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Abstract

DNA methylation is a fundamental epigenetic mark that governs gene expression and chromatin organization, thus providing a window into cellular identity and developmental processes1. Current datasets typically include only a fraction of methylation sites and are often based either on cell lines that underwent massive changes in culture or on tissues containing unspecified mixtures of cells2-5. Here we describe a human methylome atlas, based on deep whole-genome bisulfite sequencing, allowing fragment-level analysis across thousands of unique markers for 39 cell types sorted from 205 healthy tissue samples. Replicates of the same cell type are more than 99.5% identical, demonstrating the robustness of cell identity programmes to environmental perturbation. Unsupervised clustering of the atlas recapitulates key elements of tissue ontogeny and identifies methylation patterns retained since embryonic development. Loci uniquely unmethylated in an individual cell type often reside in transcriptional enhancers and contain DNA binding sites for tissue-specific transcriptional regulators. Uniquely hypermethylated loci are rare and are enriched for CpG islands, Polycomb targets and CTCF binding sites, suggesting a new role in shaping cell-type-specific chromatin looping. The atlas provides an essential resource for study of gene regulation and disease-associated genetic variants, and a wealth of potential tissue-specific biomarkers for use in liquid biopsies.

Details

Title
A DNA methylation atlas of normal human cell types
Author
Loyfer, Netanel 1 ; Magenheim, Judith 2 ; Peretz, Ayelet 2 ; Cann, Gordon 3 ; Bredno, Joerg 3 ; Klochendler, Agnes; Fox-Fisher, Ilana; Shabi-Porat, Sapir; Hecht, Merav; Pelet, Tsuria; Moss, Joshua; Drawshy, Zeina; Amini, Hamed; Moradi, Patriss; Nagaraju, Sudharani; Bauman, Dvora; Shveiky, David; Porat, Shay; Dior, Uri; Rivkin, Gurion; Or, Omer; Hirshoren, Nir; Carmon, Einat; Pikarsky, Alon; Khalaileh, Abed; Zamir, Gideon; Grinbaum, Ronit; Gazala, Machmud Abu; Mizrahi, Ido; Shussman, Noam; Korach, Amit; Wald, Ori; Izhar, Uzi; Erez, Eldad; Yutkin, Vladimir; Samet, Yaacov; Golinkin, Devorah Rotnemer; Spalding, Kirsty L; Druid, Henrik; Arner, Peter; Shapiro, A M James; Grompe, Markus; Aravanis, Alex; Venn, Oliver; Jamshidi, Arash; Shemer, Ruth; Dor, Yuval; Glaser, Benjamin; Kaplan, Tommy

 1School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel 
 Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel 
 GRAIL, Inc., Menlo Park, CA, USA 
Pages
355-3,364A-364N
Section
Article
Publication year
2023
Publication date
Jan 12, 2023
Publisher
Nature Publishing Group
ISSN
00280836
e-ISSN
14764687
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2765345683
Copyright
Copyright Nature Publishing Group Jan 12, 2023