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Pierozan P, Höglund A, Theodoropoulou E, Karlsson O. Perfluorooctanesulfonic acid (PFOS) induced cancer related DNA methylation alterations in human breast cells: A whole genome methylome study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:174864. [PMID: 39032741 DOI: 10.1016/j.scitotenv.2024.174864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/24/2024] [Accepted: 07/16/2024] [Indexed: 07/23/2024]
Abstract
DNA methylation plays a pivotal role in cancer. The ubiquitous contaminant perfluorooctanesulfonic acid (PFOS) has been epidemiologically associated with breast cancer, and can induce proliferation and malignant transformation of normal human breast epithelial cells (MCF-10A), but the information about its effect on DNA methylation is sparse. The aim of this study was to characterize the whole-genome methylome effects of PFOS in our breast cell model and compare the findings with previously demonstrated DNA methylation alterations in breast tumor tissues. The DNA methylation profile was assessed at single CpG resolution in MCF-10A cells treated with 1 μM PFOS for 72 h by using Enzymatic Methyl sequencing (EM-seq). We found 12,591 differentially methylated CpG-sites and 13,360 differentially methylated 100 bp tiles in the PFOS exposed breast cells. These differentially methylated regions (DMRs) overlapped with 2406 genes of which 494 were long non-coding RNA and 1841 protein coding genes. We identified 339 affected genes that have been shown to display altered DNA methylation in breast cancer tissue and several other genes related to cancer development. This includes hypermethylation of GACAT3, DELEC1, CASC2, LCIIAR, MUC16, SYNE1 and hypomethylation of TTN and KMT2C. DMRs were also found in estrogen receptor genes (ESR1, ESR2, ESRRG, ESRRB, GREB1) and estrogen responsive genes (GPER1, EEIG1, RERG). The gene ontology analysis revealed pathways related to cancer phenotypes such as cell adhesion and growth. These findings improve the understanding of PFOS's potential role in breast cancer and illustrate the value of whole-genome methylome analysis in uncovering mechanisms of chemical effects, identifying biomarker candidates, and strengthening epidemiological associations, potentially impacting risk assessment.
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Affiliation(s)
- Paula Pierozan
- Science for Life Laboratory, Department of Environmental Science, Stockholm University, 114 18 Stockholm, Sweden; Stockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, 106 91 Stockholm, Sweden
| | - Andrey Höglund
- Science for Life Laboratory, Department of Environmental Science, Stockholm University, 114 18 Stockholm, Sweden; Stockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, 106 91 Stockholm, Sweden
| | - Eleftheria Theodoropoulou
- Science for Life Laboratory, Department of Environmental Science, Stockholm University, 114 18 Stockholm, Sweden; Stockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, 106 91 Stockholm, Sweden
| | - Oskar Karlsson
- Science for Life Laboratory, Department of Environmental Science, Stockholm University, 114 18 Stockholm, Sweden; Stockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, 106 91 Stockholm, Sweden.
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2
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Fan Y, Sun C, Yan K, Li P, Hein I, Gilroy EM, Kear P, Bi Z, Yao P, Liu Z, Liu Y, Bai J. Recent Advances in Studies of Genomic DNA Methylation and Its Involvement in Regulating Drought Stress Response in Crops. PLANTS (BASEL, SWITZERLAND) 2024; 13:1400. [PMID: 38794470 PMCID: PMC11125032 DOI: 10.3390/plants13101400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 05/10/2024] [Accepted: 05/11/2024] [Indexed: 05/26/2024]
Abstract
As global arid conditions worsen and groundwater resources diminish, drought stress has emerged as a critical impediment to plant growth and development globally, notably causing declines in crop yields and even the extinction of certain cultivated species. Numerous studies on drought resistance have demonstrated that DNA methylation dynamically interacts with plant responses to drought stress by modulating gene expression and developmental processes. However, the precise mechanisms underlying these interactions remain elusive. This article consolidates the latest research on the role of DNA methylation in plant responses to drought stress across various species, focusing on methods of methylation detection, mechanisms of methylation pattern alteration (including DNA de novo methylation, DNA maintenance methylation, and DNA demethylation), and overall responses to drought conditions. While many studies have observed significant shifts in genome-wide or gene promoter methylation levels in drought-stressed plants, the identification of specific genes and pathways involved remains limited. This review aims to furnish a reference for detailed research into plant responses to drought stress through epigenetic approaches, striving to identify drought resistance genes regulated by DNA methylation, specific signaling pathways, and their molecular mechanisms of action.
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Affiliation(s)
- Youfang Fan
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; (Y.F.); (P.L.); (Z.B.); (P.Y.); (Z.L.); (Y.L.)
| | - Chao Sun
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; (Y.F.); (P.L.); (Z.B.); (P.Y.); (Z.L.); (Y.L.)
| | - Kan Yan
- School of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
| | - Pengcheng Li
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; (Y.F.); (P.L.); (Z.B.); (P.Y.); (Z.L.); (Y.L.)
| | - Ingo Hein
- The James Hutton Institute, Dundee DD2 5DA, UK; (I.H.); (E.M.G.)
| | | | - Philip Kear
- International Potato Center (CIP), CIP China Center for Asia Pacific (CCCAP), Beijing 102199, China;
| | - Zhenzhen Bi
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; (Y.F.); (P.L.); (Z.B.); (P.Y.); (Z.L.); (Y.L.)
| | - Panfeng Yao
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; (Y.F.); (P.L.); (Z.B.); (P.Y.); (Z.L.); (Y.L.)
| | - Zhen Liu
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; (Y.F.); (P.L.); (Z.B.); (P.Y.); (Z.L.); (Y.L.)
| | - Yuhui Liu
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; (Y.F.); (P.L.); (Z.B.); (P.Y.); (Z.L.); (Y.L.)
| | - Jiangping Bai
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; (Y.F.); (P.L.); (Z.B.); (P.Y.); (Z.L.); (Y.L.)
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Marinov GK, Chen X, Swaffer MP, Xiang T, Grossman AR, Greenleaf WJ. Genome-wide distribution of 5-hydroxymethyluracil and chromatin accessibility in the Breviolum minutum genome. Genome Biol 2024; 25:115. [PMID: 38711126 PMCID: PMC11071213 DOI: 10.1186/s13059-024-03261-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 04/28/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND In dinoflagellates, a unique and extremely divergent genomic and nuclear organization has evolved. The highly unusual features of dinoflagellate nuclei and genomes include permanently condensed liquid crystalline chromosomes, primarily packaged by proteins other than histones, genes organized in very long unidirectional gene arrays, a general absence of transcriptional regulation, high abundance of the otherwise very rare DNA modification 5-hydroxymethyluracil (5-hmU), and many others. While most of these fascinating properties are originally identified in the 1970s and 1980s, they have not yet been investigated using modern genomic tools. RESULTS In this work, we address some of the outstanding questions regarding dinoflagellate genome organization by mapping the genome-wide distribution of 5-hmU (using both immunoprecipitation-based and basepair-resolution chemical mapping approaches) and of chromatin accessibility in the genome of the Symbiodiniaceae dinoflagellate Breviolum minutum. We find that the 5-hmU modification is preferentially enriched over certain classes of repetitive elements, often coincides with the boundaries between gene arrays, and is generally correlated with decreased chromatin accessibility, the latter otherwise being largely uniform along the genome. We discuss the potential roles of 5-hmU in the functional organization of dinoflagellate genomes and its relationship to the transcriptional landscape of gene arrays. CONCLUSIONS Our results provide the first window into the 5-hmU and chromatin accessibility landscapes in dinoflagellates.
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Affiliation(s)
- Georgi K Marinov
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA.
| | - Xinyi Chen
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Matthew P Swaffer
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| | - Tingting Xiang
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, 94305, USA
| | - Arthur R Grossman
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, 94305, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA.
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, 94305, USA.
- Department of Applied Physics, Stanford University, Stanford, CA, 94305, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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Gautam P, Gupta S, Sachan M. Comprehensive DNA methylation profiling by MeDIP-NGS identifies potential genes and pathways for epithelial ovarian cancer. J Ovarian Res 2024; 17:83. [PMID: 38627856 PMCID: PMC11022481 DOI: 10.1186/s13048-024-01395-3] [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: 12/27/2023] [Accepted: 03/16/2024] [Indexed: 04/19/2024] Open
Abstract
Ovarian cancer, among all gynecologic malignancies, exhibits the highest incidence and mortality rate, primarily because it is often presents with non-specific or no symptoms during its early stages. For the advancement of Ovarian Cancer Diagnosis, it is crucial to identify the potential molecular signatures that could significantly differentiate between healthy and ovarian cancerous tissues and can be used further as a diagnostic biomarker for detecting ovarian cancer. In this study, we investigated the genome-wide methylation patterns in ovarian cancer patients using Methylated DNA Immunoprecipitation (MeDIP-Seq) followed by NGS. Identified differentially methylated regions (DMRs) were further validated by targeted bisulfite sequencing for CpG site-specific methylation profiles. Furthermore, expression validation of six genes by Quantitative Reverse Transcriptase-PCR was also performed. Out of total 120 differentially methylated genes (DMGs), 68 genes were hypermethylated, and 52 were hypomethylated in their promoter region. After analysis, we identified the top 6 hub genes, namely POLR3B, PLXND1, GIGYF2, STK4, BMP2 and CRKL. Interestingly we observed Non-CpG site methylation in the case of POLR3B and CRKL which was statistically significant in discriminating ovarian cancer samples from normal controls. The most significant pathways identified were focal adhesion, the MAPK signaling pathway, and the Ras signaling pathway. Expression analysis of hypermethylated genes was correlated with the downregulation of the genes. POLR3B and GIGYF2 turned out to be the novel genes associated with the carcinogenesis of EOC. Our study demonstrated that methylation profiling through MeDIP-sequencing has effectively identified six potential hub genes and pathways that might exacerbate our understanding of underlying molecular mechanisms of ovarian carcinogenesis.
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Affiliation(s)
- Priyanka Gautam
- Department of Biotechnology, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, 211004, India
| | - Sameer Gupta
- Department of Surgical Oncology, King George Medical University, Lucknow, India
| | - Manisha Sachan
- Department of Biotechnology, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, 211004, India.
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Nava AA, Arboleda VA. The omics era: a nexus of untapped potential for Mendelian chromatinopathies. Hum Genet 2024; 143:475-495. [PMID: 37115317 PMCID: PMC11078811 DOI: 10.1007/s00439-023-02560-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 04/10/2023] [Indexed: 04/29/2023]
Abstract
The OMICs cascade describes the hierarchical flow of information through biological systems. The epigenome sits at the apex of the cascade, thereby regulating the RNA and protein expression of the human genome and governs cellular identity and function. Genes that regulate the epigenome, termed epigenes, orchestrate complex biological signaling programs that drive human development. The broad expression patterns of epigenes during human development mean that pathogenic germline mutations in epigenes can lead to clinically significant multi-system malformations, developmental delay, intellectual disabilities, and stem cell dysfunction. In this review, we refer to germline developmental disorders caused by epigene mutation as "chromatinopathies". We curated the largest number of human chromatinopathies to date and our expanded approach more than doubled the number of established chromatinopathies to 179 disorders caused by 148 epigenes. Our study revealed that 20.6% (148/720) of epigenes cause at least one chromatinopathy. In this review, we highlight key examples in which OMICs approaches have been applied to chromatinopathy patient biospecimens to identify underlying disease pathogenesis. The rapidly evolving OMICs technologies that couple molecular biology with high-throughput sequencing or proteomics allow us to dissect out the causal mechanisms driving temporal-, cellular-, and tissue-specific expression. Using the full repertoire of data generated by the OMICs cascade to study chromatinopathies will provide invaluable insight into the developmental impact of these epigenes and point toward future precision targets for these rare disorders.
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Affiliation(s)
- Aileen A Nava
- Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
- Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
- Broad Stem Cell Research Center, University of California, Los Angeles, CA, USA
| | - Valerie A Arboleda
- Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
- Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
- Department of Computational Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
- Broad Stem Cell Research Center, University of California, Los Angeles, CA, USA.
- Molecular Biology Institute, University of California, Los Angeles, CA, USA.
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA.
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Zhang H, Liu L, Li M. Mini-review of DNA Methylation Detection Techniques and Their Potential Applications in Disease Diagnosis, Prognosis, and Treatment. ACS Sens 2024; 9:1089-1103. [PMID: 38365574 DOI: 10.1021/acssensors.3c02328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
DNA methylation is the dominant epigenetic mechanism for regulating gene expression in mammals, playing crucial roles in development, differentiation, and tissue homeostasis. Aberrations in DNA methylation are closely associated with the potential onset of various diseases. Consequently, numerous DNA methylation detection techniques have been successively developed. These methods not only facilitate the exploration of disease mechanisms but also hold significant promise for the development of diagnostic and prognostic strategies. In this Perspective, we present a comprehensive overview of commonly employed DNA methylation detection techniques as well as biosensing based on their underlying analytical techniques. For its medical applications, we begin by examining the pathogenesis of different diseases and then proceed to discuss how relevant technologies are applied in the context of these specific medical conditions. Additionally, we briefly discuss the current limitations of these techniques and highlight future challenges in advancing methylation detection and analysis methodologies.
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Affiliation(s)
- Huaming Zhang
- Institute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Lei Liu
- Institute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Min Li
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
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Tatemoto P, Pértille F, Bernardino T, Zanella R, Guerrero-Bosagna C, Zanella AJ. An enriched maternal environment and stereotypies of sows differentially affect the neuro-epigenome of brain regions related to emotionality in their piglets. Epigenetics 2023; 18:2196656. [PMID: 37192378 DOI: 10.1080/15592294.2023.2196656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 02/15/2023] [Accepted: 03/08/2023] [Indexed: 05/18/2023] Open
Abstract
Epigenetic mechanisms are important modulators of neurodevelopmental outcomes in the offspring of animals challenged during pregnancy. Pregnant sows living in a confined environment are challenged with stress and lack of stimulation which may result in the expression of stereotypies (repetitive behaviours without an apparent function). Little attention has been devoted to the postnatal effects of maternal stereotypies in the offspring. We investigated how the environment and stereotypies of pregnant sows affected the neuro-epigenome of their piglets. We focused on the amygdala, frontal cortex, and hippocampus, brain regions related to emotionality, learning, memory, and stress response. Differentially methylated regions (DMRs) were investigated in these brain regions of male piglets born from sows kept in an enriched vs a barren environment. Within the latter group of piglets, we compared the brain methylomes of piglets born from sows expressing stereotypies vs sows not expressing stereotypies. DMRs emerged in each comparison. While the epigenome of the hippocampus and frontal cortex of piglets is mainly affected by the maternal environment, the epigenome of the amygdala is mainly affected by maternal stereotypies. The molecular pathways and mechanisms triggered in the brains of piglets by maternal environment or stereotypies are different, which is reflected on the differential gene function associated to the DMRs found in each piglets' brain region . The present study is the first to investigate the neuro-epigenomic effects of maternal enrichment in pigs' offspring and the first to investigate the neuro-epigenomic effects of maternal stereotypies in the offspring of a mammal.
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Affiliation(s)
- Patricia Tatemoto
- Center for Comparative Studies in Sustainability, Health and Welfare, Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Science, FMVZ, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Fábio Pértille
- Avian Behavioral Genomics and Physiology Group, IFM Biology, Linköping University, Linköping, Sweden
- Animal Biotechnology Laboratory, Animal Science Department, University of São Paulo - Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
- Physiology and Environmental Toxicology Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Thiago Bernardino
- Center for Comparative Studies in Sustainability, Health and Welfare, Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Science, FMVZ, University of São Paulo, Pirassununga, São Paulo, Brazil
- Graduation Program in One Health, University of Santo Amaro, São Paulo Brazil
| | - Ricardo Zanella
- Faculty of Agronomy and Veterinary Medicine, University of Passo Fundo, Passo Fundo, Rio Grande do Sul, Brazil
| | - Carlos Guerrero-Bosagna
- Avian Behavioral Genomics and Physiology Group, IFM Biology, Linköping University, Linköping, Sweden
- Physiology and Environmental Toxicology Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Adroaldo José Zanella
- Center for Comparative Studies in Sustainability, Health and Welfare, Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Science, FMVZ, University of São Paulo, Pirassununga, São Paulo, Brazil
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Papin C, Ibrahim A, Sabir JSM, Le Gras S, Stoll I, Albiheyri RS, Zari AT, Bahieldin A, Bellacosa A, Bronner C, Hamiche A. MBD4 loss results in global reactivation of promoters and retroelements with low methylated CpG density. J Exp Clin Cancer Res 2023; 42:301. [PMID: 37957685 PMCID: PMC10644448 DOI: 10.1186/s13046-023-02882-z] [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: 05/17/2023] [Accepted: 11/02/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Inherited defects in the base-excision repair gene MBD4 predispose individuals to adenomatous polyposis and colorectal cancer, which is characterized by an accumulation of C > T transitions resulting from spontaneous deamination of 5'-methylcytosine. METHODS Here, we have investigated the potential role of MBD4 in regulating DNA methylation levels using genome-wide transcriptome and methylome analyses. Additionally, we have elucidated its function through a series of in vitro experiments. RESULTS Here we show that the protein MBD4 is required for DNA methylation maintenance and G/T mismatch repair. Transcriptome and methylome analyses reveal a genome-wide hypomethylation of promoters, gene bodies and repetitive elements in the absence of MBD4 in vivo. Methylation mark loss is accompanied by a broad transcriptional derepression phenotype affecting promoters and retroelements with low methylated CpG density. MBD4 in vivo forms a complex with the mismatch repair proteins (MMR), which exhibits high bi-functional glycosylase/AP-lyase endonuclease specific activity towards methylated DNA substrates containing a G/T mismatch. Experiments using recombinant proteins reveal that the association of MBD4 with the MMR protein MLH1 is required for this activity. CONCLUSIONS Our data identify MBD4 as an enzyme specifically designed to repair deaminated 5-methylcytosines and underscores its critical role in safeguarding against methylation damage. Furthermore, it illustrates how MBD4 functions in normal and pathological conditions.
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Affiliation(s)
- Christophe Papin
- Institut de Génétique Et Biologie Moléculaire Et Cellulaire (IGBMC), UdS, CNRS, INSERM, Equipe Labélisée Ligue Contre Le Cancer, 1 Rue Laurent Fries, B.P. 10142, Illkirch, 67404, Cedex, France
| | - Abdulkhaleg Ibrahim
- Institut de Génétique Et Biologie Moléculaire Et Cellulaire (IGBMC), UdS, CNRS, INSERM, Equipe Labélisée Ligue Contre Le Cancer, 1 Rue Laurent Fries, B.P. 10142, Illkirch, 67404, Cedex, France
- National Research Centre for Tropical and Transboundary Diseases (NRCTTD), Alzentan, 99316, Libya
| | - Jamal S M Sabir
- Centre of Excellence in Bionanoscience, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Stéphanie Le Gras
- Institut de Génétique Et Biologie Moléculaire Et Cellulaire (IGBMC), UdS, CNRS, INSERM, Equipe Labélisée Ligue Contre Le Cancer, 1 Rue Laurent Fries, B.P. 10142, Illkirch, 67404, Cedex, France
| | - Isabelle Stoll
- Institut de Génétique Et Biologie Moléculaire Et Cellulaire (IGBMC), UdS, CNRS, INSERM, Equipe Labélisée Ligue Contre Le Cancer, 1 Rue Laurent Fries, B.P. 10142, Illkirch, 67404, Cedex, France
| | - Raed S Albiheyri
- Centre of Excellence in Bionanoscience, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ali T Zari
- Centre of Excellence in Bionanoscience, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ahmed Bahieldin
- Centre of Excellence in Bionanoscience, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Alfonso Bellacosa
- Cancer Biology Program, Cancer Epigenetics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA
| | - Christian Bronner
- Institut de Génétique Et Biologie Moléculaire Et Cellulaire (IGBMC), UdS, CNRS, INSERM, Equipe Labélisée Ligue Contre Le Cancer, 1 Rue Laurent Fries, B.P. 10142, Illkirch, 67404, Cedex, France.
| | - Ali Hamiche
- Institut de Génétique Et Biologie Moléculaire Et Cellulaire (IGBMC), UdS, CNRS, INSERM, Equipe Labélisée Ligue Contre Le Cancer, 1 Rue Laurent Fries, B.P. 10142, Illkirch, 67404, Cedex, France.
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9
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Ricke DO, Ng D, Michaleas A, Fremont-Smith P. Omics Analysis and Quality Control Pipelines in a High-Performance Computing Environment. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2023; 27:519-525. [PMID: 37943668 DOI: 10.1089/omi.2023.0078] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Data quality is often an overlooked feature in the analysis of omics data. This is particularly relevant in studies of chemical and pathogen exposures that can modify an individual's epigenome and transcriptome with persistence over time. Portable, quality control (QC) pipelines for multiple different omics datasets are therefore needed. To meet these goals, portable quality assurance (QA) metrics, metric acceptability criterion, and pipelines to compute these metrics were developed and consolidated into one framework for 12 different omics assays. Performance of these QA metrics and pipelines were evaluated on human data generated by the Defense Advanced Research Projects Agency (DARPA) Epigenetic CHaracterization and Observation (ECHO) program. Twelve analytical pipelines were developed leveraging standard tools when possible. These QC pipelines were containerized using Singularity to ensure portability and scalability. Datasets for these 12 omics assays were analyzed and results were summarized. The quality thresholds and metrics used were described. We found that these pipelines enabled early identification of lower quality datasets, datasets with insufficient reads for additional sequencing, and experimental protocols needing refinements. These omics data analysis and QC pipelines are available as open-source resources as reported and discussed in this article for the omics and life sciences communities.
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Affiliation(s)
- Darrell O Ricke
- Massachusetts Institute of Technology Lincoln Laboratory, Lexington, Massachusetts, USA
| | - Derek Ng
- Massachusetts Institute of Technology Lincoln Laboratory, Lexington, Massachusetts, USA
| | - Adam Michaleas
- Massachusetts Institute of Technology Lincoln Laboratory, Lexington, Massachusetts, USA
| | - Philip Fremont-Smith
- Massachusetts Institute of Technology Lincoln Laboratory, Lexington, Massachusetts, USA
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10
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Xue X, Wang Z, Wang Y, Zhou X. Disease Diagnosis Based on Nucleic Acid Modifications. ACS Chem Biol 2023; 18:2114-2127. [PMID: 37527510 DOI: 10.1021/acschembio.3c00251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Nucleic acid modifications include a wide range of epigenetic and epitranscriptomic factors and impact a wide range of nucleic acids due to their profound influence on biological inheritance, growth, and metabolism. The recently developed methods of mapping and characterizing these modifications have promoted their discovery as well as large-scale studies in eukaryotes, especially in humans. Because of these pioneering strategies, nucleic acid modifications have been shown to have a great impact on human disorders such as cancer. Therefore, whether nucleic acid modifications could become a new type of biomarker remains an open question. In this review, we briefly look back at classical nucleic acid modifications and then focus on the progress made in investigating these modifications as diagnostic biomarkers in clinical therapy and present our perspective on their development prospects.
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Affiliation(s)
- Xiaochen Xue
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Zhiying Wang
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
- Department of Chemistry, College of Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Yafen Wang
- School of Public Health, Wuhan University, Wuhan 430071, China
| | - Xiang Zhou
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan 430071, China
- Cross Research Institute of Zhongnan Hospital, Wuhan University, Wuhan 430071, China
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11
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Zhang P, Lu Y, Li Y, Wang K, An H, Tan Y. Genome-wide DNA methylation analysis in schizophrenia with tardive dyskinesia: a preliminary study. Genes Genomics 2023; 45:1317-1328. [PMID: 37414911 DOI: 10.1007/s13258-023-01414-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 06/01/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND Tardive dyskinesia (TD) develops in 20-30% of schizophrenia patients and up to 50% in patients > 50 years old. DNA methylation may play an important role in the development of TD. OBJECTIVE DNA methylation analyses in schizophrenia with TD. METHODS We conducted a genome-wide DNA methylation analysis in schizophrenia with TD using methylated DNA immunoprecipitation coupled with next-generation sequencing (MeDIP-Seq) in a Chinese sample including five schizophrenia patients with TD and five without TD (NTD), and five healthy controls. The results were expressed as the log2FC, fold change of normalized tags between two groups within the differentially methylated region (DMR). For validation, the pyrosequencing was used to quantify DNA methylation levels of several methylated genes in an independent sample (n = 30). RESULTS Through genome-wide MeDIP-Seq analysis, we identified 116 genes that were significantly differentially methylated in promotor regions in comparison of TD group with NTD group including 66 hypermethylated genes (top 4 genes are GABRR1, VANGL2, ZNF534, and ZNF746) and 50 hypomethylated genes (top 4 genes are DERL3, GSTA4, KNCN, and LRRK1). Part of these genes (such as DERL3, DLGAP2, GABRR1, KLRG2, LRRK1, VANGL2, and ZP3) were previously reported to be associated with methylation in schizophrenia. Gene Ontology enrichment and KEGG pathway analyses identified several pathways. So far, we have confirmed the methylation of 3 genes (ARMC6, WDR75, and ZP3) in schizophrenia with TD using pyrosequencing. CONCLUSIONS This study identified number of methylated genes and pathways for TD and will provide potential biomarkers for TD and serve as a resource for replication in other populations.
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Affiliation(s)
- Ping Zhang
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China
| | - Yongke Lu
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, 25755, USA
| | - Yanli Li
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China
| | - Kesheng Wang
- Department of Family and Community Health, School of Nursing, Health Sciences Center, West Virginia University, Office 6419, Post Office Box 9600, Morgantown, WV, 26506, USA.
| | - Huimei An
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China
| | - Yunlong Tan
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China.
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12
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Marinov GK, Chen X, Swaffer MP, Xiang T, Grossman AR, Greenleaf WJ. Genome-wide distribution of 5-hydroxymethyluracil and chromatin accessibility in the Breviolum minutum genome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.18.558303. [PMID: 37781619 PMCID: PMC10541103 DOI: 10.1101/2023.09.18.558303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
In dinoflagellates, a unique and extremely divergent genomic and nuclear organization has evolved. The highly unusual features of dinoflagellate nuclei and genomes include permanently condensed liquid crystalline chromosomes, primarily packaged by proteins other than histones, genes organized in very long unidirectional gene arrays, a general absence of transcriptional regulation, high abundance of the otherwise very rare DNA modification 5-hydroxymethyluracil (5-hmU), and many others. While most of these fascinating properties were originally identified in the 1970s and 1980s, they have not yet been investigated using modern genomic tools. In this work, we address some of the outstanding questions regarding dinoflagellate genome organization by mapping the genome-wide distribution of 5-hmU (using both immunoprecipitation-based and basepair-resolution chemical mapping approaches) and of chromatin accessibility in the genome of the Symbiodiniaceae dinoflagellate Breviolum minutum. We find that the 5-hmU modification is preferentially enriched over certain classes of repetitive elements, often coincides with the boundaries between gene arrays, and is generally correlated with decreased chromatin accessibility, the latter otherwise being largely uniform along the genome. We discuss the potential roles of 5-hmU in the functional organization of dinoflagellate genomes and its relationship to the transcriptional landscape of gene arrays.
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Affiliation(s)
- Georgi K Marinov
- Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Xinyi Chen
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA
| | | | - Tingting Xiang
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA
| | - Arthur R Grossman
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University, Stanford, California 94305, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
- Department of Applied Physics, Stanford University, Stanford, California 94305, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
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13
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Ribeiro ML, Sánchez Vinces S, Mondragon L, Roué G. Epigenetic targets in B- and T-cell lymphomas: latest developments. Ther Adv Hematol 2023; 14:20406207231173485. [PMID: 37273421 PMCID: PMC10236259 DOI: 10.1177/20406207231173485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 04/17/2023] [Indexed: 06/06/2023] Open
Abstract
Non-Hodgkin's lymphomas (NHLs) comprise a diverse group of diseases, either of mature B-cell or of T-cell derivation, characterized by heterogeneous molecular features and clinical manifestations. While most of the patients are responsive to standard chemotherapy, immunotherapy, radiation and/or stem cell transplantation, relapsed and/or refractory cases still have a dismal outcome. Deep sequencing analysis have pointed out that epigenetic dysregulations, including mutations in epigenetic enzymes, such as chromatin modifiers and DNA methyltransferases (DNMTs), are prevalent in both B- cell and T-cell lymphomas. Accordingly, over the past decade, a large number of epigenetic-modifying agents have been developed and introduced into the clinical management of these entities, and a few specific inhibitors have already been approved for clinical use. Here we summarize the main epigenetic alterations described in B- and T-NHL, that further supported the clinical development of a selected set of epidrugs in determined diseases, including inhibitors of DNMTs, histone deacetylases (HDACs), and extra-terminal domain proteins (bromodomain and extra-terminal motif; BETs). Finally, we highlight the most promising future directions of research in this area, explaining how bioinformatics approaches can help to identify new epigenetic targets in B- and T-cell lymphoid neoplasms.
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Affiliation(s)
- Marcelo Lima Ribeiro
- Lymphoma Translational Group, Josep Carreras
Leukaemia Research Institute, Badalona, Spain
- Laboratory of Immunopharmacology and Molecular
Biology, Sao Francisco University Medical School, Braganca Paulista,
Brazil
| | - Salvador Sánchez Vinces
- Laboratory of Immunopharmacology and Molecular
Biology, Sao Francisco University Medical School, Braganca Paulista,
Brazil
| | - Laura Mondragon
- T Cell Lymphoma Group, Josep Carreras Leukaemia
Research Institute, IJC. Ctra de Can Ruti, Camí de les Escoles s/n, 08916
Badalona, Barcelona, Spain
| | - Gael Roué
- Lymphoma Translational Group, Josep Carreras
Leukaemia Research Institute, IJC. Ctra de Can Ruti, Camí de les Escoles
s/n, 08916 Badalona, Barcelona, Spain
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14
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Tinhofer I, Staudte S, George S. Liquid biopsy in head neck cancer: ready for clinical routine diagnostics? Curr Opin Oncol 2023; 35:151-157. [PMID: 36966499 DOI: 10.1097/cco.0000000000000935] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2023]
Abstract
PURPOSE OF REVIEW The bodily fluids of patients with solid cancers representing a minimally-invasive source of clinically exploitable biomarkers have attracted an increasing amount of attention in recent years. In patients with head and neck squamous cell carcinoma (HNSCC), cell-free tumour DNA (ctDNA) belongs to the most promising liquid biomarkers for monitoring disease burden and identifying patients at high risk of recurrence. In this review, we highlight recent studies, evaluating the analytical validity and clinical utility of ctDNA as a dynamic biomarker in HNSCC, especially as it relates to risk stratification and contrasting human papilloma virus (HPV+ and HPV-) and carcinomas. RECENT FINDINGS The clinical potential of minimal residual disease monitoring through viral ctDNA in identifying HPV+ oropharyngeal carcinoma patients at higher risk of recurrence has recently been demonstrated. Furthermore, accumulating evidence supports a potential diagnostic value of ctDNA dynamics in HPV-negative HNSCC. Altogether, recent data suggest that ctDNA analysis may be a valuable tool in guiding (de)escalation of surgical interventions as well as adaptation in radiotherapy dosage, both in the definitive and adjuvant settings. SUMMARY Rigorous clinical trials with patient-relevant endpoints are critical in order to demonstrate that treatment decisions based on ctDNA dynamics result in better outcomes in HNSCC.
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Affiliation(s)
- Ingeborg Tinhofer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Radiooncology and Radiotherapy
- German Cancer Research Center (DKFZ), Heidelberg, Germany and German Cancer Consortium (DKTK) partner site Berlin, Germany
| | - Stephanie Staudte
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Radiooncology and Radiotherapy
- German Cancer Research Center (DKFZ), Heidelberg, Germany and German Cancer Consortium (DKTK) partner site Berlin, Germany
| | - Stephen George
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Radiooncology and Radiotherapy
- German Cancer Research Center (DKFZ), Heidelberg, Germany and German Cancer Consortium (DKTK) partner site Berlin, Germany
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15
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Domi E, Barchiesi R, Barbier E. Epigenetic Dysregulation in Alcohol-Associated Behaviors: Preclinical and Clinical Evidence. Curr Top Behav Neurosci 2023. [PMID: 36717533 DOI: 10.1007/7854_2022_410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Alcohol use disorder (AUD) is characterized by loss of control over intake and drinking despite harmful consequences. At a molecular level, AUD is associated with long-term neuroadaptations in key brain regions that are involved in reward processing and decision-making. Over the last decades, a great effort has been made to understand the neurobiological basis underlying AUD. Epigenetic mechanisms have emerged as an important mechanism in the regulation of long-term alcohol-induced gene expression changes. Here, we review the literature supporting a role for epigenetic processes in AUD. We particularly focused on the three most studied epigenetic mechanisms: DNA methylation, Histone modification and non-coding RNAs. Clinical studies indicate an association between AUD and DNA methylation both at the gene and global levels. Using behavioral paradigms that mimic some of the characteristics of AUD, preclinical studies demonstrate that changes in epigenetic mechanisms can functionally impact alcohol-associated behaviors. While many studies support a therapeutic potential for targeting epigenetic enzymes, more research is needed to fully understand their role in AUD. Identification of brain circuits underlying alcohol-associated behaviors has made major advances in recent years. However, there are very few studies that investigate how epigenetic mechanisms can affect these circuits or impact the neuronal ensembles that promote alcohol-associated behaviors. Studies that focus on the role of circuit-specific and cell-specific epigenetic changes for clinically relevant alcohol behaviors may provide new insights on the functional role of epigenetic processes in AUD.
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Affiliation(s)
- Esi Domi
- Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
- School of Pharmacy, Pharmacology Unit, Center for Neuroscience, University of Camerino, Camerino, Italy
| | - Riccardo Barchiesi
- Department of Neuroscience, Waggoner Center for Alcohol and Alcohol Addiction Research, University of Texas at Austin, Austin, TX, USA
| | - Estelle Barbier
- Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden.
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16
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Chow CN, Yang CW, Chang WC. Databases and prospects of dynamic gene regulation in eukaryotes: A mini review. Comput Struct Biotechnol J 2023; 21:2147-2159. [PMID: 37013004 PMCID: PMC10066511 DOI: 10.1016/j.csbj.2023.03.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 03/18/2023] [Accepted: 03/19/2023] [Indexed: 04/05/2023] Open
Abstract
In eukaryotes, dynamic regulation enables DNA polymerases to catalyze a variety of RNA products in spatial and temporal patterns. Dynamic gene expression is regulated by transcription factors (TFs) and epigenetics (DNA methylation and histone modification). The applications of biochemical technology and high-throughput sequencing enhance the understanding of mechanisms of these regulations and affected genomic regions. To provide a searchable platform for retrieving such metadata, numerous databases have been developed based on the integration of genome-wide maps (e.g., ChIP-seq, whole-genome bisulfite sequencing, RNA-seq, ATAC-seq, DNase-seq, and MNase-seq data) and functionally genomic annotation. In this mini review, we summarize the main functions of TF-related databases and outline the prevalent approaches used in inferring epigenetic regulations, their associated genes, and functions. We review the literature on crosstalk between TF and epigenetic regulation and the properties of non-coding RNA regulation, which are challenging topics that promise to pave the way for advances in database development.
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17
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Du H, Ma J, Zhou W, Li M, Huai C, Shen L, Wu H, Zhao X, Zhang N, Gao S, Wang Q, He L, Wu X, Qin S, Zhao M. Methylome-wide association study of different responses to risperidone in schizophrenia. Front Pharmacol 2022; 13:1078464. [PMID: 36618913 PMCID: PMC9815458 DOI: 10.3389/fphar.2022.1078464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
Background: Accumulating evidence shows that DNA methylation plays a role in antipsychotic response. However, the mechanisms by which DNA methylation changes are associated with antipsychotic responses remain largely unknown. Methods: We performed a methylome-wide association study (MWAS) to evaluate the association between DNA methylation and the response to risperidone in schizophrenia. Genomic DNA methylation patterns were assessed using the Agilent Human DNA Methylation Microarray. Results: We identified numerous differentially methylated positions (DMPs) and regions (DMRs) associated with antipsychotic response. CYP46A1, SPATS2, and ATP6V1E1 had the most significant DMPs, with p values of 2.50 × 10-6, 3.53 × 10-6, and 5.71 × 10-6, respectively. The top-ranked DMR was located on chromosome 7, corresponding to the PTPRN2 gene with a Šidák-corrected p-value of 9.04 × 10-13. Additionally, a significant enrichment of synaptic function and neurotransmitters was found in the differentially methylated genes after gene ontology and pathway analysis. Conclusion: The identified DMP- and DMR-overlapping genes associated with antipsychotic response are related to synaptic function and neurotransmitters. These findings may improve understanding of the mechanisms underlying antipsychotic response and guide the choice of antipsychotic in schizophrenia.
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Affiliation(s)
- Huihui Du
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Jingsong Ma
- School o f Engineering, Westlake University, Hangzhou, Zhejiang, China,Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Wei Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Mo Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Cong Huai
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Lu Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Hao Wu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Xianglong Zhao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Na Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Songyin Gao
- Zhumadian Psychiatric Hospital, Zhumadian, China
| | - Qi Wang
- Hebei Mental Health Center, Hebei Sixth People’s Hospital, Baoding, China
| | - Lin He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Xuming Wu
- Nantong Fourth People’s Hospital, Nantong, China,*Correspondence: Xuming Wu, ; Shengying Qin, ; Mingzhe Zhao,
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Xuming Wu, ; Shengying Qin, ; Mingzhe Zhao,
| | - Mingzhe Zhao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Ministry of Education, Shanghai Jiao Tong University, Shanghai, China,Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,*Correspondence: Xuming Wu, ; Shengying Qin, ; Mingzhe Zhao,
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18
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O'Neill H, Lee H, Gupta I, Rodger EJ, Chatterjee A. Single-Cell DNA Methylation Analysis in Cancer. Cancers (Basel) 2022; 14:6171. [PMID: 36551655 PMCID: PMC9777108 DOI: 10.3390/cancers14246171] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/07/2022] [Accepted: 12/10/2022] [Indexed: 12/23/2022] Open
Abstract
Morphological, transcriptomic, and genomic defects are well-explored parameters of cancer biology. In more recent years, the impact of epigenetic influences, such as DNA methylation, is becoming more appreciated. Aberrant DNA methylation has been implicated in many types of cancers, influencing cell type, state, transcriptional regulation, and genomic stability to name a few. Traditionally, large populations of cells from the tissue of interest are coalesced for analysis, producing averaged methylome data. Considering the inherent heterogeneity of cancer, analysing populations of cells as a whole denies the ability to discover novel aberrant methylation patterns, identify subpopulations, and trace cell lineages. Due to recent advancements in technology, it is now possible to obtain methylome data from single cells. This has both research and clinical implications, ranging from the identification of biomarkers to improved diagnostic tools. As with all emerging technologies, distinct experimental, bioinformatic, and practical challenges present themselves. This review begins with exploring the potential impact of single-cell sequencing on understanding cancer biology and how it could eventually benefit a clinical setting. Following this, the techniques and experimental approaches which made this technology possible are explored. Finally, the present challenges currently associated with single-cell DNA methylation sequencing are described.
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Affiliation(s)
- Hannah O'Neill
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand
| | - Heather Lee
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Ishaan Gupta
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Euan J Rodger
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand
| | - Aniruddha Chatterjee
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand
- School of Health Sciences and Technology, University of Petroleum and Energy Studies (UPES), Dehradun 248007, India
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19
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Li Y, Fu B, Zhang J, Wang G, Tian J, Li H, Xia Y, Xie J, Yu E. Comparative genome-wide methylation analysis reveals epigenetic regulation of muscle development in grass carp ( Ctenopharyngodon idellus) fed with whole faba bean. PeerJ 2022; 10:e14403. [PMID: 36438576 PMCID: PMC9686415 DOI: 10.7717/peerj.14403] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 10/26/2022] [Indexed: 11/22/2022] Open
Abstract
Crisp grass carp (CGC), the most representative improved varieties of grass carp (GC), features higher muscle hardness after feeding faba bean (Vicia faba L.) for 90-120 days. DNA methylation, a most widely studied epigenetic modification, plays an essential role in muscle development. Previous studies have identified numerous differentially expressed genes (DEGs) between CGC and GC. However, it remains unknown if the expression levels of these DEGs are influenced by DNA methylation. In the present study, we performed a comprehensive analysis of DNA methylation profiles between CGC and GC, and identified important candidate genes related to muscle development coupled with the transcriptome sequencing data. A total of 9,318 differentially methylated genes (DMGs) corresponding to 155,760 differentially methylated regions (DMRs) were identified between the two groups under the CG context in promoter regions. Combined with the transcriptome sequencing data, 14 key genes related to muscle development were identified, eight of which (gsk3b, wnt8a, wnt11, axin2, stat1, stat2, jak2, hsp90) were involved in muscle fiber hyperplasia, six of which (tgf-β1, col1a1, col1a2, col1a3, col4a1, col18a1) were associated with collagen synthesis in crisp grass carp. The difference of methylation levels in the key genes might lead to the expression difference, further resulting in the increase of muscle hardness in crisp grass carp. Overall, this study can help further understand how faba bean modulates muscle development by the epigenetic modifications, providing novel insights into the texture quality improvement in other aquaculture fish species by nutritional programming.
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20
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Kim H, Sim M, Park N, Kwon K, Kim J, Kim J. msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data. BMC Bioinformatics 2022; 23:383. [PMID: 36123620 PMCID: PMC9487059 DOI: 10.1186/s12859-022-04925-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 09/13/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND DNA methylation is an important epigenetic modification that is known to regulate gene expression. Whole-genome bisulfite sequencing (WGBS) is a powerful method for studying cytosine methylation in a whole genome. However, it is difficult to obtain methylation profiles using the WGBS raw reads and is necessary to be proficient in all types of bioinformatic tools for the study of DNA methylation. In addition, recent end-to-end pipelines for DNA methylation analyses are not sufficient for addressing those difficulties. RESULTS Here we present msPIPE, a pipeline for DNA methylation analyses with WGBS data seamlessly connecting all the required tasks ranging from data pre-processing to multiple downstream DNA methylation analyses. The msPIPE can generate various methylation profiles to analyze methylation patterns in the given sample, including statistical summaries and methylation levels. Also, the methylation levels in the functional regions of a genome are computed with proper annotation. The results of methylation profiles, hypomethylation, and differential methylation analysis are plotted in publication-quality figures. The msPIPE can be easily and conveniently used with a Docker image, which includes all dependent packages and software related to DNA methylation analyses. CONCLUSION msPIPE is a new end-to-end pipeline designed for methylation calling, profiling, and various types of downstream DNA methylation analyses, leading to the creation of publication-quality figures. msPIPE allows researchers to process and analyze the WGBS data in an easy and convenient way. It is available at https://github.com/jkimlab/msPIPE and https://hub.docker.com/r/jkimlab/mspipe .
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Affiliation(s)
- Heesun Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Mikang Sim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Nayoung Park
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Kisang Kwon
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Junyoung Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea
| | - Jaebum Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea.
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21
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Chapin N, Fernandez J, Poole J, Delatte B. Anchor-based bisulfite sequencing determines genome-wide DNA methylation. Commun Biol 2022; 5:596. [PMID: 35710818 PMCID: PMC9203462 DOI: 10.1038/s42003-022-03543-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 05/30/2022] [Indexed: 11/17/2022] Open
Abstract
Whole Genome Bisulfite Sequencing (WGBS) is the current standard for DNA methylation profiling. However, this approach is costly as it requires sequencing coverage over the entire genome. Here we introduce Anchor-Based Bisulfite Sequencing (ABBS). ABBS captures accurate DNA methylation information in Escherichia coli and mammals, while requiring up to 10 times fewer sequencing reads than WGBS. ABBS interrogates the entire genome and is not restricted to the CpG islands assayed by methods like Reduced Representation Bisulfite Sequencing (RRBS). The ABBS protocol is simple and can be performed in a single day. Anchor-Based Bisulfite Sequencing (ABBS) is a sequencing based method that enables analysis of DNA methylation states, based on specific hybridization of bisulfite-refractory methylcytosines with 8-aza-7-deaza-2-deoxyguanosine, incorporated in a primer at the end of 5 random nucleotides.
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Affiliation(s)
- Nathaniel Chapin
- Advanced Research Laboratory, Active Motif, 1914 Palomar Oaks Way STE 150, Carlsbad, CA, 92008, USA
| | - Joseph Fernandez
- Advanced Research Laboratory, Active Motif, 1914 Palomar Oaks Way STE 150, Carlsbad, CA, 92008, USA
| | - Jason Poole
- Advanced Research Laboratory, Active Motif, 1914 Palomar Oaks Way STE 150, Carlsbad, CA, 92008, USA
| | - Benjamin Delatte
- Advanced Research Laboratory, Active Motif, 1914 Palomar Oaks Way STE 150, Carlsbad, CA, 92008, USA.
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22
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Ma J, Zhang L, Huang Y, Shen F, Wu H, Yang Z, Hou R, Song Z, Yue B, Zhang X. Epigenomic profiling indicates a role for DNA methylation in the postnatal liver and pancreas development of giant pandas. Genomics 2022; 114:110342. [PMID: 35306168 DOI: 10.1016/j.ygeno.2022.110342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 02/14/2022] [Accepted: 03/13/2022] [Indexed: 01/14/2023]
Abstract
Giant pandas are unique within Carnivora with a strict bamboo diet. Here, the epigenomic profiles of giant panda liver and pancreas tissues collected from three important feeding stages were investigated using BS-seq. Few differences in DNA methylation profiles were exhibited between no feeding and suckling groups in both tissues. However, we observed a tendency toward a global loss of DNA methylation in the gene-body and promoter region of metabolism-related genes from newborn to adult. Correlation analysis revealed a significant negative correlation between the changes in methylation levels within gene promoters and gene expression. The majority of genes related to nutrition metabolism had lost DNA methylation with increased mRNA expression in adult giant pandas. The few galactose metabolism and unsaturated fatty acid metabolism related genes that were hypomethylated and highly-expressed at early stages of giant panda development may meet the nutritional requirement of this species' highly altricial neonates.
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Affiliation(s)
- Jinnan Ma
- Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, College of Life Sciences, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, Sichuan 610065, China
| | - Liang Zhang
- The Sichuan Key Laboratory for Conservation Biology of Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, 1375 Panda Road, Northern Suburb, Chengdu, Sichuan 610081, China
| | - Yan Huang
- China Conservation and Research Center for the Giant Panda, 98 Tongjiang Road, Dujiangyan, Chengdu, Sichuan 611800, China
| | - Fujun Shen
- The Sichuan Key Laboratory for Conservation Biology of Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, 1375 Panda Road, Northern Suburb, Chengdu, Sichuan 610081, China
| | - Honglin Wu
- China Conservation and Research Center for the Giant Panda, 98 Tongjiang Road, Dujiangyan, Chengdu, Sichuan 611800, China
| | - Zhisong Yang
- Sichuan Academy of Giant Panda, 1375 Panda Road, Northern Suburb, Chengdu, Sichuan 610081, China
| | - Rong Hou
- The Sichuan Key Laboratory for Conservation Biology of Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, 1375 Panda Road, Northern Suburb, Chengdu, Sichuan 610081, China
| | - Zhaobin Song
- Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, College of Life Sciences, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, Sichuan 610065, China
| | - Bisong Yue
- Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, College of Life Sciences, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, Sichuan 610065, China
| | - Xiuyue Zhang
- Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, College of Life Sciences, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, Sichuan 610065, China.
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23
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Nayan V, Singh K, Iquebal MA, Jaiswal S, Bhardwaj A, Singh C, Bhatia T, Kumar S, Singh R, Swaroop MN, Kumar R, Phulia SK, Bharadwaj A, Datta TK, Rai A, Kumar D. Genome-Wide DNA Methylation and Its Effect on Gene Expression During Subclinical Mastitis in Water Buffalo. Front Genet 2022; 13:828292. [PMID: 35368672 PMCID: PMC8965078 DOI: 10.3389/fgene.2022.828292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 01/31/2022] [Indexed: 11/20/2022] Open
Abstract
Subclinical mastitis (SCM) in buffalo is one of the most challenging paradoxes for the dairy sector with very significant milk production losses and poses an imminent danger to milch animal’s milk-producing ability. We present here the genome-wide methylation specific to SCM in water buffalo and its consequential effect on the gene expression landscape for the first time. Whole-genome DNA methylation profiles from peripheral blood lymphocytes and gene expression profiles from milk somatic cells of healthy and SCM cases were catalogued from the MeDIP-Seq and RNA-Seq data. The average methylation in healthy buffaloes was found to be higher than that in the SCM-infected buffaloes. DNA methylation was abundant in the intergenic region followed by the intronic region in both healthy control and SCM groups. A total of 3,950 differentially methylated regions (DMRs) were identified and annotated to 370 differentially methylated genes (DMGs), most of which were enriched in the promoter region. Several important pathways were activated due to hypomethylation and belonged to the Staphylococcus aureus infection, Th17 cell differentiation, and antigen processing and presentation pathways along with others of defense responses. DNA methylome was compared with transcriptome to understand the regulatory role of DNA methylation on gene expression specific to SCM in buffaloes. A total of 4,778 significant differentially expressed genes (DEGs) were extracted in response to SCM, out of which 67 DMGs were also found to be differentially expressed, suggesting that during SCM, DNA methylation could be one of the epigenetic regulatory mechanisms of gene expression. Genes like CSF2RB, LOC102408349, C3 and PZP like, and CPAMD8 were found to be downregulated in our study, which are known to be involved in the immune response to SCM. Association of DNA methylation with transposable elements, miRNAs, and lncRNAs was also studied. The present study reports a buffalo SCM web resource (BSCM2TDb) available at http://webtom.cabgrid.res.in/BSCM2TDb that catalogues all the mastitis-related information of the analyses results of this study in a single place. This will be of immense use to buffalo researchers to understand the host–pathogen interaction involving SCM, which is required in endeavors of mastitis control and management.
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Affiliation(s)
- Varij Nayan
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - Kalpana Singh
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India
| | | | - Chhama Singh
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - Tanvi Bhatia
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - Sunil Kumar
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - Rakshita Singh
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - M. N. Swaroop
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - Rajesh Kumar
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - S. K. Phulia
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | | | - T. K. Datta
- ICAR-Central Institute for Research on Buffaloes, Hisar, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India
- *Correspondence: Dinesh Kumar,
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24
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Thakur RK, Prasad P, Bhardwaj SC, Gangwar OP, Kumar S. Epigenetics of wheat-rust interaction: an update. PLANTA 2022; 255:50. [PMID: 35084577 DOI: 10.1007/s00425-022-03829-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/08/2022] [Indexed: 06/14/2023]
Abstract
The outcome of different host-pathogen interactions is influenced by both genetic and epigenetic systems, which determine the response of plants to pathogens and vice versa. This review highlights key molecular mechanisms and conceptual advances involved in epigenetic research and the progress made in epigenetics of wheat-rust interactions. Epigenetics implies the heritable changes in the way of gene expression as a consequence of the modification of DNA bases, histone proteins, and/or non-coding-RNA biogenesis without disturbing the underlying nucleotide sequence. The changes occurring between DNA and its surrounding chromatin without altering its DNA sequence and leading to significant changes in the genome of any organism are called epigenetic changes. Epigenetics has already been used successfully to explain the mechanism of human pathogens and in the identification of pathogen-induced modifications within various host plants. Wheat rusts are one of the most vital fungal diseases throughout the major wheat-growing areas of the world. The epigenome in plant pathogens causing diseases such as wheat rusts is mysterious. The investigations of host and pathogen epigenetics in the wheat rusts system can offer a piece of suitable evidence for elucidation of the molecular basis of host-pathogen interaction. Besides, the information on the epigenetic regulation of the genes involved in resistance or pathogenicity will provide better insights into the complex resistance signaling pathways and could provide answers to certain key questions, such as whether epigenetic regulation of certain genes is imparting resistance to host in response of certain pathogen elicitors or not. In the last few years, there has been an upsurge in research on the host as well as pathogen epigenetics and its outcome in plant-pathogen interactions. This review summarizes the progress made in the areas related to the epigenetic control of host-pathogen interaction with particular emphasis on wheat rusts.
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Affiliation(s)
- Rajni Kant Thakur
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India
| | - Pramod Prasad
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India.
| | - S C Bhardwaj
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India.
| | - O P Gangwar
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India
| | - Subodh Kumar
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India
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25
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Tost J. Current and Emerging Technologies for the Analysis of the Genome-Wide and Locus-Specific DNA Methylation Patterns. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1389:395-469. [DOI: 10.1007/978-3-031-11454-0_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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26
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Tellgren-Roth C, Couturier M. Detecting DNA Methylations in the Hyperthermoacidophilic Crenarchaeon Sulfolobus acidocaldarius Using SMRT Sequencing. Methods Mol Biol 2022; 2516:39-50. [PMID: 35922620 DOI: 10.1007/978-1-0716-2413-5_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
DNA methylations are one of the most well-known epigenetic modifications along with histone modifications and noncoding RNAs. They are found at specific sites along the DNA in all domains of life, with 5-mC and 6-mA/4-mC being well-characterized in eukaryotes and bacteria respectively, and they have not only been described as contributing to the structure of the double helix itself but also as regulators of DNA-based processes such as replication, transcription, and recombination. Different methods have been developed to accurately identify and/or map methylated motifs to decipher the involvement of DNA methylations in regulatory networks that affect the cellular state.Although DNA methylations have been detected along archaeal genomes, their involvement as regulators of DNA-based processes remains the least known. To highlight the importance of DNA methylations in the control of key cellular mechanisms and their dynamics in archaea cells, we have used single-molecule real-time (SMRT) sequencing. This sequencing technology allows the identification and direct mapping of the methylated motifs along the genome of an organism. In this chapter, we present a step-by-step protocol for detecting DNA methylations in the hyperthermophilic crenarchaeon Sulfolobus acidocaldarius using SMRT sequencing. This protocol can easily be adapted to other prokaryotes.
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Affiliation(s)
- Christian Tellgren-Roth
- Department of Immunology, Genetics and Pathology, National Genomics Infrastructure, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Mohea Couturier
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Research Group of Microbiology, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, Belgium.
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27
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Onodera A, Kiuchi M, Kokubo K, Nakayama T. Epigenetic regulation of inflammation by CxxC domain‐containing proteins*. Immunol Rev 2022. [DOI: 10.1111/imr.13056
expr 964170082 + 969516512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Affiliation(s)
- Atsushi Onodera
- Department of Immunology Graduate School of Medicine Chiba University Chiba Japan
- Institute for Global Prominent Research Chiba University Chiba Japan
| | - Masahiro Kiuchi
- Department of Immunology Graduate School of Medicine Chiba University Chiba Japan
| | - Kota Kokubo
- Department of Immunology Graduate School of Medicine Chiba University Chiba Japan
| | - Toshinori Nakayama
- Department of Immunology Graduate School of Medicine Chiba University Chiba Japan
- AMED‐CREST, AMED Chiba Japan
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28
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Onodera A, Kiuchi M, Kokubo K, Nakayama T. Epigenetic regulation of inflammation by CxxC domain-containing proteins. Immunol Rev 2021; 305:137-151. [PMID: 34935162 DOI: 10.1111/imr.13056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/03/2021] [Accepted: 11/12/2021] [Indexed: 12/14/2022]
Abstract
Epigenetic regulation of gene transcription in the immune system is important for proper control of protective and pathogenic inflammation. Aberrant epigenetic modifications are often associated with dysregulation of the immune cells, including lymphocytes and macrophages, leading to pathogenic inflammation and autoimmune diseases. Two classical epigenetic markers-histone modifications and DNA cytosine methylation, the latter is the 5 position of the cytosine base in the context of CpG dinucleotides-play multiple roles in the immune system. CxxC domain-containing proteins, which basically bind to the non-methylated CpG (i.e., epigenetic "readers"), often function as "writers" of the epigenetic markers via their catalytic domain within the proteins or by interacting with other epigenetic modifiers. We herein report the most recent advances in our understanding of the functions of CxxC domain-containing proteins in the immune system and inflammation, mainly focusing on T cells and macrophages.
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Affiliation(s)
- Atsushi Onodera
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan.,Institute for Global Prominent Research, Chiba University, Chiba, Japan
| | - Masahiro Kiuchi
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Kota Kokubo
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Toshinori Nakayama
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan.,AMED-CREST, AMED, Chiba, Japan
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29
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Sharma M, Verma RK, Kumar S, Kumar V. Computational challenges in detection of cancer using cell-free DNA methylation. Comput Struct Biotechnol J 2021; 20:26-39. [PMID: 34976309 PMCID: PMC8669313 DOI: 10.1016/j.csbj.2021.12.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/02/2021] [Accepted: 12/02/2021] [Indexed: 12/18/2022] Open
Abstract
Cell-free DNA(cfDNA) methylation profiling is considered promising and potentially reliable for liquid biopsy to study progress of diseases and develop reliable and consistent diagnostic and prognostic biomarkers. There are several different mechanisms responsible for the release of cfDNA in blood plasma, and henceforth it can provide information regarding dynamic changes in the human body. Due to the fragmented nature, low concentration of cfDNA, and high background noise, there are several challenges in its analysis for regular use in diagnosis of cancer. Such challenges in the analysis of the methylation profile of cfDNA are further aggravated due to heterogeneity, biomarker sensitivity, platform biases, and batch effects. This review delineates the origin of cfDNA methylation, its profiling, and associated computational problems in analysis for diagnosis. Here we also contemplate upon the multi-marker approach to handle the scenario of cancer heterogeneity and explore the utility of markers for 5hmC based cfDNA methylation pattern. Further, we provide a critical overview of deconvolution and machine learning methods for cfDNA methylation analysis. Our review of current methods reveals the potential for further improvement in analysis strategies for detecting early cancer using cfDNA methylation.
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Key Words
- Cancer heterogeneity
- Cell free DNA
- Computation
- DMP, Differentially methylated base position
- DMR, Differentially methylated regions
- Diagnosis
- HELP-seq, HpaII-tiny fragment Enrichment by Ligation-mediated PCR sequencing
- MBD-seq, Methyl-CpG Binding Domain Protein Capture Sequencing
- MCTA-seq, Methylated CpG tandems amplification and sequencing
- MSCC, Methylation Sensitive Cut Counting
- MSRE, methylation sensitive restriction enzymes
- MeDIP-seq, Methylated DNA Immunoprecipitation Sequencing
- RRBS, Reduced-Representation Bisulfite Sequencing
- WGBS, Whole Genome Bisulfite Sequencing
- cfDNA, cell free DNA
- ctDNA, circulating tumor DNA
- dPCR, digital polymerase chain reaction
- ddMCP, droplet digital methylation-specific PCR
- ddPCR, droplet digital polymerase chain reaction
- scCGI, methylated CGIs at single cell level
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Affiliation(s)
- Madhu Sharma
- Department for Computational Biology, Indraprastha Institute of Information Technology, Delhi 110020, India
| | - Rohit Kumar Verma
- Department for Computational Biology, Indraprastha Institute of Information Technology, Delhi 110020, India
| | - Sunil Kumar
- Department of Surgical oncology, All India Institute of Medical sciences, New Delhi 110029, India
| | - Vibhor Kumar
- Department for Computational Biology, Indraprastha Institute of Information Technology, Delhi 110020, India
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30
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Shen L, Lv X, Huang H, Li M, Huai C, Wu X, Wu H, Ma J, Chen L, Wang T, Tan J, Sun Y, Li L, Shi Y, Yang C, Cai L, Lu Y, Zhang Y, Weng S, Tai S, Zhang N, He L, Wan C, Qin S. Genome-wide analysis of DNA methylation in 106 schizophrenia family trios in Han Chinese. EBioMedicine 2021; 72:103609. [PMID: 34628353 PMCID: PMC8511801 DOI: 10.1016/j.ebiom.2021.103609] [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: 05/06/2021] [Revised: 09/05/2021] [Accepted: 09/17/2021] [Indexed: 12/26/2022] Open
Abstract
Background Schizophrenia (SCZ) is a severe psychiatric disorder that affects approximately 0.75% of the global population. Both genetic and environmental factors contribute to development of SCZ. SCZ tends to run in family while both genetic and environmental factor contribute to its etiology. Much evidence suggested that alterations in DNA methylations occurred in SCZ patients. Methods To investigate potential inheritable pattern of DNA methylation in SCZ family, we performed a genome-wide analysis of DNA methylation of peripheral blood samples from 106 Chinese SCZ family trios. Genome-wide DNA methylations were quantified by Agilent 1 × 244 k Human Methylation Microarray. Findings In this study, we proposed a loci inheritance frequency model that allows characterization of differential methylated regions as SCZ biomarkers. Based on this model, 112 hypermethylated and 125 hypomethylated regions were identified. Additionally, 121 hypermethylated and 139 hypomethylated genes were annotated. The results of functional enrichment analysis indicated that multiple differentially methylated genes (DMGs) involved in Notch/HH/Wnt signaling, MAPK signaling, GPCR signaling, immune response signaling. Notably, a number of hypomethylated genes were significantly enriched in cerebral cortex and functionally enriched in nervous system development. Interpretation Our findings not only validated previously discovered risk genes of SCZ but also identified novel candidate DMGs in SCZ. These results may further the understanding of altered DNA methylations in SCZ.
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Affiliation(s)
- Lu Shen
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China; Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Xiaoying Lv
- DCH Technologies Inc, Cambridge, MA 02142, USA
| | - Hailiang Huang
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences, Shanghai 200031, PR China; Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Mo Li
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Cong Huai
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Xi Wu
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Hao Wu
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Jingsong Ma
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Luan Chen
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Ting Wang
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Jie Tan
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Yidan Sun
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Lixing Li
- Department of General Surgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Shi
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Chao Yang
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Lei Cai
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Yana Lu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi 214151, China
| | - Yan Zhang
- The Second People's Hospital of Lishui, Lishui 323020, China
| | - Saizheng Weng
- Fuzhou Neuro-psychiatric hospital, Fujian Medical University, Fuzhou 350026, China
| | - Shaobin Tai
- The Second People's Hospital of Huangshan, Huangshan 245021, China
| | - Na Zhang
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Lin He
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China; Department of General Surgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
| | - Chunling Wan
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China.
| | - Shengying Qin
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, PR China.
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31
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Miga KH, Sullivan BA. Expanding studies of chromosome structure and function in the era of T2T genomics. Hum Mol Genet 2021; 30:R198-R205. [PMID: 34302168 PMCID: PMC8631062 DOI: 10.1093/hmg/ddab214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 07/16/2021] [Accepted: 07/20/2021] [Indexed: 11/13/2022] Open
Abstract
The recent accomplishment of a truly complete human genome has afforded a new view of chromosome structure and function that was limited 30 years ago. Here, we discuss the expansion of knowledge from the early cytological studies of the genome to the current high-resolution genomic, epigenetic and functional maps that have been achieved by recent technology and computational advances. These studies have revealed unexpected complexities of genome organization and function and uncovered new views of fundamental chromosomal elements. Comprehensive genomic maps will enable accurate diagnosis of human diseases caused by altered chromosome structure and function, facilitate development of chromosome-based therapies and shape the future of preventative medicine and healthcare.
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Affiliation(s)
- Karen H Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Beth A Sullivan
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
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32
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Ao C, Gao L, Yu L. Research progress in predicting DNA methylation modifications and the relation with human diseases. Curr Med Chem 2021; 29:822-836. [PMID: 34533438 DOI: 10.2174/0929867328666210917115733] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 07/05/2021] [Accepted: 07/11/2021] [Indexed: 11/22/2022]
Abstract
DNA methylation is an important mode of regulation in epigenetic mechanisms, and it is one of the research foci in the field of epigenetics. DNA methylation modification affects a series of biological processes, such as eukaryotic cell growth, differentiation and transformation mechanisms, by regulating gene expression. In this review, we systematically summarized the DNA methylation databases, prediction tools for DNA methylation modification, machine learning algorithms for predicting DNA methylation modification, and the relationship between DNA methylation modification and diseases such as hypertension, Alzheimer's disease, diabetic nephropathy, and cancer. An in-depth understanding of DNA methylation mechanisms can promote accurate prediction of DNA methylation modifications and the treatment and diagnosis of related diseases.
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Affiliation(s)
- Chunyan Ao
- School of Computer Science and Technology, Xidian University, Xi'an, China
| | - Lin Gao
- School of Computer Science and Technology, Xidian University, Xi'an, China
| | - Liang Yu
- School of Computer Science and Technology, Xidian University, Xi'an, China
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33
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Ten-eleven translocation 1 mediated-DNA hydroxymethylation is required for myelination and remyelination in the mouse brain. Nat Commun 2021; 12:5091. [PMID: 34429415 PMCID: PMC8385008 DOI: 10.1038/s41467-021-25353-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 08/05/2021] [Indexed: 11/08/2022] Open
Abstract
Ten-eleven translocation (TET) proteins, the dioxygenase for DNA hydroxymethylation, are important players in nervous system development and diseases. However, their role in myelination and remyelination after injury remains elusive. Here, we identify a genome-wide and locus-specific DNA hydroxymethylation landscape shift during differentiation of oligodendrocyte-progenitor cells (OPC). Ablation of Tet1 results in stage-dependent defects in oligodendrocyte (OL) development and myelination in the mouse brain. The mice lacking Tet1 in the oligodendrocyte lineage develop behavioral deficiency. We also show that TET1 is required for remyelination in adulthood. Transcriptomic, genomic occupancy, and 5-hydroxymethylcytosine (5hmC) profiling reveal a critical TET1-regulated epigenetic program for oligodendrocyte differentiation that includes genes associated with myelination, cell division, and calcium transport. Tet1-deficient OPCs exhibit reduced calcium activity, increasing calcium activity rescues the differentiation defects in vitro. Deletion of a TET1-5hmC target gene, Itpr2, impairs the onset of OPC differentiation. Together, our results suggest that stage-specific TET1-mediated epigenetic programming and intracellular signaling are important for proper myelination and remyelination in mice.
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34
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Lv H, Dao FY, Zhang D, Yang H, Lin H. Advances in mapping the epigenetic modifications of 5-methylcytosine (5mC), N6-methyladenine (6mA), and N4-methylcytosine (4mC). Biotechnol Bioeng 2021; 118:4204-4216. [PMID: 34370308 DOI: 10.1002/bit.27911] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 08/06/2021] [Indexed: 12/30/2022]
Abstract
DNA modification plays a pivotal role in regulating gene expression in cell development. As prevalent markers on DNA, 5-methylcytosine (5mC), N6-methyladenine (6mA), and N4-methylcytosine (4mC) can be recognized by specific methyltransferases, facilitating cellular defense and the versatile regulation of gene expression in eukaryotes and prokaryotes. Recent advances in DNA sequencing technology have permitted the positions of different modifications to be resolved at the genome-wide scale, which has led to the discovery of several novel insights into the complexity and functions of multiple methylations. In this review, we summarize differences in the various mapping approaches and discuss their pros and cons with respect to their relative read depths, speeds, and costs. We also discuss the development of future sequencing technologies and strategies for improving the detection resolution of current sequencing technologies. Lastly, we speculate on the potentially instrumental role that these sequencing technologies might play in future research.
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Affiliation(s)
- Hao Lv
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Fu-Ying Dao
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Dan Zhang
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Hui Yang
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Hao Lin
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
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Assessment of Circulating Nucleic Acids in Cancer: From Current Status to Future Perspectives and Potential Clinical Applications. Cancers (Basel) 2021; 13:cancers13143460. [PMID: 34298675 PMCID: PMC8307284 DOI: 10.3390/cancers13143460] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 02/06/2023] Open
Abstract
Current approaches for cancer detection and characterization are based on radiological procedures coupled with tissue biopsies, despite relevant limitations in terms of overall accuracy and feasibility, including relevant patients' discomfort. Liquid biopsies enable the minimally invasive collection and analysis of circulating biomarkers released from cancer cells and stroma, representing therefore a promising candidate for the substitution or integration in the current standard of care. Despite the potential, the current clinical applications of liquid biopsies are limited to a few specific purposes. The lack of standardized procedures for the pre-analytical management of body fluids samples and the detection of circulating biomarkers is one of the main factors impacting the effective advancement in the applicability of liquid biopsies to clinical practice. The aim of this work, besides depicting current methods for samples collection, storage, quality check and biomarker extraction, is to review the current techniques aimed at analyzing one of the main circulating biomarkers assessed through liquid biopsy, namely cell-free nucleic acids, with particular regard to circulating tumor DNA (ctDNA). ctDNA current and potential applications are reviewed as well.
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Acton RJ, Yuan W, Gao F, Xia Y, Bourne E, Wozniak E, Bell J, Lillycrop K, Wang J, Dennison E, Harvey NC, Mein CA, Spector TD, Hysi PG, Cooper C, Bell CG. The genomic loci of specific human tRNA genes exhibit ageing-related DNA hypermethylation. Nat Commun 2021; 12:2655. [PMID: 33976121 PMCID: PMC8113476 DOI: 10.1038/s41467-021-22639-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 03/05/2021] [Indexed: 02/03/2023] Open
Abstract
The epigenome has been shown to deteriorate with age, potentially impacting on ageing-related disease. tRNA, while arising from only ˜46 kb (<0.002% genome), is the second most abundant cellular transcript. tRNAs also control metabolic processes known to affect ageing, through core translational and additional regulatory roles. Here, we interrogate the DNA methylation state of the genomic loci of human tRNA. We identify a genomic enrichment for age-related DNA hypermethylation at tRNA loci. Analysis in 4,350 MeDIP-seq peripheral-blood DNA methylomes (16-82 years), identifies 44 and 21 hypermethylating specific tRNAs at study-and genome-wide significance, respectively, contrasting with none hypomethylating. Validation and replication (450k array and independent targeted Bisuphite-sequencing) supported the hypermethylation of this functional unit. Tissue-specificity is a significant driver, although the strongest consistent signals, also independent of major cell-type change, occur in tRNA-iMet-CAT-1-4 and tRNA-Ser-AGA-2-6. This study presents a comprehensive evaluation of the genomic DNA methylation state of human tRNA genes and reveals a discreet hypermethylation with advancing age.
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Affiliation(s)
- Richard J Acton
- William Harvey Research Institute, Barts & The London School of Medicine and Dentistry, Charterhouse Square, Queen Mary University of London, London, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Human Development and Health, Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - Wei Yuan
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital, King's College London, London, UK
- Institute of Cancer Research, Sutton, UK
| | - Fei Gao
- BGI-Shenzhen, Shenzhen, China
| | | | - Emma Bourne
- Barts & The London Genome Centre, Blizard Institute, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Eva Wozniak
- Barts & The London Genome Centre, Blizard Institute, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Jordana Bell
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital, King's College London, London, UK
| | - Karen Lillycrop
- Human Development and Health, Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - Jun Wang
- Shenzhen Digital Life Institute, Shenzhen, Guangdong, China
- iCarbonX, Zhuhai, Guangdong, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macau, China
| | - Elaine Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Charles A Mein
- Barts & The London Genome Centre, Blizard Institute, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Tim D Spector
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital, King's College London, London, UK
| | - Pirro G Hysi
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital, King's College London, London, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Christopher G Bell
- William Harvey Research Institute, Barts & The London School of Medicine and Dentistry, Charterhouse Square, Queen Mary University of London, London, UK.
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Garcia-Manteiga JM, Clarelli F, Bonfiglio S, Mascia E, Giannese F, Barbiera G, Guaschino C, Sorosina M, Santoro S, Protti A, Martinelli V, Cittaro D, Lazarevic D, Stupka E, Filippi M, Esposito F, Martinelli-Boneschi F. Identification of differential DNA methylation associated with multiple sclerosis: A family-based study. J Neuroimmunol 2021; 356:577600. [PMID: 33991750 DOI: 10.1016/j.jneuroim.2021.577600] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/20/2021] [Accepted: 04/27/2021] [Indexed: 02/07/2023]
Abstract
Multiple Sclerosis (MS) is caused by a still unknown interplay between genetic and environmental factors. Epigenetics, including DNA methylation, represents a model for environmental factors to influence MS risk. Twenty-six affected and 26 unaffected relatives from 8 MS multiplex families were analysed in a multicentric Italian study using MeDIP-Seq, followed by technical validation and biological replication in two additional families of differentially methylated regions (DMRs) using SeqCap Epi Choice Enrichment kit (Roche®). Associations from MeDIP-Seq across families were combined with aggregation statistics, yielding 162 DMRs at FDR ≤ 0.1. Technical validation and biological replication led to 2 hypo-methylated regions, which point to NTM and BAI3 genes, and to 2 hyper-methylated regions in PIK3R1 and CAPN13. These 4 novel regions contain genes of potential interest that need to be tested in larger cohorts of patients.
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Affiliation(s)
- J M Garcia-Manteiga
- Centre for Omics Sciences, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - F Clarelli
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Italy
| | - S Bonfiglio
- Centre for Omics Sciences, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - E Mascia
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Italy
| | - F Giannese
- Centre for Omics Sciences, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - G Barbiera
- Centre for Omics Sciences, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - C Guaschino
- Department of Neurology, Sant'Antonio Abate Hospital, Gallarate, Italy
| | - M Sorosina
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Italy
| | - S Santoro
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Italy
| | - A Protti
- Ospedale Niguarda, Department of Neurology, Milan, Italy
| | - V Martinelli
- Neurology Unit, San Raffaele Scientific Institute, Via Olgettina 48, 20132 Milan, Italy
| | - D Cittaro
- Centre for Omics Sciences, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - D Lazarevic
- Centre for Omics Sciences, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - E Stupka
- Centre for Omics Sciences, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - M Filippi
- Neurology Unit, San Raffaele Scientific Institute, Via Olgettina 48, 20132 Milan, Italy; Vita-Salute San Raffaele University, Via Olgettina 48, 20132 Milan, Italy; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 48, 20132 Milan, Italy; Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, San Raffaele Scientific Institute, Via Olgettina 48, 20132 Milan, Italy
| | - F Esposito
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Italy; Neurology Unit, San Raffaele Scientific Institute, Via Olgettina 48, 20132 Milan, Italy
| | - F Martinelli-Boneschi
- Laboratory of Human Genetics of Neurological Disorders, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Italy; Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, Neuroscience Section, University of Milan, Via Francesco Sforza 35, 20122 Milan, Italy; Neurology Unit and MS Centre, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122 Milan, Italy.
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Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model. Int J Mol Sci 2021; 22:ijms22052679. [PMID: 33800945 PMCID: PMC7961483 DOI: 10.3390/ijms22052679] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/01/2021] [Accepted: 03/04/2021] [Indexed: 12/20/2022] Open
Abstract
A combined Genotyping By Sequencing (GBS) and methylated DNA immunoprecipitation (MeDIP) protocol was used to identify—in parallel—genetic variation (Genomic-Wide Association Studies (GWAS) and epigenetic differences of Differentially Methylated Regions (DMR) in the genome of spermatozoa from the porcine animal model. Breeding boars with good semen quality (n = 11) and specific and well-documented differences in fertility (farrowing rate, FR) and prolificacy (litter size, LS) (n = 7) in artificial insemination programs, using combined FR and LS, were categorized as High Fertile (HF, n = 4) or Low Fertile (LF, n = 3), and boars with Unknown Fertility (UF, n = 4) were tested for eventual epigenetical similarity with those fertility-proven. We identified 165,944 Single Nucleotide Polymorphisms (SNPs) that explained 14–15% of variance among selection lines. Between HF and LF individuals (n = 7, 4 HF and 3 LF), we identified 169 SNPs with p ≤ 0.00015, which explained 58% of the variance. For the epigenetic analyses, we considered fertility and period of ejaculate collection (late-summer and mid-autumn). Approximately three times more DMRs were observed in HF than in LF boars across these periods. Interestingly, UF boars were clearly clustered with one of the other HF or LF groups. The highest differences in DMRs between HF and LF experimental groups across the pig genome were located in the chr 3, 9, 13, and 16, with most DMRs being hypermethylated in LF boars. In both HF and LF boars, DMRs were mostly hypermethylated in late-summer compared to mid-autumn. Three overlaps were detected between SNPs (p ≤ 0.0005, n = 1318) and CpG sites within DMRs. In conclusion, fertility levels in breeding males including FR and LS can be discerned using methylome analyses. The findings in this biomedical animal model ought to be applied besides sire selection for andrological diagnosis of idiopathic sub/infertility.
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Chenarani N, Emamjomeh A, Allahverdi A, Mirmostafa S, Afsharinia MH, Zahiri J. Bioinformatic tools for DNA methylation and histone modification: A survey. Genomics 2021; 113:1098-1113. [PMID: 33677056 DOI: 10.1016/j.ygeno.2021.03.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 10/10/2020] [Accepted: 03/02/2021] [Indexed: 01/19/2023]
Abstract
Epigenetic inheritance occurs due to different mechanisms such as chromatin and histone modifications, DNA methylation and processes mediated by non-coding RNAs. It leads to changes in gene expressions and the emergence of new traits in different organisms in many diseases such as cancer. Recent advances in experimental methods led to the identification of epigenetic target sites in various organisms. Computational approaches have enabled us to analyze mass data produced by these methods. Next-generation sequencing (NGS) methods have been broadly used to identify these target sites and their patterns. By using these patterns, the emergence of diseases could be prognosticated. In this study, target site prediction tools for two major epigenetic mechanisms comprising histone modification and DNA methylation are reviewed. Publicly accessible databases are reviewed as well. Some suggestions regarding the state-of-the-art methods and databases have been made, including examining patterns of epigenetic changes that are important in epigenotypes detection.
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Affiliation(s)
- Nasibeh Chenarani
- Department of Plant Breeding and Biotechnology (PBB), Faculty of Agriculture, University of Zabol, Zabol, Iran
| | - Abbasali Emamjomeh
- Department of Plant Breeding and Biotechnology (PBB), Faculty of Agriculture, University of Zabol, Zabol, Iran; Laboratory of Computational Biotechnology and Bioinformatics (CBB), Department of Bioinformatics, Faculty of Basic Sciences, University of Zabol, Zabol, Iran.
| | - Abdollah Allahverdi
- Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - SeyedAli Mirmostafa
- Bioinformatics and Computational Omics Lab (BioCOOL), Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mohammad Hossein Afsharinia
- Bioinformatics and Computational Omics Lab (BioCOOL), Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Javad Zahiri
- Bioinformatics and Computational Omics Lab (BioCOOL), Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran; Department of Neuroscience, University of California, San Diego, USA.
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40
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Dickson PE, Mittleman G. Environmental enrichment influences novelty reactivity, novelty preference, and anxiety via distinct genetic mechanisms in C57BL/6J and DBA/2J mice. Sci Rep 2021; 11:3928. [PMID: 33594184 PMCID: PMC7887236 DOI: 10.1038/s41598-021-83574-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 02/04/2021] [Indexed: 11/18/2022] Open
Abstract
Environmental factors such as stress drive the development of drug addiction in genetically vulnerable individuals; the genes underlying this vulnerability are unknown. One strategy for uncovering these genes is to study the impact of environmental manipulation on high-throughput phenotypes that predict drug use and addiction-like behaviors. In the present study, we assessed the viability of this approach by evaluating the relative effects of environmental enrichment and isolation housing on three high-throughput phenotypes known to predict variation on distinct aspects of intravenous drug self-administration. Prior to behavioral testing, male and female C57BL/6J and DBA/2J mice (BXD founders) were housed in enrichment or isolation for ten weeks beginning at weaning. Enrichment significantly reduced novelty reactivity; this effect was significantly more robust in C57BL/6J mice relative to DBA/2J mice. Enrichment significantly reduced novelty preference; this effect was significantly dependent on novel environment characteristics and was significantly more robust in DBA/2J mice relative to C57BL/6J mice. Enrichment significantly increased anxiety; this effect was not strain-dependent. Collectively, these data indicate that (1) environmental enrichment influences novelty reactivity, novelty preference, and anxiety via distinct genetic mechanisms in mice, and (2) the BXD panel can be used to discover the genetic and epigenetic mechanisms underlying this phenomenon.
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Affiliation(s)
- Price E Dickson
- Department of Psychology, University of Memphis, 400 Innovation Drive, Memphis, TN, 38111, USA.
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave., Huntington, WV, 25703, USA.
| | - Guy Mittleman
- Department of Psychology, University of Memphis, 400 Innovation Drive, Memphis, TN, 38111, USA
- Department of Psychological Science, Ball State University, North Quad (NQ), room 104, Muncie, IN, 47306, USA
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41
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Li Y, Du Z, Xie X, Zhang Y, Liu H, Zhou Z, Zhao J, Lee RS, Xiao Y, Ivanoviski S, Yan F. Epigenetic changes caused by diabetes and their potential role in the development of periodontitis. J Diabetes Investig 2021; 12:1326-1335. [PMID: 33300305 PMCID: PMC8354491 DOI: 10.1111/jdi.13477] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 11/11/2020] [Accepted: 12/06/2020] [Indexed: 12/11/2022] Open
Abstract
Aims/Introduction Periodontal disease, a chronic inflammation induced by bacteria, is closely linked with diabetes mellitus. Many complications associated with diabetes are related to epigenetic changes. However, the exact epigenetic changes whereby diabetes affects periodontal disease remain largely unknown. Thus, we sought to investigate the role of diabetes‐dependent epigenetic changes of gingival tissue in the susceptibility to periodontal disease. Materials and Methods We studied the effect of streptozotocin‐induced diabetes in minipigs on gingival morphological and epigenetic tissue changes. Accordingly, we randomly divided six minipigs into two groups: streptozotocin‐induced diabetes group, n = 3; and non‐diabetes healthy control group, n = 3. After 85 days, all animals were killed, and gingival tissue was collected for histology, deoxyribonucleic acid methylation analysis and immunohistochemistry. Results A diabetes mellitus model was successfully created, as evidenced by significantly increased blood glucose levels, reduction of pancreatic insulin‐producing β‐cells and histopathological changes in the kidneys. The gingival tissues in the diabetes group presented acanthosis of both gingival squamous epithelium and sulcular/junctional epithelium, and a significant reduction in the number and length of rete pegs. Deoxyribonucleic acid methylation analysis showed a total of 1,163 affected genes, of which 599 and 564 were significantly hypermethylated and hypomethylated, respectively. Immunohistochemistry staining showed that the hypomethylated genes – tumor necrosis factor‐α and interleukin‐6 – were positively expressed under the junctional epithelium area in the diabetes group. Conclusions Diabetes mellitus induces morphological and epigenetic changes in periodontal tissue, which might contribute to the increased susceptibility of periodontal diseases in patients with diabetes.
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Affiliation(s)
- Yanfen Li
- Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Zhibin Du
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Xiaoting Xie
- Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yangheng Zhang
- Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Huifen Liu
- Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Ziqian Zhou
- Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jing Zhao
- Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Ryan Sb Lee
- School of Dentistry, The University of Queensland, Brisbane, Queensland, Australia
| | - Yin Xiao
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.,Australia-China Center for Tissue Engineering and Regenerative Medicine, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Saso Ivanoviski
- School of Dentistry, The University of Queensland, Brisbane, Queensland, Australia
| | - Fuhua Yan
- Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China.,Australia-China Center for Tissue Engineering and Regenerative Medicine, Queensland University of Technology, Brisbane, Queensland, Australia
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García-García I, Méndez-Cea B, Martín-Gálvez D, Seco JI, Gallego FJ, Linares JC. Challenges and Perspectives in the Epigenetics of Climate Change-Induced Forests Decline. FRONTIERS IN PLANT SCIENCE 2021; 12:797958. [PMID: 35058957 PMCID: PMC8764141 DOI: 10.3389/fpls.2021.797958] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/13/2021] [Indexed: 05/14/2023]
Abstract
Forest tree species are highly vulnerable to the effects of climate change. As sessile organisms with long generation times, their adaptation to a local changing environment may rely on epigenetic modifications when allele frequencies are not able to shift fast enough. However, the current lack of knowledge on this field is remarkable, due to many challenges that researchers face when studying this issue. Huge genome sizes, absence of reference genomes and annotation, and having to analyze huge amounts of data are among these difficulties, which limit the current ability to understand how climate change drives tree species epigenetic modifications. In spite of this challenging framework, some insights on the relationships among climate change-induced stress and epigenomics are coming. Advances in DNA sequencing technologies and an increasing number of studies dealing with this topic must boost our knowledge on tree adaptive capacity to changing environmental conditions. Here, we discuss challenges and perspectives in the epigenetics of climate change-induced forests decline, aiming to provide a general overview of the state of the art.
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Affiliation(s)
- Isabel García-García
- Departamento de Genética, Fisiología y Microbiología, UD Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, Madrid, Spain
- *Correspondence: Isabel García-García,
| | - Belén Méndez-Cea
- Departamento de Genética, Fisiología y Microbiología, UD Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, Madrid, Spain
- Belén Méndez-Cea,
| | - David Martín-Gálvez
- Departamento de Biodiversidad, Ecología y Evolución, UD Zoología, Facultad de CC Biológicas, Universidad Complutense de Madrid, Madrid, Spain
| | - José Ignacio Seco
- Departamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, Seville, Spain
| | - Francisco Javier Gallego
- Departamento de Genética, Fisiología y Microbiología, UD Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, Madrid, Spain
| | - Juan Carlos Linares
- Departamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, Seville, Spain
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Galardi F, De Luca F, Romagnoli D, Biagioni C, Moretti E, Biganzoli L, Di Leo A, Migliaccio I, Malorni L, Benelli M. Cell-Free DNA-Methylation-Based Methods and Applications in Oncology. Biomolecules 2020; 10:E1677. [PMID: 33334040 PMCID: PMC7765488 DOI: 10.3390/biom10121677] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/07/2020] [Accepted: 12/14/2020] [Indexed: 12/11/2022] Open
Abstract
Liquid biopsy based on cell-free DNA (cfDNA) enables non-invasive dynamic assessment of disease status in patients with cancer, both in the early and advanced settings. The analysis of DNA-methylation (DNAm) from cfDNA samples holds great promise due to the intrinsic characteristics of DNAm being more prevalent, pervasive, and cell- and tumor-type specific than genomics, for which established cfDNA assays already exist. Herein, we report on recent advances on experimental strategies for the analysis of DNAm in cfDNA samples. We describe the main steps of DNAm-based analysis workflows, including pre-analytics of cfDNA samples, DNA treatment, assays for DNAm evaluation, and methods for data analysis. We report on protocols, biomolecular techniques, and computational strategies enabling DNAm evaluation in the context of cfDNA analysis, along with practical considerations on input sample requirements and costs. We provide an overview on existing studies exploiting cell-free DNAm biomarkers for the detection and monitoring of cancer in early and advanced settings, for the evaluation of drug resistance, and for the identification of the cell-of-origin of tumors. Finally, we report on DNAm-based tests approved for clinical use and summarize their performance in the context of liquid biopsy.
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Affiliation(s)
- Francesca Galardi
- «Sandro Pitigliani» Translational Research Unit, Hospital of Prato, 59100 Prato, Italy; (F.G.); (F.D.L.); (I.M.); (L.M.)
| | - Francesca De Luca
- «Sandro Pitigliani» Translational Research Unit, Hospital of Prato, 59100 Prato, Italy; (F.G.); (F.D.L.); (I.M.); (L.M.)
| | - Dario Romagnoli
- Bioinformatics Unit, Hospital of Prato, 59100 Prato, Italy; (D.R.); (C.B.)
| | - Chiara Biagioni
- Bioinformatics Unit, Hospital of Prato, 59100 Prato, Italy; (D.R.); (C.B.)
- «Sandro Pitigliani» Medical Oncology Department, Hospital of Prato, 59100 Prato, Italy; (E.M.); (L.B.); (A.D.L.)
| | - Erica Moretti
- «Sandro Pitigliani» Medical Oncology Department, Hospital of Prato, 59100 Prato, Italy; (E.M.); (L.B.); (A.D.L.)
| | - Laura Biganzoli
- «Sandro Pitigliani» Medical Oncology Department, Hospital of Prato, 59100 Prato, Italy; (E.M.); (L.B.); (A.D.L.)
| | - Angelo Di Leo
- «Sandro Pitigliani» Medical Oncology Department, Hospital of Prato, 59100 Prato, Italy; (E.M.); (L.B.); (A.D.L.)
| | - Ilenia Migliaccio
- «Sandro Pitigliani» Translational Research Unit, Hospital of Prato, 59100 Prato, Italy; (F.G.); (F.D.L.); (I.M.); (L.M.)
| | - Luca Malorni
- «Sandro Pitigliani» Translational Research Unit, Hospital of Prato, 59100 Prato, Italy; (F.G.); (F.D.L.); (I.M.); (L.M.)
- «Sandro Pitigliani» Medical Oncology Department, Hospital of Prato, 59100 Prato, Italy; (E.M.); (L.B.); (A.D.L.)
| | - Matteo Benelli
- Bioinformatics Unit, Hospital of Prato, 59100 Prato, Italy; (D.R.); (C.B.)
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Cattaneo A, Suderman M, Cattane N, Mazzelli M, Begni V, Maj C, D'Aprile I, Pariante CM, Luoni A, Berry A, Wurst K, Hommers L, Domschke K, Cirulli F, Szyf M, Menke A, Riva MA. Long-term effects of stress early in life on microRNA-30a and its network: Preventive effects of lurasidone and potential implications for depression vulnerability. Neurobiol Stress 2020; 13:100271. [PMID: 33344724 PMCID: PMC7739180 DOI: 10.1016/j.ynstr.2020.100271] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 11/05/2020] [Accepted: 11/16/2020] [Indexed: 02/07/2023] Open
Abstract
Exposure to early life stress can interfere with neurodevelopmental trajectories to increase the vulnerability for psychiatric disorders later in life. With this respect, epigenetic mechanisms play a key role for the long-lasting changes in brain functions that may elicit and sustain psychopathologic outcomes. Here, we investigated DNA methylation changes as possible epigenetic mechanism mediating the effect of prenatal stress (PNS), an experimental paradigm associated with behavioral and molecular alterations relevant for psychiatric disorders. We identified 138 genes as being differentially methylated in the prefrontal cortex (PFC) and in the hippocampus (HIP) of male and female adult rats exposed to PNS. Among these genes, miR-30a and Neurod1 emerged as potential players for the negative outcomes associated with PNS exposure. Indeed, in addition to showing consistent methylation differences in both brain regions and in both sexes, and interacting with each other, they are both involved in Axon guidance and Neurotrophin signaling, which are important to neurodevelopmental disorders. We also found a significant reduction in the expression of a panel of genes (CAMK2A, c-JUN, LIMK1, MAP2K1, MAP2K2, PIK3CA and PLCG1) that belong to these two biological pathways and are also validated targets of miR-30a, pointing to a down-regulation of these pathways as a consequence of PNS exposure. Interestingly, we also found that miR-30a levels were significantly upregulated in depressed patients exposed to childhood trauma, as compared to control individuals. Importantly, we also found that a sub-chronic treatment with the atypical antipsychotic drug, lurasidone, during adolescence was able to prevent the up-regulation of miR-30a and normalized the expression of its target genes in response to PNS exposure. Our results demonstrate that miR-30a undergoes epigenetic changes following early life stress exposure and suggest that this miRNA could play a key role in producing broad and long-lasting alterations in neuroplasticity-related pathways, contributing to the etiology of psychiatric disorders. MiR-30a and Neurod1 undergo epigenetic changes following PNS exposure. MiR-30 and Neurod1 are involved in Axon guidance and Neurotrophin signaling, two important pathways for neurodevelopment. We found lower expression levels of a panel of genes targeted by miR-30a. MiR-30a was significantly up-regulated in depressed patients exposed to childhood trauma. A chronic treatment with lurasidone during adolescence prevented the up-regulation of miR-30a following PNS exposure.
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Affiliation(s)
- Annamaria Cattaneo
- Department of Pharmacological and Biomolecular Sciences, University of Milan, via Balzaretti 9, 20133, Milan, Italy.,Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, BSB 1TH, UK
| | - Nadia Cattane
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Monica Mazzelli
- Department of Pharmacological and Biomolecular Sciences, University of Milan, via Balzaretti 9, 20133, Milan, Italy.,Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Veronica Begni
- Department of Pharmacological and Biomolecular Sciences, University of Milan, via Balzaretti 9, 20133, Milan, Italy
| | - Carlo Maj
- Institute for Genomic Statistics and Bioinformatics, University Hospital, Bonn, Germany
| | - Ilari D'Aprile
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Carmine M Pariante
- Stress, Psychiatry and Immunology Laboratory, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Alessia Luoni
- Department of Pharmacological and Biomolecular Sciences, University of Milan, via Balzaretti 9, 20133, Milan, Italy
| | - Alessandra Berry
- Section of Behavioural Neurosciences, Department of Cell Biology and Neurosciences, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy
| | - Katharina Wurst
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Würzburg, Germany
| | - Leif Hommers
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Würzburg, Germany.,Interdisciplinary Center for Clinical Research, University Hospital of Würzburg, Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center for Basics in Neuromodulation, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Francesca Cirulli
- Section of Behavioural Neurosciences, Department of Cell Biology and Neurosciences, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy
| | - Moshe Szyf
- Department of Pharmacology and Therapeutics, McGill University, 3655 Sir William Osler Promenade #1311, Montreal, Quebec, Canada, H3G 1Y6
| | - Andreas Menke
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Würzburg, Germany.,Interdisciplinary Center for Clinical Research, University Hospital of Würzburg, Germany.,Center for Basics in Neuromodulation, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marco A Riva
- Department of Pharmacological and Biomolecular Sciences, University of Milan, via Balzaretti 9, 20133, Milan, Italy
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45
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Li S, Tollefsbol TO. DNA methylation methods: Global DNA methylation and methylomic analyses. Methods 2020; 187:28-43. [PMID: 33039572 DOI: 10.1016/j.ymeth.2020.10.002] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 10/02/2020] [Accepted: 10/05/2020] [Indexed: 12/13/2022] Open
Abstract
DNA methylation provides a pivotal layer of epigenetic regulation in eukaryotes that has significant involvement for numerous biological processes in health and disease. The function of methylation of cytosine bases in DNA was originally proposed as a "silencing" epigenetic marker and focused on promoter regions of genes for decades. Improved technologies and accumulating studies have been extending our understanding of the roles of DNA methylation to various genomic contexts including gene bodies, repeat sequences and transcriptional start sites. The demand for comprehensively describing DNA methylation patterns spawns a diversity of DNA methylation profiling technologies that target its genomic distribution. These approaches have enabled the measurement of cytosine methylation from specific loci at restricted regions to single-base-pair resolution on a genome-scale level. In this review, we discuss the different DNA methylation analysis technologies primarily based on the initial treatments of DNA samples: bisulfite conversion, endonuclease digestion and affinity enrichment, involving methodology evolution, principles, applications, and their relative merits. This review may offer referable information for the selection of various platforms for genome-wide analysis of DNA methylation.
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Affiliation(s)
- Shizhao Li
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
| | - Trygve O Tollefsbol
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, United States; Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, United States; Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, United States; Comprehensive Center for Healthy Aging, University of Alabama at Birmingham, Birmingham, AL, United States; Comprehensive Diabetes Center, University of Alabama at Birmingham, Birmingham, AL, United States.
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46
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Klobučar T, Kreibich E, Krueger F, Arez M, Pólvora-Brandão D, von Meyenn F, da Rocha ST, Eckersley-Maslin M. IMPLICON: an ultra-deep sequencing method to uncover DNA methylation at imprinted regions. Nucleic Acids Res 2020; 48:e92. [PMID: 32621604 PMCID: PMC7498334 DOI: 10.1093/nar/gkaa567] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 06/16/2020] [Accepted: 07/02/2020] [Indexed: 12/19/2022] Open
Abstract
Genomic imprinting is an epigenetic phenomenon leading to parental allele-specific expression. Dosage of imprinted genes is crucial for normal development and its dysregulation accounts for several human disorders. This unusual expression pattern is mostly dictated by differences in DNA methylation between parental alleles at specific regulatory elements known as imprinting control regions (ICRs). Although several approaches can be used for methylation inspection, we lack an easy and cost-effective method to simultaneously measure DNA methylation at multiple imprinted regions. Here, we present IMPLICON, a high-throughput method measuring DNA methylation levels at imprinted regions with base-pair resolution and over 1000-fold coverage. We adapted amplicon bisulfite-sequencing protocols to design IMPLICON for ICRs in adult tissues of inbred mice, validating it in hybrid mice from reciprocal crosses for which we could discriminate methylation profiles in the two parental alleles. Lastly, we developed a human version of IMPLICON and detected imprinting errors in embryonic and induced pluripotent stem cells. We also provide rules and guidelines to adapt this method for investigating the DNA methylation landscape of any set of genomic regions. In summary, IMPLICON is a rapid, cost-effective and scalable method, which could become the gold standard in both imprinting research and diagnostics.
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Affiliation(s)
- Tajda Klobučar
- Instituto de Medicina Molecular, João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Elisa Kreibich
- Epigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK
| | - Felix Krueger
- Bioinformatics Group, Babraham Institute, Cambridge CB22 3AT, UK
| | - Maria Arez
- Instituto de Medicina Molecular, João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Duarte Pólvora-Brandão
- Instituto de Medicina Molecular, João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | | | - Simão Teixeira da Rocha
- Instituto de Medicina Molecular, João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
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47
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Solomon WL, Hector SBE, Raghubeer S, Erasmus RT, Kengne AP, Matsha TE. Genome-Wide DNA Methylation and LncRNA-Associated DNA Methylation in Metformin-Treated and -Untreated Diabetes. EPIGENOMES 2020; 4:epigenomes4030019. [PMID: 34968291 PMCID: PMC8594715 DOI: 10.3390/epigenomes4030019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 08/03/2020] [Accepted: 08/14/2020] [Indexed: 02/06/2023] Open
Abstract
Metformin, which is used as a first line treatment for type 2 diabetes mellitus (T2DM), has been shown to affect epigenetic patterns. In this study, we investigated the DNA methylation and potential lncRNA modifications in metformin-treated and newly diagnosed adults with T2DM. Genome-wide DNA methylation and lncRNA analysis were performed from the peripheral blood of 12 screen-detected and 12 metformin-treated T2DM individuals followed by gene ontology (GO) and KEGG pathway analysis. Differentially methylated regions (DMRs) observed showed 22 hypermethylated and 11 hypomethylated DMRs between individuals on metformin compared to screen-detected subjects. Amongst the hypomethylated DMR regions were the SLC gene family, specifically, SLC25A35 and SLC28A1. Fifty-seven lncRNA-associated DNA methylation regions included the mitochondrial ATP synthase-coupling factor 6 (ATP5J). Functional gene mapping and pathway analysis identified regions in the axon initial segment (AIS), node of Ranvier, cell periphery, cleavage furrow, cell surface furrow, and stress fiber. In conclusion, our study has identified a number of DMRs and lncRNA-associated DNA methylation regions in metformin-treated T2DM that are potential targets for therapeutic monitoring in patients with diabetes.
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Affiliation(s)
- Wendy L. Solomon
- SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, P.O. Box 1906, Bellville, Cape Town 7530, South Africa; (W.L.S.); (S.B.E.H.); (S.R.)
| | - Stanton B. E. Hector
- SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, P.O. Box 1906, Bellville, Cape Town 7530, South Africa; (W.L.S.); (S.B.E.H.); (S.R.)
| | - Shanel Raghubeer
- SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, P.O. Box 1906, Bellville, Cape Town 7530, South Africa; (W.L.S.); (S.B.E.H.); (S.R.)
| | - Rajiv T. Erasmus
- Division of Chemical Pathology, Faculty of Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town 7505, South Africa;
| | - Andre P. Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town 7505, South Africa;
- Department of Medicine, University of Cape Town, Cape Town 7700, South Africa
| | - Tandi E. Matsha
- SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, P.O. Box 1906, Bellville, Cape Town 7530, South Africa; (W.L.S.); (S.B.E.H.); (S.R.)
- Correspondence: ; Tel.: +27-21-959-6366; Fax: +27-21-959-6760
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48
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Fu L, Peng Q, Chai L. Predicting DNA Methylation States with Hybrid Information Based Deep-Learning Model. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2020; 17:1721-1728. [PMID: 30951477 DOI: 10.1109/tcbb.2019.2909237] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
DNA methylation plays an important role in the regulation of some biological processes. Up to now, with the development of machine learning models, there are several sequence-based deep learning models designed to predict DNA methylation states, which gain better performance than traditional methods like random forest and SVM. However, convolutional network based deep learning models that use one-hot encoding DNA sequence as input may discover limited information and cause unsatisfactory prediction performance, so more data and model structures of diverse angles should be considered. In this work, we proposed a hybrid sequence-based deep learning model with both MeDIP-seq data and Histone information to predict DNA methylated CpG states (MHCpG). We combined both MeDIP-seq data and histone modification data with sequence information and implemented convolutional network to discover sequence patterns. In addition, we used statistical data gained from previous three input data and adopted a 3-layer feedforward neuron network to extract more high-level features. We compared our method with traditional predicting methods using random forest and other previous methods like CpGenie and DeepCpG, the result showed that MHCpG exceeded the other approaches and gained more satisfactory performance.
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49
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Zhang L, Xiao X, Xu ZC. iPromoter-5mC: A Novel Fusion Decision Predictor for the Identification of 5-Methylcytosine Sites in Genome-Wide DNA Promoters. Front Cell Dev Biol 2020; 8:614. [PMID: 32850787 PMCID: PMC7399635 DOI: 10.3389/fcell.2020.00614] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 06/22/2020] [Indexed: 11/29/2022] Open
Abstract
The hypomethylation of the whole cancer genome and the hypermethylation of the promoter of specific tumor suppressor genes are the important reasons for the rapid proliferation of cancer cells. Therefore, obtaining the distribution of 5-methylcytosine (5mC) in promoters is a key step to further understand the relationship between promoter methylation and mRNA gene expression regulation. Large-scale detection of DNA 5mC through wet experiments is still time-consuming and laborious. Therefore, it is urgent to design a method for identifying the 5mC site of genome-wide DNA promoters. Based on promoter methylation data of the small cell lung cancer (SCLC) from the database named cancer cell line Encyclopedia (CCLE), we built a fusion decision predictor called iPromoter-5mC for identifying methylation modification sites in promoters using deep neural network (DNN). One-Hot Encoding (One-hot) was used to encode the promoter samples for the classification. The method achieves average AUC of 0.957 on the independent testing dataset, indicating that our predictor is robust and reliable. A user-friendly web-server called iPromoter-5mC could be freely accessible at http://www.jci-bioinfo.cn/iPromoter-5mC, which will provide simple and effective means for users to study promoter 5mC modification. The source code of the proposed methods is freely available for academic research at https://github.com/zlwuxi/iPromoter-5mC.
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Affiliation(s)
- Lei Zhang
- Computer Department, Jing-De-Zhen Ceramic Institute, Jingdezhen, China
| | - Xuan Xiao
- Computer Department, Jing-De-Zhen Ceramic Institute, Jingdezhen, China
| | - Zhao-Chun Xu
- Computer Department, Jing-De-Zhen Ceramic Institute, Jingdezhen, China
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50
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Zhao C, Ji G, Carrillo JA, Li Y, Tian F, Baldwin RL, Zan L, Song J. The Profiling of DNA Methylation and Its Regulation on Divergent Tenderness in Angus Beef Cattle. Front Genet 2020; 11:939. [PMID: 33005170 PMCID: PMC7479246 DOI: 10.3389/fgene.2020.00939] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 07/28/2020] [Indexed: 01/18/2023] Open
Abstract
Beef is an essential food source in the world. Beef quality, especially tenderness, has a significant impact on consumer satisfaction and industry profit. Many types of research to date have focused on the exploration of physiological and developmental mechanisms of beef tenderness. Still, the role and impact of DNA methylation status on beef tenderness have yet to be elucidated. In this study, we exhaustively analyzed the DNA methylation status in divergent tenderness observed in Angus beef. We characterized the methylation profiles related to beef tenderness and explored methylation distributions on the whole genome. As a result, differentially methylated regions (DMRs) associated with tenderness and toughness of beef were identified. Importantly, we annotated these DMRs on the bovine genome and explored bio-pathways of underlying genes and methylation biomarkers in beef quality. Specifically, we observed that the ATP binding cassette subfamily and myosin-related genes were highly methylated gene sets, and generation of neurons, regulation of GTPase activity, ion transport and anion transport, etc., were the significant pathways related with beef tenderness. Moreover, we explored the relationship between DNA methylation and gene expression in DMRs. Some methylated genes were identified as candidate biomarkers for beef tenderness. These results provide not only novel epigenetic information associated with beef quality but offer more significant insights into meat science, which will further help us explore the mechanism of muscle biology.
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Affiliation(s)
- Chunping Zhao
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China.,Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
| | - Guanyu Ji
- Shenzhen GenDo Health Sci&Tech Ltd., Shenzhen, China
| | - José A Carrillo
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
| | - Yaokun Li
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China.,Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
| | - Fei Tian
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
| | - Ransom L Baldwin
- Animal Genomics and Improvement Laboratory, BARC, NEA, USDA, Beltsville, MD, United States
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Jiuzhou Song
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
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