Literature DB >> 25985232

Adaptation of the targeted capture Methyl-Seq platform for the mouse genome identifies novel tissue-specific DNA methylation patterns of genes involved in neurodevelopment.

Benjamin Hing1, Enrique Ramos, Patricia Braun, Melissa McKane, Dubravka Jancic, Kellie L K Tamashiro, Richard S Lee, Jacob J Michaelson, Todd E Druley, James B Potash.   

Abstract

Methyl-Seq was recently developed as a targeted approach to assess DNA methylation (DNAm) at a genome-wide level in human. We adapted it for mouse and sought to examine DNAm differences across liver and 2 brain regions: cortex and hippocampus. A custom hybridization array was designed to isolate 99 Mb of CpG islands, shores, shelves, and regulatory elements in the mouse genome. This was followed by bisulfite conversion and sequencing on the Illumina HiSeq2000. The majority of differentially methylated cytosines (DMCs) were present at greater than expected frequency in introns, intergenic regions, near CpG islands, and transcriptional enhancers. Liver-specific enhancers were observed to be methylated in cortex, while cortex specific enhancers were methylated in the liver. Interestingly, commonly shared enhancers were differentially methylated between the liver and cortex. Gene ontology and pathway analysis showed that genes that were hypomethylated in the cortex and hippocampus were enriched for neuronal components and neuronal function. In contrast, genes that were hypomethylated in the liver were enriched for cellular components important for liver function. Bisulfite-pyrosequencing validation of 75 DMCs from 19 different loci showed a correlation of r = 0.87 with Methyl-Seq data. We also identified genes involved in neurodevelopment that were not previously reported to be differentially methylated across brain regions. This platform constitutes a valuable tool for future genome-wide studies involving mouse models of disease.

Entities:  

Keywords:  Apcdd1, Adenomatous Polyposis Coli Down-Regulated 1; ChIP, Chromatin immunoprecipitation; DMCs, Differentially methylated cytosines (DMCs); DMRs, Differentially methylated regions; DNA methylation; DNAm, DNA methylation; FDR, False discovery rate; GFAP, Glial fibrillary acidic protein; GO, Gene ontology; Gb, Gigabases; H3K27ac, Histone 3 lysine 27 acetylation; H3K4me1, Histone marks histone 3 lysine 4 monomethylation; KEGG, Kyoto Encyclopedia of Genes and Genomes; MAP, Mitogen activated protein; Msx1, msh homeobox1; PAVIS, Peak Annotation and Visualization; RV, Range of variation; TFBS, Transcription factor binding sites; UTR, Untranslated regions.; brain; epigenetics; genome-wide; methylation array

Mesh:

Substances:

Year:  2015        PMID: 25985232      PMCID: PMC4622595          DOI: 10.1080/15592294.2015.1045179

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  52 in total

1.  Comparison of methyl-DNA immunoprecipitation (MeDIP) and methyl-CpG binding domain (MBD) protein capture for genome-wide DNA methylation analysis reveal CpG sequence coverage bias.

Authors:  Shalima S Nair; Marcel W Coolen; Clare Stirzaker; Jenny Z Song; Aaron L Statham; Dario Strbenac; Mark D Robinson; Susan J Clark
Journal:  Epigenetics       Date:  2011-01-01       Impact factor: 4.528

Review 2.  DNA methylation and human disease.

Authors:  Keith D Robertson
Journal:  Nat Rev Genet       Date:  2005-08       Impact factor: 53.242

3.  Genome-wide divergence of DNA methylation marks in cerebral and cerebellar cortices.

Authors:  Yurong Xin; Benjamin Chanrion; Meng-Min Liu; Hanga Galfalvy; Ramiro Costa; Boro Ilievski; Gorazd Rosoklija; Victoria Arango; Andrew J Dwork; J John Mann; Benjamin Tycko; Fatemeh Haghighi
Journal:  PLoS One       Date:  2010-06-28       Impact factor: 3.240

4.  Features and trend of loss of promoter-associated CpG islands in the human and mouse genomes.

Authors:  Cizhong Jiang; Leng Han; Bing Su; Wen-Hsiung Li; Zhongming Zhao
Journal:  Mol Biol Evol       Date:  2007-06-24       Impact factor: 16.240

Review 5.  DNA methylation profiling in the clinic: applications and challenges.

Authors:  Holger Heyn; Manel Esteller
Journal:  Nat Rev Genet       Date:  2012-09-04       Impact factor: 53.242

6.  Global epigenomic reconfiguration during mammalian brain development.

Authors:  Ryan Lister; Eran A Mukamel; Joseph R Nery; Mark Urich; Clare A Puddifoot; Nicholas D Johnson; Jacinta Lucero; Yun Huang; Andrew J Dwork; Matthew D Schultz; Miao Yu; Julian Tonti-Filippini; Holger Heyn; Shijun Hu; Joseph C Wu; Anjana Rao; Manel Esteller; Chuan He; Fatemeh G Haghighi; Terrence J Sejnowski; M Margarita Behrens; Joseph R Ecker
Journal:  Science       Date:  2013-07-04       Impact factor: 47.728

7.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

Authors:  Jeremy Goecks; Anton Nekrutenko; James Taylor
Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

8.  Functional DNA methylation differences between tissues, cell types, and across individuals discovered using the M&M algorithm.

Authors:  Bo Zhang; Yan Zhou; Nan Lin; Rebecca F Lowdon; Chibo Hong; Raman P Nagarajan; Jeffrey B Cheng; Daofeng Li; Michael Stevens; Hyung Joo Lee; Xiaoyun Xing; Jia Zhou; Vasavi Sundaram; Ginell Elliott; Junchen Gu; Taoping Shi; Philippe Gascard; Mahvash Sigaroudinia; Thea D Tlsty; Theresa Kadlecek; Arthur Weiss; Henriette O'Geen; Peggy J Farnham; Cécile L Maire; Keith L Ligon; Pamela A F Madden; Angela Tam; Richard Moore; Martin Hirst; Marco A Marra; Baoxue Zhang; Joseph F Costello; Ting Wang
Journal:  Genome Res       Date:  2013-06-26       Impact factor: 9.043

9.  Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse.

Authors:  Subha Madhavan; Yuriy Gusev; Thanemozhi G Natarajan; Lei Song; Krithika Bhuvaneshwar; Robinder Gauba; Abhishek Pandey; Bassem R Haddad; David Goerlitz; Amrita K Cheema; Hartmut Juhl; Bhaskar Kallakury; John L Marshall; Stephen W Byers; Louis M Weiner
Journal:  Front Genet       Date:  2013-11-20       Impact factor: 4.599

10.  In-solution hybrid capture of bisulfite-converted DNA for targeted bisulfite sequencing of 174 ADME genes.

Authors:  Maxim Ivanov; Mart Kals; Marina Kacevska; Andres Metspalu; Magnus Ingelman-Sundberg; Lili Milani
Journal:  Nucleic Acids Res       Date:  2013-01-15       Impact factor: 16.971

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  13 in total

1.  Developmental and environmental influences on physiology and behavior--2014 Alan N. Epstein Research Award.

Authors:  Kellie L K Tamashiro
Journal:  Physiol Behav       Date:  2015-08-17

2.  Genome-wide Methyl-Seq analysis of blood-brain targets of glucocorticoid exposure.

Authors:  Fayaz Seifuddin; Gary Wand; Olivia Cox; Mehdi Pirooznia; Laura Moody; Xiaoju Yang; Jonathan Tai; Gretha Boersma; Kellie Tamashiro; Peter Zandi; Richard Lee
Journal:  Epigenetics       Date:  2017-05-30       Impact factor: 4.528

3.  Chronic social stress induces DNA methylation changes at an evolutionary conserved intergenic region in chromosome X.

Authors:  Benjamin Hing; Patricia Braun; Zachary A Cordner; Erin R Ewald; Laura Moody; Melissa McKane; Virginia L Willour; Kellie L Tamashiro; James B Potash
Journal:  Epigenetics       Date:  2018-08-05       Impact factor: 4.528

Review 4.  Analysis of DNA modifications in aging research.

Authors:  Dustin R Masser; Niran Hadad; Hunter Porter; Michael B Stout; Archana Unnikrishnan; David R Stanford; Willard M Freeman
Journal:  Geroscience       Date:  2018-01-11       Impact factor: 7.713

5.  Reduced DNA methylation of FKBP5 in Cushing's syndrome.

Authors:  Eugenia Resmini; Alicia Santos; Anna Aulinas; Susan M Webb; Yolanda Vives-Gilabert; Olivia Cox; Gary Wand; Richard S Lee
Journal:  Endocrine       Date:  2016-09-23       Impact factor: 3.633

6.  Comparison of Methyl-capture Sequencing vs. Infinium 450K methylation array for methylome analysis in clinical samples.

Authors:  Ai Ling Teh; Hong Pan; Xinyi Lin; Yubin Ives Lim; Chinari Pawan Kumar Patro; Clara Yujing Cheong; Min Gong; Julia L MacIsaac; Chee-Keong Kwoh; Michael J Meaney; Michael S Kobor; Yap-Seng Chong; Peter D Gluckman; Joanna D Holbrook; Neerja Karnani
Journal:  Epigenetics       Date:  2016-01-19       Impact factor: 4.528

7.  Sexually divergent DNA methylation patterns with hippocampal aging.

Authors:  Dustin R Masser; Niran Hadad; Hunter L Porter; Colleen A Mangold; Archana Unnikrishnan; Matthew M Ford; Cory B Giles; Constantin Georgescu; Mikhail G Dozmorov; Jonathan D Wren; Arlan Richardson; David R Stanford; Willard M Freeman
Journal:  Aging Cell       Date:  2017-09-25       Impact factor: 9.304

8.  "Same difference": comprehensive evaluation of four DNA methylation measurement platforms.

Authors:  Thadeous J Kacmarczyk; Mame P Fall; Xihui Zhang; Yuan Xin; Yushan Li; Alicia Alonso; Doron Betel
Journal:  Epigenetics Chromatin       Date:  2018-05-25       Impact factor: 4.954

9.  A Rat Methyl-Seq Platform to Identify Epigenetic Changes Associated with Stress Exposure.

Authors:  Jenny L Carey; Olivia H Cox; Fayaz Seifuddin; Leonard Marque; Kellie L K Tamashiro; Peter P Zandi; Gary S Wand; Richard S Lee
Journal:  J Vis Exp       Date:  2018-10-24       Impact factor: 1.355

Review 10.  DNA methylome perturbations: an epigenetic basis for the emergingly heritable neurodevelopmental abnormalities associated with maternal smoking and maternal nicotine exposure†.

Authors:  Jordan M Buck; Li Yu; Valerie S Knopik; Jerry A Stitzel
Journal:  Biol Reprod       Date:  2021-09-14       Impact factor: 4.161

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