Literature DB >> 26635396

Systematic identification and annotation of human methylation marks based on bisulfite sequencing methylomes reveals distinct roles of cell type-specific hypomethylation in the regulation of cell identity genes.

Hongbo Liu1, Xiaojuan Liu2, Shumei Zhang3, Jie Lv4, Song Li3, Shipeng Shang3, Shanshan Jia3, Yanjun Wei3, Fang Wang3, Jianzhong Su3, Qiong Wu4, Yan Zhang5.   

Abstract

DNA methylation is a key epigenetic mark that is critical for gene regulation in multicellular eukaryotes. Although various human cell types may have the same genome, these cells have different methylomes. The systematic identification and characterization of methylation marks across cell types are crucial to understand the complex regulatory network for cell fate determination. In this study, we proposed an entropy-based framework termed SMART to integrate the whole genome bisulfite sequencing methylomes across 42 human tissues/cells and identified 757 887 genome segments. Nearly 75% of the segments showed uniform methylation across all cell types. From the remaining 25% of the segments, we identified cell type-specific hypo/hypermethylation marks that were specifically hypo/hypermethylated in a minority of cell types using a statistical approach and presented an atlas of the human methylation marks. Further analysis revealed that the cell type-specific hypomethylation marks were enriched through H3K27ac and transcription factor binding sites in cell type-specific manner. In particular, we observed that the cell type-specific hypomethylation marks are associated with the cell type-specific super-enhancers that drive the expression of cell identity genes. This framework provides a complementary, functional annotation of the human genome and helps to elucidate the critical features and functions of cell type-specific hypomethylation.
© The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2015        PMID: 26635396      PMCID: PMC4705665          DOI: 10.1093/nar/gkv1332

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  71 in total

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2.  Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses.

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Journal:  Genes Dev       Date:  2011-09-02       Impact factor: 11.361

Review 3.  CpG islands and the regulation of transcription.

Authors:  Aimée M Deaton; Adrian Bird
Journal:  Genes Dev       Date:  2011-05-15       Impact factor: 11.361

4.  GREAT improves functional interpretation of cis-regulatory regions.

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Journal:  Nat Biotechnol       Date:  2010-05-02       Impact factor: 54.908

5.  DNA methylation status predicts cell type-specific enhancer activity.

Authors:  Malgorzata Wiench; Sam John; Songjoon Baek; Thomas A Johnson; Myong-Hee Sung; Thelma Escobar; Catherine A Simmons; Kenneth H Pearce; Simon C Biddie; Pete J Sabo; Robert E Thurman; John A Stamatoyannopoulos; Gordon L Hager
Journal:  EMBO J       Date:  2011-06-24       Impact factor: 11.598

Review 6.  Mapping human epigenomes.

Authors:  Chloe M Rivera; Bing Ren
Journal:  Cell       Date:  2013-09-26       Impact factor: 41.582

7.  Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities.

Authors:  Sven Heinz; Christopher Benner; Nathanael Spann; Eric Bertolino; Yin C Lin; Peter Laslo; Jason X Cheng; Cornelis Murre; Harinder Singh; Christopher K Glass
Journal:  Mol Cell       Date:  2010-05-28       Impact factor: 17.970

8.  QDMR: a quantitative method for identification of differentially methylated regions by entropy.

Authors:  Yan Zhang; Hongbo Liu; Jie Lv; Xue Xiao; Jiang Zhu; Xiaojuan Liu; Jianzhong Su; Xia Li; Qiong Wu; Fang Wang; Ying Cui
Journal:  Nucleic Acids Res       Date:  2011-02-08       Impact factor: 16.971

9.  Large conserved domains of low DNA methylation maintained by Dnmt3a.

Authors:  Mira Jeong; Deqiang Sun; Min Luo; Yun Huang; Grant A Challen; Benjamin Rodriguez; Xiaotian Zhang; Lukas Chavez; Hui Wang; Rebecca Hannah; Sang-Bae Kim; Liubin Yang; Myunggon Ko; Rui Chen; Berthold Göttgens; Ju-Seog Lee; Preethi Gunaratne; Lucy A Godley; Gretchen J Darlington; Anjana Rao; Wei Li; Margaret A Goodell
Journal:  Nat Genet       Date:  2013-11-24       Impact factor: 38.330

10.  Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development.

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Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

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  21 in total

Review 1.  A survey of the approaches for identifying differential methylation using bisulfite sequencing data.

Authors:  Adib Shafi; Cristina Mitrea; Tin Nguyen; Sorin Draghici
Journal:  Brief Bioinform       Date:  2018-09-28       Impact factor: 11.622

2.  Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type composition.

Authors:  Kristina Gervin; Christian Magnus Page; Hans Christian D Aass; Michelle A Jansen; Heidi Elisabeth Fjeldstad; Bettina Kulle Andreassen; Liesbeth Duijts; Joyce B van Meurs; Menno C van Zelm; Vincent W Jaddoe; Hedvig Nordeng; Gunn Peggy Knudsen; Per Magnus; Wenche Nystad; Anne Cathrine Staff; Janine F Felix; Robert Lyle
Journal:  Epigenetics       Date:  2016-09       Impact factor: 4.528

3.  Placental lipoprotein lipase DNA methylation alterations are associated with gestational diabetes and body composition at 5 years of age.

Authors:  Valérie Gagné-Ouellet; Andrée-Anne Houde; Simon-Pierre Guay; Patrice Perron; Daniel Gaudet; Renée Guérin; Baillargeon Jean-Patrice; Marie-France Hivert; Diane Brisson; Luigi Bouchard
Journal:  Epigenetics       Date:  2017-05-09       Impact factor: 4.528

4.  Dnmt3a and Dnmt3b-Decommissioned Fetal Enhancers are Linked to Kidney Disease.

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Journal:  J Am Soc Nephrol       Date:  2020-03-03       Impact factor: 10.121

5.  Targeted erasure of DNA methylation by TET3 drives adipogenic reprogramming and differentiation.

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Journal:  Nat Metab       Date:  2022-07-04

6.  A multi-tissue atlas of regulatory variants in cattle.

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Journal:  Nat Genet       Date:  2022-08-11       Impact factor: 41.307

7.  Association between cancer genes and germ layer specificity.

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8.  CRED9: A differentially expressed elncRNA regulates expression of transcription factor CEBPA.

Authors:  Ryan L Setten; Pritsana Chomchan; Elizabeth Wang Epps; John C Burnett; John J Rossi
Journal:  RNA       Date:  2021-05-26       Impact factor: 5.636

9.  DNA Hypomethylation in Intragenic and Intergenic Enhancer Chromatin of Muscle-Specific Genes Usually Correlates with their Expression.

Authors:  Kenneth C Ehrlich; Heather L Paterson; Michelle Lacey; Melanie Ehrlich
Journal:  Yale J Biol Med       Date:  2016-12-23

10.  Hypermethylation and global remodelling of DNA methylation is associated with acquired cisplatin resistance in testicular germ cell tumours.

Authors:  Zeeshan Fazal; Ratnakar Singh; Fang Fang; Emmanuel Bikorimana; Hannah Baldwin; Andrea Corbet; Megan Tomlin; Cliff Yerby; Nabil Adra; Costantine Albany; Sarah Lee; Sarah J Freemantle; Kenneth P Nephew; Brock C Christensen; Michael J Spinella
Journal:  Epigenetics       Date:  2020-10-30       Impact factor: 4.528

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