Abstract
Background
Epigenomic reconfiguration, including changes in DNA methylation and histone modifications, is crucial for the differentiation of embryonic stem cells (ESCs) into somatic cells. However, the extent to which the epigenome is reconfigured and the interplay between components of the epigenome during cellular differentiation remain poorly defined.
Methods
We systematically analyzed and compared DNA methylation, various histone modification, and transcriptome profiles in ESCs with those of two distinct types of somatic cells from human and mouse.
Results
We found that global DNA methylation levels are lower in somatic cells compared to ESCs in both species. We also found that 80% of regions with histone modification occupancy differ between human ESCs and the two human somatic cell types. Approximately 70% of the reconfigurations in DNA methylation and histone modifications are locus- and cell typespecific. Intriguingly, the loss of DNA methylation is accompanied by the gain of different histone modifications in a locus- and cell type-specific manner. Further examination of transcriptional changes associated with epigenetic reconfiguration at promoter regions revealed an epigenetic switching for gene regulation—a transition from stable gene silencing mediated by DNA methylation in ESCs to flexible gene repression facilitated by repressive histone modifications in somatic cells.
Conclusions
Our findings demonstrate that the epigenome is reconfigured in a locus- and cell type-specific manner and epigenetic switching is common during cellular differentiation in both human and mouse.
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References
Azuara V, Perry P, Sauer S, Spivakov M, Jørgensen H F, John R M, Gouti M, Casanova M, Warnes G, Merkenschlager M, Fisher A G (2006). Chromatin signatures of pluripotent cell lines. Nat Cell Biol, 8(5): 532–538
Ball M P, Li J B, Gao Y, Lee J H, LeProust E M, Park I H, Xie B, Daley G Q, Church G M (2009). Targeted and genome-scale strategies reveal gene-body methylation signatures in human cells. Nat Biotechnol, 27(4): 361–368
Ben-Shushan E, Pikarsky E, Klar A, Bergman Y (1993). Extinction of Oct-3/4 gene expression in embryonal carcinoma x fibroblast somatic cell hybrids is accompanied by changes in the methylation status, chromatin structure, and transcriptional activity of the Oct-3/4 upstream region. Mol Cell Biol, 13(2): 891–901
Benjamini Y, Hochberg Y (1995). Controlling the false discovery rate- a practical and powerful approach to multiple testing. J Roy Stat Soc B Met, 57: 289–300
Berger S L (2007). The complex language of chromatin regulation during transcription. Nature, 447(7143): 407–412
Bernstein B E, Mikkelsen T S, Xie X, Kamal M, Huebert D J, Cuff J, Fry B, Meissner A, Wernig M, Plath K, Jaenisch R, Wagschal A, Feil R, Schreiber S L, Lander E S (2006). A bivalent chromatin structure marks key developmental genes in embryonic stem cells. Cell, 125 (2): 315–326
Bird A (2002). DNA methylation patterns and epigenetic memory. Genes Dev, 16(1): 6–21
Deb-Rinker P, Ly D, Jezierski A, Sikorska M, Walker P R (2005). Sequential DNA methylation of the Nanog and Oct-4 upstream regions in human NT2 cells during neuronal differentiation. J Biol Chem, 280(8): 6257–6260
Dobin A, Davis C A, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gingeras T R (2013). STAR: ultrafast universal RNA-seq aligner. Bioinformatics, 29(1): 15–21
Gifford C A, Ziller M J, Gu H, Trapnell C, Donaghey J, Tsankov A, Shalek A K, Kelley D R, Shishkin A A, Issner R, Zhang X, Coyne M, Fostel J L, Holmes L, Meldrim J, Guttman M, Epstein C, Park H, Kohlbacher O, Rinn J, Gnirke A, Lander E S, Bernstein B E, Meissner A (2013). Transcriptional and epigenetic dynamics during specification of human embryonic stem cells. Cell, 153(5): 1149–1163
Hawkins R D, Hon G C, Lee L K, Ngo Q, Lister R, Pelizzola M, Edsall L E, Kuan S, Luu Y, Klugman S, Antosiewicz-Bourget J, Ye Z, Espinoza C, Agarwahl S, Shen L, Ruotti V, Wang W, Stewart R, Thomson J A, Ecker J R, Ren B (2010). Distinct epigenomic landscapes of pluripotent and lineage-committed human cells. Cell Stem Cell, 6(5): 479–491
Heinz S, Benner C, Spann N, Bertolino E, Lin Y C, Laslo P, Cheng J X, Murre C, Singh H, Glass C K (2010). Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol Cell, 38(4): 576–589
Hon G C, Hawkins R D, Caballero O L, Lo C, Lister R, Pelizzola M, Valsesia A, Ye Z, Kuan S, Edsall L E, Camargo A A, Stevenson B J, Ecker J R, Bafna V, Strausberg R L, Simpson A J, Ren B (2012). Global DNA hypomethylation coupled to repressive chromatin domain formation and gene silencing in breast cancer. Genome Res, 22(2): 246–258
Hon G C, Rajagopal N, Shen Y, McCleary D F, Yue F, Dang M D, Ren B (2013). Epigenetic memory at embryonic enhancers identified in DNA methylation maps from adult mouse tissues. Nat Genet, 45(10): 1198–1206
Huang W, Sherman B T, Lempicki R A (2009a). Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res, 37(1): 1–13
Huang W, Sherman B T, Lempicki R A (2009b). Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc, 4(1): 44–57
Jackson M, Krassowska A, Gilbert N, Chevassut T, Forrester L, Ansell J, Ramsahoye B (2004). Severe global DNA hypomethylation blocks differentiation and induces histone hyperacetylation in embryonic stem cells. Mol Cell Biol, 24(20): 8862–8871
Jaenisch R, Bird A (2003). Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals. Nat Genet, 33(3s Suppl): 245–254
Jenuwein T, Allis C D (2001). Translating the histone code. Science, 293 (5532). 1074–1080
Jones P A (2012). Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet, 13(7): 484–492
Koh K P, Yabuuchi A, Rao S, Huang Y, Cunniff K, Nardone J, Laiho A, Tahiliani M, Sommer C A, Mostoslavsky G, Lahesmaa R, Orkin S H, Rodig S J, Daley G Q, Rao A (2011). Tet1 and Tet2 regulate 5-hydroxymethylcytosine production and cell lineage specification in mouse embryonic stem cells. Cell Stem Cell, 8(2): 200–213
Krueger F, Andrews S R (2011). Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics, 27 (11): 1571–1572
Langmead B, Trapnell C, Pop M, Salzberg S L (2009). Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol, 10(3): R25
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, the 1000 Genome Project Data Processing Subgroup (2009). The sequence alignment/map format and SAMtools. Bioinformatics, 25(16): 2078–2079
Lister R, Ecker J R (2009). Finding the fifth base: genome-wide sequencing of cytosine methylation. Genome Res, 19(6): 959–966
Lister R, Mukamel E A, Nery J R, Urich M, Puddifoot C A, Johnson N D, Lucero J, Huang Y, Dwork A J, Schultz M D, Yu M, Tonti-Filippini J, Heyn H, Hu S, Wu J C, Rao A, Esteller M, He C, Haghighi F G, Sejnowski T J, Behrens M M, Ecker J R (2013). Global epigenomic reconfiguration during mammalian brain development. Science, 341(6146): 1237905
Lister R, Pelizzola M, Dowen R H, Hawkins R D, Hon G, Tonti-Filippini J, Nery J R, Lee L, Ye Z, Ngo Q M, Edsall L, Antosiewicz-Bourget J, Stewart R, Ruotti V, Millar A H, Thomson J A, Ren B, Ecker J R (2009). Human DNA methylomes at base resolution show widespread epigenomic differences. Nature, 462(7271): 315–322
Maniatis T, Reed R (2002). An extensive network of coupling among gene expression machines. Nature, 416(6880): 499–506
Mann I K, Chatterjee R, Zhao J, He X, Weirauch M T, Hughes T R, Vinson C (2013). CG methylated microarrays identify a novel methylated sequence bound by the CEBPBATF4 heterodimer that is active in vivo. Genome Res, 23(6): 988–997
Margueron R, Reinberg D (2011). The Polycomb complex PRC2 and its mark in life. Nature, 469(7330): 343–349
Métivier R, Penot G, Hübner M R, Reid G, Brand H, Kos M, Gannon F (2003). Estrogen receptor-alpha directs ordered, cyclical, and combinatorial recruitment of cofactors on a natural target promoter. Cell, 115(6): 751–763
Pan G, Tian S, Nie J, Yang C, Ruotti V, Wei H, Jonsdottir G A, Stewart R, Thomson J A (2007). Whole-genome analysis of histone H3 lysine 4 and lysine 27 methylation in human embryonic stem cells. Cell Stem Cell, 1(3): 299–312
Reik W (2007). Stability and flexibility of epigenetic gene regulation in mammalian development. Nature, 447(7143): 425–432
Rivera C M, Ren B (2013). Mapping human epigenomes. Cell, 155(1): 39–55
Robinson J T, Thorvaldsdóttir H, Winckler W, Guttman M, Lander E S, Getz G, Mesirov J P (2011). Integrative genomics viewer. Nat Biotechnol, 29(1): 24–26
Robinson M D, McCarthy D J, Smyth G K (2010). edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics, 26(1): 139–140
Smith Z D, Meissner A (2013). DNA methylation: roles in mammalian development. Nat Rev Genet, 14(3): 204–220
Stadler M B, Murr R, Burger L, Ivanek R, Lienert F, Schöler A, van Nimwegen E, Wirbelauer C, Oakeley E J, Gaidatzis D, Tiwari V K, Schübeler D (2011). DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature, 480(7378): 490–495
Tahiliani M, Koh K P, Shen Y, Pastor W A, Bandukwala H, Brudno Y, Agarwal S, Iyer L M, Liu D R, Aravind L, Rao A (2009). Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1. Science, 324(5929): 930–935
Thorvaldsdóttir H, Robinson J T, Mesirov J P (2013). Integrative genomics viewer (IGV): high-performance genomics data visualization and exploration. Brief Bioinform, 14(2): 178–192
Trapnell C, Pachter L, Salzberg S L (2009). TopHat: discovering splice junctions with RNA-Seq. Bioinformatics, 25(9): 1105–1111
Tsumura A, Hayakawa T, Kumaki Y, Takebayashi S, Sakaue M, Matsuoka C, Shimotohno K, Ishikawa F, Li E, Ueda H R, Nakayama J, Okano M (2006). Maintenance of self-renewal ability of mouse embryonic stem cells in the absence of DNA methyltransferases Dnmt1, Dnmt3a and Dnmt3b. Genes Cells, 11(7): 805–814
Turner B M (2007). Defining an epigenetic code. Nat Cell Biol, 9(1): 2–6
Xie W, Barr C L, Kim A, Yue F, Lee A Y, Eubanks J, Dempster E L, Ren B (2012). Base-resolution analyses of sequence and parent-of-origin dependent DNA methylation in the mouse genome. Cell, 148(4): 816–831
Xie W, Schultz M D, Lister R, Hou Z, Rajagopal N, Ray P, Whitaker J W, Tian S, Hawkins R D, Leung D, Yang H, Wang T, Lee A Y, Swanson S A, Zhang J, Zhu Y, Kim A, Nery J R, Urich M A, Kuan S, Yen C A, Klugman S, Yu P, Suknuntha K, Propson N E, Chen H, Edsall L E, Wagner U, Li Y, Ye Z, Kulkarni A, Xuan Z, Chung W Y, Chi N C, Antosiewicz-Bourget J E, Slukvin I, Stewart R, Zhang M Q, Wang W, Thomson J A, Ecker J R, Ren B (2013). Epigenomic analysis of multilineage differentiation of human embryonic stem cells. Cell, 153(5): 1134–1148
Ziller M J, Gu H, Müller F, Donaghey J, Tsai L T, Kohlbacher O, De Jager P L, Rosen E D, Bennett D A, Bernstein B E, Gnirke A, Meissner A (2013). Charting a dynamic DNA methylation landscape of the human genome. Nature, 500(7463): 477–481
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Zhao, YT., Fasolino, M. & Zhou, Z. Locus- and cell type-specific epigenetic switching during cellular differentiation in mammals. Front. Biol. 11, 311–322 (2016). https://doi.org/10.1007/s11515-016-1411-5
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DOI: https://doi.org/10.1007/s11515-016-1411-5