Human body epigenome maps reveal noncanonical DNA methylation variation
Open accessAbstract
As part of the Epigenome Roadmap Project, genome-wide maps of DNA methylation and transcriptomes together with genomic DNA sequencing of 18 different primary human tissue types from 4 individuals are presented; analysis reveals widespread differential methylation of CG sites between tissues, and the presence of non-CG methylation in adult tissues. As part of the Epigenome Roadmap project, Joseph Ecker and colleagues provide genome-wide maps of DNA methylation and transcriptomes, in conjunction with genomic DNA sequencing, of 18 different primary human tissue types from four individuals. Analysis of the datasets reveals widespread differential methylation of CG sites between tissues, and methylation at regulatory elements generally has a negative correlation with gene expression as expected. A surprising amount of non-CG methylation is found in a subpopulation of cells in many tissues. Understanding the diversity of human tissues is fundamental to disease and requires linking genetic information, which is identical in most of an individual’s cells, with epigenetic mechanisms that could have tissue-specific roles. Surveys of DNA methylation in human tissues have established a complex landscape including both tissue-specific and invariant methylation patterns1,2. Here we report high coverage methylomes that catalogue cytosine methylation in all contexts for the major human organ systems, integrated with matched transcriptomes and genomic sequence. By combining these diverse data types with each individuals’ phased genome3, we identified widespread tissue-specific differential CG methylation (mCG), partially methylated domains, allele-specific methylation and transcription, and the unexpected presence of non-CG methylation (mCH) in almost all human tissues. mCH correlated with tissue-specific functions, and using this mark, we made novel predictions of genes that escape X-chromosome inactivation in specific tissues. Overall, DNA methylation in several genomic contexts varies substantially among human tissues.
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Intragenic large differentially methylated regions can overlap tissue-defining signature genes and predicted super-enhancers.
“Intragenic DMRs that stretch for kilobases (large-DMRs) can overlap with tissue defining “signature genes” as well as with predicted super-enhancers, which are clusters of enhancers that function cooperatively (4, 10, 11).”
From Dynamic DNA methylation: In the right place at the right time (2018) · cites this paper as [4]
Dynamically methylated CpGs cluster into more than one million tissue-specific differentially methylated regions.
“These dynamically methylated CpGs cluster into over 1 million tissue specific differentially methylated regions (DMRs).”
From Dynamic DNA methylation: In the right place at the right time (2018) · cites this paper as [4]
Under normal physiological conditions, 15% to 21% of CpGs differ in methylation status between human tissues.
“direct comparison of whole genome methylome profiles derived from numerous cell types has revealed that under normal physiological conditions 15%-21% of CpGs vary in methylation status between human tissues (4, 5).”
From Dynamic DNA methylation: In the right place at the right time (2018) · cites this paper as [4]
Tissue-type-specific differentially methylated regions are defined by lineage-specific gain and loss of 5mC during embryogenesis.
“These tissue-type specific DMRs are defined by both lineage specific gain and loss of 5mC during embryogenesis.”
From Dynamic DNA methylation: In the right place at the right time (2018) · cites this paper as [4]
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- Authors
- Schultz, M. D., He, Y., Whitaker, J. W., Hariharan, M., Mukamel, E. A., Leung, D., Rajagopal, N., Nery, J. R., Urich, M. A., Chen, H., Lin, S., Lin, Y., Jung, I., Schmitt, A. D., Selvaraj, S., Ren, B., Sejnowski, T. J., Wang, W., & Ecker, J. R.
- Affiliations
- Salk Institute for Biological Studies (US)
- University of California San Diego (US)
- Ludwig Cancer Research (US)
- Stanford University (US)
- Washington University in St. Louis (US)
- Corresponding author
- Ecker, Joseph R.
- ORCID
- Venue
- Nature
- Published
- 2015-06-01
- Volume
- 523
- Issue
- 7559
- Pages
- 212-216
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4499021
- OpenAlex
- W1506411903
- Cited by
- 690
- References
- 30
- Citations by year
- 2026: 30 · 2025: 43 · 2024: 39 · 2023: 61 · 2022: 61 · 2021: 65 · 2020: 80 · 2019: 69 · 2018: 81 · 2017: 63 · 2016: 68 · 2015: 28 · 2014: 1 · 2012: 1
- FWCI
- 34.75
- Type
- journal article
- Language
- en
- Update notices
- erratum (2015-11-25)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Gordon and Betty Moore Foundation
- Mary K. Chapman Foundation
- University of Texas at Austin
- National Institutes of Health
- National Heart, Lung, and Blood Institute (R00HL119617, K99HL119617, F32HL110473)
- National Institute of General Medical Sciences (T32GM008666)
- National Institute of Neurological Disorders and Stroke (R00NS080911, K99NS080911)
- National Institute of Environmental Health Sciences (U01ES017166, R01ES024984)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Syndromes and Imprinting
- Keywords
- DNA methylation, non-CG methylation, tissue-specific methylation, partially methylated domains, allele-specific methylation, X chromosome inactivation escape, gene expression, regulatory elements
- MeSH terms
- Age Factors, Alleles, Chromosome Mapping, Female, Gene Expression Regulation, Humans, Male, Organ Specificity, Genetic Variation, DNA Methylation, Gene Expression Profiling, Epigenesis, Genetic
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