Literature DB >> 29092933

Integrating DNA Methylation and Hydroxymethylation Data with the Mint Pipeline.

Raymond G Cavalcante1, Snehal Patil1, Yongseok Park2, Laura S Rozek3, Maureen A Sartor4.   

Abstract

DNA methylation (5mC) plays important roles in mammalian development, oncogenesis, treatment response, and responses to the environment. DNA hydroxymethylation (5hmC) is also an informative epigenetic mark with distinct roles in regulation and cancer. Gold-standard, widely used technologies (bisulfite conversion, followed by deep sequencing) cannot distinguish between 5mC and 5hmC. Therefore, additional experiments are required to differentiate the two marks, and in silico methods are needed to analyze, integrate, and interpret these data. We developed the Methylation INTegration (mint) pipeline to support the comprehensive analysis of bisulfite conversion and immunoprecipitation-based methylation and hydroxymethylation assays, with additional steps toward integration, visualization, and interpretation. The pipeline is available as both a command line and a Galaxy graphical user interface tool. Both implementations require minimal configuration while remaining flexible to experiment specific needs. Cancer Res; 77(21); e27-30. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 29092933      PMCID: PMC5678940          DOI: 10.1158/0008-5472.CAN-17-0330

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  15 in total

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3.  Differential methylation analysis for BS-seq data under general experimental design.

Authors:  Yongseok Park; Hao Wu
Journal:  Bioinformatics       Date:  2016-01-27       Impact factor: 6.937

Review 4.  Uncovering the role of 5-hydroxymethylcytosine in the epigenome.

Authors:  Miguel R Branco; Gabriella Ficz; Wolf Reik
Journal:  Nat Rev Genet       Date:  2011-11-15       Impact factor: 53.242

5.  annotatr: genomic regions in context.

Authors:  Raymond G Cavalcante; Maureen A Sartor
Journal:  Bioinformatics       Date:  2017-08-01       Impact factor: 6.937

6.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications.

Authors:  Felix Krueger; Simon R Andrews
Journal:  Bioinformatics       Date:  2011-04-14       Impact factor: 6.937

7.  MultiQC: summarize analysis results for multiple tools and samples in a single report.

Authors:  Philip Ewels; Måns Magnusson; Sverker Lundin; Max Käller
Journal:  Bioinformatics       Date:  2016-06-16       Impact factor: 6.937

8.  DNA hydroxymethylation profiling reveals that WT1 mutations result in loss of TET2 function in acute myeloid leukemia.

Authors:  Raajit Rampal; Altuna Alkalin; Jozef Madzo; Aparna Vasanthakumar; Elodie Pronier; Jay Patel; Yushan Li; Jihae Ahn; Omar Abdel-Wahab; Alan Shih; Chao Lu; Patrick S Ward; Jennifer J Tsai; Todd Hricik; Valeria Tosello; Jacob E Tallman; Xinyang Zhao; Danette Daniels; Qing Dai; Luisa Ciminio; Iannis Aifantis; Chuan He; Francois Fuks; Martin S Tallman; Adolfo Ferrando; Stephen Nimer; Elisabeth Paietta; Craig B Thompson; Jonathan D Licht; Christopher E Mason; Lucy A Godley; Ari Melnick; Maria E Figueroa; Ross L Levine
Journal:  Cell Rep       Date:  2014-12-04       Impact factor: 9.423

Review 9.  Mapping recently identified nucleotide variants in the genome and transcriptome.

Authors:  Chun-Xiao Song; Chengqi Yi; Chuan He
Journal:  Nat Biotechnol       Date:  2012-11       Impact factor: 54.908

10.  methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data.

Authors:  Kamal Kishore; Stefano de Pretis; Ryan Lister; Marco J Morelli; Valerio Bianchi; Bruno Amati; Joseph R Ecker; Mattia Pelizzola
Journal:  BMC Bioinformatics       Date:  2015-09-29       Impact factor: 3.169

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  5 in total

1.  Age-related epigenome-wide DNA methylation and hydroxymethylation in longitudinal mouse blood.

Authors:  Joseph Kochmanski; Elizabeth H Marchlewicz; Raymond G Cavalcante; Maureen A Sartor; Dana C Dolinoy
Journal:  Epigenetics       Date:  2018-08-23       Impact factor: 4.528

Review 2.  Epigenetic tumor heterogeneity in the era of single-cell profiling with nanopore sequencing.

Authors:  Yohannis Wondwosen Ahmed; Berhan Ababaw Alemu; Sisay Addisu Bekele; Solomon Tebeje Gizaw; Muluken Fekadie Zerihun; Endriyas Kelta Wabalo; Maria Degef Teklemariam; Tsehayneh Kelemu Mihrete; Endris Yibru Hanurry; Tensae Gebru Amogne; Assaye Desalegne Gebrehiwot; Tamirat Nida Berga; Ebsitu Abate Haile; Dessiet Oma Edo; Bizuwork Derebew Alemu
Journal:  Clin Epigenetics       Date:  2022-08-27       Impact factor: 7.259

3.  Longitudinal Effects of Developmental Bisphenol A Exposure on Epigenome-Wide DNA Hydroxymethylation at Imprinted Loci in Mouse Blood.

Authors:  Joseph J Kochmanski; Elizabeth H Marchlewicz; Raymond G Cavalcante; Bambarendage P U Perera; Maureen A Sartor; Dana C Dolinoy
Journal:  Environ Health Perspect       Date:  2018-07-23       Impact factor: 9.031

4.  EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis.

Authors:  Sheng-Yao Su; I-Hsuan Lu; Wen-Chih Cheng; Wei-Chun Chung; Pao-Yang Chen; Jan-Ming Ho; Shu-Hwa Chen; Chung-Yen Lin
Journal:  BMC Genomics       Date:  2020-04-02       Impact factor: 3.969

5.  5-Hydroxymethylation highlights the heterogeneity in keratinization and cell junctions in head and neck cancers.

Authors:  Siyu Liu; Marcell Costa de Medeiros; Evan M Fernandez; Katie R Zarins; Raymond G Cavalcante; Tingting Qin; Gregory T Wolf; Maria E Figueroa; Nisha J D'Silva; Laura S Rozek; Maureen A Sartor
Journal:  Clin Epigenetics       Date:  2020-11-17       Impact factor: 6.551

  5 in total

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