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Lavoro A, Falzone L, Gattuso G, Conti GN, Caltabiano R, Madonna G, Capone M, McCubrey JA, Ascierto PA, Libra M, Candido S. Identification of SLC22A17 DNA methylation hotspot as a potential biomarker in cutaneous melanoma. J Transl Med 2024; 22:887. [PMID: 39358721 PMCID: PMC11445995 DOI: 10.1186/s12967-024-05622-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 08/18/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND Cancer onset and progression are driven by genetic and epigenetic alterations leading to oncogene activation and the silencing of tumor suppressor genes. Among epigenetic mechanisms, DNA methylation (methDNA) is gaining growing interest in cancer. Promoter hypomethylation is associated with oncogene activation while intragenic methDNA can be involved in transcriptional elongation, alternative spicing, and the activation of cryptic start sites. Several genes involved in the modulation of the tumor microenvironment are regulated by methDNA, including the Solute Carrier Family 22 Member 17 (SLC22A17), which is involved in iron trafficking and extracellular matrix remodeling cooperating with the Gelatinase-Associated Lipocalin (NGAL) ligand. However, the exact role of intragenic methDNA in cancer has not been fully investigated. Therefore, the aim of the present study is to explore the role of methDNA in the regulation of SLC22A17 in cutaneous melanoma (CM), used as a tumor model. METHODS Correlation and differential analyses between SLC22A17 expression and methDNA were performed using the data contained in The Cancer Genome Atlas and Gene Expression Omnibus databases. Functional studies on melanoma cell lines treated with 5-Azacytidine (5-Aza) were conducted to assess the correlation between methDNA and SLC22A17 expression. A validation study on the diagnostic potential of the in silico-identified SLC22A17 methDNA hotspot was finally performed by analyzing tissue samples obtained from CM patients and healthy controls. RESULTS The computational analyses revealed that SLC22A17 was significantly downregulated in CM, and its expression was related to promoter hypomethylation and intragenic hypermethylation. Moreover, SLC22A17 overexpression and hypermethylation of two intragenic methDNA hotspots were associated with a better clinical outcome in CM patients. The correlation between SLC22A17 methDNA and expression was confirmed in 5-Aza-treated cells. In agreement with in silico analyses, the SLC22A17 promoter methylation hotspot showed higher methDNA levels in CM samples compared to nevi. In addition, the methDNA levels of this hotspot were positively correlated with advanced CM. CONCLUSIONS The SLC22A17 methDNA hotspot could represent a promising biomarker for CM, highlighting the regulatory role of methDNA on SLC22A17 expression. These results pave the way for the identification of novel epigenetic biomarkers and therapeutic targets for the management of CM patients.
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Affiliation(s)
- Alessandro Lavoro
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, I-95123, Italy
| | - Luca Falzone
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, I-95123, Italy.
| | - Giuseppe Gattuso
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, I-95123, Italy
| | - Giuseppe N Conti
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, I-95123, Italy
| | - Rosario Caltabiano
- Department of Medical and Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, I-95123, Italy
| | - Gabriele Madonna
- Melanoma Cancer Immunotherapy and Innovative Therapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, I-80131, Italy
| | - Mariaelena Capone
- Melanoma Cancer Immunotherapy and Innovative Therapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, I-80131, Italy
| | - James A McCubrey
- Department of Microbiology and Immunology, Brody School of Medicine, East Carolina University, Greenville, NC, 27858, USA
| | - Paolo A Ascierto
- Melanoma Cancer Immunotherapy and Innovative Therapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, I-80131, Italy
| | - Massimo Libra
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, I-95123, Italy.
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, Catania, I- 95123, Italy.
| | - Saverio Candido
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, I-95123, Italy
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, Catania, I- 95123, Italy
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Wang Q, Xiong F, Wu G, Liu W, Chen J, Wang B, Chen Y. Gene body methylation in cancer: molecular mechanisms and clinical applications. Clin Epigenetics 2022; 14:154. [PMID: 36443876 PMCID: PMC9706891 DOI: 10.1186/s13148-022-01382-9] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022] Open
Abstract
DNA methylation is an important epigenetic mechanism that regulates gene expression. To date, most DNA methylation studies have focussed on CpG islands in the gene promoter region, and the mechanism of methylation and the regulation of gene expression after methylation have been clearly elucidated. However, genome-wide methylation studies have shown that DNA methylation is widespread not only in promoters but also in gene bodies. Gene body methylation is widely involved in the expression regulation of many genes and is closely related to the occurrence and progression of malignant tumours. This review focusses on the formation of gene body methylation patterns, its regulation of transcription, and its relationship with tumours, providing clues to explore the mechanism of gene body methylation in regulating gene transcription and its significance and application in the field of oncology.
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Affiliation(s)
- Qi Wang
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Fei Xiong
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Guanhua Wu
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Wenzheng Liu
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Junsheng Chen
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Bing Wang
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Yongjun Chen
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
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Wang Y, Zhang Y, Huang Y, Chen C, Zhang X, Xing Y, Gu Y, Zhang M, Cai L, Xu S, Sun B. Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment. Theranostics 2021; 11:4403-4420. [PMID: 33754068 PMCID: PMC7977462 DOI: 10.7150/thno.53737] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 01/26/2021] [Indexed: 12/20/2022] Open
Abstract
Rationale: In breast cancer, high intratumor DNA methylation heterogeneity can lead to drug-resistant, metastasis and poor prognosis of tumors, which increases the complexity of cancer diagnosis and treatment. However, most studies are limited to average DNA methylation level of individual CpGs and ignore heterogeneous DNA methylation patterns of cell subpopulations within the tumor. Thus, quantifying the variability in DNA methylation pattern in sequencing reads is valuable for understanding intratumor heterogeneity. Methods: We performed Reduced Representation Bisulfite Sequencing and RNA sequencing for tumor core and tumor periphery regions within one breast tumor. By developing a method named "epialleJS" based on Jensen-Shannon divergence, we detected the differential epialleles between tumor core and tumor periphery (CPDEs). We then explored the correlation between intratumor methylation heterogeneity and hypoxic microenvironment in TCGA breast cancer cohort. Results: More than 70% of CPDEs had higher epipolymorphism in tumor core than tumor periphery, and these CPDEs had lower methylation in tumor core. The CPDEs with lower methylation in tumor core may associate with hypoxic tumor microenvironment. Moreover, we identified a signature of five hypoxia-related DNA methylation markers which can predict the prognosis of breast cancer patients, including a CpG site cg15190451 in gene SLC16A5. Furthermore, immunohistochemical analysis confirmed that the expression of SLC16A5 was associated with clinicopathological characteristics and survival of breast cancer patients. Conclusions: The analysis of intratumor DNA methylation heterogeneity based on epialleles reveals that disordered methylation patterns in tumor core are associated with hypoxic microenvironment, which provides a framework for understanding biological heterogeneous behavior and guidance for developing effective treatment schemes for breast cancer patients.
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Andrade S, Morais T, Sandovici I, Seabra AL, Constância M, Monteiro MP. Adipose Tissue Epigenetic Profile in Obesity-Related Dysglycemia - A Systematic Review. Front Endocrinol (Lausanne) 2021; 12:681649. [PMID: 34290669 PMCID: PMC8288106 DOI: 10.3389/fendo.2021.681649] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 05/26/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Obesity is a major risk factor for dysglycemic disorders, including type 2 diabetes (T2D). However, there is wide phenotypic variation in metabolic profiles. Tissue-specific epigenetic modifications could be partially accountable for the observed phenotypic variability. SCOPE The aim of this systematic review was to summarize the available data on epigenetic signatures in human adipose tissue (AT) that characterize overweight or obesity-related insulin resistance (IR) and dysglycemia states and to identify potential underlying mechanisms through the use of unbiased bioinformatics approaches. METHODS Original data published in the last decade concerning the comparison of epigenetic marks in human AT of individuals with metabolically unhealthy overweight/obesity (MUHO) versus normal weight individuals or individuals with metabolically healthy overweight/obesity (MHO) was assessed. Furthermore, association of these epigenetic marks with IR/dysglycemic traits, including T2D, was compiled. RESULTS We catalogued more than two thousand differentially methylated regions (DMRs; above the cut-off of 5%) in the AT of individuals with MUHO compared to individuals with MHO. These DNA methylation changes were less likely to occur around the promoter regions and were enriched at loci implicated in intracellular signaling (signal transduction mediated by small GTPases, ERK1/2 signaling and intracellular trafficking). We also identified a network of seven transcription factors that may play an important role in targeting DNA methylation changes to specific genes in the AT of subjects with MUHO, contributing to the pathogeny of obesity-related IR/T2D. Furthermore, we found differentially methylated CpG sites at 8 genes that were present in AT and whole blood, suggesting that DMRs in whole blood could be potentially used as accessible biomarkers of MUHO. CONCLUSIONS The overall evidence linking epigenetic alterations in key tissues such AT to metabolic complications in human obesity is still very limited, highlighting the need for further studies, particularly those focusing on epigenetic marks other than DNA methylation. Our initial analysis suggests that DNA methylation patterns can potentially discriminate between MUHO from MHO and provide new clues into why some people with obesity are less susceptible to dysglycemia. Identifying AT-specific epigenetic targets could also lead to novel approaches to modify the progression of individuals with obesity towards metabolic disease. SYSTEMATIC REVIEW REGISTRATION PROSPERO, identifier CRD42021227237.
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Affiliation(s)
- Sara Andrade
- Endocrine and Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal
- Department of Anatomy, Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Tiago Morais
- Endocrine and Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal
- Department of Anatomy, Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Ionel Sandovici
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, United Kingdom
- Department of Obstetrics and Gynaecology and National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom
| | - Alexandre L. Seabra
- Endocrine and Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal
- Department of Anatomy, Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Miguel Constância
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Institute of Metabolic Science, Addenbrookes Hospital, Cambridge, United Kingdom
- Department of Obstetrics and Gynaecology and National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom
- National Institute of Health Research, Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Mariana P. Monteiro
- Endocrine and Metabolic Research, Unit for Multidisciplinary Research in Biomedicine (UMIB), University of Porto, Porto, Portugal
- Department of Anatomy, Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
- *Correspondence: Mariana P. Monteiro,
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Pils D, Steindl E, Bachmayr-Heyda A, Dekan S, Aust S. A Global Gene Body Methylation Measure Correlates Independently with Overall Survival in Solid Cancer Types. Cancers (Basel) 2020; 12:cancers12082257. [PMID: 32806596 PMCID: PMC7464642 DOI: 10.3390/cancers12082257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 07/31/2020] [Accepted: 08/08/2020] [Indexed: 12/19/2022] Open
Abstract
Epigenetics, CpG methylation of CpG islands (CGI) and gene bodies (GBs), plays an important role in gene regulation and cancer biology, the former established as a transcription regulator. Genome wide CpG methylation, summarized over GBs and CGIs, was analyzed for impact on overall survival (OS) in cancer. The averaged GB and CGI methylation status of each gene was categorized into methylated and unmethylated (defined) or undefined. Differentially methylated GBs and genes associated with their GB methylation status were compared to the corresponding CGI methylation states and biologically annotated. No relevant correlations of GB and CGI methylation or GB methylation and gene expression were observed. Summarized GB methylation showed impact on OS in ovarian, breast, colorectal, and pancreatic cancer, and glioblastoma, but not in lung cancer. In ovarian, breast, and colorectal cancer more defined GBs correlated with unfavorable OS, in pancreatic cancer with favorable OS and in glioblastoma more methylated GBs correlated with unfavorable OS. The GB methylation of genes were similar over different samples and even over cancer types; nevertheless, the clustering of different cancers was possible. Gene expression differences associated with summarized GB methylation were cancer specific. A genome-wide dysregulation of gene-body methylation showed impact on the outcome in different cancers.
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Affiliation(s)
- Dietmar Pils
- Division of General Surgery, Department of Surgery, Comprehensive Cancer Center (CCC) Vienna, Medical University of Vienna, 1090 Vienna, Austria;
- Correspondence: ; Tel.: +43-1-40400-41690; Fax: +43-1-40400-66740
| | - Elisabeth Steindl
- Division of General Surgery, Department of Surgery, Comprehensive Cancer Center (CCC) Vienna, Medical University of Vienna, 1090 Vienna, Austria;
| | - Anna Bachmayr-Heyda
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center (CCC) Vienna, Medical University of Vienna, 1090 Vienna, Austria; (A.B.-H.); (S.A.)
| | - Sabine Dekan
- Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria;
| | - Stefanie Aust
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center (CCC) Vienna, Medical University of Vienna, 1090 Vienna, Austria; (A.B.-H.); (S.A.)
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Hua S, Gu M, Wang Y, Ban D, Ji H. Oxymatrine reduces expression of programmed death-ligand 1 by promoting DNA demethylation in colorectal cancer cells. Clin Transl Oncol 2020; 23:750-756. [DOI: 10.1007/s12094-020-02464-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 07/18/2020] [Indexed: 02/07/2023]
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Cao D, Zhao D, Jia Z, Su T, Zhang Y, Wu Y, Wu M, Tsukamoto T, Oshima M, Jiang J, Cao X. Reactivation of Atp4a concomitant with intragenic DNA demethylation for cancer inhibition in a gastric cancer model. Life Sci 2019; 242:117214. [PMID: 31884095 DOI: 10.1016/j.lfs.2019.117214] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 12/15/2019] [Accepted: 12/20/2019] [Indexed: 12/15/2022]
Abstract
Accumulating evidence suggests that aberrant DNA methylation and gene silencing of tumor suppressors are pervasive in gastric malignancies, supporting reactivation of tumor suppressors through DNA demethylation as a potential therapeutic opportunity. Atp4a is an important tumor suppressor gene, encoding H+, K+-ATPase, and mediating gastric acid secretion in the stomach. Using transgenic gastric cancer model K19-Wnt1/C2mE (Gan) mice, by combining the transcriptome and MeDIP (methylated DNA immunoprecipitation) sequencing, together with qRT-PCR, we showed that Atp4a was expressed at low levels in tumor tissues and multiple GC cells, while both 5-aza-CdR and 18β-glycyrrhetinic acid (GRA) pharmacological treatment triggered Atp4a activation with downregulation of DNMT1. In addition, CpG island (CGI) search showed that the CpG rich region is absent in the promoter region but present in exons 9-14 of Atp4a. Methylation specific PCR (MSP) indicated that Atp4a was fully or partly methylated in multiple GC cells. Further MassArray suggested that the demethylation in the CpG site 75, 183, 196, 262-268 might be responsible for the reactivation of Atp4a. Our research identified that GRA, a bioactive component found in abundance in Radix Glycyrrhiza, reactivated Atp4a expression and inhibited gastric tumorigenesis as a potential demethylation agent.
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Affiliation(s)
- Donghui Cao
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Dan Zhao
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Zhifang Jia
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Tongrong Su
- Department of Gastric and Colorectal Surgery, First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Yangyu Zhang
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Yanhua Wu
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Menghui Wu
- Department of Gastric and Colorectal Surgery, First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Tetsuya Tsukamoto
- Department of Diagnostic Pathology I, School of Medicine, Fujita Health University, Toyoake 470-1192, Japan
| | - Masanobu Oshima
- Division of Genetics, Cancer Research Institute, Kanazawa University, Kanazawa 920-1192, Japan
| | - Jing Jiang
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Xueyuan Cao
- Department of Gastric and Colorectal Surgery, First Hospital of Jilin University, Changchun, Jilin 130021, China.
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Linscott ML, Chung WCJ. TET1 regulates fibroblast growth factor 8 transcription in gonadotropin releasing hormone neurons. PLoS One 2019; 14:e0220530. [PMID: 31361780 PMCID: PMC6667164 DOI: 10.1371/journal.pone.0220530] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 07/17/2019] [Indexed: 12/18/2022] Open
Abstract
Fibroblast growth factor 8 (FGF8) is a potent morphogen that regulates the ontogenesis of gonadotropin-releasing hormone (GnRH) neurons, which control the hypothalamus-pituitary-gonadal (HPG) axis, and therefore reproductive success. Indeed, FGF8 and FGFR1 deficiency severely compromises vertebrate reproduction in mice and humans and is associated with Kallmann Syndrome (KS), a congenital disease characterized by hypogonadotropic hypogonadism associated with anosmia. Our laboratory demonstrated that FGF8 signaling through FGFR1, both of which are KS-related genes, is necessary for proper GnRH neuron development in mice and humans. Here, we investigated the possibility that non-genetic factors, such as the epigenome, may contribute to KS onset. For this purpose, we developed an embryonic explant model, utilizing the mouse olfactory placode (OP), the birthplace of GnRH neurons. We show that TET1, which converts 5-methylcytosine residues (5mC) to 5-hydroxymethylated cytosines (5hmC), controls transcription of Fgf8 during GnRH neuron ontogenesis. Through MeDIP and ChIP RT-qPCR we found that TET1 bound to specific CpG islands on the Fgf8 promoter. We found that the temporal expression of Fgf8 correlates with not only TET1 binding, but also with 5hmC enrichment. siRNA knockdown of Tet1 reduced Fgf8 and Fgfr1 mRNA expression. During this time period, Fgf8 also switched histone status, most likely via recruitment of EZH2, a major component of the polycomb repressor complex-2 (PRC2) at E13.5. Together, these studies underscore the significance of epigenetics and chromatin modifications to temporally regulated genes involved in KS.
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Affiliation(s)
- Megan L. Linscott
- Department of Biological Sciences, Kent State University, Kent, Ohio, United States of America
| | - Wilson C. J. Chung
- Department of Biological Sciences, Kent State University, Kent, Ohio, United States of America
- School of Biomedical Sciences, Kent State University, Kent, Ohio, United States of America
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Crooke SN, Ovsyannikova IG, Poland GA, Kennedy RB. Immunosenescence: A systems-level overview of immune cell biology and strategies for improving vaccine responses. Exp Gerontol 2019; 124:110632. [PMID: 31201918 DOI: 10.1016/j.exger.2019.110632] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 04/30/2019] [Accepted: 06/06/2019] [Indexed: 02/07/2023]
Abstract
Immunosenescence contributes to a decreased capacity of the immune system to respond effectively to infections or vaccines in the elderly. The full extent of the biological changes that lead to immunosenescence are unknown, but numerous cell types involved in innate and adaptive immunity exhibit altered phenotypes and function as a result of aging. These manifestations of immunosenescence at the cellular level are mediated by dysregulation at the genetic level, and changes throughout the immune system are, in turn, propagated by numerous cellular interactions. Environmental factors, such as nutrition, also exert significant influence on the immune system during aging. While the mechanisms that govern the onset of immunosenescence are complex, systems biology approaches allow for the identification of individual contributions from each component within the system as a whole. Although there is still much to learn regarding immunosenescence, systems-level studies of vaccine responses have been highly informative and will guide the development of new vaccine candidates, novel adjuvant formulations, and immunotherapeutic drugs to improve vaccine responses among the aging population.
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Affiliation(s)
- Stephen N Crooke
- Mayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN 55905, USA.
| | | | - Gregory A Poland
- Mayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN 55905, USA.
| | - Richard B Kennedy
- Mayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN 55905, USA.
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FTO and IRX3 Genes are Not Promising Markers for Obesity in Labrador Retriever Dogs. ANNALS OF ANIMAL SCIENCE 2019. [DOI: 10.2478/aoas-2019-0004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Abstract
Obesity is a serious problem in numerous dog breeds, but knowledge of its hereditary background is scarce. On the contrary, numerous DNA polymorphisms associated with human obesity have been identified, with the strongest effect being demonstrated for FTO gene. We used targeted next-generation sequencing (tNGS) to search for polymorphisms in the region harboring FTO and IRX3 in 32 Labrador dogs. Moreover, we investigated the selected regions of FTO and IRX3, orthologous to the human regions associated with obesity, in 165 Labradors. For all dogs, the following information was available: age, sex, gonadal status, body weight, and body conformation score (BCS). The use of tNGS revealed 12,217 polymorphisms, but none of these obtained significance when lean and obese dogs were compared. Study of two SNPs in the 5’-flanking region of FTO in 165 dogs – creating two upstream reading frames (uORFs) – also showed no association with body weight and BCS but suggested the need for improvement in FTO annotation. No polymorphism was found in the 5’UTR of IRX3. Additionally, no differences of CpG islands methylation status between lean and obese dogs were found. Our study suggests that FTO and IRX3 are not useful markers of obesity in Labrador dogs.
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Zhao G, Li N, Li S, Wu W, Wang X, Gu J. High methylation of the 4-aminobutyrate aminotransferase gene predicts a poor prognosis in patients with myelodysplastic syndrome. Int J Oncol 2018; 54:491-504. [PMID: 30535457 PMCID: PMC6317695 DOI: 10.3892/ijo.2018.4652] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 11/02/2018] [Indexed: 12/18/2022] Open
Abstract
In our previous study, the 4‑aminobutyrate aminotransferase (ABAT) gene was screened and selected as a target gene that may affect the prognosis of myelodysplastic syndrome (MDS). The present study aimed to determine the prognostic value of ABAT in 152 patients with MDS, 29 patients with acute myeloid leukemia (AML) and 40 controls, by detecting the expression and methylation levels of the ABAT gene. In patients with MDS, the expression levels of ABAT were significantly reduced compared with in the controls (P<0.0001), and the degree of DNA methylation was increased in MDS subjects (P<0.0001). Age, hemoglobin level, marrow blasts, International Prognostic Scoring System karyotype, and the expression and methylation levels of ABAT were associated with overall survival (OS), as determined by univariate analysis. Multivariate analysis revealed that older age, higher marrow blasts and higher methylation percentage were independent risk factors for OS. In addition, a functional study demonstrated that ABAT gene silencing increased cell apoptosis and blocked the G1/S phase in SKM‑1 and THP‑1 human leukemia cells. A γ‑aminobutyrate aminotransferase inhibitor also blocked the G1/S phase; however, it had no effect on cell apoptosis. In conclusion, the present study demonstrated that ABAT methylation served an essential role in the progression of MDS and therefore may be considered an indicator of poor prognosis for hematological malignancies.
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Affiliation(s)
- Guangjie Zhao
- Department of Haematology, Huashan Hospital of Fudan University, Shanghai 200040, P.R. China
| | - Nianyi Li
- Department of Haematology, Huashan Hospital of Fudan University, Shanghai 200040, P.R. China
| | - Shuang Li
- Department of Haematology, Huashan Hospital of Fudan University, Shanghai 200040, P.R. China
| | - Wanling Wu
- Department of Haematology, Huashan Hospital of Fudan University, Shanghai 200040, P.R. China
| | - Xiaoqin Wang
- Department of Haematology, Huashan Hospital of Fudan University, Shanghai 200040, P.R. China
| | - Jingwen Gu
- Worldwide Medical Center, Huashan Hospital of Fudan University, Shanghai 200040, P.R. China
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He Z, Zhang R, Jiang F, Zhang H, Zhao A, Xu B, Jin L, Wang T, Jia W, Jia W, Hu C. FADS1-FADS2 genetic polymorphisms are associated with fatty acid metabolism through changes in DNA methylation and gene expression. Clin Epigenetics 2018; 10:113. [PMID: 30157936 PMCID: PMC6114248 DOI: 10.1186/s13148-018-0545-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 08/13/2018] [Indexed: 12/11/2022] Open
Abstract
Background Genome-wide association studies (GWASs) have shown that genetic variants are important determinants of free fatty acid levels. The mechanisms underlying the associations between genetic variants and free fatty acid levels are incompletely understood. Here, we aimed to identify genetic markers that could influence diverse fatty acid levels in a Chinese population and uncover the molecular mechanisms in terms of DNA methylation and gene expression. Results We identified strong associations between single-nucleotide polymorphisms (SNPs) in the fatty acid desaturase (FADS) region and multiple polyunsaturated fatty acids. Expression quantitative trait locus (eQTL) analysis of rs174570 on FADS1 and FADS2 mRNA levels proved that minor allele of rs174570 was associated with decreased FADS1 and FADS2 expression levels (P < 0.05). Methylation quantitative trait locus (mQTL) analysis of rs174570 on DNA methylation levels in three selected regions of FADS region showed that the methylation levels at four CpG sites in FADS1, one CpG site in intragenic region, and three CpG sites in FADS2 were strongly associated with rs174570 (P < 0.05). Then, we demonstrated that methylation levels at three CpG sites in FADS1 were negatively associated with FADS1 and FADS2 expression, while two CpG sites in FADS2 were positively associated with FADS1 and FADS2 expression. Using mediation analysis, we further show that the observed effect of rs174570 on gene expression was tightly correlated with the effect predicted through association with methylation. Conclusions Our findings suggest that genetic variants in the FADS region are major genetic modifiers that can regulate fatty acid metabolism through epigenetic gene regulation. Electronic supplementary material The online version of this article (10.1186/s13148-018-0545-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Zhen He
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.,Institute for Metabolic Diseases, Fengxian Central Hospital, The Third School of Clinical Medicine, Southern Medical University, Shanghai, China
| | - Rong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Feng Jiang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Hong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Aihua Zhao
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Bo Xu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Li Jin
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Tao Wang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Wei Jia
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Weiping Jia
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China. .,Institute for Metabolic Diseases, Fengxian Central Hospital, The Third School of Clinical Medicine, Southern Medical University, Shanghai, China.
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Ruggeri B, Macare C, Stopponi S, Jia T, Carvalho FM, Robert G, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Cattrell A, Conrod PJ, Desrivières S, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Paillère Martinot ML, Nees F, Papadopoulos-Orfanos D, Paus T, Poustka L, Smolka MN, Vetter NC, Walter H, Whelan R, Sommer WH, Bakalkin G, Ciccocioppo R, Schumann G. Methylation of OPRL1 mediates the effect of psychosocial stress on binge drinking in adolescents. J Child Psychol Psychiatry 2018; 59:650-658. [PMID: 29197086 PMCID: PMC5975104 DOI: 10.1111/jcpp.12843] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/16/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND Nociceptin is a key regulator linking environmental stress and alcohol drinking. In a genome-wide methylation analysis, we recently identified an association of a methylated region in the OPRL1 gene with alcohol-use disorders. METHODS Here, we investigate the biological basis of this observation by analysing psychosocial stressors, methylation of the OPRL1 gene, brain response during reward anticipation and alcohol drinking in 660 fourteen-year-old adolescents of the IMAGEN study. We validate our findings in marchigian sardinian (msP) alcohol-preferring rats that are genetically selected for increased alcohol drinking and stress sensitivity. RESULTS We found that low methylation levels in intron 1 of OPRL1 are associated with higher psychosocial stress and higher frequency of binge drinking, an effect mediated by OPRL1 methylation. In individuals with low methylation of OPRL1, frequency of binge drinking is associated with stronger BOLD response in the ventral striatum during reward anticipation. In msP rats, we found that stress results in increased alcohol intake and decreased methylation of OPRL1 in the nucleus accumbens. CONCLUSIONS Our findings describe an epigenetic mechanism that helps to explain how psychosocial stress influences risky alcohol consumption and reward processing, thus contributing to the elucidation of biological mechanisms underlying risk for substance abuse.
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Affiliation(s)
- Barbara Ruggeri
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Christine Macare
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | | | - Tianye Jia
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Fabiana M. Carvalho
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Gabriel Robert
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Tobias Banaschewski
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun LW Bokde
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- Universitaetsklinikum Hamburg Eppendorf, Hamburg, Germany
| | | | - Anna Cattrell
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Patricia J Conrod
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,Department of Psychiatry, Université de Montreal, Canada
| | - Sylvane Desrivières
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Vincent Frouin
- Neurospin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Paris, France
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité – Universitätsmedizin Berlin, Germany
| | - Hugh Garavan
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland,Departments of Psychiatry and Psychology, University of Vermont, USA
| | | | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité – Universitätsmedizin Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany
| | - Jean Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM CEA Unit 1000 “Imaging & Psychiatry”, University Paris Sud, Orsay
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM CEA Unit 1000 “Imaging & Psychiatry”, University Paris Sud, Orsay
| | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | | | - Tomáš Paus
- School of Psychology, University of Nottingham, UK,Rotman Research Institute, University of Toronto, Toronto, Canada,Child Mind Institute, New York, USA
| | - Luise Poustka
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Germany
| | - Nora C. Vetter
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité – Universitätsmedizin Berlin, Germany
| | | | - Wolfgang H Sommer
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Georgy Bakalkin
- Division of Biological Research on Drug Dependence, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | | | - Gunter Schumann
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
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14
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Jasiulionis MG. Abnormal Epigenetic Regulation of Immune System during Aging. Front Immunol 2018; 9:197. [PMID: 29483913 PMCID: PMC5816044 DOI: 10.3389/fimmu.2018.00197] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 01/23/2018] [Indexed: 12/15/2022] Open
Abstract
Epigenetics refers to the study of mechanisms controlling the chromatin structure, which has fundamental role in the regulation of gene expression and genome stability. Epigenetic marks, such as DNA methylation and histone modifications, are established during embryonic development and epigenetic profiles are stably inherited during mitosis, ensuring cell differentiation and fate. Under the effect of intrinsic and extrinsic factors, such as metabolic profile, hormones, nutrition, drugs, smoke, and stress, epigenetic marks are actively modulated. In this sense, the lifestyle may affect significantly the epigenome, and as a result, the gene expression profile and cell function. Epigenetic alterations are a hallmark of aging and diseases, such as cancer. Among biological systems compromised with aging is the decline of immune response. Different regulators of immune response have their promoters and enhancers susceptible to the modulation by epigenetic marks, which is fundamental to the differentiation and function of immune cells. Consistent evidence has showed the regulation of innate immune cells, and T and B lymphocytes by epigenetic mechanisms. Therefore, age-dependent alterations in epigenetic marks may result in the decline of immune function and this might contribute to the increased incidence of diseases in old people. In order to maintain health, we need to better understand how to avoid epigenetic alterations related to immune aging. In this review, the contribution of epigenetic mechanisms to the loss of immune function during aging will be discussed, and the promise of new means of disease prevention and management will be pointed.
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Affiliation(s)
- Miriam G Jasiulionis
- Laboratory of Ontogeny and Epigenetics, Pharmacology Department, Universidade Federal de São Paulo, São Paulo, Brazil
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15
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Andersen GB, Tost J. A Summary of the Biological Processes, Disease-Associated Changes, and Clinical Applications of DNA Methylation. Methods Mol Biol 2018; 1708:3-30. [PMID: 29224136 DOI: 10.1007/978-1-4939-7481-8_1] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
DNA methylation at cytosines followed by guanines, CpGs, forms one of the multiple layers of epigenetic mechanisms controlling and modulating gene expression through chromatin structure. It closely interacts with histone modifications and chromatin remodeling complexes to form the local genomic and higher-order chromatin landscape. DNA methylation is essential for proper mammalian development, crucial for imprinting and plays a role in maintaining genomic stability. DNA methylation patterns are susceptible to change in response to environmental stimuli such as diet or toxins, whereby the epigenome seems to be most vulnerable during early life. Changes of DNA methylation levels and patterns have been widely studied in several diseases, especially cancer, where interest has focused on biomarkers for early detection of cancer development, accurate diagnosis, and response to treatment, but have also been shown to occur in many other complex diseases. Recent advances in epigenome engineering technologies allow now for the large-scale assessment of the functional relevance of DNA methylation. As a stable nucleic acid-based modification that is technically easy to handle and which can be analyzed with great reproducibility and accuracy by different laboratories, DNA methylation is a promising biomarker for many applications.
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Affiliation(s)
- Gitte Brinch Andersen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Laboratory for Epigenetics & Environment, Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie Francois Jacob, Bâtiment G2, 2 rue Gaston Crémieux, 91000, Evry, France
| | - Jörg Tost
- Laboratory for Epigenetics & Environment, Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie Francois Jacob, Bâtiment G2, 2 rue Gaston Crémieux, 91000, Evry, France.
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16
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Kader F, Ghai M, Maharaj L. The effects of DNA methylation on human psychology. Behav Brain Res 2017; 346:47-65. [PMID: 29237550 DOI: 10.1016/j.bbr.2017.12.004] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 11/01/2017] [Accepted: 12/05/2017] [Indexed: 01/05/2023]
Abstract
DNA methylation is a fundamental epigenetic modification in the human genome; pivotal in development, genomic imprinting, X inactivation, chromosome stability, gene expression and methylation aberrations are involved in an array of human diseases. Methylation at promoters is associated with transcriptional repression, whereas gene body methylation is generally associated with gene expression. Extrinsic factors such as age, diets and lifestyle affect DNA methylation which consequently alters gene expression. Stress, anxiety, depression, life satisfaction, emotion among numerous other psychological factors also modify DNA methylation patterns. This correlation is frequently investigated in four candidate genes; NR3C1, SLC6A4, BDNF and OXTR, since regulation of these genes directly impact responses to social situations, stress, threats, behaviour and neural functions. Such studies underpin the hypothesis that DNA methylation is involved in deviant human behaviour, psychological and psychiatric conditions. These candidate genes may be targeted in future to assess the correlation between methylation, social experiences and long-term behavioural phenotypes in humans; and may potentially serve as biomarkers for therapeutic intervention.
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Affiliation(s)
- Farzeen Kader
- School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000 South Africa.
| | - Meenu Ghai
- School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000 South Africa.
| | - Leah Maharaj
- School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000 South Africa.
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17
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Polymorphism and methylation of the MC4R gene in obese and non-obese dogs. Mol Biol Rep 2017; 44:333-339. [PMID: 28755272 PMCID: PMC5579139 DOI: 10.1007/s11033-017-4114-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 07/19/2017] [Indexed: 11/26/2022]
Abstract
The dog is considered to be a useful biomedical model for human diseases and disorders, including obesity. One of the numerous genes associated with human polygenic obesity is MC4R, encoding the melanocortin 4 receptor. The aim of our study was to analyze polymorphisms and methylation of the canine MC4R in relation to adiposity. Altogether 270 dogs representing four breeds predisposed to obesity: Labrador Retriever (n = 187), Golden Retriever (n = 38), Beagle (n = 28) and Cocker Spaniel (n = 17), were studied. The dogs were classified into three groups: lean, overweight and obese, according to the 5-point Body Condition Score (BCS) scale. In the cohort of Labradors a complete phenotypic data (age, sex, neutering status, body weight and BCS) were collected for 127 dogs. The entire coding sequence as well as 5′ and 3′-flanking regions of the studied gene were sequenced and six polymorphic sites were reported. Genotype frequencies differed considerably between breeds and Labrador Retrievers appeared to be the less polymorphic. Moreover, distribution of some polymorphic variants differed significantly (P < 0.05) between small cohorts with diverse BCS in Golden Retrievers (c.777T>C, c.868C>T and c.*33C>G) and Beagles (c.-435T>C and c.637G>T). On the contrary, in Labradors no association between the studied polymorphisms and BCS or body weight was observed. Methylation analysis, using bisulfite DNA conversion followed by Sanger sequencing, was carried out for 12 dogs with BCS = 3 and 12 dogs with BCS = 5. Two intragenic CpG islands, containing 19 cytosines, were analyzed and the methylation profile did not differ significantly between lean and obese animals. We conclude that an association of the MC4R gene polymorphism with dog obesity or body weight is unlikely, in spite of the fact that some associations were found in small cohorts of Beagles and Golden Retrievers. Also methylation level of this gene is not related with dog adiposity.
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18
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Mastroeni D, Sekar S, Nolz J, Delvaux E, Lunnon K, Mill J, Liang WS, Coleman PD. ANK1 is up-regulated in laser captured microglia in Alzheimer's brain; the importance of addressing cellular heterogeneity. PLoS One 2017; 12:e0177814. [PMID: 28700589 PMCID: PMC5507536 DOI: 10.1371/journal.pone.0177814] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 05/03/2017] [Indexed: 01/19/2023] Open
Abstract
Recent epigenetic association studies have identified a new gene, ANK1, in the pathogenesis of Alzheimer’s disease (AD). Although strong associations were observed, brain homogenates were used to generate the data, introducing complications because of the range of cell types analyzed. In order to address the issue of cellular heterogeneity in homogenate samples we isolated microglial, astrocytes and neurons by laser capture microdissection from CA1 of hippocampus in the same individuals with a clinical and pathological diagnosis of AD and matched control cases. Using this unique RNAseq data set, we show that in the hippocampus, ANK1 is significantly (p<0.0001) up-regulated 4-fold in AD microglia, but not in neurons or astrocytes from the same individuals. These data provide evidence that microglia are the source of ANK1 differential expression previously identified in homogenate samples in AD.
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Affiliation(s)
- Diego Mastroeni
- Biodesign, ASU-Banner Biodesign Neurodegenerative Disease Research Center, and School of Life Sciences, Arizona State University, Tempe, AZ, United States of America
- Banner Sun Health Research Institute, 10515 West Santa Fe Drive, Sun City, AZ, United States of America
- * E-mail:
| | - Shobana Sekar
- Translational Genomics Institute, 445 North Fifth Street, Phoenix, AZ, United States of America
| | - Jennifer Nolz
- Biodesign, ASU-Banner Biodesign Neurodegenerative Disease Research Center, and School of Life Sciences, Arizona State University, Tempe, AZ, United States of America
| | - Elaine Delvaux
- Biodesign, ASU-Banner Biodesign Neurodegenerative Disease Research Center, and School of Life Sciences, Arizona State University, Tempe, AZ, United States of America
| | - Katie Lunnon
- University of Exeter Medical School, RILD, University of Exeter, Devon, United Kingdom
| | - Jonathan Mill
- University of Exeter Medical School, RILD, University of Exeter, Devon, United Kingdom
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, United Kingdom
| | - Winnie S. Liang
- Translational Genomics Institute, 445 North Fifth Street, Phoenix, AZ, United States of America
| | - Paul D. Coleman
- Biodesign, ASU-Banner Biodesign Neurodegenerative Disease Research Center, and School of Life Sciences, Arizona State University, Tempe, AZ, United States of America
- Banner Sun Health Research Institute, 10515 West Santa Fe Drive, Sun City, AZ, United States of America
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19
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The Role of Epigenetic Regulation in Transcriptional Memory in the Immune System. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2017; 106:43-69. [DOI: 10.1016/bs.apcsb.2016.09.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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20
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Tombolan L, Poli E, Martini P, Zin A, Millino C, Pacchioni B, Celegato B, Bisogno G, Romualdi C, Rosolen A, Lanfranchi G. Global DNA methylation profiling uncovers distinct methylation patterns of protocadherin alpha4 in metastatic and non-metastatic rhabdomyosarcoma. BMC Cancer 2016; 16:886. [PMID: 27842508 PMCID: PMC5109816 DOI: 10.1186/s12885-016-2936-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 10/25/2016] [Indexed: 12/16/2022] Open
Abstract
Background Rhabdomyosarcoma (RMS), which can be classified as embryonal RMS (ERMS) and alveolar RMS (ARMS), represents the most frequent soft tissue sarcoma in the pediatric population; the latter shows greater aggressiveness and metastatic potential with respect to the former. Epigenetic alterations in cancer include DNA methylation changes and histone modifications that influence overall gene expression patterns. Different tumor subtypes are characterized by distinct methylation signatures that could facilitate early disease detection and greater prognostic accuracy. Methods A genome-wide approach was used to examine methylation patterns associated with different prognoses, and DNA methylome analysis was carried out using the Agilent Human DNA Methylation platform. The results were validated using bisulfite sequencing and 5-aza-2′deoxycytidine treatment in RMS cell lines. Some in vitro functional studies were also performed to explore the involvement of a target gene in RMS tumor cells. Results In accordance with the Intergroup Rhabdomyosarcoma Study (IRS) grouping, study results showed that distinct methylation patterns distinguish RMS subgroups and that a cluster of protocadherin genes are hypermethylated in metastatic RMS. Among these, PCDHA4, whose expression was decreased by DNA methylation, emerged as a down-regulated gene in the metastatic samples. As PCDHA4-silenced cells have a significantly higher cell proliferation rate paralleled by higher cell invasiveness, PCDHA4 seems to behave as a tumor suppressor in metastatic RMS. Conclusion Study results demonstrated that DNA methylation patterns distinguish between metastatic and non-metastatic RMS and suggest that epigenetic regulation of specific genes could represent a novel therapeutic target that could enhance the efficiency of RMS treatments. Electronic supplementary material The online version of this article (doi:10.1186/s12885-016-2936-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- L Tombolan
- Department of Biology, University of Padova, Padova, Italy. .,Department of Women's and Children's Health, University of Padova, Padova, Italy.
| | - E Poli
- Department of Women's and Children's Health, University of Padova, Padova, Italy
| | - P Martini
- Department of Biology, University of Padova, Padova, Italy
| | - A Zin
- Institute of Pediatric Research, IRP, Padova, Italy
| | - C Millino
- C.R.I.B.I.-Biotechnology Centre, University of Padova, Padova, Italy
| | - B Pacchioni
- C.R.I.B.I.-Biotechnology Centre, University of Padova, Padova, Italy
| | - B Celegato
- C.R.I.B.I.-Biotechnology Centre, University of Padova, Padova, Italy
| | - G Bisogno
- Department of Women's and Children's Health, Hematology Oncology Division, University of Padova, Padova, Italy
| | - C Romualdi
- Department of Biology, University of Padova, Padova, Italy
| | - A Rosolen
- Department of Women's and Children's Health, Hematology Oncology Division, University of Padova, Padova, Italy
| | - G Lanfranchi
- Department of Biology, University of Padova, Padova, Italy. .,C.R.I.B.I.-Biotechnology Centre, University of Padova, Padova, Italy.
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21
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Lee SM, Kim-Ha J, Choi WY, Lee J, Kim D, Lee J, Choi E, Kim YJ. Interplay of genetic and epigenetic alterations in hepatocellular carcinoma. Epigenomics 2016; 8:993-1005. [PMID: 27411963 DOI: 10.2217/epi-2016-0027] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Genetic and epigenetic alterations play prominent roles in hepatocarcinogenesis and their appearance varies depending on etiological factors, race and tumor progression. Intriguingly, distinct patterns of these genetic and epigenetic mutations are coupled not only to affect each other, but to trigger different types of tumorigenesis. The patterns and frequencies of somatic variations vary depending on the nature of the surrounding chromatin. On the other hand, epigenetic alterations often induce genomic instability prone to mutation. Therefore, genetic mutations and epigenetic alterations in hepatocellular carcinoma appear to be inseparable factors that accelerate tumorigenesis synergistically. We have summarized recent findings on genetic and epigenetic modifications, their influences on each other's alterations and putative roles in liver tumorigenesis.
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Affiliation(s)
- Sun-Min Lee
- Department of Biochemistry, College of Life Science & Technology, Yonsei University, Seoul, Korea
| | - Jeongsil Kim-Ha
- Department of Integrative Bioscience & Biotechnology, College of Life Sciences, Sejong University, Seoul, Korea
| | - Won-Young Choi
- Department of Integrated Omics for Biomedical Science, Graduate School, Yonsei University, Seoul, Korea
| | - Jungwoo Lee
- Department of Integrated Omics for Biomedical Science, Graduate School, Yonsei University, Seoul, Korea
| | - Dawon Kim
- Department of Integrated Omics for Biomedical Science, Graduate School, Yonsei University, Seoul, Korea
| | - Jinyoung Lee
- Department of Integrated Omics for Biomedical Science, Graduate School, Yonsei University, Seoul, Korea
| | - Eunji Choi
- Department of Integrated Omics for Biomedical Science, Graduate School, Yonsei University, Seoul, Korea
| | - Young-Joon Kim
- Department of Biochemistry, College of Life Science & Technology, Yonsei University, Seoul, Korea.,Department of Integrated Omics for Biomedical Science, Graduate School, Yonsei University, Seoul, Korea
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