201
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Yuan XL, Zhang Z, Li B, Gao N, Zhang H, Sangild PT, Li JQ. Genome-wide DNA methylation analysis of the porcine hypothalamus-pituitary-ovary axis. Sci Rep 2017; 7:4277. [PMID: 28655931 PMCID: PMC5487323 DOI: 10.1038/s41598-017-04603-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 04/03/2017] [Indexed: 12/21/2022] Open
Abstract
Previous studies have suggested that DNA methylation in both CpG and CpH (where H = C, T or A) contexts plays a critical role in biological functions of different tissues. However, the genome-wide DNA methylation patterns of porcine hypothalamus-pituitary-ovary (HPO) tissues remain virtually unexplored. In this study, methylomes of HPO tissues were profiled to investigate their differences and similarities. We found that HPO methylomes displayed tissue-specific methylation patterns in both CpG and CpH contexts. At gene locations, the methylation and density of CpGs was negatively linked at transcription start sites but positively linked at transcription end sites. The densities of CpGs and CpHs at CpG island (CGI) locations were negatively correlated with their methylation. Moreover, the methylation interactions between CGIs and genes showed similar pattern in the CpG context but tissue-specific pattern in the CpH context. CpGs located in CGIs, upstream regions and exons were protected from methylation dynamics, whereas CGI shores, CGI shelves and intergenic regions were more likely to be targets of methylation changes. The methylation dynamics enriching in a tissue-specific manner appeared to maintain and establish the biological functions of HPO tissues. Our analyses provided valuable insights into the tissue-specific methylomes of porcine HPO tissues.
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Affiliation(s)
- Xiao-Long Yuan
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Centre for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Section of Comparative Pediatrics and Nutrition, Department of Veterinary Clinical and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Zhe Zhang
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Centre for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Bin Li
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Centre for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Ning Gao
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Centre for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Department of Animal Sciences, Georg-August University, Albrecht Thaer-Weg 3, Göttingen, Germany
| | - Hao Zhang
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Centre for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Per Torp Sangild
- Section of Comparative Pediatrics and Nutrition, Department of Veterinary Clinical and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Jia-Qi Li
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Centre for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China.
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202
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Beygo J, Küchler A, Gillessen-Kaesbach G, Albrecht B, Eckle J, Eggermann T, Gellhaus A, Kanber D, Kordaß U, Lüdecke HJ, Purmann S, Rossier E, van de Nes J, van der Werf IM, Wenzel M, Wieczorek D, Horsthemke B, Buiting K. New insights into the imprinted MEG8-DMR in 14q32 and clinical and molecular description of novel patients with Temple syndrome. Eur J Hum Genet 2017. [PMID: 28635951 DOI: 10.1038/ejhg.2017.91] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The chromosomal region 14q32 contains several imprinted genes, which are expressed either from the paternal (DLK1 and RTL1) or the maternal (MEG3, RTL1as and MEG8) allele only. Imprinted expression of these genes is regulated by two differentially methylated regions (DMRs), the germline DLK1/MEG3 intergenic (IG)-DMR (MEG3/DLK1:IG-DMR) and the somatic MEG3-DMR (MEG3:TSS-DMR), which are methylated on the paternal and unmethylated on the maternal allele. Disruption of imprinting in the 14q32 region results in two clinically distinct imprinting disorders, Temple syndrome (TS14) and Kagami-Ogata syndrome (KOS14). Another DMR with a yet unknown function is located in intron 2 of MEG8 (MEG8-DMR, MEG8:Int2-DMR). In contrast to the IG-DMR and the MEG3-DMR, this somatic DMR is methylated on the maternal chromosome and unmethylated on the paternal chromosome. We have performed extensive methylation analyses by deep bisulfite sequencing of the IG-DMR, MEG3-DMR and MEG8-DMR in different prenatal tissues including amniotic fluid cells and chorionic villi. In addition, we have studied the methylation pattern of the MEG8-DMR in different postnatal tissues. We show that the MEG8-DMR is hypermethylated in each of 13 non-deletion TS14 patients (seven newly identified and six previously published patients), irrespective of the underlying molecular cause, and is always hypomethylated in the four patients with KOS14, who have different deletions not encompassing the MEG8-DMR itself. The size and the extent of the deletions and the resulting methylation pattern suggest that transcription starting from the MEG3 promoter may be necessary to establish the methylation imprint at the MEG8-DMR.
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Affiliation(s)
- Jasmin Beygo
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany
| | - Alma Küchler
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany
| | | | - Beate Albrecht
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany
| | - Jonas Eckle
- Sozialpädiatrisches Zentrum, St. Elisabeth-Stiftung, Ravensburg, Germany
| | | | - Alexandra Gellhaus
- Klinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum Essen, Essen, Germany
| | - Deniz Kanber
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany
| | - Ulrike Kordaß
- MVZ für Humangenetik und Molekularpathologie Rostock, Zweigstelle Greifswald, Greifswald, Germany
| | - Hermann-Josef Lüdecke
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany.,Institut für Humangenetik, Universitätsklinikum Düsseldorf, Düsseldorf, Germany
| | - Sabine Purmann
- Institut für Humangenetik, Universität zu Lübeck, Lübeck, Germany
| | - Eva Rossier
- Institut für Medizinische Genetik und angewandte Genomik, Universiät Tübingen, Tübingen, Germany.,Genetikum Stuttgart, Stuttgart, Germany
| | - Johannes van de Nes
- Institute of Neuropathology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany.,Institute of Pathology, University of Bochum, Bochum, Germany
| | | | | | - Dagmar Wieczorek
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany.,Institut für Humangenetik, Universitätsklinikum Düsseldorf, Düsseldorf, Germany
| | - Bernhard Horsthemke
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany
| | - Karin Buiting
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany
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203
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Kukushkina V, Modhukur V, Suhorutšenko M, Peters M, Mägi R, Rahmioglu N, Velthut-Meikas A, Altmäe S, Esteban FJ, Vilo J, Zondervan K, Salumets A, Laisk-Podar T. DNA methylation changes in endometrium and correlation with gene expression during the transition from pre-receptive to receptive phase. Sci Rep 2017. [PMID: 28634372 PMCID: PMC5478666 DOI: 10.1038/s41598-017-03682-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The inner uterine lining (endometrium) is a unique tissue going through remarkable changes each menstrual cycle. Endometrium has its characteristic DNA methylation profile, although not much is known about the endometrial methylome changes throughout the menstrual cycle. The impact of methylome changes on gene expression and thereby on the function of the tissue, including establishing receptivity to implanting embryo, is also unclear. Therefore, this study used genome-wide technologies to characterize the methylome and the correlation between DNA methylation and gene expression in endometrial biopsies collected from 17 healthy fertile-aged women from pre-receptive and receptive phase within one menstrual cycle. Our study showed that the overall methylome remains relatively stable during this stage of the menstrual cycle, with small-scale changes affecting 5% of the studied CpG sites (22,272 out of studied 437,022 CpGs, FDR < 0.05). Of differentially methylated CpG sites with the largest absolute changes in methylation level, approximately 30% correlated with gene expression measured by RNA sequencing, with negative correlations being more common in 5' UTR and positive correlations in the gene 'Body' region. According to our results, extracellular matrix organization and immune response are the pathways most affected by methylation changes during the transition from pre-receptive to receptive phase.
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Affiliation(s)
- Viktorija Kukushkina
- Competence Centre on Health Technologies, Tartu, Estonia.,Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.,Estonian Genome Center, University of Tartu, Tartu, Estonia
| | | | - Marina Suhorutšenko
- Competence Centre on Health Technologies, Tartu, Estonia.,Women's Clinic, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Maire Peters
- Competence Centre on Health Technologies, Tartu, Estonia.,Women's Clinic, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Nilufer Rahmioglu
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Signe Altmäe
- Competence Centre on Health Technologies, Tartu, Estonia.,Department of Women's and Children's Health, Division of Obstetrics and Gynecology, Karolinska Institutet, Stockholm, Sweden
| | | | - Jaak Vilo
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Krina Zondervan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.,Endometriosis CaRe Centre, Nuffield Department of Obstetrics & Gynaecology, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Andres Salumets
- Competence Centre on Health Technologies, Tartu, Estonia.,Women's Clinic, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.,Institute of Bio- and Translational Medicine, University of Tartu, Tartu, Estonia.,Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Triin Laisk-Podar
- Competence Centre on Health Technologies, Tartu, Estonia. .,Women's Clinic, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
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204
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Yu F, Shen H, Deng HW. Systemic analysis of osteoblast-specific DNA methylation marks reveals novel epigenetic basis of osteoblast differentiation. Bone Rep 2017; 6:109-119. [PMID: 28409176 PMCID: PMC5384298 DOI: 10.1016/j.bonr.2017.04.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 03/20/2017] [Accepted: 04/01/2017] [Indexed: 01/21/2023] Open
Abstract
DNA methylation is an important epigenetic modification that contributes to the lineage commitment and specific functions of different cell types. In this study, we compared ENCODE-generated genome-wide DNA methylation profiles of human osteoblast with 21 other types of human cells in order to identify osteoblast-specific methylation events. For most of the cell strains, data from two isogenic replicates were included, resulting in a total of 51 DNA methylation datasets. We identified 852 significant osteoblast-specific differentially methylated CpGs (DMCs) and 295 significant differentially methylated regions (DMRs). Significant DMCs/DMRs were not enriched in CpG islands (CGIs) and promoters, but more strongly enriched in CGI shores/shelves and in gene body and intergenic regions. The genes associated with significant DMRs were highly enriched in biological processes related to transcriptional regulation and critical for regulating bone metabolism and skeletal development under physiologic and pathologic conditions. By integrating the DMR data with the extensive gene expression and chromatin epigenomics data, we observed complex, context-dependent relationships between DNA methylation, chromatin states, and gene expression, suggesting diverse DNA methylation-mediated regulatory mechanisms. Our results also highlighted a number of novel osteoblast-relevant genes. For example, the integrated evidences from DMR analysis, histone modification and RNA-seq data strongly support that there is a novel isoform of neurexin-2 (NRXN2) gene specifically expressed in osteoblast. NRXN2 was known to function as a cell adhesion molecule in the vertebrate nervous system, but its functional role in bone is completely unknown and thus worth further investigation. In summary, we reported a comprehensive analysis of osteoblast-specific DNA methylation profiles and revealed novel insights into the epigenetic basis of osteoblast differentiation and activity.
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Affiliation(s)
- Fangtang Yu
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Hui Shen
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Hong-Wen Deng
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
- College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
- College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing 100044, China
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205
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Devall M, Smith RG, Jeffries A, Hannon E, Davies MN, Schalkwyk L, Mill J, Weedon M, Lunnon K. Regional differences in mitochondrial DNA methylation in human post-mortem brain tissue. Clin Epigenetics 2017; 9:47. [PMID: 28473874 PMCID: PMC5415779 DOI: 10.1186/s13148-017-0337-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2016] [Accepted: 03/30/2017] [Indexed: 12/22/2022] Open
Abstract
Background DNA methylation is an important epigenetic mechanism involved in gene regulation, with alterations in DNA methylation in the nuclear genome being linked to numerous complex diseases. Mitochondrial DNA methylation is a phenomenon that is receiving ever-increasing interest, particularly in diseases characterized by mitochondrial dysfunction; however, most studies have been limited to the investigation of specific target regions. Analyses spanning the entire mitochondrial genome have been limited, potentially due to the amount of input DNA required. Further, mitochondrial genetic studies have been previously confounded by nuclear-mitochondrial pseudogenes. Methylated DNA Immunoprecipitation Sequencing is a technique widely used to profile DNA methylation across the nuclear genome; however, reads mapped to mitochondrial DNA are often discarded. Here, we have developed an approach to control for nuclear-mitochondrial pseudogenes within Methylated DNA Immunoprecipitation Sequencing data. We highlight the utility of this approach in identifying differences in mitochondrial DNA methylation across regions of the human brain and pre-mortem blood. Results We were able to correlate mitochondrial DNA methylation patterns between the cortex, cerebellum and blood. We identified 74 nominally significant differentially methylated regions (p < 0.05) in the mitochondrial genome, between anatomically separate cortical regions and the cerebellum in matched samples (N = 3 matched donors). Further analysis identified eight significant differentially methylated regions between the total cortex and cerebellum after correcting for multiple testing. Using unsupervised hierarchical clustering analysis of the mitochondrial DNA methylome, we were able to identify tissue-specific patterns of mitochondrial DNA methylation between blood, cerebellum and cortex. Conclusions Our study represents a comprehensive analysis of the mitochondrial methylome using pre-existing Methylated DNA Immunoprecipitation Sequencing data to identify brain region-specific patterns of mitochondrial DNA methylation.
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Affiliation(s)
- Matthew Devall
- University of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK
| | - Rebecca G Smith
- University of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK
| | - Aaron Jeffries
- University of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.,Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Eilis Hannon
- University of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK
| | - Matthew N Davies
- Department of Twin Research & Genetic Epidemiology, King's College London, Lambeth Palace Road, London, UK
| | | | - Jonathan Mill
- University of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.,Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Michael Weedon
- University of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK
| | - Katie Lunnon
- University of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK
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206
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Moen GH, Sommer C, Prasad RB, Sletner L, Groop L, Qvigstad E, Birkeland KI. MECHANISMS IN ENDOCRINOLOGY: Epigenetic modifications and gestational diabetes: a systematic review of published literature. Eur J Endocrinol 2017; 176:R247-R267. [PMID: 28232369 DOI: 10.1530/eje-16-1017] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 02/16/2017] [Accepted: 02/22/2017] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To summarize the current knowledge on epigenetic alterations in mother and offspring subjected to gestational diabetes (GDM) and indicate future topics for research. DESIGN Systematic review. METHODS We performed extensive searches in PubMed, EMBASE and Google scholar, using a combination of the search terms: GDM, gestational diabetes, epigenetic(s), methylation, histone modification, histone methylation, histone acetylation, microRNA and miRNA. Studies that compared women diagnosed with GDM and healthy controls were included. Two authors independently scanned the abstracts, and all included papers were read by at least two authors. The searches were completed on October 31st, 2016. RESULTS We identified 236 articles, of which 43 were considered relevant for this systematic review. Studies published showed that epigenetic alterations could be found in both mothers with GDM and their offspring. However, differences in methodology, diagnostic criteria for GDM and populations studied, together with a limited number of published studies and small sample sizes, preclude clear conclusions about the role of epigenetic modifications in transmitting risk from GDM mothers to their offspring. CONCLUSION The current research literature suggests that GDM may have impact on epigenetic modifications in the mother and offspring. However, larger studies that include multiple cohorts of GDM patients and their offspring are needed.
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Affiliation(s)
- Gunn-Helen Moen
- Department of EndocrinologyMorbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of MedicineUniversity of Oslo, Institute of Clinical Medicine, Oslo, Norway
| | - Christine Sommer
- Department of EndocrinologyMorbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Rashmi B Prasad
- Department of Clinical SciencesDiabetes and Endocrinology CRC, Lund University Diabetes Centre, Malmö, Sweden
| | - Line Sletner
- Department of Pediatric and Adolescents MedicineAkershus University Hospital, Lørenskog, Norway
- MRC Lifecourse Epidemiology UnitUniversity of Southampton, Southampton General Hospital, Southampton, UK
| | - Leif Groop
- Department of Clinical SciencesDiabetes and Endocrinology CRC, Lund University Diabetes Centre, Malmö, Sweden
- Finnish Institute of Molecular Medicine (FIMM)Helsinki University, Helsinki, Finland
| | - Elisabeth Qvigstad
- Department of EndocrinologyMorbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Kåre I Birkeland
- Department of EndocrinologyMorbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of MedicineUniversity of Oslo, Institute of Clinical Medicine, Oslo, Norway
- Department of Transplantation MedicineOslo University Hospital, Oslo, Norway
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207
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Panagopoulou M, Lambropoulou M, Balgkouranidou I, Nena E, Karaglani M, Nicolaidou C, Asimaki A, Konstantinidis T, Constantinidis TC, Kolios G, Kakolyris S, Agorastos T, Chatzaki E. Gene promoter methylation and protein expression of BRMS1 in uterine cervix in relation to high-risk human papilloma virus infection and cancer. Tumour Biol 2017; 39:1010428317697557. [PMID: 28381193 DOI: 10.1177/1010428317697557] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Cervical cancer is strongly related to certain high-risk types of human papilloma virus infection. Breast cancer metastasis suppressor 1 (BRMS1) is a tumor suppressor gene, its expression being regulated by DNA promoter methylation in several types of cancers. This study aims to evaluate the methylation status of BRMS1 promoter in relation to high-risk types of human papilloma virus infection and the development of pre-cancerous lesions and describe the pattern of BRMS1 protein expression in normal, high-risk types of human papilloma virus-infected pre-cancerous and malignant cervical epithelium. We compared the methylation status of BRMS1 in cervical smears of 64 women with no infection by high-risk types of human papilloma virus to 70 women with proven high-risk types of human papilloma virus infection, using real-time methylation-specific polymerase chain reaction. The expression of BRMS1 protein was described by immunohistochemistry in biopsies from cervical cancer, pre-cancerous lesions, and normal cervices. Methylation of BRMS1 promoter was detected in 37.5% of women with no high-risk types of human papilloma virus infection and was less frequent in smears with high-risk types of human papilloma virus (11.4%) and in women with pathological histology (cervical intraepithelial neoplasia) (11.9%). Methylation was detected also in HeLa cervical cancer cells. Immunohistochemistry revealed nuclear BRMS1 protein staining in normal high-risk types of human papilloma virus-free cervix, in cervical intraepithelial neoplasias, and in malignant tissues, where staining was occasionally also cytoplasmic. In cancer, expression was stronger in the more differentiated cancer blasts. In conclusion, BRMS1 promoter methylation and aberrant protein expression seem to be related to high-risk types of human papilloma virus-induced carcinogenesis in uterine cervix and is worthy of further investigation.
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Affiliation(s)
- Maria Panagopoulou
- 1 Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Maria Lambropoulou
- 2 Laboratory of Histology-Embryology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Ioanna Balgkouranidou
- 1 Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.,3 Department of Oncology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Evangelia Nena
- 4 Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Makrina Karaglani
- 1 Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Christina Nicolaidou
- 2 Laboratory of Histology-Embryology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Anthi Asimaki
- 5 Fourth University Clinic of Obstetrics and Gynecology, Hippokrateion Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Theocharis Konstantinidis
- 4 Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Theodoros C Constantinidis
- 4 Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - George Kolios
- 1 Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Stylianos Kakolyris
- 3 Department of Oncology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Theodoros Agorastos
- 5 Fourth University Clinic of Obstetrics and Gynecology, Hippokrateion Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ekaterini Chatzaki
- 1 Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
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208
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Johnson ND, Wiener HW, Smith AK, Nishitani S, Absher DM, Arnett DK, Aslibekyan S, Conneely KN. Non-linear patterns in age-related DNA methylation may reflect CD4 + T cell differentiation. Epigenetics 2017; 12:492-503. [PMID: 28387568 DOI: 10.1080/15592294.2017.1314419] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
DNA methylation (DNAm) is an important epigenetic process involved in the regulation of gene expression. While many studies have identified thousands of loci associated with age, few have differentiated between linear and non-linear DNAm trends with age. Non-linear trends could indicate early- or late-life gene regulatory processes. Using data from the Illumina 450K array on 336 human peripheral blood samples, we identified 21 CpG sites that associated with age (P<1.03E-7) and exhibited changing rates of DNAm change with age (P<1.94E-6). For 2 of these CpG sites (cg07955995 and cg22285878), DNAm increased with age at an increasing rate, indicating that differential DNAm was greatest among elderly individuals. We observed significant replication for both CpG sites (P<5.0E-8) in a second set of peripheral blood samples. In 8 of 9 additional data sets comprising samples of monocytes, T cell subtypes, and brain tissue, we observed a pattern directionally consistent with DNAm increasing with age at an increasing rate, which was nominally significant in the 3 largest data sets (4.3E-15<P<0.039). cg07955995 and cg22285878 reside in the promoter region of KLF14, which encodes a protein involved in immune cell differentiation via the repression of FOXP3. These findings may suggest a possible role for cg07955995 and cg22285878 in immunosenescence.
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Affiliation(s)
| | - Howard W Wiener
- b Department of Epidemiology , University of Alabama at Birmingham , Birmingham , AL , USA
| | - Alicia K Smith
- c Department of Gynecology and Obstetrics , Emory University , Atlanta , GA , USA.,d Department of Psychiatry and Behavioral Sciences , Emory University , Atlanta , GA , USA
| | - Shota Nishitani
- c Department of Gynecology and Obstetrics , Emory University , Atlanta , GA , USA.,d Department of Psychiatry and Behavioral Sciences , Emory University , Atlanta , GA , USA
| | - Devin M Absher
- e HudsonAlpha Institute for Biotechnology , Huntsville , AL , USA
| | - Donna K Arnett
- f College of Public Health , University of Kentucky , Lexington , KY , USA
| | - Stella Aslibekyan
- b Department of Epidemiology , University of Alabama at Birmingham , Birmingham , AL , USA
| | - Karen N Conneely
- a Department of Human Genetics , Emory University , Atlanta , GA , USA
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209
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Breton CV, Marsit CJ, Faustman E, Nadeau K, Goodrich JM, Dolinoy DC, Herbstman J, Holland N, LaSalle JM, Schmidt R, Yousefi P, Perera F, Joubert BR, Wiemels J, Taylor M, Yang IV, Chen R, Hew KM, Freeland DMH, Miller R, Murphy SK. Small-Magnitude Effect Sizes in Epigenetic End Points are Important in Children's Environmental Health Studies: The Children's Environmental Health and Disease Prevention Research Center's Epigenetics Working Group. ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:511-526. [PMID: 28362264 PMCID: PMC5382002 DOI: 10.1289/ehp595] [Citation(s) in RCA: 196] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 08/24/2016] [Accepted: 09/27/2016] [Indexed: 05/15/2023]
Abstract
BACKGROUND Characterization of the epigenome is a primary interest for children's environmental health researchers studying the environmental influences on human populations, particularly those studying the role of pregnancy and early-life exposures on later-in-life health outcomes. OBJECTIVES Our objective was to consider the state of the science in environmental epigenetics research and to focus on DNA methylation and the collective observations of many studies being conducted within the Children's Environmental Health and Disease Prevention Research Centers, as they relate to the Developmental Origins of Health and Disease (DOHaD) hypothesis. METHODS We address the current laboratory and statistical tools available for epigenetic analyses, discuss methods for validation and interpretation of findings, particularly when magnitudes of effect are small, question the functional relevance of findings, and discuss the future for environmental epigenetics research. DISCUSSION A common finding in environmental epigenetic studies is the small-magnitude epigenetic effect sizes that result from such exposures. Although it is reasonable and necessary that we question the relevance of such small effects, we present examples in which small effects persist and have been replicated across populations and across time. We encourage a critical discourse on the interpretation of such small changes and further research on their functional relevance for children's health. CONCLUSION The dynamic nature of the epigenome will require an emphasis on future longitudinal studies in which the epigenome is profiled over time, over changing environmental exposures, and over generations to better understand the multiple ways in which the epigenome may respond to environmental stimuli.
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Affiliation(s)
| | | | | | - Kari Nadeau
- Stanford University, Palo Alto, California, USA
- University of California, Berkeley, Berkeley, California, USA
| | | | | | | | - Nina Holland
- University of California, Berkeley, Berkeley, California, USA
| | | | | | - Paul Yousefi
- University of California, Berkeley, Berkeley, California, USA
| | | | - Bonnie R. Joubert
- National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina
| | - Joseph Wiemels
- University of California at San Francisco, San Francisco, California, USA
| | | | - Ivana V. Yang
- University of Colorado, Denver, Colorado, USA
- National Jewish Health, Denver, Colorado, USA
| | - Rui Chen
- Stanford University, Palo Alto, California, USA
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Banlaki Z, Cimarelli G, Viranyi Z, Kubinyi E, Sasvari-Szekely M, Ronai Z. DNA methylation patterns of behavior-related gene promoter regions dissect the gray wolf from domestic dog breeds. Mol Genet Genomics 2017; 292:685-697. [DOI: 10.1007/s00438-017-1305-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 03/02/2017] [Indexed: 12/26/2022]
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211
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Inhibition of DNA Methylation in the COL1A2 Promoter by Anacardic Acid Prevents UV-Induced Decrease of Type I Procollagen Expression. J Invest Dermatol 2017; 137:1343-1352. [PMID: 28237615 DOI: 10.1016/j.jid.2017.02.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 01/13/2017] [Accepted: 02/01/2017] [Indexed: 12/22/2022]
Abstract
UV radiation decreases type I procollagen production mainly by inhibiting the transforming growth factor-β/Smad signaling pathway. Because further epigenetic regulatory mechanisms are unclear, we investigated the roles of DNA methylation and histone acetylation in UV-induced regulation of COL1A2 transcription in human dermal fibroblasts. Anacardic acid, a p300 histone acetyltransferase inhibitor, rescued the UV-induced decrease of type I procollagen expression in human dermal fibroblasts. Although UV irradiation induced global histone acetylation, it reduced the local recruitment of histone H3 acetylation as well as p300, and Smad2/3 to the p300 binding site (-1406/-1393), in the COL1A2 promoter as shown by chromatin immunoprecipitation. This effect was reversed by anacardic acid treatment. In contrast, pyrosequencing analysis showed that UV irradiation induced DNA methylation in the same region of the COL1A2 promoter, which was reversed by anacardic acid and a DNA methyltransferase inhibitor (5-AZA-2'-deoxycytidine). Inhibition of UV-induced DNA methylation led to an increase of UV-induced histone acetylation in the COL1A2 promoter and increased the recruitment of transcription factors, leading to up-regulation of type I collagen after UV irradiation. Collectively, our findings indicate that the epigenetic crosstalk between DNA methylation and histone acetylation plays a crucial role in COL1A2 transcription induced by UV irradiation.
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212
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DUSP1 promoter methylation in peripheral blood leukocyte is associated with triple-negative breast cancer risk. Sci Rep 2017; 7:43011. [PMID: 28220843 PMCID: PMC5318948 DOI: 10.1038/srep43011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 01/18/2017] [Indexed: 12/13/2022] Open
Abstract
DNA methylation is one of the most common epigenetic alterations, providing important information regarding cancer risk and prognosis. A case-control study (423 breast cancer cases, 509 controls) and a case-only study (326 cases) were conducted to evaluate the association of DUSP1 promoter methylation with breast cancer risk and clinicopathological characteristics. No significant association between DUSP1 methylation in peripheral blood leukocyte (PBL) DNA and breast cancer risk was observed. DUSP1 methylation was significantly associated with ER/PR-negative status; in particular, triple-negative breast cancer patients showed the highest frequency of DUSP1 methylation in both tumour DNA and PBL DNA. Soybean intake was significantly correlated with methylated DUSP1 only in ER-negative (OR 2.978; 95% CI 1.245-7.124) and PR negative (OR 2.735; 95% CI 1.315-5.692) patients. Irregular menstruation was significantly associated with methylated DUSP1 only in ER-positive (OR 3.564; 95% CI 1.691-7.511) and PR-positive (OR 3.902, 95% CI 1.656-9.194) patients. Thus, DUSP1 methylation is a cancer-associated hypermethylation event that is closely linked with triple-negative status. Further investigations are warranted to confirm the association of environmental factors, including fruit and soybean intake, irregular menstruation, and ER/PR status, with DUSP1 methylation in breast tumour DNA.
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The core regulatory network in human cells. Biochem Biophys Res Commun 2017; 484:348-353. [PMID: 28131826 DOI: 10.1016/j.bbrc.2017.01.122] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 01/23/2017] [Indexed: 01/08/2023]
Abstract
In order to discover the common characteristics of various cell types in the human body, many researches have been conducted to find the set of genes commonly expressed in various cell types and tissues. However, the functional characteristics of a cell is determined by the complex regulatory relationships among the genes rather than by expressed genes themselves. Therefore, it is more important to identify and analyze a core regulatory network where all regulatory relationship between genes are active across all cell types to uncover the common features of various cell types. Here, based on hundreds of tissue-specific gene regulatory networks constructed by recent genome-wide experimental data, we constructed the core regulatory network. Interestingly, we found that the core regulatory network is organized by simple cascade and has few complex regulations such as feedback or feed-forward loops. Moreover, we discovered that the regulatory links from genes in the core regulatory network to genes in the peripheral regulatory network are much more abundant than the reverse direction links. These results suggest that the core regulatory network locates at the top of regulatory network and plays a role as a 'hub' in terms of information flow, and the information that is common to all cells can be modified to achieve the tissue-specific characteristics through various types of feedback and feed-forward loops in the peripheral regulatory networks. We also found that the genes in the core regulatory network are evolutionary conserved, essential and non-disease, non-druggable genes compared to the peripheral genes. Overall, our study provides an insight into how all human cells share a common function and generate tissue-specific functional traits by transmitting and processing information through regulatory network.
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215
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The Combined Bisulfite Restriction Analysis (COBRA) Assay for the Analysis of Locus-Specific Changes in Methylation Patterns. Methods Mol Biol 2017; 1456:63-71. [PMID: 27770357 DOI: 10.1007/978-1-4899-7708-3_5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
DNA methylation is a heritable but reversible epigenetic mechanism of control over gene expression. The level of DNA methylation of specific genomic regions correlates with chromatin condensation, the level of gene expression, and in some cases genome stability and the frequency of homologous recombination. Here, we describe the combined bisulfite restriction analysis (COBRA) assay that allows analyzing the methylation status at a specific locus. The protocol consists of the following major steps: bisulfite conversion of non-methylated cytosines to uracils, the locus-specific PCR amplification of converted DNA, restriction digestion, the analysis of restriction patterns on the gel, and the quantification of these restriction patterns using ImageJ or a similar program.
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216
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Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism. Nat Commun 2016; 7:13666. [PMID: 27966532 PMCID: PMC5171841 DOI: 10.1038/ncomms13666] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 10/24/2016] [Indexed: 12/29/2022] Open
Abstract
Altered DNA methylation is common in cancer and often considered an early event in tumorigenesis. However, the sources of heterogeneity of DNA methylation among tumours remain poorly defined. Here we capitalize on the availability of multi-platform data on thousands of human tumours to build integrative models of DNA methylation. We quantify the contribution of clinical and molecular factors in explaining intertumoral variability in DNA methylation. We show that the levels of a set of metabolic genes involved in the methionine cycle is predictive of several features of DNA methylation in tumours, including the methylation of cancer genes. Finally, we demonstrate that patients whose DNA methylation can be predicted from the methionine cycle exhibited improved survival over cases where this regulation is disrupted. This study represents a comprehensive analysis of the determinants of methylation and demonstrates the surprisingly large interaction between metabolism and DNA methylation variation. Together, our results quantify links between tumour metabolism and epigenetics and outline clinical implications.
Altered DNA methylation is a feature of cancer and between-patient variability is prevalent. Here, the authors integrate data on thousands of human tumours, and find that expression levels of methionine metabolism genes are predictive of methylation features, and that the breakdown of this relationship is a negative prognostic marker.
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217
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Wu Y, Bu F, Yu H, Li W, Huang C, Meng X, Zhang L, Ma T, Li J. Methylation of Septin9 mediated by DNMT3a enhances hepatic stellate cells activation and liver fibrogenesis. Toxicol Appl Pharmacol 2016; 315:35-49. [PMID: 27939986 DOI: 10.1016/j.taap.2016.12.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 12/02/2016] [Accepted: 12/04/2016] [Indexed: 02/06/2023]
Abstract
Liver fibrosis, resulting from chronic and persistent injury to the liver, is a worldwide health problem. Advanced liver fibrosis results in cirrhosis, liver failure and even hepatocellular cancer (HCC), often eventually requiring liver transplantation, poses a huge health burden on the global community. However, the specific pathogenesis of liver fibrosis remains not fully understood. Numerous basic and clinical studies have provided evidence that epigenetic modifications, especially DNA methylation, might contribute to the activation of hepatic stellate cells (HSCs), the pivotal cell type responsible for the fibrous scar in liver. Here, reduced representation bisulfite sequencing (RRBS) and bisulfite pyrosequencing PCR (BSP) analysis identified hypermethylation status of Septin9 (Sept9) gene in liver fibrogenesis. Sept9 protein was dramatically decreased in livers of CCl4-treated mice and immortalized HSC-T6 cells exposed to TGF-β1. Nevertheless, the suppression of Sept9 could be blocked by DNMT3a-siRNA and DNA methyltransferase inhibitor, 5-aza-2'-deoxycytidine (5-azadC). Overexpressed Sept9 attenuated TGF-β1-induced expression of myofibroblast markers α-SMA and Col1a1, accompanied by up-regulation of cell apoptosis-related proteins. Conversely, RNAi-mediated silencing of Sept9 enhanced accumulation of extracellular matrix. These observations suggested that Sept9 contributed to alleviate liver fibrosis might partially through promoting activated HSCs apoptosis and this anti-fibrogenesis effect might be blocked by DNMT-3a mediated methylation of Sept9. Therefore, pharmacological agents that inhibit Sept9 methylation and increase its expression could be considered as valuable treatments for liver fibrosis.
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Affiliation(s)
- Yuting Wu
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China.
| | - Fangtian Bu
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China
| | - Haixia Yu
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China
| | - Wanxia Li
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China
| | - Cheng Huang
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China
| | - Xiaoming Meng
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China
| | - Lei Zhang
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China
| | - Taotao Ma
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China
| | - Jun Li
- School of Pharmacy, Anhui Key Laboratory of Bioactivity of Natural Products, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicine, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei 230032, China.
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218
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Milnik A, Vogler C, Demougin P, Egli T, Freytag V, Hartmann F, Heck A, Peter F, Spalek K, Stetak A, de Quervain DJF, Papassotiropoulos A, Vukojevic V. Common epigenetic variation in a European population of mentally healthy young adults. J Psychiatr Res 2016; 83:260-268. [PMID: 27710795 DOI: 10.1016/j.jpsychires.2016.08.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Revised: 08/03/2016] [Accepted: 08/18/2016] [Indexed: 12/25/2022]
Abstract
DNA methylation represents an important link between structural genetic variation and complex phenotypes. The study of genome-wide CpG methylation and its relation to traits relevant to psychiatry has become increasingly important. Here, we analyzed quality metrics of 394,043 CpG sites in two samples of 568 and 319 mentally healthy young adults. For 25% of all CpGs we observed medium to large common epigenetic variation. These CpGs were overrepresented in open sea and shore regions, as well as in intergenic regions. They also showed a strong enrichment of significant hits in association analyses. Furthermore, a significant proportion of common DNA methylation is at least partially genetically driven and thus may be observed similarly across tissues. These findings could be of particular relevance for studies of complex neuropsychiatric traits, which often rely on proxy tissues.
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Affiliation(s)
- Annette Milnik
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Psychiatric University Clinics, University of Basel, CH-4055, Basel, Switzerland.
| | - Christian Vogler
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Psychiatric University Clinics, University of Basel, CH-4055, Basel, Switzerland
| | - Philippe Demougin
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Department Biozentrum, Life Sciences Training Facility, University of Basel, CH-4056, Basel, Switzerland
| | - Tobias Egli
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland
| | - Virginie Freytag
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland
| | - Francina Hartmann
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland
| | - Angela Heck
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Psychiatric University Clinics, University of Basel, CH-4055, Basel, Switzerland
| | - Fabian Peter
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Department Biozentrum, Life Sciences Training Facility, University of Basel, CH-4056, Basel, Switzerland
| | - Klara Spalek
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Division of Cognitive Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland
| | - Attila Stetak
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Psychiatric University Clinics, University of Basel, CH-4055, Basel, Switzerland; Department Biozentrum, Life Sciences Training Facility, University of Basel, CH-4056, Basel, Switzerland
| | - Dominique J-F de Quervain
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Psychiatric University Clinics, University of Basel, CH-4055, Basel, Switzerland; Division of Cognitive Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland
| | - Andreas Papassotiropoulos
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Psychiatric University Clinics, University of Basel, CH-4055, Basel, Switzerland; Department Biozentrum, Life Sciences Training Facility, University of Basel, CH-4056, Basel, Switzerland
| | - Vanja Vukojevic
- Division of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland; Department Biozentrum, Life Sciences Training Facility, University of Basel, CH-4056, Basel, Switzerland
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Epigenetics in type 1 diabetes: TNFa gene promoter methylation status in Chilean patients with type 1 diabetes mellitus. Br J Nutr 2016; 116:1861-1868. [PMID: 27890035 DOI: 10.1017/s0007114516003846] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
TNF-α is a pro-inflammatory cytokine that is involved in type 1 diabetes (T1D) pathogenesis. The TNFa gene is subject of epigenetic regulation in which folate and homocysteine are important molecules because they participate in the methionine cycle where the most important methyl group donor (S-adenosylmethionine) is formed. We investigated whether TNFa gene promoter methylation status in T1D patients was related to blood folate, homocysteine and TNF-α in a transversal case-control study. We studied T1D patients (n 25, mean=13·7 years) and healthy control subjects (n 25, mean=31·1 years), without T1D and/or other autoimmune diseases or direct family history of these diseases. A blood sample was obtained for determination of serum folate, plasma homocysteine and TNF-α concentrations. Whole blood was used for the extraction of DNA to determine the percentage of methylation by real-time PCR and melting-curve analysis. Results are expressed as means and standard deviations for parametric variables and as median (interquartile range) for non-parametric variables. T1D patients showed a higher TNFa gene promoter methylation (39·2 (sd 19·5) %) when compared with control subjects (25·4 (sd 13·7) %) (P=0·008). TNFa gene promoter methylation was positively associated only with homocysteine levels in T1D patients (r 0·55, P=0·007), but not in control subjects (r -0·122, P=0·872). To our knowledge, this is the first work that reports the methylation status of the TNFa gene promoter and its relationship with homocysteine metabolism in Chilean T1D patients without disease complications.
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Grzybek M, Golonko A, Walczak M, Lisowski P. Epigenetics of cell fate reprogramming and its implications for neurological disorders modelling. Neurobiol Dis 2016; 99:84-120. [PMID: 27890672 DOI: 10.1016/j.nbd.2016.11.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 11/03/2016] [Accepted: 11/21/2016] [Indexed: 02/06/2023] Open
Abstract
The reprogramming of human induced pluripotent stem cells (hiPSCs) proceeds in a stepwise manner with reprogramming factors binding and epigenetic composition changes during transition to maintain the epigenetic landscape, important for pluripotency. There arises a question as to whether the aberrant epigenetic state after reprogramming leads to epigenetic defects in induced stem cells causing unpredictable long term effects in differentiated cells. In this review, we present a comprehensive view of epigenetic alterations accompanying reprogramming, cell maintenance and differentiation as factors that influence applications of hiPSCs in stem cell based technologies. We conclude that sample heterogeneity masks DNA methylation signatures in subpopulations of cells and thus believe that beside a genetic evaluation, extensive epigenomic screening should become a standard procedure to ensure hiPSCs state before they are used for genome editing and differentiation into neurons of interest. In particular, we suggest that exploitation of the single-cell composition of the epigenome will provide important insights into heterogeneity within hiPSCs subpopulations to fast forward development of reliable hiPSC-based analytical platforms in neurological disorders modelling and before completed hiPSC technology will be implemented in clinical approaches.
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Affiliation(s)
- Maciej Grzybek
- Faculty of Veterinary Medicine, University of Life Sciences in Lublin, Akademicka 12, 20-950 Lublin, Poland; Department of Molecular Biology, Institute of Genetics and Animal Breeding, Polish Academy of Sciences, Jastrzębiec, Postępu 36A, 05-552 Magdalenka, Poland.
| | - Aleksandra Golonko
- Department of Biotechnology, Faculty of Civil and Environmental Engineering, Bialystok University of Technology, Wiejska 45E, 15-351 Bialystok, Poland.
| | - Marta Walczak
- Department of Animal Behavior, Institute of Genetics and Animal Breeding, Polish Academy of Sciences, Jastrzębiec, Postępu 36A, 05-552 Magdalenka, Poland.
| | - Pawel Lisowski
- Department of Molecular Biology, Institute of Genetics and Animal Breeding, Polish Academy of Sciences, Jastrzębiec, Postępu 36A, 05-552 Magdalenka, Poland; iPS Cell-Based Disease Modelling Group, Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association, Robert-Rössle-Str. 10, 13092 Berlin, Germany.
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Tramacere A, Pievani T, Ferrari PF. Mirror neurons in the tree of life: mosaic evolution, plasticity and exaptation of sensorimotor matching responses. Biol Rev Camb Philos Soc 2016; 92:1819-1841. [PMID: 27862868 DOI: 10.1111/brv.12310] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 10/05/2016] [Accepted: 10/10/2016] [Indexed: 12/31/2022]
Abstract
Considering the properties of mirror neurons (MNs) in terms of development and phylogeny, we offer a novel, unifying, and testable account of their evolution according to the available data and try to unify apparently discordant research, including the plasticity of MNs during development, their adaptive value and their phylogenetic relationships and continuity. We hypothesize that the MN system reflects a set of interrelated traits, each with an independent natural history due to unique selective pressures, and propose that there are at least three evolutionarily significant trends that gave raise to three subtypes: hand visuomotor, mouth visuomotor, and audio-vocal. Specifically, we put forward a mosaic evolution hypothesis, which posits that different types of MNs may have evolved at different rates within and among species. This evolutionary hypothesis represents an alternative to both adaptationist and associative models. Finally, the review offers a strong heuristic potential in predicting the circumstances under which specific variations and properties of MNs are expected. Such predictive value is critical to test new hypotheses about MN activity and its plastic changes, depending on the species, the neuroanatomical substrates, and the ecological niche.
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Affiliation(s)
- Antonella Tramacere
- Department of Neuroscience, University of Parma, Parma, 43100, Italy.,Deutsche Primaten Zentrum - Lichtenberg-Kolleg, Institute for Advanced Study, 37083, Göttingen, Germany
| | - Telmo Pievani
- Department of Biology, University of Padua, Padua, 35131, Italy
| | - Pier F Ferrari
- Department of Neuroscience, University of Parma, Parma, 43100, Italy.,Institut des Sciences Cognitives 'Marc Jeannerod', CNRS/Université Claude Bernard Lyon, 69675, Bron Cedex, France
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Lin YC, Tsai LC, Lee JCI, Su CW, Tzen JTC, Linacre A, Hsieh HM. Novel identification of biofluids using a multiplex methylation sensitive restriction enzyme-PCR system. Forensic Sci Int Genet 2016; 25:157-165. [DOI: 10.1016/j.fsigen.2016.08.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 07/28/2016] [Accepted: 08/31/2016] [Indexed: 12/22/2022]
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Lokk K, Modhukur V, Rajashekar B, Märtens K, Mägi R, Kolde R, Koltšina M, Nilsson TK, Vilo J, Salumets A, Tönisson N. Erratum to: DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns. Genome Biol 2016; 17:224. [PMID: 27802833 PMCID: PMC5090885 DOI: 10.1186/s13059-016-1091-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 10/25/2016] [Indexed: 11/10/2022] Open
Affiliation(s)
- Kaie Lokk
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.,Department of Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia.,Estonian Biocentre, Tartu, Estonia
| | | | | | - Kaspar Märtens
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Raivo Kolde
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Marina Koltšina
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Torbjörn K Nilsson
- Department of Medical Biosciences, Clinical Chemistry, Umeå University, Umeå, Sweden
| | - Jaak Vilo
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Andres Salumets
- Competence Centre on Reproductive Medicine and Biology, Tartu, Estonia. .,Department of Obstetrics and Gynecology, University of Tartu, Tartu, Estonia. .,Institute of Bio- and Translational Medicine, University of Tartu, Tartu, Estonia.
| | - Neeme Tönisson
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia. .,Department of Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia. .,Estonian Genome Center, University of Tartu, Tartu, Estonia.
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224
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Yang C, Ye J, Li X, Gao X, Zhang K, Luo L, Ding J, Zhang Y, Li Y, Cao H, Ling Y, Zhang X, Liu Y, Fang F. DNA Methylation Patterns in the Hypothalamus of Female Pubertal Goats. PLoS One 2016; 11:e0165327. [PMID: 27788248 PMCID: PMC5082945 DOI: 10.1371/journal.pone.0165327] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 10/10/2016] [Indexed: 11/19/2022] Open
Abstract
Female pubertal development is tightly controlled by complex mechanisms, including neuroendocrine and epigenetic regulatory pathways. Specific gene expression patterns can be influenced by DNA methylation changes in the hypothalamus, which can in turn regulate timing of puberty onset. In order to understand the relationship between DNA methylation changes and gene expression patterns in the hypothalamus of pubertal goats, whole-genome bisulfite sequencing and RNA-sequencing analyses were carried out. There was a decline in DNA methylation levels in the hypothalamus during puberty and 268 differentially methylated regions (DMR) in the genome, with differential patterns in different gene regions. There were 1049 genes identified with distinct expression patterns. High levels of DNA methylation were detected in promoters, introns and 3′-untranslated regions (UTRs). Levels of methylation decreased gradually from promoters to 5′-UTRs and increased from 5′-UTRs to introns. Methylation density analysis demonstrated that methylation level variation was consistent with the density in the promoter, exon, intron, 5′-UTRs and 3′-UTRs. Analyses of CpG island (CGI) sites showed that the enriched gene contents were gene bodies, intergenic regions and introns, and these CGI sites were hypermethylated. Our study demonstrated that DNA methylation changes may influence gene expression profiles in the hypothalamus of goats during the onset of puberty, which may provide new insights into the mechanisms involved in pubertal onset.
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Affiliation(s)
- Chen Yang
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Jing Ye
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Xiumei Li
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Xiaoxiao Gao
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Kaifa Zhang
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Lei Luo
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Jianping Ding
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Yunhai Zhang
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Yunsheng Li
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Hongguo Cao
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Yinghui Ling
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Xiaorong Zhang
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Ya Liu
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
| | - Fugui Fang
- Anhui Provincial Laboratory of Animal Genetic Resources Protection and Breeding, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Anhui Provincial Laboratory for Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, 130 Changjiang West Road, Hefei, Anhui 230036, China
- Department of Animal Veterinary Science, College of Animal Science and Technology, Anhui Agricultural University, 130 Changjiang West Road, Hefei, Anhui 230036, China
- * E-mail:
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225
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Gu X, Boldrup L, Coates PJ, Fahraeus R, Nylander E, Loizou C, Olofsson K, Norberg-Spaak L, Gärskog O, Nylander K. Epigenetic regulation of OAS2 shows disease-specific DNA methylation profiles at individual CpG sites. Sci Rep 2016; 6:32579. [PMID: 27572959 PMCID: PMC5004144 DOI: 10.1038/srep32579] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Accepted: 08/10/2016] [Indexed: 12/27/2022] Open
Abstract
Epigenetic modifications are essential regulators of biological processes. Decreased DNA methylation of OAS2 (2′-5′-Oligoadenylate Synthetase 2), encoding an antiviral protein, has been seen in psoriasis. To provide further insight into the epigenetic regulation of OAS2, we performed pyrosequencing to detect OAS2 DNA methylation status at 11 promoter and first exon located CpG sites in psoriasis (n = 12) and two common subtypes of squamous cell carcinoma (SCC) of the head and neck: tongue (n = 12) and tonsillar (n = 11). Compared to corresponding controls, a general hypomethylation was seen in psoriasis. In tongue and tonsillar SCC, hypomethylation was found at only two CpG sites, the same two sites that were least demethylated in psoriasis. Despite differences in the specific residues targeted for methylation/demethylation, OAS2 expression was upregulated in all conditions and correlations between methylation and expression were seen in psoriasis and tongue SCC. Distinctive methylation status at four successively located CpG sites within a genomic area of 63 bp reveals a delicately integrated epigenetic program and indicates that detailed analysis of individual CpGs provides additional information into the mechanisms of epigenetic regulation in specific disease states. Methylation analyses as clinical biomarkers need to be tailored according to disease-specific sites.
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Affiliation(s)
- Xiaolian Gu
- Department of Medical Biosciences/Pathology, Umeå University, Umeå, Sweden
| | - Linda Boldrup
- Department of Medical Biosciences/Pathology, Umeå University, Umeå, Sweden
| | - Philip J Coates
- RECAMO, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Robin Fahraeus
- Department of Medical Biosciences/Pathology, Umeå University, Umeå, Sweden.,RECAMO, Masaryk Memorial Cancer Institute, Brno, Czech Republic.,Institut de Génétique Moléculaire, Université Paris 7, Hôpital St. Louis, Paris, France
| | - Elisabet Nylander
- Department of Public Health and Clinical Medicine/Dermatology and Venereology, Umeå University, Umeå, Sweden
| | - Christos Loizou
- Department of Clinical Sciences/ENT, Umeå University, Umeå, Sweden
| | | | | | - Ola Gärskog
- Department of Clinical Sciences/ENT, Umeå University, Umeå, Sweden
| | - Karin Nylander
- Department of Medical Biosciences/Pathology, Umeå University, Umeå, Sweden
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226
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Ali O, Cerjak D, Kent JW, James R, Blangero J, Carless MA, Zhang Y. Methylation of SOCS3 is inversely associated with metabolic syndrome in an epigenome-wide association study of obesity. Epigenetics 2016; 11:699-707. [PMID: 27564309 PMCID: PMC5048720 DOI: 10.1080/15592294.2016.1216284] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Epigenetic mechanisms, including DNA methylation, mediate the interaction between gene and environment and may play an important role in the obesity epidemic. We assessed the relationship between DNA methylation and obesity in peripheral blood mononuclear cells (PBMCs) at 485,000 CpG sites across the genome in family members (8-90 y of age) using a discovery cohort (192 individuals) and a validation cohort (1,052 individuals) of Northern European ancestry. After Bonferroni-correction (Pα=0.05 = 1.31 × 10−7) for genome-wide significance, we identified 3 loci, cg18181703 (SOCS3), cg04502490 (ZNF771), and cg02988947 (LIMD2), where methylation status was associated with body mass index percentile (BMI%), a clinical index for obesity in children, adolescents, and adults. These sites were also associated with multiple metabolic syndrome (MetS) traits, including central obesity, fat depots, insulin responsiveness, and plasma lipids. The SOCS3 methylation locus was also associated with the clinical definition of MetS. In the validation cohort, SOCS3 methylation status was found to be inversely associated with BMI% (P = 1.75 × 10−6), waist to height ratio (P = 4.18 × 10−7), triglycerides (P = 4.01 × 10−4), and MetS (P = 4.01 × 10−7), and positively correlated with HDL-c (P = 4.57 × 10−8). Functional analysis in a sub cohort (333 individuals) demonstrated SOCS3 methylation and gene expression in PBMCs were inversely correlated (P = 2.93 × 10−4) and expression of SOCS3 was positively correlated with status of MetS (P = 0.012). We conclude that epigenetic modulation of SOCS3, a gene involved in leptin and insulin signaling, may play an important role in obesity and MetS.
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Affiliation(s)
- Omar Ali
- a Department of Pediatrics , Medical College of Wisconsin , Milwaukee , WI , USA
| | - Diana Cerjak
- b TOPS Obesity and Metabolic Research Center, Department of Medicine, Medical College of Wisconsin , Milwaukee , WI , USA.,c Human and Molecular Genetics Center, Medical College of Wisconsin , Milwaukee , WI , USA
| | - Jack W Kent
- d Department of Genetics , Texas Biomedical Research Institute , San Antonio , TX , USA
| | - Roland James
- b TOPS Obesity and Metabolic Research Center, Department of Medicine, Medical College of Wisconsin , Milwaukee , WI , USA.,c Human and Molecular Genetics Center, Medical College of Wisconsin , Milwaukee , WI , USA
| | - John Blangero
- e South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley , Brownsville , TX , USA
| | - Melanie A Carless
- d Department of Genetics , Texas Biomedical Research Institute , San Antonio , TX , USA
| | - Yi Zhang
- b TOPS Obesity and Metabolic Research Center, Department of Medicine, Medical College of Wisconsin , Milwaukee , WI , USA.,c Human and Molecular Genetics Center, Medical College of Wisconsin , Milwaukee , WI , USA
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227
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Liu H, Li S, Wang X, Zhu J, Wei Y, Wang Y, Wen Y, Wang L, Huang Y, Zhang B, Shang S, Zhang Y. DNA methylation dynamics: identification and functional annotation. Brief Funct Genomics 2016; 15:470-484. [PMID: 27515490 DOI: 10.1093/bfgp/elw029] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
DNA methylation is an epigenetic modification of cytosines that undergoes dynamic changes in a temporal, spatial and cell-type-specific manner. Recent advances in technology have permitted the profiling of high-throughput methylomes in large numbers of biological samples. Various computational tools have been developed to identify and analyze DNA methylation dynamics in a variety of critical biological processes. As DNA methylation is becoming increasingly viewed as a dynamic process, the mechanisms governing DNA methylation dynamics and its roles in the transcriptional regulatory network are of great interest. It has been reported that DNA methylation dynamics plays essential roles in multiple biological processes, including development and cancer. As a functional event, the dynamics of DNA methylation have become increasingly relevant to many researchers. Here, we review state-of-the-art advances at three levels (genome-wide identification, regulatory mechanism investigation and the functional annotation) in the field of DNA methylation dynamics, as well as the future perspective of DNA methylation dynamics.
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228
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Methylation of the leukocyte glucocorticoid receptor gene promoter in adults: associations with early adversity and depressive, anxiety and substance-use disorders. Transl Psychiatry 2016; 6:e848. [PMID: 27378548 PMCID: PMC4969762 DOI: 10.1038/tp.2016.112] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2015] [Revised: 04/21/2016] [Accepted: 04/24/2016] [Indexed: 12/24/2022] Open
Abstract
Early adversity increases risk for developing psychopathology. Epigenetic modification of stress reactivity genes is a likely mechanism contributing to this risk. The glucocorticoid receptor (GR) gene is of particular interest because of the regulatory role of the GR in hypothalamic-pituitary-adrenal (HPA) axis function. Mounting evidence suggests that early adversity is associated with GR promoter methylation and gene expression. Few studies have examined links between GR promoter methylation and psychopathology, and findings to date have been mixed. Healthy adult participants (N=340) who were free of psychotropic medications reported on their childhood experiences of maltreatment and parental death and desertion. Lifetime depressive and anxiety disorders and past substance-use disorders were assessed using the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Methylation of exon 1F of the GR gene (NR3C1) was examined in leukocyte DNA via pyrosequencing. On a separate day, a subset of the participants (n=231) completed the dexamethasone/corticotropin-releasing hormone (Dex/CRH) test. Childhood adversity and a history of past substance-use disorder and current or past depressive or anxiety disorders were associated with lower levels of NR3C1 promoter methylation across the region as a whole and at individual CpG sites (P<0.05). The number of adversities was negatively associated with NR3C1 methylation in participants with no lifetime disorder (P=0.018), but not in those with a lifetime disorder. GR promoter methylation was linked to altered cortisol responses to the Dex/CRH test (P<0.05). This study presents evidence of reduced methylation of NR3C1 in association with childhood maltreatment and depressive, anxiety and substance-use disorders in adults. This finding stands in contrast to our prior work, but is consistent with emerging findings, suggesting complexity in the regulation of this gene.
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229
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Abstract
Adult diffuse gliomas account for the majority of primary malignant brain tumours, and are in most cases lethal. Current therapies are often only marginally effective, and improved options will almost certainly benefit from further insight into the various processes contributing to gliomagenesis and pathology. While molecular characterization of these tumours classifies them on the basis of genetic alterations and chromosomal abnormalities, DNA methylation patterns are increasingly understood to play a role in glioma pathogenesis. Indeed, a subset of gliomas associated with improved survival is characterized by the glioma CpG island methylator phenotype (G-CIMP), which can be induced by the expression of mutant isocitrate dehydrogenase (IDH1/2). Aberrant methylation of particular genes or regulatory elements, within the context of G-CIMP-positive and/or negative tumours, has also been shown to be associated with differential survival. In this review, we provide an overview of the current knowledge regarding the role of DNA methylation in adult diffuse gliomas. In particular, we discuss IDH mutations and G-CIMP, MGMT promoter methylation, DNA methylation-mediated microRNA regulation and aberrant methylation of specific genes or groups of genes.
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230
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Joint-specific DNA methylation and transcriptome signatures in rheumatoid arthritis identify distinct pathogenic processes. Nat Commun 2016; 7:11849. [PMID: 27282753 PMCID: PMC4906396 DOI: 10.1038/ncomms11849] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 05/05/2016] [Indexed: 01/03/2023] Open
Abstract
Stratifying patients on the basis of molecular signatures could facilitate development of therapeutics that target pathways specific to a particular disease or tissue location. Previous studies suggest that pathogenesis of rheumatoid arthritis (RA) is similar in all affected joints. Here we show that distinct DNA methylation and transcriptome signatures not only discriminate RA fibroblast-like synoviocytes (FLS) from osteoarthritis FLS, but also distinguish RA FLS isolated from knees and hips. Using genome-wide methods, we show differences between RA knee and hip FLS in the methylation of genes encoding biological pathways, such as IL-6 signalling via JAK-STAT pathway. Furthermore, differentially expressed genes are identified between knee and hip FLS using RNA-sequencing. Double-evidenced genes that are both differentially methylated and expressed include multiple HOX genes. Joint-specific DNA signatures suggest that RA disease mechanisms might vary from joint to joint, thus potentially explaining some of the diversity of drug responses in RA patients. Rheumatoid arthritis is an inflammatory disease that selectively affects different joints. Here the authors show that gene expression and DNA methylation patterns of fibroblast-like synoviocytes differ between hip and knee joints in patients with RA, thus providing epigenetic and transcriptomic evidence for this anatomic selectivity of inflammation.
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231
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Klinkebiel D, Zhang W, Akers SN, Odunsi K, Karpf AR. DNA Methylome Analyses Implicate Fallopian Tube Epithelia as the Origin for High-Grade Serous Ovarian Cancer. Mol Cancer Res 2016; 14:787-94. [PMID: 27259716 DOI: 10.1158/1541-7786.mcr-16-0097] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 05/16/2016] [Indexed: 12/29/2022]
Abstract
UNLABELLED High-grade serous ovarian cancer (HGSC) is the most common and lethal form of epithelial ovarian cancer (EOC). Two distinct tissues have been suggested as the tissue of origin: ovarian surface epithelia (OSE) and fallopian tube epithelia (FTE). We hypothesized that the DNA methylome of HGSC should more closely resemble the methylome of its tissue of origin. To this end, we profiled HGSC (n = 10), and patient-matched OSE and FTE (n = 5) primary fresh-frozen tissues, and analyzed the DNA methylome using Illumina 450K arrays (n = 20) and Agilent Sure Select methyl-seq (n = 7). Methylomes were compared using statistical analyses of differentially methylated CpG sites (DMC) and differentially methylated regions (DMR). In addition, methylation was evaluated within a variety of different genomic contexts, including CpG island shores and Homeobox (HOX) genes, due to their roles in tissue specification. Publicly available HGSC methylome data (n = 628) were interrogated to provide additional comparisons with FTE and OSE for validation. These analyses revealed that HGSC and FTE methylomes are significantly and consistently more highly conserved than are HGSC and OSE. Pearson correlations and hierarchal clustering of genes, promoters, CpG islands, CpG island shores, and HOX genes all revealed increased relatedness of HGSC and FTE methylomes. Thus, these findings reveal that the landscape of FTE more closely resembles HGSC, the most common and deadly EOC subtype. IMPLICATIONS DNA methylome analyses support the hypothesis that HGSC arise from the fallopian tube and that due to its tissue-specificity and biochemical stability, interrogation of the methylome may be a valuable approach to examine cell/tissue lineage in cancer. Mol Cancer Res; 14(9); 787-94. ©2016 AACR.
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Affiliation(s)
- David Klinkebiel
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska
| | - Wa Zhang
- Eppley Institute for Research in Cancer, University of Nebraska Medical Center, Omaha, Nebraska
| | - Stacey N Akers
- Department of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, New York
| | - Kunle Odunsi
- Department of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, New York. Department of Immunology, Roswell Park Cancer Institute, Buffalo, New York. Center for Immunotherapy, Roswell Park Cancer Institute, Buffalo, New York
| | - Adam R Karpf
- Eppley Institute for Research in Cancer, University of Nebraska Medical Center, Omaha, Nebraska. The Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska.
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232
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Pervjakova N, Kasela S, Morris AP, Kals M, Metspalu A, Lindgren CM, Salumets A, Mägi R. Imprinted genes and imprinting control regions show predominant intermediate methylation in adult somatic tissues. Epigenomics 2016; 8:789-99. [PMID: 27004446 PMCID: PMC5066126 DOI: 10.2217/epi.16.8] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Accepted: 03/03/2016] [Indexed: 12/19/2022] Open
Abstract
Genomic imprinting is an epigenetic feature characterized by parent-specific monoallelic gene expression. The aim of this study was to compare the DNA methylation status of imprinted genes and imprinting control regions (ICRs), harboring differentially methylated regions (DMRs) in a comprehensive panel of 18 somatic tissues. The germline DMRs analyzed were divided into ubiquitously imprinted and placenta-specific DMRs, which show identical and different methylation imprints in adult somatic and placental tissues, respectively. We showed that imprinted genes and ICR DMRs maintain methylation patterns characterized by intermediate methylation levels in somatic tissues, which are pronounced in a specific region of the promoter area, located 200-1500 bp from the transcription start site. This intermediate methylation is concordant with gene expression from a single unmethylated allele and silencing of a reciprocal parental allele through DNA methylation. The only exceptions were seen for ICR DMRs of placenta-specific imprinted genes, which showed low levels of methylation, suggesting that these genes escape parent-specific epigenetic regulation in somatic tissues.
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Affiliation(s)
- Natalia Pervjakova
- Department of Biotechnology, Institute of Molecular & Cell Biology, University of Tartu, Tartu 51010, Estonia
- National Institute for Health & Welfare, University of Helsinki, Helsinki FI-00271, Finland
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Silva Kasela
- Department of Biotechnology, Institute of Molecular & Cell Biology, University of Tartu, Tartu 51010, Estonia
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Andrew P Morris
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Department of Biostatistics, University of Liverpool, Liverpool, L69 3GA, UK
| | - Mart Kals
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Institute of Mathematical Statistics, University of Tartu, Tartu 50409, Estonia
| | - Andres Metspalu
- Department of Biotechnology, Institute of Molecular & Cell Biology, University of Tartu, Tartu 51010, Estonia
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- The Big Data Institute, University of Oxford, Oxford, OX3 7BN, UK
- Broad Institute of the Massachusetts Institute of Technology & Harvard University, Cambridge, MA 02142, USA
| | - Andres Salumets
- Competence Centre on Health Technologies, Tartu 50410, Estonia
- Department of Obstetrics & Gynecology, University of Tartu, Tartu 51014, Estonia
- Institute of Bio- & Translational Medicine, University of Tartu, Tartu 50411, Estonia
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
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Knothe C, Shiratori H, Resch E, Ultsch A, Geisslinger G, Doehring A, Lötsch J. Disagreement between two common biomarkers of global DNA methylation. Clin Epigenetics 2016; 8:60. [PMID: 27222668 PMCID: PMC4877994 DOI: 10.1186/s13148-016-0227-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Accepted: 05/10/2016] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The quantification of global DNA methylation has been established in epigenetic screening. As more practicable alternatives to the HPLC-based gold standard, the methylation analysis of CpG islands in repeatable elements (LINE-1) and the luminometric methylation assay (LUMA) of overall 5-methylcytosine content in "CCGG" recognition sites are most widely used. Both methods are applied as virtually equivalent, despite the hints that their results only partly agree. This triggered the present agreement assessments. RESULTS Three different human cell types (cultured MCF7 and SHSY5Y cell lines treated with different chemical modulators of DNA methylation and whole blood drawn from pain patients and healthy volunteers) were submitted to the global DNA methylation assays employing LINE-1 or LUMA-based pyrosequencing measurements. The agreement between the two bioassays was assessed using generally accepted approaches to the statistics for laboratory method comparison studies. Although global DNA methylation levels measured by the two methods correlated, five different lines of statistical evidence consistently rejected the assumption of complete agreement. Specifically, a bias was observed between the two methods. In addition, both the magnitude and direction of bias were tissue-dependent. Interassay differences could be grouped based on Bayesian statistics, and these groups allowed in turn to re-identify the originating tissue. CONCLUSIONS Although providing partly correlated measurements of DNA methylation, interchangeability of the quantitative results obtained with LINE-1 and LUMA was jeopardized by a consistent bias between the results. Moreover, the present analyses strongly indicate a tissue specificity of the differences between the two methods.
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Affiliation(s)
- Claudia Knothe
- />Institute of Clinical Pharmacology, Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Hiromi Shiratori
- />Project Group Translational Medicine and Pharmacology TMP, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Eduard Resch
- />Project Group Translational Medicine and Pharmacology TMP, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Alfred Ultsch
- />DataBionics Research Group, University of Marburg, Hans-Meerwein-Straße, 35032 Marburg, Germany
| | - Gerd Geisslinger
- />Institute of Clinical Pharmacology, Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
- />Project Group Translational Medicine and Pharmacology TMP, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Alexandra Doehring
- />Institute of Clinical Pharmacology, Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Jörn Lötsch
- />Institute of Clinical Pharmacology, Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
- />Project Group Translational Medicine and Pharmacology TMP, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
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234
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Kolde R, Märtens K, Lokk K, Laur S, Vilo J. seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data. Bioinformatics 2016; 32:2604-10. [PMID: 27187204 PMCID: PMC5013909 DOI: 10.1093/bioinformatics/btw304] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Accepted: 05/06/2016] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION One of the main goals of large scale methylation studies is to detect differentially methylated loci. One way is to approach this problem sitewise, i.e. to find differentially methylated positions (DMPs). However, it has been shown that methylation is regulated in longer genomic regions. So it is more desirable to identify differentially methylated regions (DMRs) instead of DMPs. The new high coverage arrays, like Illuminas 450k platform, make it possible at a reasonable cost. Few tools exist for DMR identification from this type of data, but there is no standard approach. RESULTS We propose a novel method for DMR identification that detects the region boundaries according to the minimum description length (MDL) principle, essentially solving the problem of model selection. The significance of the regions is established using linear mixed models. Using both simulated and large publicly available methylation datasets, we compare seqlm performance to alternative approaches. We demonstrate that it is both more sensitive and specific than competing methods. This is achieved with minimal parameter tuning and, surprisingly, quickest running time of all the tried methods. Finally, we show that the regional differential methylation patterns identified on sparse array data are confirmed by higher resolution sequencing approaches. AVAILABILITY AND IMPLEMENTATION The methods have been implemented in R package seqlm that is available through Github: https://github.com/raivokolde/seqlm CONTACT rkolde@gmail.com SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Raivo Kolde
- Institute of Computer Science, University of Tartu, 50409 Tartu, Estonia Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Kaspar Märtens
- Institute of Computer Science, University of Tartu, 50409 Tartu, Estonia
| | - Kaie Lokk
- Institute of Molecular and Cell Biology, University of Tartu, 51010 Tartu, Estonia
| | - Sven Laur
- Institute of Computer Science, University of Tartu, 50409 Tartu, Estonia
| | - Jaak Vilo
- Institute of Computer Science, University of Tartu, 50409 Tartu, Estonia
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235
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Cariaga-Martinez A, Saiz-Ruiz J, Alelú-Paz R. From Linkage Studies to Epigenetics: What We Know and What We Need to Know in the Neurobiology of Schizophrenia. Front Neurosci 2016; 10:202. [PMID: 27242407 PMCID: PMC4862989 DOI: 10.3389/fnins.2016.00202] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 04/25/2016] [Indexed: 01/15/2023] Open
Abstract
Schizophrenia is a complex psychiatric disorder characterized by the presence of positive, negative, and cognitive symptoms that lacks a unifying neuropathology. In the present paper, we will review the current understanding of molecular dysregulation in schizophrenia, including genetic and epigenetic studies. In relation to the latter, basic research suggests that normal cognition is regulated by epigenetic mechanisms and its dysfunction occurs upon epigenetic misregulation, providing new insights into missing heritability of complex psychiatric diseases, referring to the discrepancy between epidemiological heritability and the proportion of phenotypic variation explained by DNA sequence difference. In schizophrenia the absence of consistently replicated genetic effects together with evidence for lasting changes in gene expression after environmental exposures suggest a role of epigenetic mechanisms. In this review we will focus on epigenetic modifications as a key mechanism through which environmental factors interact with individual's genetic constitution to affect risk of psychotic conditions throughout life.
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Affiliation(s)
- Ariel Cariaga-Martinez
- Laboratory for Neuroscience of Mental Disorders Elena Pessino, Department of Medicine and Medical Specialties, School of Medicine, Alcalá University Madrid, Spain
| | - Jerónimo Saiz-Ruiz
- Department of Psychiatry, Ramón y Cajal Hospital, IRYCISMadrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)Madrid, Spain
| | - Raúl Alelú-Paz
- Laboratory for Neuroscience of Mental Disorders Elena Pessino, Department of Medicine and Medical Specialties, School of Medicine, Alcalá UniversityMadrid, Spain; Department of Psychiatry, Ramón y Cajal Hospital, IRYCISMadrid, Spain
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236
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Yang X, Shao X, Gao L, Zhang S. Comparative DNA methylation analysis to decipher common and cell type-specific patterns among multiple cell types. Brief Funct Genomics 2016; 15:399-407. [DOI: 10.1093/bfgp/elw013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
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237
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Dere E, Huse S, Hwang K, Sigman M, Boekelheide K. Intra- and inter-individual differences in human sperm DNA methylation. Andrology 2016; 4:832-42. [PMID: 27089098 DOI: 10.1111/andr.12170] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Revised: 01/06/2016] [Accepted: 01/13/2016] [Indexed: 12/20/2022]
Abstract
There is growing evidence that sperm DNA methylation is important in maintaining proper sperm health and function. Previous studies have associated sperm DNA methylation levels with sperm quality and function, however, little is known regarding the intra- and inter-individual variability in sperm methylation levels. This study characterizes this variation. Sperm epigenetic differences between successive semen samples from 12 patients were examined to identify the intra- and inter-individual differences globally across the genome, and in specifically defined genomic regions using the Illumina Infinium HumanMethylation450 BeadChips. Methylation analysis identified a bimodal distribution in the methylation levels that were non-uniformly distributed across the different genomic regions. The methylation levels were highly correlated in both the intra- and inter-individual comparisons. The intra-individual methylation levels were more highly correlated than the inter-individual comparison both globally and across the defined genomic regions, demonstrating that sperm DNA methylation levels are relatively stable between semen sample collections.
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Affiliation(s)
- E Dere
- Division of Urology, Rhode Island Hospital, Providence, RI, USA.,Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - S Huse
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - K Hwang
- Division of Urology, Rhode Island Hospital, Providence, RI, USA.,The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - M Sigman
- Division of Urology, Rhode Island Hospital, Providence, RI, USA.,The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - K Boekelheide
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
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238
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Kim M, Kim JH, Baek SJ, Kim SY, Kim YS. Specific expression and methylation of SLIT1, SLIT2, SLIT3, and miR-218 in gastric cancer subtypes. Int J Oncol 2016; 48:2497-507. [PMID: 27082735 DOI: 10.3892/ijo.2016.3473] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2015] [Accepted: 01/27/2016] [Indexed: 11/05/2022] Open
Abstract
SLIT has been suggested as a key regulator of cancer development and a promising therapeutic target for cancer treatment. Herein, we analyzed expression and methylation of SLIT1/SLIT2/SLIT3 in 11 gastric cancer cell lines, 96 paired gastric tumors and adjacent normal gastric tissues, and 250 gastric cancers provided by The Cancer Genome Atlas. Methylation of SLIT1/SLIT2/SLIT3 was found both in early gastric cancers, and in advanced gastric cancers. Even normal gastric tissue showed increased methylation of SLIT1 and SLIT3 that correlated with patient age. Furthermore, epigenetic inactivation of SLIT occurred in a gastric cancer subtype-dependent manner. SLIT2 and SLIT3 expression was reduced in Epstein-Barr virus-positive and microsatellite instability subtypes, but increased in the genomically stable subtype. Expression of miR‑218 correlated negatively with methylation of SLIT2 or SLIT3. These findings suggest that a molecular subtype-specific therapeutic strategy is needed for targeting SLITs and miR-218 in treatment of gastric cancer.
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Affiliation(s)
- Mirang Kim
- Genome Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Jong-Hwan Kim
- Genome Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Su-Jin Baek
- Genome Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Seon-Young Kim
- Genome Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Yong Sung Kim
- Genome Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
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239
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Yu L, Chibnik LB, Yang J, McCabe C, Xu J, Schneider JA, De Jager PL, Bennett DA. Methylation profiles in peripheral blood CD4+ lymphocytes versus brain: The relation to Alzheimer's disease pathology. Alzheimers Dement 2016; 12:942-951. [PMID: 27016692 DOI: 10.1016/j.jalz.2016.02.009] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2015] [Revised: 01/12/2016] [Accepted: 02/16/2016] [Indexed: 12/13/2022]
Abstract
INTRODUCTION We investigated the change in DNA methylation in peripheral blood CD4+ lymphocytes over time, examined the relation between CD4+ lymphocytes and brain methylation, and compared their associations with AD pathology. METHODS Genome-wide methylation was measured three times in 41 older persons using Illumina Infinium HumanMethylation450 array. The two CD4+ lymphocytes measures were at study baseline and proximate to death. Brain tissue came from frozen dorsolateral prefrontal cortex. RESULTS Global methylation features were conserved across tissue. At individual CpG sites, methylation level was concordant between the two CD4+ lymphocytes but more diffuse between CD4+ lymphocytes and brain. Previous associations of brain methylation with neuritic plaques at target methylation sites were not replicated in CD4+ lymphocytes. DISCUSSION There is no strong evidence of change in CD4+ lymphocytes methylation among older persons over an average of 7.5 years. Methylation associations with AD pathology found in neocortex are not directly reflected in CD4+ lymphocytes.
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Affiliation(s)
- Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.
| | - Lori B Chibnik
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Cristin McCabe
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Jishu Xu
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Philip L De Jager
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
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240
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Lin YC, Tsai LC, Lee JCI, Liu KL, Tzen JTC, Linacre A, Hsieh HM. Novel identification of biofluids using a multiplex methylation-specific PCR combined with single-base extension system. Forensic Sci Med Pathol 2016; 12:128-38. [DOI: 10.1007/s12024-016-9763-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/02/2016] [Indexed: 12/13/2022]
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241
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Rowlatt A, Hernández-Suárez G, Sanabria-Salas MC, Serrano-López M, Rawlik K, Hernandez-Illan E, Alenda C, Castillejo A, Soto JL, Haley CS, Tenesa A. The heritability and patterns of DNA methylation in normal human colorectum. Hum Mol Genet 2016; 25:2600-2611. [PMID: 26936820 PMCID: PMC5181623 DOI: 10.1093/hmg/ddw072] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Revised: 01/15/2016] [Accepted: 02/26/2016] [Indexed: 12/30/2022] Open
Abstract
DNA methylation (DNAm) has been linked to changes in chromatin structure, gene expression and disease. The DNAm level can be affected by genetic variation; although, how this differs by CpG dinucleotide density and genic location of the DNAm site is not well understood. Moreover, the effect of disease causing variants on the DNAm level in a tissue relevant to disease has yet to be fully elucidated. To this end, we investigated the phenotypic profiles, genetic effects and regional genomic heritability for 196080 DNAm sites in healthy colorectum tissue from 132 unrelated Colombian individuals. DNAm sites in regions of low-CpG density were more variable, on average more methylated and were more likely to be significantly heritable when compared with DNAm sites in regions of high-CpG density. DNAm sites located in intergenic regions had a higher mean DNAm level and were more likely to be heritable when compared with DNAm sites in the transcription start site (TSS) of a gene expressed in colon tissue. Within CpG-dense regions, the propensity of the DNAm level to be heritable was lower in the TSS of genes expressed in colon tissue than in the TSS of genes not expressed in colon tissue. In addition, regional genetic variation was associated with variation in local DNAm level no more frequently for DNAm sites within colorectal cancer risk regions than it was for DNAm sites outside such regions. Overall, DNAm sites located in different genomic contexts exhibited distinguishable profiles and may have a different biological function.
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Affiliation(s)
- Amy Rowlatt
- The Roslin Institute, The University of Edinburgh, Edinburgh, EH25 9RG, UK
| | | | - María Carolina Sanabria-Salas
- Grupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá, Colombia.,Departamento de Química, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Martha Serrano-López
- Grupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá, Colombia.,Departamento de Química, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Konrad Rawlik
- The Roslin Institute, The University of Edinburgh, Edinburgh, EH25 9RG, UK
| | - Eva Hernandez-Illan
- Laboratorio Genética Molecular, Hospital General Universitario de Elche, 03203 Elche, Alicante, Spain
| | - Cristina Alenda
- Pathology, Alicante University Hospital, Alicante, Spain and
| | - Adela Castillejo
- Laboratorio Genética Molecular, Hospital General Universitario de Elche, 03203 Elche, Alicante, Spain
| | - Jose Luis Soto
- Laboratorio Genética Molecular, Hospital General Universitario de Elche, 03203 Elche, Alicante, Spain
| | - Chris S Haley
- The Roslin Institute, The University of Edinburgh, Edinburgh, EH25 9RG, UK.,MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Albert Tenesa
- The Roslin Institute, The University of Edinburgh, Edinburgh, EH25 9RG, UK, .,MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, EH4 2XU, UK
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242
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Walton E, Hass J, Liu J, Roffman JL, Bernardoni F, Roessner V, Kirsch M, Schackert G, Calhoun V, Ehrlich S. Correspondence of DNA Methylation Between Blood and Brain Tissue and Its Application to Schizophrenia Research. Schizophr Bull 2016; 42:406-14. [PMID: 26056378 PMCID: PMC4753587 DOI: 10.1093/schbul/sbv074] [Citation(s) in RCA: 187] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Given the difficulty of procuring human brain tissue, a key question in molecular psychiatry concerns the extent to which epigenetic signatures measured in more accessible tissues such as blood can serve as a surrogate marker for the brain. Here, we aimed (1) to investigate the blood-brain correspondence of DNA methylation using a within-subject design and (2) to identify changes in DNA methylation of brain-related biological pathways in schizophrenia.We obtained paired blood and temporal lobe biopsy samples simultaneously from 12 epilepsy patients during neurosurgical treatment. Using the Infinium 450K methylation array we calculated similarity of blood and brain DNA methylation for each individual separately. We applied our findings by performing gene set enrichment analyses (GSEA) of peripheral blood DNA methylation data (Infinium 27K) of 111 schizophrenia patients and 122 healthy controls and included only Cytosine-phosphate-Guanine (CpG) sites that were significantly correlated across tissues.Only 7.9% of CpG sites showed a statistically significant, large correlation between blood and brain tissue, a proportion that although small was significantly greater than predicted by chance. GSEA analysis of schizophrenia data revealed altered methylation profiles in pathways related to precursor metabolites and signaling peptides.Our findings indicate that most DNA methylation markers in peripheral blood do not reliably predict brain DNA methylation status. However, a subset of peripheral data may proxy methylation status of brain tissue. Restricting the analysis to these markers can identify meaningful epigenetic differences in schizophrenia and potentially other brain disorders.
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Affiliation(s)
- Esther Walton
- Department of Child and Adolescent Psychiatry, Translational Developmental Neuroscience Section, Faculty of Medicine of the TU Dresden, Dresden, Germany;,Department of Psychology, Institute of Psychology, Psychiatry and Neuroscience, King’s College London, London, UK
| | - Johanna Hass
- Department of Child and Adolescent Psychiatry, Translational Developmental Neuroscience Section, Faculty of Medicine of the TU Dresden, Dresden, Germany;,Institute of Tropical Medicine, Eberhard Karls University, Tübingen, Germany
| | - Jingyu Liu
- The Mind Research Network, Albuquerque, NM
| | - Joshua L. Roffman
- MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA;,Department of Psychiatry, Massachusetts General Hospital, Boston, MA
| | - Fabio Bernardoni
- Department of Child and Adolescent Psychiatry, Translational Developmental Neuroscience Section, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Translational Developmental Neuroscience Section, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Matthias Kirsch
- Department of Neurosurgery, Faculty of Medicine of the TU Dresden, Dresden, Germany;,Center for Regenerative Therapies Dresden (CRTD), DFG Research Center and Cluster of Excellence at the TU Dresden, Dresden, Germany
| | - Gabriele Schackert
- Department of Neurosurgery, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Vince Calhoun
- The Mind Research Network, Albuquerque, NM;,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM
| | - Stefan Ehrlich
- Department of Child and Adolescent Psychiatry, Translational Developmental Neuroscience Section, Faculty of Medicine of the TU Dresden, Dresden, Germany; MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA;
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243
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Overlapping signatures of chronic pain in the DNA methylation landscape of prefrontal cortex and peripheral T cells. Sci Rep 2016; 6:19615. [PMID: 26817950 PMCID: PMC4730199 DOI: 10.1038/srep19615] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 10/16/2015] [Indexed: 12/29/2022] Open
Abstract
We tested the hypothesis that epigenetic mechanisms in the brain and the immune system are associated with chronic pain. Genome-wide DNA methylation assessed in 9 months post nerve-injury (SNI) and Sham rats, in the prefrontal cortex (PFC) as well as in T cells revealed a vast difference in the DNA methylation landscape in the brain between the groups and a remarkable overlap (72%) between differentially methylated probes in T cells and prefrontal cortex. DNA methylation states in the PFC showed robust correlation with pain score of animals in several genes involved in pain. Finally, only 11 differentially methylated probes in T cells were sufficient to distinguish SNI or Sham individual rats. This study supports the plausibility of DNA methylation involvement in chronic pain and demonstrates the potential feasibility of DNA methylation markers in T cells as noninvasive biomarkers of chronic pain susceptibility.
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244
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Walker RM, Christoforou AN, McCartney DL, Morris SW, Kennedy NA, Morten P, Anderson SM, Torrance HS, Macdonald A, Sussmann JE, Whalley HC, Blackwood DHR, McIntosh AM, Porteous DJ, Evans KL. DNA methylation in a Scottish family multiply affected by bipolar disorder and major depressive disorder. Clin Epigenetics 2016; 8:5. [PMID: 26798408 PMCID: PMC4721115 DOI: 10.1186/s13148-016-0171-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Accepted: 01/11/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a severe, familial psychiatric condition. Progress in understanding the aetiology of BD has been hampered by substantial phenotypic and genetic heterogeneity. We sought to mitigate these confounders by studying a multi-generational family multiply affected by BD and major depressive disorder (MDD), who carry an illness-linked haplotype on chromosome 4p. Within a family, aetiological heterogeneity is likely to be reduced, thus conferring greater power to detect illness-related changes. As accumulating evidence suggests that altered DNA methylation confers risk for BD and MDD, we compared genome-wide methylation between (i) affected carriers of the linked haplotype (ALH) and married-in controls (MIs), (ii) well unaffected haplotype carriers (ULH) and MI, (iii) ALH and ULH and (iv) all haplotype carriers (LH) and MI. RESULTS Nominally significant differences in DNA methylation were observed in all comparisons, with differences withstanding correction for multiple testing when the ALH or LH group was compared to the MIs. In both comparisons, we observed increased methylation at a locus in FANCI, which was accompanied by increased FANCI expression in the ALH group. FANCI is part of the Fanconi anaemia complementation (FANC) gene family, which are mutated in Fanconi anaemia and participate in DNA repair. Interestingly, several FANC genes have been implicated in psychiatric disorders. Regional analyses of methylation differences identified loci implicated in psychiatric illness by genome-wide association studies, including CACNB2 and the major histocompatibility complex. Gene ontology analysis revealed enrichment for methylation differences in neurologically relevant genes. CONCLUSIONS Our results highlight altered DNA methylation as a potential mechanism by which the linked haplotype might confer risk for mood disorders. Differences in the phenotypic outcome of haplotype carriers might, in part, arise from additional changes in DNA methylation that converge on neurologically important pathways. Further work is required to investigate the underlying mechanisms and functional consequences of the observed differences in methylation.
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Affiliation(s)
- Rosie May Walker
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Andrea Nikie Christoforou
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Daniel L. McCartney
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Stewart W. Morris
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Nicholas A. Kennedy
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Peter Morten
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Susan Maguire Anderson
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Helen Scott Torrance
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
| | - Alix Macdonald
- />Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | | | - Heather Clare Whalley
- />Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Douglas H. R. Blackwood
- />Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Andrew Mark McIntosh
- />Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- />Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ UK
| | - David John Porteous
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
- />Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ UK
| | - Kathryn Louise Evans
- />Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU UK
- />Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ UK
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245
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Gibbs K, Collaco JM, McGrath-Morrow SA. Impact of Tobacco Smoke and Nicotine Exposure on Lung Development. Chest 2016; 149:552-561. [PMID: 26502117 DOI: 10.1378/chest.15-1858] [Citation(s) in RCA: 125] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 09/29/2015] [Accepted: 10/04/2015] [Indexed: 12/17/2022] Open
Abstract
Tobacco smoke and nicotine exposure during prenatal and postnatal life can impair lung development, alter the immune response to viral infections, and increase the prevalence of wheezing during childhood. The following review examines recent discoveries in the fields of lung development and tobacco and nicotine exposure, emphasizing studies published within the last 5 years. In utero tobacco and nicotine exposure remains common, occurring in approximately 10% of pregnancies within the United States. Exposed neonates are at increased risk for diminished lung function, altered central and peripheral respiratory chemoreception, and increased asthma symptoms throughout childhood. Recently, genomic and epigenetic risk factors, such as alterations in DNA methylation, have been identified that may influence the risk for long-term disease. This review examines the impact of prenatal tobacco and nicotine exposure on lung development with a particular focus on nicotinic acetylcholine receptors. In addition, this review examines the role of prenatal and postnatal tobacco smoke and nicotine exposure and its association with augmenting infection risk, skewing the immune response toward a T-helper type 2 bias and increasing risk for developing an allergic phenotype and asthmalike symptoms during childhood. Finally, this review outlines the respiratory morbidities associated with childhood secondhand smoke and nicotine exposure and examines genetic and epigenetic modifiers that may influence respiratory health in infants and children exposed to in utero or postnatal tobacco smoke.
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Affiliation(s)
- Kevin Gibbs
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Joseph M Collaco
- Eudowood Division of Pediatric Respiratory Sciences, Department of Pediatrics, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Sharon A McGrath-Morrow
- Eudowood Division of Pediatric Respiratory Sciences, Department of Pediatrics, Johns Hopkins Medical Institutions, Baltimore, MD.
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246
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Saare M, Modhukur V, Suhorutshenko M, Rajashekar B, Rekker K, Sõritsa D, Karro H, Soplepmann P, Sõritsa A, Lindgren CM, Rahmioglu N, Drong A, Becker CM, Zondervan KT, Salumets A, Peters M. The influence of menstrual cycle and endometriosis on endometrial methylome. Clin Epigenetics 2016; 8:2. [PMID: 26759613 PMCID: PMC4710036 DOI: 10.1186/s13148-015-0168-z] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 12/30/2015] [Indexed: 12/29/2022] Open
Abstract
Background Alterations in endometrial DNA methylation profile have been proposed as one potential mechanism initiating the development of endometriosis. However, the normal endometrial methylome is influenced by the cyclic hormonal changes, and the menstrual cycle phase-dependent epigenetic signature should be considered when studying endometrial disorders. So far, no studies have been performed to evaluate the menstrual cycle influences and endometriosis-specific endometrial methylation pattern at the same time. Results Infinium HumanMethylation 450K BeadChip arrays were used to explore DNA methylation profiles of endometrial tissues from various menstrual cycle phases from 31 patients with endometriosis and 24 healthy women. The DNA methylation profile of patients and controls was highly similar and only 28 differentially methylated regions (DMRs) between patients and controls were found. However, the overall magnitude of the methylation differences between patients and controls was rather small (Δβ ranging from –0.01 to –0.16 and from 0.01 to 0.08, respectively, for hypo- and hypermethylated CpGs). Unsupervised hierarchical clustering of the methylation data divided endometrial samples based on the menstrual cycle phase rather than diseased/non-diseased status. Further analysis revealed a number of menstrual cycle phase-specific epigenetic changes with largest changes occurring during the late-secretory and menstrual phases when substantial rearrangements of endometrial tissue take place. Comparison of cycle phase- and endometriosis-specific methylation profile changes revealed that 13 out of 28 endometriosis-specific DMRs were present in both datasets. Conclusions The results of our study accentuate the importance of considering normal cyclic epigenetic changes in studies investigating endometrium-related disease-specific methylation patterns. Electronic supplementary material The online version of this article (doi:10.1186/s13148-015-0168-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Merli Saare
- Competence Centre on Health Technologies Tartu, Tartu, Estonia.,Tartu University Women's Clinic, Tartu, Estonia.,Institute of Bio- and Translational Medicine, University of Tartu, Tartu, Estonia
| | | | | | | | - Kadri Rekker
- Competence Centre on Health Technologies Tartu, Tartu, Estonia.,Tartu University Women's Clinic, Tartu, Estonia
| | - Deniss Sõritsa
- Competence Centre on Health Technologies Tartu, Tartu, Estonia.,Tartu University Women's Clinic, Tartu, Estonia.,Elite Clinic, Tartu, Estonia.,Women's Clinic, Tartu University Hospital, Tartu, Estonia
| | - Helle Karro
- Tartu University Women's Clinic, Tartu, Estonia.,Women's Clinic, Tartu University Hospital, Tartu, Estonia
| | | | | | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nilufer Rahmioglu
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Alexander Drong
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Christian M Becker
- Endometriosis CaRe Centre, Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Oxford, UK
| | - Krina T Zondervan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.,Endometriosis CaRe Centre, Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Oxford, UK
| | - Andres Salumets
- Competence Centre on Health Technologies Tartu, Tartu, Estonia.,Tartu University Women's Clinic, Tartu, Estonia.,Institute of Bio- and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Maire Peters
- Competence Centre on Health Technologies Tartu, Tartu, Estonia.,Tartu University Women's Clinic, Tartu, Estonia
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247
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Al Tuwaijri A, Gagné-Ouellet V, Madore AM, Laprise C, Naumova AK. Local genotype influences DNA methylation at two asthma-associated regions, 5q31 and 17q21, in a founder effect population. J Med Genet 2015; 53:232-41. [PMID: 26671913 DOI: 10.1136/jmedgenet-2015-103313] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2015] [Accepted: 11/14/2015] [Indexed: 02/06/2023]
Abstract
BACKGROUND Two asthma-associated regions 17q12-q21 and 5q31.1 harbour genes that show strong effect of genotype on expression levels. DNA methylation has an important role in gene regulation; therefore, we examined DNA methylation at promoters of 12 genes from 5q31 and 17q12-q21 regions. Our goal was to determine whether DNA methylation was associated with predisposition to asthma and whether such a relationship was independent from genetic association. METHODS Using sodium bisulfite sequencing and pyrosequencing methylation assays, we examined the effect of genotype on DNA methylation in peripheral blood cells from individuals from the Saguenay-Lac-Saint-Jean asthma familial collection and lymphoblastoid cell lines. RESULTS The local genotype influenced methylation levels of solute carrier family 22 (organic 3 cation/carnitine transporter) member 5 (SLC22A5), zona pellucida binding protein 2 (ZPBP2) and gasdermin A (GSDMA) promoter regions. The genotype had a dominant effect on ZPBP2 and GSDMA methylation with lower methylation levels in individuals that carry the asthma-predisposing alleles. Males also had lower methylation at the ZPBP2 promoter than females. We did not observe an effect of asthma status that would be independent of the genotype and the sex effects in the GSDMA, ZPBP2 and SLC22A5 regions; however, GSDMA and ZPBP2 data were suggestive of interaction between asthma and methylation levels in females and SLC22A5 in males. CONCLUSIONS The local genotype influences methylation levels at SLC22A5 and ZPBP2 promoters independently of the asthma status. Further studies are necessary to confirm the relationship between GSDMA-ZPBP2 and SLC22A5 methylation and asthma in females and males separately.
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Affiliation(s)
- Abeer Al Tuwaijri
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Valérie Gagné-Ouellet
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, Quebec, Canada
| | - Anne-Marie Madore
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, Quebec, Canada
| | - Catherine Laprise
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, Quebec, Canada
| | - Anna K Naumova
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada Department of Obstetrics and Gynecology, McGill University, Montreal, Quebec, Canada The Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
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248
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Bhasin JM, Hu B, Ting AH. MethylAction: detecting differentially methylated regions that distinguish biological subtypes. Nucleic Acids Res 2015; 44:106-16. [PMID: 26673711 PMCID: PMC4705678 DOI: 10.1093/nar/gkv1461] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 11/28/2015] [Indexed: 12/20/2022] Open
Abstract
DNA methylation differences capture substantial information about the molecular and gene-regulatory states among biological subtypes. Enrichment-based next generation sequencing methods such as MBD-isolated genome sequencing (MiGS) and MeDIP-seq are appealing for studying DNA methylation genome-wide in order to distinguish between biological subtypes. However, current analytic tools do not provide optimal features for analyzing three-group or larger study designs. MethylAction addresses this need by detecting all possible patterns of statistically significant hyper- and hypo- methylation in comparisons involving any number of groups. Crucially, significance is established at the level of differentially methylated regions (DMRs), and bootstrapping determines false discovery rates (FDRs) associated with each pattern. We demonstrate this functionality in a four-group comparison among benign prostate and three clinical subtypes of prostate cancer and show that the bootstrap FDRs are highly useful in selecting the most robust patterns of DMRs. Compared to existing tools that are limited to two-group comparisons, MethylAction detects more DMRs with strong differential methylation measurements confirmed by whole genome bisulfite sequencing and offers a better balance between precision and recall in cross-cohort comparisons. MethylAction is available as an R package at http://jeffbhasin.github.io/methylaction.
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Affiliation(s)
- Jeffrey M Bhasin
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Bo Hu
- Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Angela H Ting
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
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249
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Liu H, Liu X, Zhang S, Lv J, Li S, Shang S, Jia S, Wei Y, Wang F, Su J, Wu Q, Zhang Y. Systematic identification and annotation of human methylation marks based on bisulfite sequencing methylomes reveals distinct roles of cell type-specific hypomethylation in the regulation of cell identity genes. Nucleic Acids Res 2015; 44:75-94. [PMID: 26635396 PMCID: PMC4705665 DOI: 10.1093/nar/gkv1332] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2015] [Accepted: 11/17/2015] [Indexed: 12/28/2022] Open
Abstract
DNA methylation is a key epigenetic mark that is critical for gene regulation in multicellular eukaryotes. Although various human cell types may have the same genome, these cells have different methylomes. The systematic identification and characterization of methylation marks across cell types are crucial to understand the complex regulatory network for cell fate determination. In this study, we proposed an entropy-based framework termed SMART to integrate the whole genome bisulfite sequencing methylomes across 42 human tissues/cells and identified 757 887 genome segments. Nearly 75% of the segments showed uniform methylation across all cell types. From the remaining 25% of the segments, we identified cell type-specific hypo/hypermethylation marks that were specifically hypo/hypermethylated in a minority of cell types using a statistical approach and presented an atlas of the human methylation marks. Further analysis revealed that the cell type-specific hypomethylation marks were enriched through H3K27ac and transcription factor binding sites in cell type-specific manner. In particular, we observed that the cell type-specific hypomethylation marks are associated with the cell type-specific super-enhancers that drive the expression of cell identity genes. This framework provides a complementary, functional annotation of the human genome and helps to elucidate the critical features and functions of cell type-specific hypomethylation.
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Affiliation(s)
- Hongbo Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Xiaojuan Liu
- Department of Rehabilitation, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Shumei Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Jie Lv
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China
| | - Song Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Shipeng Shang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Shanshan Jia
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Yanjun Wei
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Fang Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Jianzhong Su
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Qiong Wu
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China
| | - Yan Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
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Milagro FI, Riezu-Boj JI, Martinez JA. Epigenetic Determinants of Weight Management: Methylation Signatures. Curr Nutr Rep 2015. [DOI: 10.1007/s13668-015-0140-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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