101
|
Andersson R, Gebhard C, Miguel-Escalada I, Hoof I, Bornholdt J, Boyd M, Chen Y, Zhao X, Schmidl C, Suzuki T, Ntini E, Arner E, Valen E, Li K, Schwarzfischer L, Glatz D, Raithel J, Lilje B, Rapin N, Bagger FO, Jørgensen M, Andersen PR, Bertin N, Rackham O, Burroughs AM, Baillie JK, Ishizu Y, Shimizu Y, Furuhata E, Maeda S, Negishi Y, Mungall CJ, Meehan TF, Lassmann T, Itoh M, Kawaji H, Kondo N, Kawai J, Lennartsson A, Daub CO, Heutink P, Hume DA, Jensen TH, Suzuki H, Hayashizaki Y, Müller F, Forrest AR, Carninci P, Rehli M, Sandelin A. An atlas of active enhancers across human cell types and tissues. Nature 2014; 507:455-461. [PMID: 24670763 PMCID: PMC5215096 DOI: 10.1038/nature12787] [Citation(s) in RCA: 1741] [Impact Index Per Article: 174.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Accepted: 10/16/2013] [Indexed: 02/07/2023]
Abstract
Enhancers control the correct temporal and cell-type-specific activation of gene expression in multicellular eukaryotes. Knowing their properties, regulatory activity and targets is crucial to understand the regulation of differentiation and homeostasis. Here we use the FANTOM5 panel of samples, covering the majority of human tissues and cell types, to produce an atlas of active, in vivo-transcribed enhancers. We show that enhancers share properties with CpG-poor messenger RNA promoters but produce bidirectional, exosome-sensitive, relatively short unspliced RNAs, the generation of which is strongly related to enhancer activity. The atlas is used to compare regulatory programs between different cells at unprecedented depth, to identify disease-associated regulatory single nucleotide polymorphisms, and to classify cell-type-specific and ubiquitous enhancers. We further explore the utility of enhancer redundancy, which explains gene expression strength rather than expression patterns. The online FANTOM5 enhancer atlas represents a unique resource for studies on cell-type-specific enhancers and gene regulation.
Collapse
Affiliation(s)
- Robin Andersson
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| | - Claudia Gebhard
- Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany
| | - Irene Miguel-Escalada
- School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Ilka Hoof
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| | - Jette Bornholdt
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| | - Mette Boyd
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| | - Yun Chen
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| | - Xiaobei Zhao
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Christian Schmidl
- Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany
| | - Takahiro Suzuki
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Evgenia Ntini
- Centre for mRNP Biogenesis and Metabolism, Department of Molecular Biology and Genetics, C.F. Møllers Alle 3, Bldg. 1130, DK-8000 Aarhus, Denmark
| | - Erik Arner
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Eivind Valen
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
- Department of Molecular and Cellular Biology, Harvard University, USA
| | - Kang Li
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| | - Lucia Schwarzfischer
- Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany
| | - Dagmar Glatz
- Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany
| | - Johanna Raithel
- Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany
| | - Berit Lilje
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| | - Nicolas Rapin
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
- The Finsen Laboratory, Rigshospitalet and Danish Stem Cell Centre (DanStem), University of Copenhagen, Ole Maaloes Vej 5, DK-2200, Denmark
| | - Frederik Otzen Bagger
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
- The Finsen Laboratory, Rigshospitalet and Danish Stem Cell Centre (DanStem), University of Copenhagen, Ole Maaloes Vej 5, DK-2200, Denmark
| | - Mette Jørgensen
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| | - Peter Refsing Andersen
- Centre for mRNP Biogenesis and Metabolism, Department of Molecular Biology and Genetics, C.F. Møllers Alle 3, Bldg. 1130, DK-8000 Aarhus, Denmark
| | - Nicolas Bertin
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Owen Rackham
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - A. Maxwell Burroughs
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - J. Kenneth Baillie
- Roslin Institute, Edinburgh University, Easter Bush, Midlothian, EH25 9RG Scotland, UK
| | - Yuri Ishizu
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Yuri Shimizu
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Erina Furuhata
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Shiori Maeda
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Yutaka Negishi
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Christopher J. Mungall
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road MS 64-121, Berkeley, CA 94720, USA
| | - Terrence F. Meehan
- EMBL Outstation - Hinxton, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD
| | - Timo Lassmann
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Masayoshi Itoh
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Hideya Kawaji
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Naoto Kondo
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Jun Kawai
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Andreas Lennartsson
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183 Huddinge, Stockholm, Sweden
| | - Carsten O. Daub
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183 Huddinge, Stockholm, Sweden
| | - Peter Heutink
- Department of Clinical Genetics, VU University Medical Center, van der Boechorststraat 7, 1081 BT Amsterdam, Netherlands
| | - David A. Hume
- Roslin Institute, Edinburgh University, Easter Bush, Midlothian, EH25 9RG Scotland, UK
| | - Torben Heick Jensen
- Centre for mRNP Biogenesis and Metabolism, Department of Molecular Biology and Genetics, C.F. Møllers Alle 3, Bldg. 1130, DK-8000 Aarhus, Denmark
| | - Harukazu Suzuki
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Yoshihide Hayashizaki
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Ferenc Müller
- School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Alistair R.R. Forrest
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Piero Carninci
- RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Michael Rehli
- Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany
| | - Albin Sandelin
- The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark
| |
Collapse
|
102
|
Andersson R, Gebhard C, Miguel-Escalada I, Hoof I, Bornholdt J, Boyd M, Chen Y, Zhao X, Schmidl C, Suzuki T, Ntini E, Arner E, Valen E, Li K, Schwarzfischer L, Glatz D, Raithel J, Lilje B, Rapin N, Bagger FO, Jørgensen M, Andersen PR, Bertin N, Rackham O, Burroughs AM, Baillie JK, Ishizu Y, Shimizu Y, Furuhata E, Maeda S, Negishi Y, Mungall CJ, Meehan TF, Lassmann T, Itoh M, Kawaji H, Kondo N, Kawai J, Lennartsson A, Daub CO, Heutink P, Hume DA, Jensen TH, Suzuki H, Hayashizaki Y, Müller F, Forrest ARR, Carninci P, Rehli M, Sandelin A. An atlas of active enhancers across human cell types and tissues. Nature 2014. [DOI: 10.10.1038/nature12787] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
|
103
|
The enhancer and promoter landscape of human regulatory and conventional T-cell subpopulations. Blood 2014; 123:e68-78. [PMID: 24671953 DOI: 10.1182/blood-2013-02-486944] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
CD4(+)CD25(+)FOXP3(+) human regulatory T cells (Tregs) are essential for self-tolerance and immune homeostasis. Here, we describe the promoterome of CD4(+)CD25(high)CD45RA(+) naïve and CD4(+)CD25(high)CD45RA(-) memory Tregs and their CD25(-) conventional T-cell (Tconv) counterparts both before and after in vitro expansion by cap analysis of gene expression (CAGE) adapted to single-molecule sequencing (HeliScopeCAGE). We performed comprehensive comparative digital gene expression analyses and revealed novel transcription start sites, of which several were validated as alternative promoters of known genes. For all in vitro expanded subsets, we additionally generated global maps of poised and active enhancer elements marked by histone H3 lysine 4 monomethylation and histone H3 lysine 27 acetylation, describe their cell type-specific motif signatures, and evaluate the role of candidate transcription factors STAT5, FOXP3, RUNX1, and ETS1 in both Treg- and Tconv-specific enhancer architectures. Network analyses of gene expression data revealed additional candidate transcription factors contributing to cell type specificity and a transcription factor network in Tregs that is dominated by FOXP3 interaction partners and targets. In summary, we provide a comprehensive and easily accessible resource of gene expression and gene regulation in human Treg and Tconv subpopulations.
Collapse
|
104
|
Analysis of the DNA methylome and transcriptome in granulopoiesis reveals timed changes and dynamic enhancer methylation. Blood 2014; 123:e79-89. [PMID: 24671952 DOI: 10.1182/blood-2013-02-482893] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
In development, epigenetic mechanisms such as DNA methylation have been suggested to provide a cellular memory to maintain multipotency but also stabilize cell fate decisions and direct lineage restriction. In this study, we set out to characterize changes in DNA methylation and gene expression during granulopoiesis using 4 distinct cell populations ranging from the oligopotent common myeloid progenitor stage to terminally differentiated neutrophils. We observed that differentially methylated sites (DMSs) generally show decreased methylation during granulopoiesis. Methylation appears to change at specific differentiation stages and overlap with changes in transcription and activity of key hematopoietic transcription factors. DMSs were preferentially located in areas distal to CpG islands and shores. Also, DMSs were overrepresented in enhancer elements and enriched in enhancers that become active during differentiation. Overall, this study depicts in detail the epigenetic and transcriptional changes that occur during granulopoiesis and supports the role of DNA methylation as a regulatory mechanism in blood cell differentiation.
Collapse
|
105
|
Kaz AM, Wong CJ, Dzieciatkowski S, Luo Y, Schoen RE, Grady WM. Patterns of DNA methylation in the normal colon vary by anatomical location, gender, and age. Epigenetics 2014; 9:492-502. [PMID: 24413027 DOI: 10.4161/epi.27650] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Alterations in DNA methylation have been proposed to create a field cancerization state in the colon, where molecular alterations that predispose cells to transformation occur in histologically normal tissue. However, our understanding of the role of DNA methylation in field cancerization is limited by an incomplete characterization of the methylation state of the normal colon. In order to determine the colon's normal methylation state, we extracted DNA from normal colon biopsies from the rectum, sigmoid, transverse, and ascending colon and assessed the methylation status of the DNA by pyrosequencing candidate loci as well as with HumanMethylation450 arrays. We found that methylation levels of repetitive elements LINE-1 and SAT-α showed minimal variability throughout the colon in contrast to other loci. Promoter methylation of EVL was highest in the rectum and progressively lower in the proximal segments, whereas ESR1 methylation was higher in older individuals. Genome-wide methylation analysis of normal DNA revealed 8388, 82, and 93 differentially methylated loci that distinguished right from left colon, males from females, and older vs. younger individuals, respectively. Although variability in methylation between biopsies and among different colon segments was minimal for repetitive elements, analyses of specific cancer-related genes as well as a genome-wide methylation analysis demonstrated differential methylation based on colon location, individual age, and gender. These studies advance our knowledge regarding the variation of DNA methylation in the normal colon, a prerequisite for future studies aimed at understanding methylation differences indicative of a colon field effect.
Collapse
Affiliation(s)
- Andrew M Kaz
- Division of Clinical Research; Fred Hutchinson Cancer Research Center; Seattle, WA USA; Research and Development Service; VA Puget Sound Health Care System; Seattle, WA USA; Department of Medicine; University of Washington School of Medicine; Seattle, WA USA
| | - Chao-Jen Wong
- Division of Clinical Research; Fred Hutchinson Cancer Research Center; Seattle, WA USA
| | | | - Yanxin Luo
- Division of Clinical Research; Fred Hutchinson Cancer Research Center; Seattle, WA USA; Department of Colorectal Surgery; the Sixth Affiliated Hospital; Sun Yat-Sen University; Guangzhou, PR China; Gastrointestinal Institute; Sun Yat-Sen University; Guangzhou, PR China
| | - Robert E Schoen
- Department of Medicine; University of Pittsburgh Medical Center; Pittsburgh, PA USA
| | - William M Grady
- Division of Clinical Research; Fred Hutchinson Cancer Research Center; Seattle, WA USA; Department of Medicine; University of Washington School of Medicine; Seattle, WA USA
| |
Collapse
|
106
|
Piccioni M, Chen Z, Tsun A, Li B. Regulatory T-cell differentiation and their function in immune regulation. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2014; 841:67-97. [PMID: 25261205 DOI: 10.1007/978-94-017-9487-9_4] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Regulatory T-cells (Treg) represent a subset of CD4+ T-cells characterized by high suppressive capacity, which can be generated in the thymus or induced in the periphery. The deleterious phenotype of the Scurfy mouse, which develops an X-linked lymphoproliferative disease resulting from defective T-cell tolerance, clearly demonstrates the importance of Treg cells for the maintenance of immune homeostasis. Although significant progress has been achieved, much information regarding the development, characteristics and function of Treg cells remain lacking. This chapter highlights the most recent discoveries in the field of Treg biology, focusing on the development and role of this cell subset in the maintenance of immune balance.
Collapse
Affiliation(s)
- Miranda Piccioni
- Key Laboratory of Molecular Virology and Immunology, Unit of Molecular Immunology, Institute Pasteur of Shanghai, Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200025, China
| | | | | | | |
Collapse
|
107
|
Park GT, Han J, Park SG, Kim S, Kim TY. DNA methylation analysis of CD4+ T cells in patients with psoriasis. Arch Dermatol Res 2013; 306:259-68. [DOI: 10.1007/s00403-013-1432-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2013] [Revised: 10/23/2013] [Accepted: 11/29/2013] [Indexed: 12/14/2022]
|
108
|
Oger F, Dubois-Chevalier J, Gheeraert C, Avner S, Durand E, Froguel P, Salbert G, Staels B, Lefebvre P, Eeckhoute J. Peroxisome proliferator-activated receptor γ regulates genes involved in insulin/insulin-like growth factor signaling and lipid metabolism during adipogenesis through functionally distinct enhancer classes. J Biol Chem 2013; 289:708-22. [PMID: 24288131 DOI: 10.1074/jbc.m113.526996] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The nuclear receptor peroxisome proliferator-activated receptor (PPAR) is a transcription factor whose expression is induced during adipogenesis and that is required for the acquisition and control of mature adipocyte functions. Indeed, PPAR induces the expression of genes involved in lipid synthesis and storage through enhancers activated during adipocyte differentiation. Here, we show that PPAR also binds to enhancers already active in preadipocytes as evidenced by an active chromatin state including lower DNA methylation levels despite higher CpG content. These constitutive enhancers are linked to genes involved in the insulin/insulin-like growth factor signaling pathway that are transcriptionally induced during adipogenesis but to a lower extent than lipid metabolism genes, because of stronger basal expression levels in preadipocytes. This is consistent with the sequential involvement of hormonal sensitivity and lipid handling during adipocyte maturation and correlates with the chromatin structure dynamics at constitutive and activated enhancers. Interestingly, constitutive enhancers are evolutionary conserved and can be activated in other tissues, in contrast to enhancers controlling lipid handling genes whose activation is more restricted to adipocytes. Thus, PPAR utilizes both broadly active and cell type-specific enhancers to modulate the dynamic range of activation of genes involved in the adipogenic process.
Collapse
|
109
|
Abstract
Molecular mechanisms guiding naïve T helper cell differentiation into functionally specified effector cells are intensively studied. The rapidly growing knowledge is mainly achieved by using mouse cells or disease models. Comparatively exiguous data is gathered from human primary cells although they provide the "ultimate model" for immunology in man, have been exploited in many original studies paving the way for the field, and can be analyzed more easily than ever with the help of modern technology and methods. As usage of mouse models is unavoidable in translational research, parallel human and mouse studies should be performed to assure the relevancy of the hypothesis created during the basic research. In this review, we give an overview on the status of the studies conducted with human primary cells aiming at elucidating the mechanisms instructing the priming of T helper cell subtypes. The special emphasis is given to the recent high-throughput studies. In addition, by comparing the human and mouse studies we intend to point out the regulatory mechanisms and questions which are lacking examination with human primary cells.
Collapse
Affiliation(s)
- Soile Tuomela
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Tykistökatu 6, 20520 Turku, Finland
| | | |
Collapse
|
110
|
Tolerance and exhaustion: defining mechanisms of T cell dysfunction. Trends Immunol 2013; 35:51-60. [PMID: 24210163 DOI: 10.1016/j.it.2013.10.001] [Citation(s) in RCA: 483] [Impact Index Per Article: 43.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Revised: 09/29/2013] [Accepted: 10/05/2013] [Indexed: 02/08/2023]
Abstract
CD8 T cell activation and differentiation are tightly controlled, and dependent on the context in which naïve T cells encounter antigen, can either result in functional memory or T cell dysfunction, including exhaustion, tolerance, anergy, or senescence. With the identification of phenotypic and functional traits shared in different settings of T cell dysfunction, distinctions between such dysfunctional states have become blurred. Here, we discuss distinct states of CD8 T cell dysfunction, with an emphasis on: (i) T cell tolerance to self-antigens (self-tolerance); (ii) T cell exhaustion during chronic infections; and (iii) tumor-induced T cell dysfunction. We highlight recent findings on cellular and molecular characteristics defining these states, cell-intrinsic regulatory mechanisms that induce and maintain them, and strategies that can lead to their reversal.
Collapse
|
111
|
Nordlund J, Bäcklin CL, Wahlberg P, Busche S, Berglund EC, Eloranta ML, Flaegstad T, Forestier E, Frost BM, Harila-Saari A, Heyman M, Jónsson OG, Larsson R, Palle J, Rönnblom L, Schmiegelow K, Sinnett D, Söderhäll S, Pastinen T, Gustafsson MG, Lönnerholm G, Syvänen AC. Genome-wide signatures of differential DNA methylation in pediatric acute lymphoblastic leukemia. Genome Biol 2013; 14:r105. [PMID: 24063430 PMCID: PMC4014804 DOI: 10.1186/gb-2013-14-9-r105] [Citation(s) in RCA: 256] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Accepted: 09/24/2013] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Although aberrant DNA methylation has been observed previously in acute lymphoblastic leukemia (ALL), the patterns of differential methylation have not been comprehensively determined in all subtypes of ALL on a genome-wide scale. The relationship between DNA methylation, cytogenetic background, drug resistance and relapse in ALL is poorly understood. RESULTS We surveyed the DNA methylation levels of 435,941 CpG sites in samples from 764 children at diagnosis of ALL and from 27 children at relapse. This survey uncovered four characteristic methylation signatures. First, compared with control blood cells, the methylomes of ALL cells shared 9,406 predominantly hypermethylated CpG sites, independent of cytogenetic background. Second, each cytogenetic subtype of ALL displayed a unique set of hyper- and hypomethylated CpG sites. The CpG sites that constituted these two signatures differed in their functional genomic enrichment to regions with marks of active or repressed chromatin. Third, we identified subtype-specific differential methylation in promoter and enhancer regions that were strongly correlated with gene expression. Fourth, a set of 6,612 CpG sites was predominantly hypermethylated in ALL cells at relapse, compared with matched samples at diagnosis. Analysis of relapse-free survival identified CpG sites with subtype-specific differential methylation that divided the patients into different risk groups, depending on their methylation status. CONCLUSIONS Our results suggest an important biological role for DNA methylation in the differences between ALL subtypes and in their clinical outcome after treatment.
Collapse
|
112
|
Boyd-Kirkup JD, Green CD, Wu G, Wang D, Han JDJ. Epigenomics and the regulation of aging. Epigenomics 2013; 5:205-27. [PMID: 23566097 DOI: 10.2217/epi.13.5] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
It is tempting to assume that a gradual accumulation of damage 'causes' an organism to age, but other biological processes present during the lifespan, whether 'programmed' or 'hijacked', could control the type and speed of aging. Theories of aging have classically focused on changes at the genomic level; however, individuals with similar genetic backgrounds can age very differently. Epigenetic modifications include DNA methylation, histone modifications and ncRNA. Environmental cues may be 'remembered' during lifespan through changes to the epigenome that affect the rate of aging. Changes to the epigenomic landscape are now known to associate with aging, but so far causal links to longevity are only beginning to be revealed. Nevertheless, it is becoming apparent that there is significant reciprocal regulation occurring between the epigenomic levels. Future work utilizing new technologies and techniques should build a clearer picture of the link between epigenomic changes and aging.
Collapse
Affiliation(s)
- Jerome D Boyd-Kirkup
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | | | | | | | | |
Collapse
|
113
|
Lehtimäki S, Lahesmaa R. Regulatory T Cells Control Immune Responses through Their Non-Redundant Tissue Specific Features. Front Immunol 2013; 4:294. [PMID: 24069022 PMCID: PMC3780303 DOI: 10.3389/fimmu.2013.00294] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2013] [Accepted: 09/07/2013] [Indexed: 01/11/2023] Open
Abstract
Regulatory T cells (Treg) are needed in the control of immune responses and to maintain immune homeostasis. Of this subtype of regulatory lymphocytes, the most potent are Foxp3 expressing CD4+ T cells, which can be roughly divided into two main groups; natural Treg cells (nTreg), developing in the thymus, and induced or adaptive Treg cells (iTreg), developing in the periphery from naïve, conventional T cells. Both nTreg cells and iTreg cells have their own, non-redundant roles in the immune system, with nTreg cells mainly maintaining tolerance toward self-structures, and iTreg developing in response to externally delivered antigens or commensal microbes. In addition, Treg cells acquire tissue specific features and are adapted to function in the tissue they reside. This review will focus on some specific features of Treg cells in different compartments of the body.
Collapse
Affiliation(s)
- Sari Lehtimäki
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University , Turku , Finland
| | | |
Collapse
|
114
|
Scharer CD, Barwick BG, Youngblood BA, Ahmed R, Boss JM. Global DNA methylation remodeling accompanies CD8 T cell effector function. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2013; 191:3419-29. [PMID: 23956425 PMCID: PMC3800465 DOI: 10.4049/jimmunol.1301395] [Citation(s) in RCA: 151] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The differentiation of CD8 T cells in response to acute infection results in the acquisition of hallmark phenotypic effector functions; however, the epigenetic mechanisms that program this differentiation process on a genome-wide scale are largely unknown. In this article, we report the DNA methylomes of Ag-specific naive and day-8 effector CD8 T cells following acute lymphocytic choriomeningitis virus infection. During effector CD8 T cell differentiation, DNA methylation was remodeled such that changes in DNA methylation at gene promoter regions correlated negatively with gene expression. Importantly, differentially methylated regions were enriched at cis-elements, including enhancers active in naive T cells. Differentially methylated regions were associated with cell type-specific transcription factor binding sites, and these transcription factors clustered into modules that define networks targeted by epigenetic regulation and control of effector CD8 T cell function. Changes in the DNA methylation profile following CD8 T cell activation revealed numerous cellular processes, cis-elements, and transcription factor networks targeted by DNA methylation. Together, the results demonstrated that DNA methylation remodeling accompanies the acquisition of the CD8 T cell effector phenotype and repression of the naive cell state. Therefore, these data provide the framework for an epigenetic mechanism that is required for effector CD8 T cell differentiation and adaptive immune responses.
Collapse
Affiliation(s)
| | - Benjamin G. Barwick
- Department of Microbiology and Immunology, Emory University, Atlanta, GA, USA
| | - Benjamin A. Youngblood
- Department of Microbiology and Immunology, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - Rafi Ahmed
- Department of Microbiology and Immunology, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - Jeremy M. Boss
- Department of Microbiology and Immunology, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| |
Collapse
|
115
|
Tamandani DMK, Hashemi M, Shafiepour S. Analysis of cytotoxic T-lymphocyte-associated antigen-4 and MMP-9 genes' methylation and their expression profiles with risk of non-alcoholic fatty liver disease. INDIAN JOURNAL OF HUMAN GENETICS 2013; 19:144-9. [PMID: 24019613 PMCID: PMC3758718 DOI: 10.4103/0971-6866.116106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE: To investigate the effect of promoter methylation of cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4) gene and matrix metalloproteinases (MMPs) on the risk of non-alcoholic fatty liver disease (NAFLD). MATERIALS AND METHODS: CTLA-4 and MMP-9 promoter methylation were investigated using a methylation-specific polymerase chain reaction (MS-PCR) in blood samples taken from 80 NAFLD individuals and 95 healthy controls. The expression levels of CTLA-4 and MMP-9 were also assessed in 10 blood and 9 liver tissues mRNA samples from NAFLD patients. These cases were compared to the blood (n = 10) samples of healthy controls with real-time quantitative reverse transcriptase PCR. RESULTS: No significant relationship was found for methylation of CTLA-4 and MMP-9 between cases and controls. The relative expression of CTLA-4 and MMP-9 mRNA in NAFLD was not significantly different compared to healthy control samples. CONCLUSION: For the first time, our outcomes indicate that the methylation status of CTLA-4 and MMP-9 genes has no significant function on the process of NAFLD.
Collapse
|
116
|
Genome-wide DNA methylation analysis identifies hypomethylated genes regulated by FOXP3 in human regulatory T cells. Blood 2013; 122:2823-36. [PMID: 23974203 DOI: 10.1182/blood-2013-02-481788] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Regulatory T cells (Treg) prevent the emergence of autoimmune disease. Prototypic natural Treg (nTreg) can be reliably identified by demethylation at the Forkhead-box P3 (FOXP3) locus. To explore the methylation landscape of nTreg, we analyzed genome-wide methylation in human naive nTreg (rTreg) and conventional naive CD4(+) T cells (Naive). We detected 2315 differentially methylated cytosine-guanosine dinucleotides (CpGs) between these 2 cell types, many of which clustered into 127 regions of differential methylation (RDMs). Activation changed the methylation status of 466 CpGs and 18 RDMs in Naive but did not alter DNA methylation in rTreg. Gene-set testing of the 127 RDMs showed that promoter methylation and gene expression were reciprocally related. RDMs were enriched for putative FOXP3-binding motifs. Moreover, CpGs within known FOXP3-binding regions in the genome were hypomethylated. In support of the view that methylation limits access of FOXP3 to its DNA targets, we showed that increased expression of the immune suppressive receptor T-cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT), which delineated Treg from activated effector T cells, was associated with hypomethylation and FOXP3 binding at the TIGIT locus. Differential methylation analysis provides insight into previously undefined human Treg signature genes and their mode of regulation.
Collapse
|
117
|
Vent-Schmidt J, Han JM, MacDonald KG, Levings MK. The Role of FOXP3 in Regulating Immune Responses. Int Rev Immunol 2013; 33:110-28. [DOI: 10.3109/08830185.2013.811657] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
|
118
|
Intragenic DNA methylation in transcriptional regulation, normal differentiation and cancer. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2013; 1829:1161-74. [PMID: 23938249 DOI: 10.1016/j.bbagrm.2013.08.001] [Citation(s) in RCA: 157] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2013] [Revised: 08/02/2013] [Accepted: 08/05/2013] [Indexed: 02/06/2023]
Abstract
Ever since the discovery of DNA methylation at cytosine residues, the role of this so called fifth base has been extensively studied and debated. Until recently, the majority of DNA methylation studies focused on the analysis of CpG islands associated to promoter regions. However, with the upcoming possibilities to study DNA methylation in a genome-wide context, this epigenetic mark can now be studied in an unbiased manner. As a result, recent studies have shown that not only promoters but also intragenic and intergenic regions are widely modulated during physiological processes and disease. In particular, it is becoming increasingly clear that DNA methylation in the gene body is not just a passive witness of gene transcription but it seems to be actively involved in multiple gene regulation processes. In this review we discuss the potential role of intragenic DNA methylation in alternative promoter usage, regulation of short and long non-coding RNAs, alternative RNA processing, as well as enhancer activity. Furthermore, we summarize how the intragenic DNA methylome is modified both during normal cell differentiation and neoplastic transformation.
Collapse
|
119
|
Yu CE, Cudaback E, Foraker J, Thomson Z, Leong L, Lutz F, Gill JA, Saxton A, Kraemer B, Navas P, Keene CD, Montine T, Bekris LM. Epigenetic signature and enhancer activity of the human APOE gene. Hum Mol Genet 2013; 22:5036-47. [PMID: 23892237 DOI: 10.1093/hmg/ddt354] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The human apolipoprotein E (APOE) gene plays an important role in lipid metabolism. It has three common genetic variants, alleles ε2/ε3/ε4, which translate into three protein isoforms of apoE2, E3 and E4. These isoforms can differentially influence total serum cholesterol levels; therefore, APOE has been linked with cardiovascular disease. Additionally, its ε4 allele is strongly associated with the risk of Alzheimer's disease (AD), whereas the ε2 allele appears to have a modest protective effect for AD. Despite decades of research having illuminated multiple functional differences among the three apoE isoforms, the precise mechanisms through which different APOE alleles modify diseases risk remain incompletely understood. In this study, we examined the genomic structure of APOE in search for properties that may contribute novel biological consequences to the risk of disease. We identify one such element in the ε2/ε3/ε4 allele-carrying 3'-exon of APOE. We show that this exon is imbedded in a well-defined CpG island (CGI) that is highly methylated in the human postmortem brain. We demonstrate that this APOE CGI exhibits transcriptional enhancer/silencer activity. We provide evidence that this APOE CGI differentially modulates expression of genes at the APOE locus in a cell type-, DNA methylation- and ε2/ε3/ε4 allele-specific manner. These findings implicate a novel functional role for a 3'-exon CGI and support a modified mechanism of action for APOE in disease risk, involving not only the protein isoforms but also an epigenetically regulated transcriptional program at the APOE locus driven by the APOE CGI.
Collapse
Affiliation(s)
- Chang-En Yu
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA 98108, USA
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
120
|
Pham TH, Minderjahn J, Schmidl C, Hoffmeister H, Schmidhofer S, Chen W, Längst G, Benner C, Rehli M. Mechanisms of in vivo binding site selection of the hematopoietic master transcription factor PU.1. Nucleic Acids Res 2013; 41:6391-402. [PMID: 23658224 PMCID: PMC3711439 DOI: 10.1093/nar/gkt355] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2013] [Revised: 04/03/2013] [Accepted: 04/15/2013] [Indexed: 11/16/2022] Open
Abstract
The transcription factor PU.1 is crucial for the development of many hematopoietic lineages and its binding patterns significantly change during differentiation processes. However, the 'rules' for binding or not-binding of potential binding sites are only partially understood. To unveil basic characteristics of PU.1 binding site selection in different cell types, we studied the binding properties of PU.1 during human macrophage differentiation. Using in vivo and in vitro binding assays, as well as computational prediction, we show that PU.1 selects its binding sites primarily based on sequence affinity, which results in the frequent autonomous binding of high affinity sites in DNase I inaccessible regions (25-45% of all occupied sites). Increasing PU.1 concentrations and the availability of cooperative transcription factor interactions during lineage differentiation both decrease affinity thresholds for in vivo binding and fine-tune cell type-specific PU.1 binding, which seems to be largely independent of DNA methylation. Occupied sites were predominantly detected in active chromatin domains, which are characterized by higher densities of PU.1 recognition sites and neighboring motifs for cooperative transcription factors. Our study supports a model of PU.1 binding control that involves motif-binding affinity, PU.1 concentration, cooperativeness with neighboring transcription factor sites and chromatin domain accessibility, which likely applies to all PU.1 expressing cells.
Collapse
Affiliation(s)
- Thu-Hang Pham
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Julia Minderjahn
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Christian Schmidl
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Helen Hoffmeister
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Sandra Schmidhofer
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Wei Chen
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Gernot Längst
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Christopher Benner
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Michael Rehli
- Department of Internal Medicine III, University Hospital Regensburg, F.-J.-Strauss Allee 11, D-93042 Regensburg, Germany, Department of Biochemistry III, University of Regensburg, Universitätsstrasse 31, D-93053 Regensburg, Germany, Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine (MDC) Berlin-Buch, D-13092 Berlin, Germany, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0651, USA and Integrative Genomics and Bioinformatics Core, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| |
Collapse
|
121
|
Harmston N, Lenhard B. Chromatin and epigenetic features of long-range gene regulation. Nucleic Acids Res 2013; 41:7185-99. [PMID: 23766291 PMCID: PMC3753629 DOI: 10.1093/nar/gkt499] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
The precise regulation of gene transcription during metazoan development is controlled by a complex system of interactions between transcription factors, histone modifications and modifying enzymes and chromatin conformation. Developments in chromosome conformation capture technologies have revealed that interactions between regions of chromatin are pervasive and highly cell-type specific. The movement of enhancers and promoters in and out of higher-order chromatin structures within the nucleus are associated with changes in expression and histone modifications. However, the factors responsible for mediating these changes and determining enhancer:promoter specificity are still not completely known. In this review, we summarize what is known about the patterns of epigenetic and chromatin features characteristic of elements involved in long-range interactions. In addition, we review the insights into both local and global patterns of chromatin interactions that have been revealed by the latest experimental and computational methods.
Collapse
Affiliation(s)
- Nathan Harmston
- MRC Clinical Sciences Centre, Faculty of Medicine, Imperial College, London W12 0NN, UK, Institute of Clinical Sciences, Faculty of Medicine, Imperial College, London W12 0NN, UK and Department of Informatics, University of Bergen, Thromøhlensgate 55, N-5008 Bergen, Norway
| | | |
Collapse
|
122
|
Gutierrez-Arcelus M, Lappalainen T, Montgomery SB, Buil A, Ongen H, Yurovsky A, Bryois J, Giger T, Romano L, Planchon A, Falconnet E, Bielser D, Gagnebin M, Padioleau I, Borel C, Letourneau A, Makrythanasis P, Guipponi M, Gehrig C, Antonarakis SE, Dermitzakis ET. Passive and active DNA methylation and the interplay with genetic variation in gene regulation. eLife 2013; 2:e00523. [PMID: 23755361 PMCID: PMC3673336 DOI: 10.7554/elife.00523] [Citation(s) in RCA: 304] [Impact Index Per Article: 27.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2013] [Accepted: 04/29/2013] [Indexed: 12/12/2022] Open
Abstract
DNA methylation is an essential epigenetic mark whose role in gene regulation and its dependency on genomic sequence and environment are not fully understood. In this study we provide novel insights into the mechanistic relationships between genetic variation, DNA methylation and transcriptome sequencing data in three different cell-types of the GenCord human population cohort. We find that the association between DNA methylation and gene expression variation among individuals are likely due to different mechanisms from those establishing methylation-expression patterns during differentiation. Furthermore, cell-type differential DNA methylation may delineate a platform in which local inter-individual changes may respond to or act in gene regulation. We show that unlike genetic regulatory variation, DNA methylation alone does not significantly drive allele specific expression. Finally, inferred mechanistic relationships using genetic variation as well as correlations with TF abundance reveal both a passive and active role of DNA methylation to regulatory interactions influencing gene expression. DOI:http://dx.doi.org/10.7554/eLife.00523.001 Variations occur throughout our genome. These variations can cause genes to be expressed (switched on) in slightly different ways among individuals. Moreover, the same gene can also be expressed in different ways in different cells within an individual. A third level of variation is supplied by epigenetic markers: these are molecules that bind to the DNA at specific points and can have profound effects on the expression of nearby genes. One such epigenetic marker is the addition of a methyl group to a cytosine base, a process that is known as DNA methylation. DNA methylation usually happens when a cytosine base is next to a guanine base, forming a CpG site. In mammals, most CpG sites have methyl groups attached, although regions with a lot of CpG sites (called CpG islands) are mostly unmethylated. Initial studies suggested that methylation prevented particular genes from being expressed, but more recent work has indicated that methylation can be associated with both reduced and increased expression of genes. Moreover, it is not clear if this association is active (i.e., changes in methylation drive changes in gene expression) or passive (DNA methylation is the result of gene regulation). Now, Gutierrez-Arcelus et al. have carried out a large-scale study to clarify the relationships between three different types of gene-related variations among individuals. They extracted fibroblasts, T-cells and lymphoblastoid cells from the umbilical cords of 204 babies, and analysed them for variations in DNA sequence, gene expression and DNA methylation. Their results show that the associations between the three are more complex than was previously thought. Gutierrez-Arcelus et al. show that the mechanisms that control the association between the variations in DNA methylation and gene expression in individuals are likely to be different to those that are responsible for the establishment of methylation patterns during the process of cell differentiation. They also find that the association between DNA methylation and gene expression can be either active or passive, and can depend on the context in which they occur in our genome. Finally, where the two copies or alleles of a gene are not equally expressed in a given cell, the difference in expression is primarily regulated by DNA sequence variation, with DNA methylation having little or no role on its own. Equally complex interactions and effects are expected in further studies of genetic and epigenetic variation. DOI:http://dx.doi.org/10.7554/eLife.00523.002
Collapse
Affiliation(s)
- Maria Gutierrez-Arcelus
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva, Geneva, Switzerland [corrected]; Swiss Institute of Bioinformatics, Geneva, Switzerland
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
123
|
Klug M, Schmidhofer S, Gebhard C, Andreesen R, Rehli M. 5-Hydroxymethylcytosine is an essential intermediate of active DNA demethylation processes in primary human monocytes. Genome Biol 2013; 14:R46. [PMID: 23705593 PMCID: PMC4053946 DOI: 10.1186/gb-2013-14-5-r46] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2012] [Accepted: 05/26/2013] [Indexed: 01/17/2023] Open
Abstract
Background Cytosine methylation is a frequent epigenetic modification restricting the activity of gene regulatory elements. Whereas DNA methylation patterns are generally inherited during replication, both embryonic and somatic differentiation processes require the removal of cytosine methylation at specific gene loci to activate lineage-restricted elements. However, the exact mechanisms facilitating the erasure of DNA methylation remain unclear in many cases. Results We previously established human post-proliferative monocytes as a model to study active DNA demethylation. We now show, for several previously identified genomic sites, that the loss of DNA methylation during the differentiation of primary, post-proliferative human monocytes into dendritic cells is preceded by the local appearance of 5-hydroxymethylcytosine. Monocytes were found to express the methylcytosine dioxygenase Ten-Eleven Translocation (TET) 2, which is frequently mutated in myeloid malignancies. The siRNA-mediated knockdown of this enzyme in primary monocytes prevented active DNA demethylation, suggesting that TET2 is essential for the proper execution of this process in human monocytes. Conclusions The work described here provides definite evidence that TET2-mediated conversion of 5-methylcytosine to 5-hydroxymethylcytosine initiates targeted, active DNA demethylation in a mature postmitotic myeloid cell type.
Collapse
|
124
|
Forni D, Cagliani R, Pozzoli U, Colleoni M, Riva S, Biasin M, Filippi G, De Gioia L, Gnudi F, Comi GP, Bresolin N, Clerici M, Sironi M. A 175 million year history of T cell regulatory molecules reveals widespread selection, with adaptive evolution of disease alleles. Immunity 2013; 38:1129-41. [PMID: 23707475 DOI: 10.1016/j.immuni.2013.04.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2012] [Accepted: 04/23/2013] [Indexed: 12/11/2022]
Abstract
T cell activation plays a central role in immune response and in the maintenance of self-tolerance. We analyzed the evolutionary history of T cell regulatory molecules. Nine genes involved in triggering T cell activation or in regulating the ensuing response evolved adaptively in mammals. Several positively selected sites overlap with positions interacting with the binding partner or with cellular components. Population genetic analysis in humans revealed a complex scenario of local (FASLG, CD40LG, HAVCR2) and worldwide (FAS, ICOSLG) adaptation and H. sapiens-to-Neandertal gene flow (gene transfer between populations). Disease variants in these genes are preferential targets of pathogen-driven selection, and a Crohn's disease risk polymorphism targeted by bacterial-driven selection modulates the expression of ICOSLG in response to a bacterial superantigen. Therefore, we used evolutionary information to generate experimentally testable hypotheses concerning the function of specific genetic variants and indicate that adaptation to infection underlies the maintenance of autoimmune risk alleles.
Collapse
Affiliation(s)
- Diego Forni
- Scientific Institute IRCCS E. Medea, 23842 Bosisio Parini, LC, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
125
|
Abstract
Regulatory T (Treg) cells are a developmentally and functionally distinct T cell subpopulation that is engaged in sustaining immunological self-tolerance and homeostasis. The transcription factor Foxp3 plays a key role in Treg cell development and function. However, expression of Foxp3 alone is not sufficient for conferring and maintaining Treg cell function and phenotype. Complementing the insufficiency, Treg-cell-specific epigenetic changes are also critical in the process of Treg cell specification, in regulating its potential plasticity, and hence in establishing a stable lineage. Understanding how epigenetic alterations and Foxp3 expression coordinately control Treg-cell-specific gene regulation will enable better control of immune responses by targeting the generation and maintenance of Treg cells.
Collapse
Affiliation(s)
- Naganari Ohkura
- Department of Experimental Immunology, World Premier International Immunology Frontier Research Center, Osaka University, Suita 565-0871, Japan.
| | | | | |
Collapse
|
126
|
Kitagawa Y, Ohkura N, Sakaguchi S. Molecular determinants of regulatory T cell development: the essential roles of epigenetic changes. Front Immunol 2013; 4:106. [PMID: 23675373 PMCID: PMC3650462 DOI: 10.3389/fimmu.2013.00106] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Accepted: 04/25/2013] [Indexed: 01/16/2023] Open
Abstract
Regulatory T (Treg) cells constitute a distinct T cell subset, which plays a key role in immune tolerance and homeostasis. The transcription factor Foxp3 controls a substantial part of Treg cell development and function. Yet its expression alone is insufficient for conferring developmental and functional characteristics of Treg cells. There is accumulating evidence that concurrent induction of Treg-specific epigenetic changes and Foxp3 expression is crucial for lineage specification and functional stability of Treg cells. This review discusses recent progress in our understanding of molecular features of Treg cells, in particular, the molecular basis of how a population of developing T cells is driven to the Treg cell lineage and how its function is stably maintained.
Collapse
Affiliation(s)
- Yohko Kitagawa
- Department of Experimental Immunology, World Premier International Immunology Frontier Research Center, Osaka University Suita, Japan
| | | | | |
Collapse
|
127
|
Regulatory T cells in allogeneic stem cell transplantation. Clin Dev Immunol 2013; 2013:608951. [PMID: 23737813 PMCID: PMC3662184 DOI: 10.1155/2013/608951] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2013] [Accepted: 04/15/2013] [Indexed: 01/02/2023]
Abstract
Growing evidence suggests that cellular adoptive immunotherapy is becoming an attractive though challenging approach in regulating tumor immunity and alloresponses in clinical transplantation. Naturally arising CD4+CD25+Foxp3+ regulatory T cells (Treg) have emerged as a key component in this regard. Over the last decade, a large body of evidence from preclinical models has demonstrated their crucial role in auto- and tumor immunity and has opened the door to their “first-in-man” clinical application. Initial studies in clinical allogeneic stem cell transplantation are very encouraging and may pave the way for other applications. Further improvements in Treg ex vivo or in vivo expansion technologies will simplify their global clinical application. In this review, we discuss the current knowledge of Treg biology and their potential for cell-based immunotherapy in allogeneic stem cell transplantation.
Collapse
|
128
|
Abstract
PURPOSE OF REVIEW Transfer of human regulatory T cells (Tregs) has become an attractive therapeutic alternative to improve the long-term outcome in transplantation and thus reduce the side-effects of conventional immunosuppressive drugs. Here, we summarize the recent findings on human Treg subsets, their phenotype and in-vivo function. RECENT FINDINGS In the last 2 years, it has become apparent that several Treg subsets exist that specifically regulate Th1-driven, Th2-driven, or Th17-driven immune responses; these subsets are very unstable and rapidly change their phenotype, for example, there is loss of Foxp3 expression upon extensive ex-vivo expansion and only the administration of rapamycin has been shown to be able to interfere reproducibly. New humanized mouse models incorporating human solid-organ grafts have been developed, which have been used to test the human Treg in-vivo function, and the first human Treg-cell products have been tested for safety and efficacy in stem cell transplantation. SUMMARY With the recent findings, we have gained a better understanding of Treg heterogeneity, plasticity and function. Using the outcomes of clinical trials in stem cell transplantation, we have learned that adoptive therapy of Tregs is well tolerated and we are now awaiting the first result in solid-organ transplantation from the 'ONE Study'.
Collapse
|
129
|
Namgaladze D, Kemmerer M, von Knethen A, Brüne B. AICAR inhibits PPARγ during monocyte differentiation to attenuate inflammatory responses to atherogenic lipids. Cardiovasc Res 2013; 98:479-87. [PMID: 23531513 DOI: 10.1093/cvr/cvt073] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
AIMS Transcriptional regulation through peroxisome proliferator-activated receptor γ (PPARγ) is critical for an altered lipid metabolism during monocyte to macrophage differentiation. Here, we investigated how 5-aminoimidazole-4-carboxamide riboside (AICAR), an activator of AMP-dependent protein kinase (AMPK), affects PPARγ during monocyte differentiation. METHODS AND RESULTS During the differentiation of THP-1 monocytic cells or primary human monocytes to macrophages, we observed that AICAR inhibited the expression of PPARγ target genes, such as fatty acid-binding protein 4 or CD36. This effect was independent of AICAR conversion to AICAR ribotide and AMPK activation. While AICAR increased PPARγ mRNA expression that paralleled differentiation, it inhibited PPARγ protein synthesis without affecting PPARγ protein stability. Monocytes differentiated to macrophages in the presence of AICAR revealed an attenuated uptake of oxidized low-density lipoprotein (oxLDL) and reduced oxLDL-triggered c-Jun N-terminal kinase (JNK) activation. JNK and endoplasmic reticulum stress responses to the saturated fatty acid palmitate were attenuated as well, an effect mimicked by the knockdown of PPARγ. Although PPARγ has been reported to support alternative macrophage activation, AICAR did not inhibit interleukin-4-induced gene expression in differentiating monocytes. CONCLUSION Inhibition of PPARγ-dependent gene expression during monocyte differentiation may contribute to an AICAR-elicited macrophage phenotype characterized by reduced inflammatory responses to modified lipoproteins and saturated fatty acids.
Collapse
Affiliation(s)
- Dmitry Namgaladze
- Faculty of Medicine, Institute of Biochemistry I/ZAFES, Goethe-University Frankfurt, Theodor-Stern-Kai 7, Frankfurt 60590 Germany
| | | | | | | |
Collapse
|
130
|
Hashimoto SI, Ogoshi K, Sasaki A, Abe J, Qu W, Nakatani Y, Ahsan B, Oshima K, Shand FHW, Ametani A, Suzuki Y, Kaneko S, Wada T, Hattori M, Sugano S, Morishita S, Matsushima K. Coordinated changes in DNA methylation in antigen-specific memory CD4 T cells. THE JOURNAL OF IMMUNOLOGY 2013; 190:4076-91. [PMID: 23509353 DOI: 10.4049/jimmunol.1202267] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Memory CD4(+) T cells are central regulators of both humoral and cellular immune responses. T cell differentiation results in specific changes in chromatin structure and DNA methylation of cytokine genes. Although the methylation status of a limited number of gene loci in T cells has been examined, the genome-wide DNA methylation status of memory CD4(+) T cells remains unexplored. To further elucidate the molecular signature of memory T cells, we conducted methylome and transcriptome analyses of memory CD4(+) T cells generated using T cells from TCR-transgenic mice. The resulting genome-wide DNA methylation profile revealed 1144 differentially methylated regions (DMRs) across the murine genome during the process of T cell differentiation, 552 of which were associated with gene loci. Interestingly, the majority of these DMRs were located in introns. These DMRs included genes such as CXCR6, Tbox21, Chsy1, and Cish, which are associated with cytokine production, homing to bone marrow, and immune responses. Methylation changes in memory T cells exposed to specific Ag appeared to regulate enhancer activity rather than promoter activity of immunologically relevant genes. In addition, methylation profiles differed between memory T cell subsets, demonstrating a link between T cell methylation status and T cell differentiation. By comparing DMRs between naive and Ag-specific memory T cells, this study provides new insights into the functional status of memory T cells.
Collapse
Affiliation(s)
- Shin-ichi Hashimoto
- Department of Molecular Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
131
|
Abstract
Methylation of the cytosine base in DNA, DNA methylation, is an essential epigenetic mark in mammals that contributes to the regulation of transcription. Several advances have been made in this area in recent years, leading to a leap forward in our understanding of how this pathway contributes to gene regulation during embryonic development, and the functional consequences of its perturbation in human disease. Critical to these advances is a comprehension of the genomic distribution of modified cytosine bases in unprecedented detail, drawing attention to genomic regions beyond gene promoters. In addition, we have a more complete understanding of the multifactorial manner by which DNA methylation influences gene regulation at the molecular level, and which genes rely directly on the DNA methylome for their normal transcriptional regulation. It is becoming apparent that a major role of DNA modification is to act as a relatively stable, and mitotically heritable, template that contributes to the establishment and maintenance of chromatin states. In this regard, interplay is emerging between DNA methylation and the PcG (Polycomb group) proteins, which act as evolutionarily conserved mediators of cell identity. In the present paper we review these aspects of DNA methylation, and discuss how a multifunctional view of DNA modification as an integral part of chromatin organization is influencing our understanding of this epigenetic mark's contribution to transcriptional regulation.
Collapse
|
132
|
Calo E, Wysocka J. Modification of enhancer chromatin: what, how, and why? Mol Cell 2013; 49:825-37. [PMID: 23473601 PMCID: PMC3857148 DOI: 10.1016/j.molcel.2013.01.038] [Citation(s) in RCA: 1012] [Impact Index Per Article: 92.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2012] [Revised: 01/28/2013] [Accepted: 01/30/2013] [Indexed: 01/01/2023]
Abstract
Emergence of form and function during embryogenesis arises in large part through cell-type- and cell-state-specific variation in gene expression patterns, mediated by specialized cis-regulatory elements called enhancers. Recent large-scale epigenomic mapping revealed unexpected complexity and dynamics of enhancer utilization patterns, with 400,000 putative human enhancers annotated by the ENCODE project alone. These large-scale efforts were largely enabled through the understanding that enhancers share certain stereotypical chromatin features. However, an important question still lingers: what is the functional significance of enhancer chromatin modification? Here we give an overview of enhancer-associated modifications of histones and DNA and discuss enzymatic activities involved in their dynamic deposition and removal. We describe potential downstream effectors of these marks and propose models for exploring functions of chromatin modification in regulating enhancer activity during development.
Collapse
Affiliation(s)
- Eliezer Calo
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | |
Collapse
|
133
|
Marabita F, Almgren M, Lindholm ME, Ruhrmann S, Fagerström-Billai F, Jagodic M, Sundberg CJ, Ekström TJ, Teschendorff AE, Tegnér J, Gomez-Cabrero D. An evaluation of analysis pipelines for DNA methylation profiling using the Illumina HumanMethylation450 BeadChip platform. Epigenetics 2013; 8:333-46. [PMID: 23422812 PMCID: PMC3669124 DOI: 10.4161/epi.24008] [Citation(s) in RCA: 164] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The proper identification of differentially methylated CpGs is central in most epigenetic studies. The Illumina HumanMethylation450 BeadChip is widely used to quantify DNA methylation; nevertheless, the design of an appropriate analysis pipeline faces severe challenges due to the convolution of biological and technical variability and the presence of a signal bias between Infinium I and II probe design types. Despite recent attempts to investigate how to analyze DNA methylation data with such an array design, it has not been possible to perform a comprehensive comparison between different bioinformatics pipelines due to the lack of appropriate data sets having both large sample size and sufficient number of technical replicates. Here we perform such a comparative analysis, targeting the problems of reducing the technical variability, eliminating the probe design bias and reducing the batch effect by exploiting two unpublished data sets, which included technical replicates and were profiled for DNA methylation either on peripheral blood, monocytes or muscle biopsies. We evaluated the performance of different analysis pipelines and demonstrated that: (1) it is critical to correct for the probe design type, since the amplitude of the measured methylation change depends on the underlying chemistry; (2) the effect of different normalization schemes is mixed, and the most effective method in our hands were quantile normalization and Beta Mixture Quantile dilation (BMIQ); (3) it is beneficial to correct for batch effects. In conclusion, our comparative analysis using a comprehensive data set suggests an efficient pipeline for proper identification of differentially methylated CpGs using the Illumina 450K arrays.
Collapse
Affiliation(s)
- Francesco Marabita
- Unit of Computational Medicine, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
134
|
Su MY, Steiner LA, Bogardus H, Mishra T, Schulz VP, Hardison RC, Gallagher PG. Identification of biologically relevant enhancers in human erythroid cells. J Biol Chem 2013; 288:8433-8444. [PMID: 23341446 DOI: 10.1074/jbc.m112.413260] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Identification of cell type-specific enhancers is important for understanding the regulation of programs controlling cellular development and differentiation. Enhancers are typically marked by the co-transcriptional activator protein p300 or by groups of cell-expressed transcription factors. We hypothesized that a unique set of enhancers regulates gene expression in human erythroid cells, a highly specialized cell type evolved to provide adequate amounts of oxygen throughout the body. Using chromatin immunoprecipitation followed by massively parallel sequencing, genome-wide maps of candidate enhancers were constructed for p300 and four transcription factors, GATA1, NF-E2, KLF1, and SCL, using primary human erythroid cells. These data were combined with gene expression analyses, and candidate enhancers were identified. Consistent with their predicted function as candidate enhancers, there was statistically significant enrichment of p300 and combinations of co-localizing erythroid transcription factors within 1-50 kb of the transcriptional start site (TSS) of genes highly expressed in erythroid cells. Candidate enhancers were also enriched near genes with known erythroid cell function or phenotype. Candidate enhancers exhibited moderate conservation with mouse and minimal conservation with nonplacental vertebrates. Candidate enhancers were mapped to a set of erythroid-associated, biologically relevant, SNPs from the genome-wide association studies (GWAS) catalogue of NHGRI, National Institutes of Health. Fourteen candidate enhancers, representing 10 genetic loci, mapped to sites associated with biologically relevant erythroid traits. Fragments from these loci directed statistically significant expression in reporter gene assays. Identification of enhancers in human erythroid cells will allow a better understanding of erythroid cell development, differentiation, structure, and function and provide insights into inherited and acquired hematologic disease.
Collapse
Affiliation(s)
- Mack Y Su
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut 06520
| | - Laurie A Steiner
- Department of Pediatrics, University of Rochester, Rochester, New York 14642
| | - Hannah Bogardus
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut 06520
| | - Tejaswini Mishra
- Department of Biochemistry and Molecular Biology, Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802
| | - Vincent P Schulz
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut 06520
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802
| | - Patrick G Gallagher
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut 06520; Departments of Pathology and Genetics, Yale University School of Medicine, New Haven, Connecticut 06520.
| |
Collapse
|
135
|
Joubert BR, Håberg SE, Nilsen RM, Wang X, Vollset SE, Murphy SK, Huang Z, Hoyo C, Midttun Ø, Cupul-Uicab LA, Ueland PM, Wu MC, Nystad W, Bell DA, Peddada SD, London SJ. 450K epigenome-wide scan identifies differential DNA methylation in newborns related to maternal smoking during pregnancy. ENVIRONMENTAL HEALTH PERSPECTIVES 2012; 120:1425-31. [PMID: 22851337 PMCID: PMC3491949 DOI: 10.1289/ehp.1205412] [Citation(s) in RCA: 543] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2012] [Accepted: 07/25/2012] [Indexed: 05/17/2023]
Abstract
BACKGROUND Epigenetic modifications, such as DNA methylation, due to in utero exposures may play a critical role in early programming for childhood and adult illness. Maternal smoking is a major risk factor for multiple adverse health outcomes in children, but the underlying mechanisms are unclear. OBJECTIVE We investigated epigenome-wide methylation in cord blood of newborns in relation to maternal smoking during pregnancy. METHODS We examined maternal plasma cotinine (an objective biomarker of smoking) measured during pregnancy in relation to DNA methylation at 473,844 CpG sites (CpGs) in 1,062 newborn cord blood samples from the Norwegian Mother and Child Cohort Study (MoBa) using the Infinium HumanMethylation450 BeadChip (450K). RESULTS We found differential DNA methylation at epigenome-wide statistical significance (p-value < 1.06 × 10-7) for 26 CpGs mapped to 10 genes. We replicated findings for CpGs in AHRR, CYP1A1, and GFI1 at strict Bonferroni-corrected statistical significance in a U.S. birth cohort. AHRR and CYP1A1 play a key role in the aryl hydrocarbon receptor signaling pathway, which mediates the detoxification of the components of tobacco smoke. GFI1 is involved in diverse developmental processes but has not previously been implicated in responses to tobacco smoke. CONCLUSIONS We identified a set of genes with methylation changes present at birth in children whose mothers smoked during pregnancy. This is the first study of differential methylation across the genome in relation to maternal smoking during pregnancy using the 450K platform. Our findings implicate epigenetic mechanisms in the pathogenesis of the adverse health outcomes associated with this important in utero exposure.
Collapse
Affiliation(s)
- Bonnie R Joubert
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina 27709, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
136
|
Souaiaia T, Zhang Z, Chen T. FadE: whole genome methylation analysis for multiple sequencing platforms. Nucleic Acids Res 2012; 41:e14. [PMID: 22965123 PMCID: PMC3592442 DOI: 10.1093/nar/gks830] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
DNA methylation plays a central role in genomic regulation and disease. Sodium bisulfite treatment (SBT) causes unmethylated cytosines to be sequenced as thymine, which allows methylation levels to reflected in the number of ‘C’-‘C’ alignments covering reference cytosines. Di-base color reads produced by lifetech’s SOLiD sequencer provide unreliable results when translated to bases because single sequencing errors effect the downstream sequence. We describe FadE, an algorithm to accurately determine genome-wide methylation rates directly in color or nucleotide space. FadE uses SBT unmethylated and untreated data to determine background error rates and incorporate them into a model which uses Newton–Raphson optimization to estimate the methylation rate and provide a credible interval describing its distribution at every reference cytosine. We sequenced two slides of human fibroblast cell-line bisulfite-converted fragment library with the SOLiD sequencer to investigate genome-wide methylation levels. FadE reported widespread differences in methylation levels across CpG islands and a large number of differentially methylated regions adjacent to genes which compares favorably to the results of an investigation on the same cell-line using nucleotide-space reads at higher coverage levels, suggesting that FadE is an accurate method to estimate genome-wide methylation with color or nucleotide reads. http://code.google.com/p/fade/.
Collapse
Affiliation(s)
- Tade Souaiaia
- Program in Computational Biology and Bioinformatics, University of Southern California, 1050 Childs Way, RRI 201, Los Angeles, CA 90089, USA
| | | | | |
Collapse
|
137
|
Abstract
Different cell types within a single organism are generally distinguished by strikingly different patterns of gene expression, which are dynamic throughout development and adult life. Distal enhancer elements are key drivers of spatiotemporal specificity in gene regulation. Often located tens of kilobases from their target promoters and functioning in an orientation-independent manner, the identification of bona fide enhancers has proved a formidable challenge. With the development of ChIP-seq, global cataloging of putative enhancers has become feasible. Here, we review the current understanding of the chromatin landscape at enhancers and how these chromatin features enable robust identification of tissue-specific enhancers.
Collapse
Affiliation(s)
- Gabriel E Zentner
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | | |
Collapse
|
138
|
Kubosaki A, Tomaru Y, Furuhata E, Suzuki T, Shin JW, Simon C, Ando Y, Hasegawa R, Hayashizaki Y, Suzuki H. CpG site-specific alteration of hydroxymethylcytosine to methylcytosine beyond DNA replication. Biochem Biophys Res Commun 2012; 426:141-7. [PMID: 22925887 DOI: 10.1016/j.bbrc.2012.08.053] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2012] [Accepted: 08/11/2012] [Indexed: 01/21/2023]
Abstract
Hydroxymethylcytosines (hmC), one of several reported cytosine modifications, was recently found to be enriched in embryonic stem cells and neuronal cells, and thought to play an important role in regulating gene expression and cell specification. However, unlike methylcytosines (mC), the fate of hmC beyond DNA replication is not well understood. Here, to monitor the status of hmC during DNA replication, we prepared a stable episomal vector-based monitoring system called MoCEV in 293T cells. The MoCEV system containing fully hydroxymethylated-cytosine fragments revealed a significant modification towards mC after several rounds of DNA replication. Strikingly this modification was specifically observed at the CpG sites (71.9% of cytosines), whereas only 1.1% of modified cytosines were detected at the non-CpG sites. Since the unmodified MoCEV did not undergo any DNA methylation during cell division, the results strongly suggest that somatic cells undergo hmC to mC specifically at the CpG sites during cell division.
Collapse
Affiliation(s)
- Atsutaka Kubosaki
- RIKEN Omics Science Center, 1-7-22 Suehiro-cho, Yokohama, Kanagawa 230-0045, Japan.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
139
|
Sérandour AA, Avner S, Oger F, Bizot M, Percevault F, Lucchetti-Miganeh C, Palierne G, Gheeraert C, Barloy-Hubler F, Péron CL, Madigou T, Durand E, Froguel P, Staels B, Lefebvre P, Métivier R, Eeckhoute J, Salbert G. Dynamic hydroxymethylation of deoxyribonucleic acid marks differentiation-associated enhancers. Nucleic Acids Res 2012; 40:8255-65. [PMID: 22730288 PMCID: PMC3458548 DOI: 10.1093/nar/gks595] [Citation(s) in RCA: 150] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Enhancers are developmentally controlled transcriptional regulatory regions whose activities are modulated through histone modifications or histone variant deposition. In this study, we show by genome-wide mapping that the newly discovered deoxyribonucleic acid (DNA) modification 5-hydroxymethylcytosine (5hmC) is dynamically associated with transcription factor binding to distal regulatory sites during neural differentiation of mouse P19 cells and during adipocyte differentiation of mouse 3T3-L1 cells. Functional annotation reveals that regions gaining 5hmC are associated with genes expressed either in neural tissues when P19 cells undergo neural differentiation or in adipose tissue when 3T3-L1 cells undergo adipocyte differentiation. Furthermore, distal regions gaining 5hmC together with H3K4me2 and H3K27ac in P19 cells behave as differentiation-dependent transcriptional enhancers. Identified regions are enriched in motifs for transcription factors regulating specific cell fates such as Meis1 in P19 cells and PPARγ in 3T3-L1 cells. Accordingly, a fraction of hydroxymethylated Meis1 sites were associated with a dynamic engagement of the 5-methylcytosine hydroxylase Tet1. In addition, kinetic studies of cytosine hydroxymethylation of selected enhancers indicated that DNA hydroxymethylation is an early event of enhancer activation. Hence, acquisition of 5hmC in cell-specific distal regulatory regions may represent a major event of enhancer progression toward an active state and participate in selective activation of tissue-specific genes.
Collapse
Affiliation(s)
- Aurélien A Sérandour
- Université de Rennes 1, CNRS UMR6290, Team SP@RTE, Campus de Beaulieu, Rennes F-35042, France
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
140
|
Zhang FF, Santella RM, Wolff M, Kappil MA, Markowitz SB, Morabia A. White blood cell global methylation and IL-6 promoter methylation in association with diet and lifestyle risk factors in a cancer-free population. Epigenetics 2012; 7:606-14. [PMID: 22531363 DOI: 10.4161/epi.20236] [Citation(s) in RCA: 77] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Altered levels of global DNA methylation and gene silencing through methylation of promoter regions can impact cancer risk, but little is known about their environmental determinants. We examined the association between lifestyle factors and levels of global genomic methylation and IL-6 promoter methylation in white blood cell DNA of 165 cancer-free subjects, 18-78 years old, enrolled in the COMIR (Commuting Mode and Inflammatory Response) study, New York, 2009-2010. Besides self-administrated questionnaires on diet and physical activity, we measured weight and height, white blood cell (WBC) counts, plasma levels of high sensitivity C-reactive protein (hs-CRP), and genomic (LINE-1) and gene-specific methylation (IL-6) by pyrosequencing in peripheral blood WBC. Mean levels of LINE-1 and IL-6 promoter methylation were 78.2% and 57.1%, respectively. In multivariate linear regression models adjusting for age, gender, race/ethnicity, body mass index, diet, physical activity, WBC counts and CRP, only dietary folate intake from fortified foods was positively associated with LINE-1 methylation. Levels of IL-6 promoter methylation were not significantly correlated with age, gender, race/ethnicity, body mass index, physical activity or diet, including overall dietary patterns and individual food groups and nutrients. There were no apparent associations between levels of methylation and inflammation markers such as WBC counts and hs-CRP. Overall, among several lifestyle factors examined in association with DNA methylation, only dietary folate intake from fortification was associated with LINE-1 methylation. The long-term consequence of folate fortification on DNA methylation needs to be further evaluated in longitudinal settings.
Collapse
Affiliation(s)
- Fang Fang Zhang
- Department of Nutrition Science; Friedman School of Nutrition Science and Policy; Tufts University; Boston, MA, USA.
| | | | | | | | | | | |
Collapse
|
141
|
Li Y, Chen G, Ma L, Ohms SJ, Sun C, Shannon MF, Fan JY. Plasticity of DNA methylation in mouse T cell activation and differentiation. BMC Mol Biol 2012; 13:16. [PMID: 22642378 PMCID: PMC3386888 DOI: 10.1186/1471-2199-13-16] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Accepted: 05/29/2012] [Indexed: 01/09/2023] Open
Abstract
Background Circulating CD4+ T helper cells are activated through interactions with antigen presenting cells and undergo differentiation into specific T helper cell subsets depending on the type of antigen encountered. In addition, the relative composition of the circulating CD4+ T cell population changes as animals mature with an increased percentage of the population being memory/effector type cells. Results Here, we report on the highly plastic nature of DNA methylation at the genome-wide level as T cells undergo activation, differentiation and aging. Of particular note were the findings that DNA demethylation occurred rapidly following T cell activation and that all differentiated T cell populations displayed lower levels of global methylation than the non-differentiated population. In addition, T cells from older mice had a reduced level of DNA methylation, most likely explained by the increase in the memory/effector cell fraction. Although significant genome-wide changes were observed, changes in DNA methylation at individual genes were restricted to specific cell types. Changes in the expression of enzymes involved in DNA methylation and demethylation reflect in most cases the changes observed in the genome-wide DNA methylation status. Conclusion We have demonstrated that DNA methylation is dynamic and flexible in CD4+ T cells and changes rapidly both in a genome-wide and in a targeted manner during T cell activation, differentiation. These changes are accompanied by parallel changes in the enzymatic complexes that have been implicated in DNA methylation and demethylation implying that the balance between these opposing activities may play a role in the maintaining the methylation profile of a given cell type but also allow flexibility in a cell population that needs to respond rapidly to environmental signals.
Collapse
Affiliation(s)
- Yan Li
- College of Animal Science & Technology, Northwest A&F University, Yangling Shaanxi 712100, P. R. China
| | | | | | | | | | | | | |
Collapse
|
142
|
Abstract
DNA methylation is frequently described as a 'silencing' epigenetic mark, and indeed this function of 5-methylcytosine was originally proposed in the 1970s. Now, thanks to improved genome-scale mapping of methylation, we can evaluate DNA methylation in different genomic contexts: transcriptional start sites with or without CpG islands, in gene bodies, at regulatory elements and at repeat sequences. The emerging picture is that the function of DNA methylation seems to vary with context, and the relationship between DNA methylation and transcription is more nuanced than we realized at first. Improving our understanding of the functions of DNA methylation is necessary for interpreting changes in this mark that are observed in diseases such as cancer.
Collapse
|
143
|
Auclair G, Weber M. Mechanisms of DNA methylation and demethylation in mammals. Biochimie 2012; 94:2202-11. [PMID: 22634371 DOI: 10.1016/j.biochi.2012.05.016] [Citation(s) in RCA: 106] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2012] [Accepted: 05/15/2012] [Indexed: 12/18/2022]
Abstract
Cytosine methylation is an epigenetically propagated DNA modification that can modify how the DNA molecule is recognized and expressed. DNA methylation undergoes extensive reprogramming during mammalian embryogenesis and is directly linked to the regulation of pluripotency and cellular identity. Studying its regulation is also important for a better understanding of the many diseases that show epigenetic deregulations, in particular, cancer. In the recent years, a lot of progress has been made to characterize the profiles of DNA methylation at the genome level, which revealed that patterns of DNA methylation are highly dynamic between cell types. Here, we discuss the importance of DNA methylation for genome regulation and the mechanisms that remodel the DNA methylome during mammalian development, in particular the involvement of the rediscovered modified base 5-hydroxymethylcytosine.
Collapse
Affiliation(s)
- Ghislain Auclair
- UMR 7242, Biotechnology and Cell Signalling, Université de Strasbourg, CNRS, ESBS, Bd Sébastien Brant, BP 10413, 67412 Illkirch Cedex, France
| | | |
Collapse
|
144
|
Perisic T, Holsboer F, Rein T, Zschocke J. The CpG island shore of the GLT-1 gene acts as a methylation-sensitive enhancer. Glia 2012; 60:1345-55. [PMID: 22593010 DOI: 10.1002/glia.22353] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2012] [Accepted: 04/18/2012] [Indexed: 12/25/2022]
Abstract
Astrocytic lineage commitment and brain region-dependent specialization of glia are partly ascribed to epigenetic processes. Clearance of glutamate is an essential task, which astrocytes assume in a temporal-spatial fashion by distinct glutamate transporter expression. Glutamate transporter subtype 1 (GLT-1) is predominant in cortex (CTX), while it plays an inferior role in cerebellum (CER). Here, we set out to identify regulatory elements that could account for the differences in brain region-specific activity as well as response to dexamethasone (DEX) or epigenetic factors. We found a distal promoter element at the shore of the CpG island exhibiting enhancer function in response to DEX in reporter gene assays. This shore region showed slight enrichment in repressive trimethyl-histone H3 (Lys27) and under-representation of acetyl-histone H4 (H4ac) marks in DEX nonresponsive CER astrocytes as determined by chromatin immunoprecipitation. In addition, CpG sites of the shore region displayed higher methylation in CER than in CTX cells. Targeted in vitro methylation of CpG sites within the shore abrogated the stimulatory effects of DEX. Interestingly, the shore was characterized by a pronounced epigenetic plasticity in CTX cells since DEX exposure elicited an increase of H4ac in CTX in comparison to DEX nonresponsive CER. The transcriptional activity of this region was also affected by histone deacetylase inhibitors in a methylation- and brain region-dependent manner. Together, our study highlights the impact of an epigenetically adaptive DNA element of the GLT-1 promoter being decisive for brain region-specific activity and reactivity.
Collapse
Affiliation(s)
- Tatjana Perisic
- Chaperone Research Group, Max Planck Institute of Psychiatry, Munich, Germany
| | | | | | | |
Collapse
|
145
|
Dynamic epigenetic enhancer signatures reveal key transcription factors associated with monocytic differentiation states. Blood 2012; 119:e161-71. [PMID: 22550342 DOI: 10.1182/blood-2012-01-402453] [Citation(s) in RCA: 114] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Cellular differentiation is orchestrated by lineage-specific transcription factors and associated with cell type-specific epigenetic signatures. In the present study, we used stage-specific, epigenetic "fingerprints" to deduce key transcriptional regulators of the human monocytic differentiation process. We globally mapped the distribution of epigenetic enhancer marks (histone H3 lysine 4 monomethylation, histone H3 lysine 27 acetylation, and the histone variant H2AZ), describe general properties of marked regions, and show that cell type-specific epigenetic "fingerprints" are correlated with specific, de novo-derived motif signatures at all of the differentiation stages studied (ie, hematopoietic stem cells, monocytes, and macrophages). We validated the novel, de novo-derived, macrophage-specific enhancer signature, which included ETS, CEBP, bZIP, EGR, E-Box and NF-κB motifs, by ChIP sequencing for a subset of motif corresponding transcription factors (PU.1, C/EBPβ, and EGR2), confirming their association with differentiation-associated epigenetic changes. We describe herein the dynamic enhancer landscape of human macrophage differentiation, highlight the power of genome-wide epigenetic profiling studies to reveal novel functional insights, and provide a unique resource for macrophage biologists.
Collapse
|
146
|
Seelan RS, Pisano MM, Greene RM, Casanova MF, Parthasarathy RN. Differential methylation of the gene encoding myo-inositol 3-phosphate synthase (Isyna1) in rat tissues. Epigenomics 2012; 3:111-24. [PMID: 21841945 DOI: 10.2217/epi.10.73] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
AIMS Myo-inositol levels are frequently altered in several brain disorders. Myo-inositol 3-phosphate synthase, encoded by the Isyna1 gene, catalyzes the synthesis of myo-inositol in cells. Very little is known about the mechanisms regulating Isyna1 expression in brain and other tissues. In this study, we have examined the role of DNA methylation in regulating Isyna1 expression in rat tissues. MATERIALS & METHODS Transfection analysis using in vitro methylated promoter constructs, Southern blot analysis of genomic DNA from various tissues digested with a methylation-sensitive enzyme and CpG methylation profiling of genomic DNA from different tissues were used to determine differential methylation of Isyna1 in tissues. Transfection analysis using plasmids harboring mutated CpG residues in the 5'-upstream region of Isyna1 was used to identify critical residues mediating promoter activity. RESULTS The -700 bp to -500 bp region (region 1) of Isyna1 exhibited increased methylation in brain cortex compared with other tissues; it also exhibited sex-specific methylation differences between matched male and female brain cortices. Mutation analysis identified one CpG residue in region 1 necessary for promoter activity in neuronal cells. A tissue-specific differentially methylated region (T-DMR) was found to be localized between +450 bp and +650 bp (region 3). This DMR was comparatively highly methylated in spleen, moderately methylated in brain cortex and poorly methylated in testis, consistent with mRNA levels observed in these tissues. CONCLUSION Rat Isyna1 exhibits tissue-specific DNA methylation. Brain DNA was uniquely methylated in the 5'-upstream region and displayed gender specificity. A T-DMR was identified within the gene body of Isyna1. These findings suggest that Isyna1 is regulated, in part, by DNA methylation and that significant alterations in methylation patterns during development could have a major impact on inositol phosphate synthase expression in later life.
Collapse
Affiliation(s)
- Ratnam S Seelan
- Molecular, Cellular & Craniofacial Biology, Birth Defects Center, University of Louisville, 501 S. Preston St, KY 40292, USA.
| | | | | | | | | |
Collapse
|
147
|
Durham A, Chou PC, Kirkham P, Adcock IM. Epigenetics in asthma and other inflammatory lung diseases. Epigenomics 2012; 2:523-37. [PMID: 22121972 DOI: 10.2217/epi.10.27] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Asthma is a chronic inflammatory disease of the airways. The causes of asthma and other inflammatory lung diseases are thought to be both environmental and heritable. Genetic studies do not adequately explain the heritability and susceptabilty to the disease, and recent evidence suggests that epigentic changes may underlie these processes. Epigenetics are heritable noncoding changes to DNA and can be influenced by environmental factors such as smoking and traffic pollution, which can cause genome-wide and gene-specific changes in DNA methylation. In addition, alterations in histone acetyltransferase/deacetylase activities can be observed in the cells of patients with lung diseases such as severe asthma and chronic obstructive pulmonary disease, and are often linked to smoking. Drugs such as glucocorticoids, which are used to control inflammation, are dependent on histone deacetylase activity, which may be important in patients with severe asthma and chronic obstructive pulmonary disease who do not respond well to glucocorticoid therapy. Future work targeting specific histone acetyltransferases/deacetylases or (de)methylases may prove to be effective future anti-inflammatory treatments for patients with treatment-unresponsive asthma.
Collapse
Affiliation(s)
- Andrew Durham
- Airways Disease Section, National Heart & Lung Institute, Imperial College, Dovehouse Street, London, SW3 6LY, UK.
| | | | | | | |
Collapse
|
148
|
Enhancers: emerging roles in cell fate specification. EMBO Rep 2012; 13:423-30. [PMID: 22491032 DOI: 10.1038/embor.2012.52] [Citation(s) in RCA: 113] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2012] [Accepted: 03/22/2012] [Indexed: 01/01/2023] Open
Abstract
Enhancers are regulatory DNA elements that dictate the spatial and temporal patterns of gene expression during development. Recent evidence suggests that the distinct chromatin features of enhancer regions provide the permissive landscape required for the differential access of diverse signalling molecules that drive cell-specific gene expression programmes. The epigenetic patterning of enhancers occurs before cell fate decisions, suggesting that the epigenetic information required for subsequent differentiation processes is embedded within the enhancer element. Lineage studies indicate that the patterning of enhancers might be regulated by the intricate interplay between DNA methylation status, the binding of specific transcription factors to enhancers and existing histone modifications. In this review, we present insights into the mechanisms of enhancer function, which might ultimately facilitate cell reprogramming strategies for use in regenerative medicine.
Collapse
|
149
|
Abstract
Gene-distal cis-regulatory sequences, such as enhancers, are key contributors of tissue-specific gene expression. In particular, enhancers can be located up to hundreds of kilobases from the promoters that they control, making their identification challenging. Thanks to the recent technological advances to map histone modifications and chromatin-associated factors genome-wide, several studies have begun to characterize chromatin signatures of active enhancers. Here, we discuss some of these results and how they provide new insights into the tissue-specific organization of enhancer repertoires.
Collapse
|
150
|
Abstract
Orofacial clefts occur with a frequency of 1 to 2 per 1000 live births. Cleft palate, which accounts for 30% of orofacial clefts, is caused by the failure of the secondary palatal processes--medially directed, oral projections of the paired embryonic maxillary processes--to fuse. Both gene mutations and environmental effects contribute to the complex etiology of this disorder. Although much progress has been made in identifying genes whose mutations are associated with cleft palate, little is known about the mechanisms by which the environment adversely influences gene expression during secondary palate development. An increasing body of evidence, however, implicates epigenetic processes as playing a role in adversely influencing orofacial development. Epigenetics refers to inherited changes in phenotype or gene expression caused by processes other than changes in the underlying DNA sequence. Such processes include, but are not limited to, DNA methylation, microRNA effects, and histone modifications that alter chromatin conformation. In this review, we describe our current understanding of the possible role epigenetics may play during development of the secondary palate. Specifically, we present the salient features of the embryonic palatal methylome and profile the expression of numerous microRNAs that regulate protein-encoding genes crucial to normal orofacial ontogeny.
Collapse
Affiliation(s)
- Ratnam S Seelan
- Department of Molecular, Cellular and Craniofacial Biology, Birth Defects Center, ULSD, University of Louisville, 501 S. Preston Street, Louisville, KY 40202, USA
| | | | | | | |
Collapse
|