.  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

8.  Bioconductor: open software development for computational biology and bioinformatics.

Authors:  Robert C Gentleman; Vincent J Carey; Douglas M Bates; Ben Bolstad; Marcel Dettling; Sandrine Dudoit; Byron Ellis; Laurent Gautier; Yongchao Ge; Jeff Gentry; Kurt Hornik; Torsten Hothorn; Wolfgang Huber; Stefano Iacus; Rafael Irizarry; Friedrich Leisch; Cheng Li; Martin Maechler; Anthony J Rossini; Gunther Sawitzki; Colin Smith; Gordon Smyth; Luke Tierney; Jean Y H Yang; Jianhua Zhang
Journal:  Genome Biol       Date:  2004-09-15       Impact factor: 13.583

9.  DNA methylation profile of tissue-dependent and differentially methylated regions (T-DMRs) in mouse promoter regions demonstrating tissue-specific gene expression.

Authors:  Shintaro Yagi; Keiji Hirabayashi; Shinya Sato; Wei Li; Yoko Takahashi; Tsutomu Hirakawa; Guoying Wu; Naoko Hattori; Naka Hattori; Jun Ohgane; Satoshi Tanaka; X Shirley Liu; Kunio Shiota
Journal:  Genome Res       Date:  2008-10-29       Impact factor: 9.043

10.  Reduced representation bisulfite sequencing for comparative high-resolution DNA methylation analysis.

Authors:  Alexander Meissner; Andreas Gnirke; George W Bell; Bernard Ramsahoye; Eric S Lander; Rudolf Jaenisch
Journal:  Nucleic Acids Res       Date:  2005-10-13       Impact factor: 16.971

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  42 in total

Review 1.  Epigenetic factors in aging and longevity.

Authors:  Silvia Gravina; Jan Vijg
Journal:  Pflugers Arch       Date:  2009-09-19       Impact factor: 3.657

Review 2.  Analysing and interpreting DNA methylation data.

Authors:  Christoph Bock
Journal:  Nat Rev Genet       Date:  2012-10       Impact factor: 53.242

Review 3.  DNA methylation profiling using HpaII tiny fragment enrichment by ligation-mediated PCR (HELP).

Authors:  Masako Suzuki; John M Greally
Journal:  Methods       Date:  2010-04-29       Impact factor: 3.608

4.  In Utero Exposure to a High-Fat Diet Programs Hepatic Hypermethylation and Gene Dysregulation and Development of Metabolic Syndrome in Male Mice.

Authors:  Yoshinori Seki; Masako Suzuki; Xingyi Guo; Alan Scott Glenn; Patricia M Vuguin; Ariana Fiallo; Quan Du; Yi-An Ko; Yiting Yu; Katalin Susztak; Deyou Zheng; John M Greally; Ellen B Katz; Maureen J Charron
Journal:  Endocrinology       Date:  2017-09-01       Impact factor: 4.736

5.  Hypermethylation at loci sensitive to the prenatal environment is associated with increased incidence of myocardial infarction.

Authors:  Rudolf P Talens; J W Jukema; S Trompet; D Kremer; R G J Westendorp; L H Lumey; N Sattar; Hein Putter; P E Slagboom; B T Heijmans
Journal:  Int J Epidemiol       Date:  2011-11-17       Impact factor: 7.196

6.  Epigenetic therapy overcomes treatment resistance in T cell prolymphocytic leukemia.

Authors:  Zainul S Hasanali; Bikramajit Singh Saroya; August Stuart; Sara Shimko; Juanita Evans; Mithun Vinod Shah; Kamal Sharma; Violetta V Leshchenko; Samir Parekh; Thomas P Loughran; Elliot M Epner
Journal:  Sci Transl Med       Date:  2015-06-24       Impact factor: 17.956

7.  Cytosine methylation dysregulation in neonates following intrauterine growth restriction.

Authors:  Francine Einstein; Reid F Thompson; Tushar D Bhagat; Melissa J Fazzari; Amit Verma; Nir Barzilai; John M Greally
Journal:  PLoS One       Date:  2010-01-26       Impact factor: 3.240

8.  Optimized design and data analysis of tag-based cytosine methylation assays.

Authors:  Masako Suzuki; Qiang Jing; Daniel Lia; Marién Pascual; Andrew McLellan; John M Greally
Journal:  Genome Biol       Date:  2010-04-01       Impact factor: 13.583

9.  Maternal nutritional history modulates the hepatic IGF-IGFBP axis in adult male rat offspring.

Authors:  Timothy Smith; Deborah M Sloboda; Richard Saffery; Eric Joo; Mark H Vickers
Journal:  Endocrine       Date:  2013-08-21       Impact factor: 3.633

10.  DNA hypermethylation of CD3(+) T cells from cord blood of infants exposed to intrauterine growth restriction.

Authors:  Lyda Williams; Yoshinori Seki; Fabien Delahaye; Alex Cheng; Mamta Fuloria; Francine Hughes Einstein; Maureen J Charron
Journal:  Diabetologia       Date:  2016-05-17       Impact factor: 10.122

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