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Dhanasiri AK, Siciliani D, Kortner TM, Krogdahl Å. Epigenetic changes in pyloric caeca of Atlantic salmon fed diets containing increasing levels of lipids and choline. Epigenetics 2024; 19:2305079. [PMID: 38281164 PMCID: PMC10824149 DOI: 10.1080/15592294.2024.2305079] [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: 09/28/2023] [Accepted: 01/09/2024] [Indexed: 01/30/2024] Open
Abstract
An earlier study of ours investigating the effect of dietary lipid levels on the choline requirement of Atlantic salmon showed increasing severity of intestinal steatosis with increasing lipid levels. As choline is involved in epigenetic regulation by being the key methyl donor, pyloric caeca samples from the study were analysed for epigenetic effects of dietary lipid and choline levels. The diets varied in lipid levels between 16% and 28%, and choline levels between 1.9 and 2.3 g/kg. The diets were fed for 8 weeks to Atlantic salmon of 25 g of initial weight. Using reduced representation bisulfite sequencing (RRBS), this study revealed that increasing dietary lipid levels induced methylation differences in genes involved in membrane transport and signalling pathways, and in microRNAs important for the regulation of lipid homoeostasis. Increasing choline levels also affected genes involved in fatty acid biosynthesis and transport, lipolysis, and lipogenesis, as well as important immune genes. Our observations confirmed that choline is involved in epigenetic regulation in Atlantic salmon, as has been reported for higher vertebrates. This study showed the need for the inclusion of biomarkers of epigenetic processes in studies that must be conducted to define optimal choline levels in diets for Atlantic salmon.
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Affiliation(s)
- Anusha K.S. Dhanasiri
- Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Daphne Siciliani
- Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Trond M. Kortner
- Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Åshild Krogdahl
- Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences (NMBU), Ås, Norway
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López-Catalina A, Reverter A, Alexandre PA, Nguyen LT, González-Recio O. Stress-induced epigenetic effects driven by maternal lactation in dairy cattle: a comethylation network approach. Epigenetics 2024; 19:2381856. [PMID: 39044410 PMCID: PMC11271077 DOI: 10.1080/15592294.2024.2381856] [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: 04/18/2024] [Accepted: 07/14/2024] [Indexed: 07/25/2024] Open
Abstract
Epigenetic marks do not follow the Mendelian laws of inheritance. The environment can alter the epigenotype of an individual when exposed to different external stressors. In lactating cows, the first stages of gestation overlap with the lactation peak, creating a negative energy balance that is difficult to overcome with diet. This negative energy balance could affect early embryo development that must compete with the mammary tissue for nutrients. We hypothesize that the methylation profiles of calves born to nonlactating heifers are different from those of calves born to lactating cows. We found 50,277 differentially methylated cytosines and 2,281 differentially methylated regions between these two groups of animals. A comethylation network was constructed to study the correlation between the phenotypes of the mothers and the epigenome of the calves, revealing 265 regions associated with the phenotypes. Our study revealed the presence of DMCs and DMRs in calves gestated by heifers and lactating cows, which were linked to the dam's lactation and the calves' ICAP and milk EBV. Gene-specific analysis highlighted associations with vasculature and organ morphogenesis and cell communication and signalling. These finding support the hypothesis that calves gestated by nonlactating mothers have a different methylation profile than those gestated by lactating cows.
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Affiliation(s)
- Adrián López-Catalina
- Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), CSIC, Crta. de la Coruña km 7.5, Madrid, Spain
- Departamento de Producción Agraria, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, Madrid, Spain
- CSIRO Agriculture & Food, Queensland Bioscience Precinct, Brisbane, Queensland, Australia
| | - Antonio Reverter
- CSIRO Agriculture & Food, Queensland Bioscience Precinct, Brisbane, Queensland, Australia
| | - Pamela A. Alexandre
- CSIRO Agriculture & Food, Queensland Bioscience Precinct, Brisbane, Queensland, Australia
| | - Loan T. Nguyen
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, Australia
| | - Oscar González-Recio
- Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), CSIC, Crta. de la Coruña km 7.5, Madrid, Spain
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Semik-Gurgul E, Pawlina-Tyszko K, Gurgul A, Szmatoła T, Rybińska J, Ząbek T. In search of epigenetic hallmarks of different tissues: an integrative omics study of horse liver, lung, and heart. Mamm Genome 2024:10.1007/s00335-024-10057-0. [PMID: 39143382 DOI: 10.1007/s00335-024-10057-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 08/01/2024] [Indexed: 08/16/2024]
Abstract
DNA methylation and microRNA (miRNA) expression are epigenetic mechanisms essential for regulating tissue-specific gene expression and metabolic processes. However, high-resolution transcriptome, methylome, or miRNAome data is only available for a few model organisms and selected tissues. Up to date, only a few studies have reported on gene expression, DNA methylation, or miRNA expression in adult equine tissues at the genome-wide level. In the present study, we used RNA-Seq, miRNA-seq, and reduced representation bisulfite sequencing (RRBS) data from the heart, lung, and liver tissues of healthy cold-blooded horses to identify differentially expressed genes (DEGs), differentially expressed miRNA (DE miRNA) and differentially methylated sites (DMSs) between three types of horse tissues. Additionally, based on integrative omics analysis, we described the observed interactions of epigenetic mechanisms with tissue-specific gene expression alterations. The obtained data allowed identification from 4067 to 6143 DMSs, 9733 to 11,263 mRNAs, and 155 to 185 microRNAs, differentially expressed between various tissues. We pointed out specific genes whose expression level displayed a negative correlation with the level of CpG methylation and miRNA expression and revealed biological processes that they enrich. Furthermore, we confirmed and validated the accuracy of the Next-Generation Sequencing (NGS) results with bisulfite sequencing PCR (BSP) and quantitative PCR (qPCR). This comprehensive analysis forms a strong foundation for exploring the epigenetic mechanisms involved in tissue differentiation, especially the growth and development of the equine heart, lungs, and liver.
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Affiliation(s)
- Ewelina Semik-Gurgul
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St, Balice, 32-083, Poland.
| | - Klaudia Pawlina-Tyszko
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St, Balice, 32-083, Poland
| | - Artur Gurgul
- Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Redzina 1c, Krakow, 30-248, Poland
| | - Tomasz Szmatoła
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St, Balice, 32-083, Poland
- Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Redzina 1c, Krakow, 30-248, Poland
| | - Justyna Rybińska
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St, Balice, 32-083, Poland
| | - Tomasz Ząbek
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St, Balice, 32-083, Poland
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Edelmann S, Balaji J, Pasche S, Wiegand A, Nieratschker V. DNA Methylation of PXDN Is Associated with Early-Life Adversity in Adult Mental Disorders. Biomolecules 2024; 14:976. [PMID: 39199364 PMCID: PMC11353138 DOI: 10.3390/biom14080976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 08/01/2024] [Accepted: 08/06/2024] [Indexed: 09/01/2024] Open
Abstract
Early-life adversity (ELA) is characterized by exposure to traumatic events during early periods of life, particularly involving emotional, sexual and/or physical adversities during childhood. Mental disorders are strongly influenced by environmental and lifestyle-related risk factors including ELA. However, the molecular link between ELA and the risk of an adult mental disorder is still not fully understood. Evidence is emerging that long-lasting changes in the epigenetic processes regulating gene expression, such as DNA methylation, play an important role in the biological mechanisms linking ELA and mental disorders. Based on a recent study, we analyzed the DNA methylation of a specific CpG site within the gene PXDN-cg10888111-in blood in the context of ELA across a set of psychiatric disorders, namely Borderline Personality Disorder (BPD), Major Depressive Disorder (MDD) and Social Anxiety Disorder (SAD), and its potential contribution to their pathogenesis. We found significant hypermethylation in mentally ill patients with high levels of ELA compared to patients with low levels of ELA, whereas cg10888111 methylation in healthy control individuals was not affected by ELA. Further investigations revealed that this effect was driven by the MDD cohort. Providing a direct comparison of cg10888111 DNA methylation in blood in the context of ELA across three mental disorders, our results indicate the role of PXDN regulation in the response to ELA in the pathogenesis of mental disorders, especially MDD. Further studies will be needed to validate these results and decipher the corresponding biological network that is involved in the transmission of ELA to an adult mental disorder in general.
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Affiliation(s)
- Susanne Edelmann
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, 72076 Tuebingen, Germany
- German Center for Mental Health (DZPG), Partner Site Tuebingen, 72076 Tuebingen, Germany
| | - Jeysri Balaji
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, 72076 Tuebingen, Germany
| | - Sarah Pasche
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, 72076 Tuebingen, Germany
| | - Ariane Wiegand
- Max Planck Fellow Group Precision Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, 80336 Munich, Germany
| | - Vanessa Nieratschker
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, 72076 Tuebingen, Germany
- German Center for Mental Health (DZPG), Partner Site Tuebingen, 72076 Tuebingen, Germany
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Zafrilla-López M, Acosta-Díez M, Mitjans M, Giménez-Palomo A, Saiz PA, Barrot-Feixat C, Jiménez E, Papiol S, Ruiz V, Gavín P, García-Portilla MP, González-Blanco L, Bobes J, Schulze TG, Vieta E, Benabarre A, Arias B. Lithium response in bipolar disorder: Epigenome-wide DNA methylation signatures and epigenetic aging. Eur Neuropsychopharmacol 2024; 85:23-31. [PMID: 38669938 DOI: 10.1016/j.euroneuro.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/28/2024]
Abstract
Lithium (Li) is the first-line treatment for bipolar disorder (BD) even though only 30 % of BD patients are considered excellent responders. The mechanisms by which Li exerts its action are not clearly understood, but it has been suggested that specific epigenetic mechanisms, such as methylation processes, may play a role. In this regard, DNA methylation patterns can be used to estimate epigenetic age (EpiAge), which is accelerated in BD patients and reversed by Li treatment. Our first aim was to compare the DNA methylation profile in peripheral blood between BD patients categorized as excellent responders to Li (Ex-Rp) and non-responders (N-Rp). Secondly, EpiAge was estimated to detect differential age acceleration between the two groups. A total of 130 differentially methylated positions (DMPs) and 16 differentially methylated regions (DMRs) between Ex-Rp (n = 26) and N-Rp (n = 37) were identified (FDR adjusted p-value < 0.05). We found 122 genes mapping the DMPs and DMRs, nine of which (HOXB6, HOXB3, HOXB-AS3, TENM2, CACNA1B, ANK3, EEF2K, CYP1A1, and SORCS2) had previously been linked to Li response. We found genes related to the GSK3β pathway to be highly represented. Using FUMA, we found enrichment in Gene Ontology Cell Component for the synapse. Gene network analysis highlighted functions related to the cell cycle, nervous system development and function, and gene expression. No significant differences in age acceleration were found between Ex-Rp and N-Rp for any of the epigenetic clocks analysed. Our findings indicate that a specific methylation pattern could determine the response to Li in BD patients. We also found that a significant portion of the differentially methylated genes are closely associated with the GSK3β pathway, reinforcing the role of this system in Li response. Future longitudinal studies with larger samples will help to elucidate the epigenetic mechanisms underlying Li response.
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Affiliation(s)
- Marina Zafrilla-López
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Barcelona, Spain
| | - Miriam Acosta-Díez
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Barcelona, Spain
| | - Marina Mitjans
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Spain; Institute of Biomedicine of the University of Barcelona (IBUB), Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Spain.
| | - Anna Giménez-Palomo
- Bipolar and Depressive Disorders Unit, Psychiatry and Psychology Service, Clinical Institute of Neuroscience, Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Pilar A Saiz
- Department of Psychiatry, Servicio de Salud del Principado de Asturias (SESPA), School of Medicine, University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Ester Jiménez
- Bipolar and Depressive Disorders Unit, Psychiatry and Psychology Service, Clinical Institute of Neuroscience, Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain; Institut de Neurociències, Department of Medicine, University of Barcelona, Barcelona, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Sergi Papiol
- CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany
| | - Victoria Ruiz
- Bipolar and Depressive Disorders Unit, Psychiatry and Psychology Service, Clinical Institute of Neuroscience, Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Patrícia Gavín
- Bipolar and Depressive Disorders Unit, Psychiatry and Psychology Service, Clinical Institute of Neuroscience, Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - María Paz García-Portilla
- Department of Psychiatry, Servicio de Salud del Principado de Asturias (SESPA), School of Medicine, University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Leticia González-Blanco
- Department of Psychiatry, Servicio de Salud del Principado de Asturias (SESPA), School of Medicine, University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Julio Bobes
- Department of Psychiatry, Servicio de Salud del Principado de Asturias (SESPA), School of Medicine, University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany; Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Psychiatry and Psychology Service, Clinical Institute of Neuroscience, Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain; Institut de Neurociències, Department of Medicine, University of Barcelona, Barcelona, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Antoni Benabarre
- Bipolar and Depressive Disorders Unit, Psychiatry and Psychology Service, Clinical Institute of Neuroscience, Hospital Clinic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain; Institut de Neurociències, Department of Medicine, University of Barcelona, Barcelona, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Bárbara Arias
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Barcelona, Spain; Institute of Biomedicine of the University of Barcelona (IBUB), Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
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Liang P, Peng M, Tao J, Wang B, Wei J, Lin L, Cheng B, Xiong S, Li J, Li C, Yu Z, Li C, Wang J, Li H, Chen Z, Fan J, Liang W, He J. Development of a genome atlas for discriminating benign, preinvasive, and invasive lung nodules. MedComm (Beijing) 2024; 5:e644. [PMID: 39036344 PMCID: PMC11258453 DOI: 10.1002/mco2.644] [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: 12/26/2023] [Revised: 06/10/2024] [Accepted: 06/12/2024] [Indexed: 07/23/2024] Open
Abstract
To tackle misdiagnosis in lung cancer screening with low-dose computed tomography (LDCT), we aimed to compile a genome atlas for differentiating benign, preinvasive, and invasive lung nodules and characterize their molecular pathogenesis. We collected 432 lung nodule tissue samples from Chinese patients, spanning benign, atypical adenomatous hyperplasia (AAH), adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma (IA). We performed comprehensive sequencing, examining somatic variants, gene expressions, and methylation levels. Our findings uncovered EGFR and TP53 mutations as key drivers in - early lung cancer development, with EGFR mutation frequency increasing with disease progression. Both EGFR mutations and EGF/EGFR hypo-methylation activated the EGFR pathway, fueling cancer growth. Transcriptome analysis identified four lung nodule subtypes (G1-4) with distinct molecular features and immune cell infiltrations: EGFR-driven G1, EGFR/TP53 co-mutation G2, inflamed G3, stem-like G4. Estrogen/androgen response was associated with the EGFR pathway, proposing a new therapy combining tyrosine kinase inhibitors with antiestrogens. Preinvasive nodules exhibited stem cell pathway enrichment, potentially hindering invasion. Epigenetic regulation of various genes was essential for lung cancer initiation and development. This study provides insights into the molecular mechanism of neoplastic progression and identifies potential diagnostic biomarkers and therapeutic targets for lung cancer.
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Affiliation(s)
- Peng Liang
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Minhua Peng
- AnchorDx Medical Co., LtdGuangzhouGuangdongChina
| | - Jinsheng Tao
- AnchorDx Medical Co., LtdGuangzhouGuangdongChina
| | - Bo Wang
- AnchorDx Medical Co., LtdGuangzhouGuangdongChina
| | - Jinwang Wei
- Department of Data ScienceGenomicare Biotechnology (Shanghai) Co., Ltd.ShanghaiChina
- Department of Data ScienceShanghai CreateCured Biotechnology Co., Ltd.ShanghaiChina
| | - Lixuan Lin
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Bo Cheng
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Shan Xiong
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Jianfu Li
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Caichen Li
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Ziwen Yu
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Chunyan Li
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Jun Wang
- AnchorDx Medical Co., LtdGuangzhouGuangdongChina
| | - Hui Li
- AnchorDx Medical Co., LtdGuangzhouGuangdongChina
| | - Zhiwei Chen
- AnchorDx Medical Co., LtdGuangzhouGuangdongChina
- AnchorDx Inc.FremontCaliforniaUSA
| | - Jian‐Bing Fan
- AnchorDx Medical Co., LtdGuangzhouGuangdongChina
- Department of PathologySouthern Medical UniversityGuangzhouGuangdongChina
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
| | - Jianxing He
- Department of Thoracic Surgery and Oncologythe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdongChina
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Zou L, Liu Z, Jin M, Wang P, Shan Y, Xiao Y. Genome-wide DNA methylation profile and its function in regulating Vip3Aa tolerance in fall armyworm (Spodoptera frugiperda). PEST MANAGEMENT SCIENCE 2024. [PMID: 39030881 DOI: 10.1002/ps.8313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/05/2024] [Accepted: 07/02/2024] [Indexed: 07/22/2024]
Abstract
BACKGROUND Vegetative insecticidal proteins (Vips) are widely used in pest management, but Vip tolerance poses a significant threat. DNA methylation plays important roles in regulating the response of biological organisms to environmental stress, and it may also regulate fall armyworm (FAW, Spodoptera frugiperda) Vip3Aa tolerance. RESULTS In this study, a DNA methylation map was developed for FAW, and its function in regulating FAW Vip3Aa tolerance was explored. The FAW genome-wide DNA methylation map showed that exons were preferred regions for DNA methylation and housekeeping genes were highly methylated. FAW was screened using Vip3Aa for ten generations, and bioassays indicated that Vip3Aa tolerance increased trans-generationally. A comparison of DNA methylation maps between Vip3Aa-tolerant and -susceptible strains showed that gene body methylation was positively correlated with gene expression level. FAW exhibits significant variation in DNA methylation among individuals, and Vip3Aa screening induces epigenetic variation based on DNA methylation. Moreover, the study demonstrated that a reduction in methylation density within the gene body of a 3'5'-cyclic nucleotide phosphodiesterase gene resulted in decreased expression and increased tolerance of FAW to Vip3Aa, which was validated through RNA interference experiments. CONCLUSION The DNA methylation map and mechanism of Vip3Aa tolerance improve our understanding of DNA methylation and its function in Lepidoptera and provide a new perspective for developing pest management strategies. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Luming Zou
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, People's Republic of China
| | - Zhenxing Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, People's Republic of China
| | - Minghui Jin
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, People's Republic of China
| | - Peng Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, People's Republic of China
| | - Yinxue Shan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, People's Republic of China
| | - Yutao Xiao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Gene Editing Technologies (Hainan), Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, People's Republic of China
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8
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Wang C, Chen S, Zhang R, Chen M, Yang X, He Y, Shangguan Z, Mao Q, Zhang Z, Ying S. Apolipoprotein A-1 downregulation promotes basal-like breast cancer cell proliferation and migration associated with DNA methylation. Oncol Lett 2024; 28:295. [PMID: 38737975 PMCID: PMC11082839 DOI: 10.3892/ol.2024.14428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/18/2024] [Indexed: 05/14/2024] Open
Abstract
Apolipoprotein A-I (APOA1) performs different roles in different subtypes of breast cancer. It is hypothesized to function as a tumor suppressor in basal-like breast cancer (BLBC). However, the specific role of APOA1 in BLBC and its underlying mechanisms remain unknown. The findings of the present study demonstrated a positive correlation between the expression level of APOA1 and the overall survival of patients with BLBC. Ectopic expression of APOA1 effectively inhibits the proliferation and metastasis of BLBC cells in vitro, and these effects are closely related to DNA methylation. To the best of our knowledge, the present study is the first to report increased methylation of the promoter region and decreased methylation of the structural genes of APOA1 in BLBC cells. These alterations resulted in the downregulation of APOA1 expression and suppression of BLBC tumor growth. Collectively, the results of the present study suggested that APOA1 mRNA expression is negatively regulated by DNA methylation in BLBC. Therefore, low expression of APOA1 may be a potential risk biomarker to predict survival in patients with BLBC.
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Affiliation(s)
- Cong Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China
| | - Shiliang Chen
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China
| | - Ranran Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China
| | - Mengqing Chen
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China
| | - Xiaoxiao Yang
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China
| | - Yibo He
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China
| | - Zuifei Shangguan
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China
| | - Qifen Mao
- Department of Clinical Laboratory, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, P.R. China
| | - Zhezhong Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China
| | - Sunke Ying
- Department of Clinical Laboratory, The First People's Hospital of Yongkang, Jinhua, Zhejiang 321300, P.R. China
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9
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Nair VD, Pincas H, Smith GR, Zaslavsky E, Ge Y, Amper MAS, Vasoya M, Chikina M, Sun Y, Raja AN, Mao W, Gay NR, Esser KA, Smith KS, Zhao B, Wiel L, Singh A, Lindholm ME, Amar D, Montgomery S, Snyder MP, Walsh MJ, Sealfon SC. Molecular adaptations in response to exercise training are associated with tissue-specific transcriptomic and epigenomic signatures. CELL GENOMICS 2024; 4:100421. [PMID: 38697122 PMCID: PMC11228891 DOI: 10.1016/j.xgen.2023.100421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/07/2023] [Accepted: 09/12/2023] [Indexed: 05/04/2024]
Abstract
Regular exercise has many physical and brain health benefits, yet the molecular mechanisms mediating exercise effects across tissues remain poorly understood. Here we analyzed 400 high-quality DNA methylation, ATAC-seq, and RNA-seq datasets from eight tissues from control and endurance exercise-trained (EET) rats. Integration of baseline datasets mapped the gene location dependence of epigenetic control features and identified differing regulatory landscapes in each tissue. The transcriptional responses to 8 weeks of EET showed little overlap across tissues and predominantly comprised tissue-type enriched genes. We identified sex differences in the transcriptomic and epigenomic changes induced by EET. However, the sex-biased gene responses were linked to shared signaling pathways. We found that many G protein-coupled receptor-encoding genes are regulated by EET, suggesting a role for these receptors in mediating the molecular adaptations to training across tissues. Our findings provide new insights into the mechanisms underlying EET-induced health benefits across organs.
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Affiliation(s)
- Venugopalan D Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Hanna Pincas
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Gregory R Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mary Anne S Amper
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mital Vasoya
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maria Chikina
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yifei Sun
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Weiguang Mao
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nicole R Gay
- Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Karyn A Esser
- Department of Physiology and Aging, University of Florida, Gainesville, FL 32610, USA
| | - Kevin S Smith
- Departments of Pathology and Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Bingqing Zhao
- Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Laurens Wiel
- Department of Medicine, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Aditya Singh
- Department of Medicine, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Malene E Lindholm
- Department of Medicine, Stanford School of Medicine, Stanford, CA 94305, USA
| | - David Amar
- Department of Medicine, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Stephen Montgomery
- Departments of Pathology and Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Michael P Snyder
- Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Martin J Walsh
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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10
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Son D, Kong Y, Tan Y, Hu T, Shi L, Yi SV. Whole-genome DNA methylomes of Tree shrew brains reveal conserved and divergent roles of DNA methylation on sex chromosome regulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.05.597676. [PMID: 38895372 PMCID: PMC11185668 DOI: 10.1101/2024.06.05.597676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
The tree shrew (Tupaia belangeri) is a promising emerging model organism in biomedical studies, notably due to their evolutionary proximity to primates. To enhance our understanding of how DNA methylation is implicated in regulation of gene expression and the X chromosome inactivation (XCI) in tree shrew brains, here we present their first genome-wide, single-base-resolution methylomes integrated with transcriptomes from prefrontal cortices. We discovered both divergent and conserved features of tree shrew DNA methylation compared to that of other mammals. DNA methylation levels of promoter and gene body regions are negatively correlated with gene expression, consistent with patterns in other mammalian brains studied. Comparing DNA methylation patterns of the female and male X chromosomes, we observed a clear and significant global reduction (hypomethylation) of DNA methylation across the entire X chromosome in females. Our data suggests that the female X hypomethylation does not directly contribute to the gene silencing of the inactivated X chromosome nor does it significantly drive sex-specific gene expression of tree shrews. However, we identified a putative regulatory region in the 5' end of the X inactive specific transcript (Xist) gene, a key gene for XCI, whose pattern of differential DNA methylation strongly relate to its differential expression between male and female tree shrews. We show that differential methylation of this region is conserved across different species. Moreover, we provide evidence suggesting that the observed difference between human and tree shrew X-linked promoter methylation is associated with the difference in genomic CpG contents. Our study offers novel information on genomic DNA methylation of tree shrews, as well as insights into the evolution of X chromosome regulation in mammals.
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Affiliation(s)
- Dongmin Son
- Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara
- Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California Santa Barbara
| | - Yifan Kong
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, P.R. China
| | - Yulian Tan
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, P.R. China
| | - Ting Hu
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, P.R. China
| | - Lei Shi
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, P.R. China
| | - Soojin V. Yi
- Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara
- Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California Santa Barbara
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11
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MacCalman A, De Franco E, Franklin A, Flaxman CS, Richardson SJ, Murrall K, Burrage J, Walker EM, Morgan NG, Hattersley AT, Dempster EL, Hannon E, Jeffries AR, Owens NDL, Mill J. Developmentally dynamic changes in DNA methylation in the human pancreas. BMC Genomics 2024; 25:553. [PMID: 38831310 PMCID: PMC11145889 DOI: 10.1186/s12864-024-10450-8] [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: 02/07/2024] [Accepted: 05/24/2024] [Indexed: 06/05/2024] Open
Abstract
Development of the human pancreas requires the precise temporal control of gene expression via epigenetic mechanisms and the binding of key transcription factors. We quantified genome-wide patterns of DNA methylation in human fetal pancreatic samples from donors aged 6 to 21 post-conception weeks. We found dramatic changes in DNA methylation across pancreas development, with > 21% of sites characterized as developmental differentially methylated positions (dDMPs) including many annotated to genes associated with monogenic diabetes. An analysis of DNA methylation in postnatal pancreas tissue showed that the dramatic temporal changes in DNA methylation occurring in the developing pancreas are largely limited to the prenatal period. Significant differences in DNA methylation were observed between males and females at a number of autosomal sites, with a small proportion of sites showing sex-specific DNA methylation trajectories across pancreas development. Pancreas dDMPs were not distributed equally across the genome and were depleted in regulatory domains characterized by open chromatin and the binding of known pancreatic development transcription factors. Finally, we compared our pancreas dDMPs to previous findings from the human brain, identifying evidence for tissue-specific developmental changes in DNA methylation. This study represents the first systematic exploration of DNA methylation patterns during human fetal pancreas development and confirms the prenatal period as a time of major epigenomic plasticity.
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Affiliation(s)
- Ailsa MacCalman
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Elisa De Franco
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Alice Franklin
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Christine S Flaxman
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Sarah J Richardson
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Kathryn Murrall
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Joe Burrage
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Emma M Walker
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Noel G Morgan
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Emma L Dempster
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Eilis Hannon
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Aaron R Jeffries
- Department of Biosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Nick D L Owens
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK
| | - Jonathan Mill
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Barrack Rd, Exeter, EX2 5DW, UK.
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12
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Zhang W, Zhang L, Feng Y, Lin D, Yang Z, Zhang Z, Ma Y. Genome-wide profiling of DNA methylome and transcriptome reveals epigenetic regulation of Urechis unicinctus response to sulfide stress. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172238. [PMID: 38582121 DOI: 10.1016/j.scitotenv.2024.172238] [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: 01/29/2024] [Revised: 03/28/2024] [Accepted: 04/03/2024] [Indexed: 04/08/2024]
Abstract
Sulfide is a well-known environmental pollutant that can have detrimental effects on most organisms. However, few metazoans living in sulfide-rich environments have developed mechanisms to tolerate and adapt to sulfide stress. Epigenetic mechanisms, including DNA methylation, have been shown to play a vital role in environmental stress adaptation. Nevertheless, the precise function of DNA methylation in biological sulfide adaptation remains unclear. Urechis unicinctus, a benthic organism inhabiting sulfide-rich intertidal environments, is an ideal model organism for studying adaptation to sulfide environments. In this study, we conducted a comprehensive analysis of the DNA methylome and transcriptome of U. unicinctus after exposure to 50 μM sulfide. The results revealed dynamic changes in the DNA methylation (5-methylcytosine) landscape in response to sulfide stress, with U. unicinctus exhibiting elevated DNA methylation levels following stress exposure. Integrating differentially expressed genes (DEGs) and differentially methylated regions (DMRs), we identified a crucial role of gene body methylation in predicting gene expression. Furthermore, using a DNA methyltransferase inhibitor, we validated the involvement of DNA methylation in the sulfide stress response and the gene regulatory network influenced by DNA methylation. The results indicated that by modulating DNA methylation levels during sulfide stress, the expression of glutathione S-transferase, glutamyl aminopeptidase, and cytochrome c oxidase could be up-regulated, thereby facilitating the metabolism and detoxification of exogenous sulfides. Moreover, DNA methylation was found to regulate and enhance the oxidative phosphorylation pathway, including NADH dehydrogenase, isocitrate dehydrogenase, and ATP synthase. Additionally, DNA methylation influenced the regulation of Cytochrome P450 and macrophage migration inhibitory factor, both of which are closely associated with oxidative stress and stress resistance. Our findings not only emphasize the role of DNA methylation in sulfide adaptation but also provide novel insights into the potential mechanisms through which marine organisms adapt to environmental changes.
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Affiliation(s)
- Wenqing Zhang
- Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Ocean Institute, Ocean University of China, Sanya 572000, China
| | - Long Zhang
- Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Ocean Institute, Ocean University of China, Sanya 572000, China
| | - Yuxin Feng
- Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Ocean Institute, Ocean University of China, Sanya 572000, China
| | - Dawei Lin
- Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Ocean Institute, Ocean University of China, Sanya 572000, China
| | - Zhi Yang
- Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Ocean Institute, Ocean University of China, Sanya 572000, China
| | - Zhifeng Zhang
- Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Ocean Institute, Ocean University of China, Sanya 572000, China; Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China.
| | - Yubin Ma
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China.
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13
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Boman J, Qvarnström A, Mugal CF. Regulatory and evolutionary impact of DNA methylation in two songbird species and their naturally occurring F 1 hybrids. BMC Biol 2024; 22:124. [PMID: 38807214 PMCID: PMC11134931 DOI: 10.1186/s12915-024-01920-2] [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: 01/19/2024] [Accepted: 05/15/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND Regulation of transcription by DNA methylation in 5'-CpG-3' context is a widespread mechanism allowing differential expression of genetically identical cells to persist throughout development. Consequently, differences in DNA methylation can reinforce variation in gene expression among cells, tissues, populations, and species. Despite a surge in studies on DNA methylation, we know little about the importance of DNA methylation in population differentiation and speciation. Here we investigate the regulatory and evolutionary impact of DNA methylation in five tissues of two Ficedula flycatcher species and their naturally occurring F1 hybrids. RESULTS We show that the density of CpG in the promoters of genes determines the strength of the association between DNA methylation and gene expression. The impact of DNA methylation on gene expression varies among tissues with the brain showing unique patterns. Differentially expressed genes between parental species are predicted by genetic and methylation differentiation in CpG-rich promoters. However, both these factors fail to predict hybrid misexpression suggesting that promoter mismethylation is not a main determinant of hybrid misexpression in Ficedula flycatchers. Using allele-specific methylation estimates in hybrids, we also determine the genome-wide contribution of cis- and trans effects in DNA methylation differentiation. These distinct mechanisms are roughly balanced in all tissues except the brain, where trans differences predominate. CONCLUSIONS Overall, this study provides insight on the regulatory and evolutionary impact of DNA methylation in songbirds.
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Affiliation(s)
- Jesper Boman
- Department of Ecology and Genetics (IEG), Division of Evolutionary Biology, Uppsala University, Norbyvägen 18D, Uppsala, SE-752 36, Sweden.
| | - Anna Qvarnström
- Department of Ecology and Genetics (IEG), Division of Animal Ecology, Uppsala University, Norbyvägen 18D, Uppsala, SE-752 36, Sweden
| | - Carina F Mugal
- Department of Ecology and Genetics (IEG), Division of Evolutionary Biology, Uppsala University, Norbyvägen 18D, Uppsala, SE-752 36, Sweden.
- CNRS, Laboratory of Biometry and Evolutionary Biology (LBBE), UMR 5558, University of Lyon 1, Villeurbanne, France.
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14
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Lariviere D, Craig SJC, Paul IM, Hohman EE, Savage JS, Wright RO, Chiaromonte F, Makova KD, Reimherr ML. Methylation profiles at birth linked to early childhood obesity. J Dev Orig Health Dis 2024; 15:e7. [PMID: 38660759 PMCID: PMC11268442 DOI: 10.1017/s2040174424000060] [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] [Indexed: 04/26/2024]
Abstract
Childhood obesity represents a significant global health concern and identifying its risk factors is crucial for developing intervention programs. Many "omics" factors associated with the risk of developing obesity have been identified, including genomic, microbiomic, and epigenomic factors. Here, using a sample of 48 infants, we investigated how the methylation profiles in cord blood and placenta at birth were associated with weight outcomes (specifically, conditional weight gain, body mass index, and weight-for-length ratio) at age six months. We characterized genome-wide DNA methylation profiles using the Illumina Infinium MethylationEpic chip, and incorporated information on child and maternal health, and various environmental factors into the analysis. We used regression analysis to identify genes with methylation profiles most predictive of infant weight outcomes, finding a total of 23 relevant genes in cord blood and 10 in placenta. Notably, in cord blood, the methylation profiles of three genes (PLIN4, UBE2F, and PPP1R16B) were associated with all three weight outcomes, which are also associated with weight outcomes in an independent cohort suggesting a strong relationship with weight trajectories in the first six months after birth. Additionally, we developed a Methylation Risk Score (MRS) that could be used to identify children most at risk for developing childhood obesity. While many of the genes identified by our analysis have been associated with weight-related traits (e.g., glucose metabolism, BMI, or hip-to-waist ratio) in previous genome-wide association and variant studies, our analysis implicated several others, whose involvement in the obesity phenotype should be evaluated in future functional investigations.
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Affiliation(s)
- Delphine Lariviere
- Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA
| | - Sarah J C Craig
- Department of Biology, Penn State University, University Park, PA, USA
- Center for Medical Genomics, Penn State University, University Park, PA, USA
| | - Ian M Paul
- Center for Medical Genomics, Penn State University, University Park, PA, USA
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA, USA
| | - Emily E Hohman
- Center for Childhood Obesity Research, Penn State University, University Park, PA, USA
| | - Jennifer S Savage
- Center for Childhood Obesity Research, Penn State University, University Park, PA, USA
- Nutrition Department, Penn State University, University Park, PA, USA
| | | | - Francesca Chiaromonte
- Center for Medical Genomics, Penn State University, University Park, PA, USA
- Department of Statistics, Penn State University, University Park, PA, USA
- L'EMbeDS, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà, Pisa, Italy
| | - Kateryna D Makova
- Department of Biology, Penn State University, University Park, PA, USA
- Center for Medical Genomics, Penn State University, University Park, PA, USA
| | - Matthew L Reimherr
- Center for Medical Genomics, Penn State University, University Park, PA, USA
- Department of Statistics, Penn State University, University Park, PA, USA
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15
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Morgan R, Loh E, Singh D, Mendizabal I, Yi SV. DNA methylation differences between the female and male X chromosomes in human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.16.589778. [PMID: 38659923 PMCID: PMC11042362 DOI: 10.1101/2024.04.16.589778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
The mechanisms of X chromosome inactivation suggest fundamental epigenetic differences between the female and male X chromosomes. However, DNA methylation studies often exclude the X chromosomes. In addition, many previous studies relied on techniques that examine non-randomly selected subsets of positions such as array-based methods, rather than assessing the whole X chromosome. Consequently, our understanding of X chromosome DNA methylation lags behind that of autosomes. Here we addressed this gap of knowledge by studying X chromosome DNA methylation using 89 whole genome bisulfite sequencing (WGBS) maps from neurons and oligodendrocytes. Using this unbiased and comprehensive data, we show that DNA methylation of the female X chromosomes is globally reduced (hypomethylated) across the entire chromosome compared to the male X chromosomes and autosomes. On the other hand, the majority of X-linked promoters were more highly methylated (hypermethylated) in females compared to males, consistent with the role of DNA methylation in X chromosome inactivation and dosage compensation. Remarkably, hypermethylation of female X promoters was limited to a group of previously lowly methylated promoters. The other group of highly methylated promoters were both hyper- and hypo-methylated in females with no obvious association with gene expression. Therefore, X chromosome inactivation by DNA methylation was exclusive to a subset of promoters with distinctive epigenetic feature. Apart from this group of promoters, differentially methylated regions in the female and male X chromosomes were dominated by female hypomethylation. Our study furthers the understanding of X-chromosome dosage regulation by DNA methylation on the chromosomal level as well as on individual gene level.
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Affiliation(s)
- Robert Morgan
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30332
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332
- Current address: Arbor Biotechnologies, Cambridge, MA, 02140
| | - Eddie Loh
- Department of Ecology and Evolution and Marine Biology, Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara
| | - Devika Singh
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332
- Current address: Foundation Medicine, Inc., Boston, MA, 02210
| | - Isabel Mendizabal
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, Building 801A, 48160, Derio, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
- Translational prostate cancer Research lab, CIC bioGUNE-Basurto, Biocruces Bizkaia Health Research Institute, Derio, Spain
| | - Soojin V Yi
- Department of Ecology and Evolution and Marine Biology, Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara
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16
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Davydova E, Perenkov A, Vedunova M. Building Minimized Epigenetic Clock by iPlex MassARRAY Platform. Genes (Basel) 2024; 15:425. [PMID: 38674360 PMCID: PMC11049545 DOI: 10.3390/genes15040425] [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: 02/26/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Epigenetic clocks are valuable tools for estimating both chronological and biological age by assessing DNA methylation levels at specific CpG dinucleotides. While conventional epigenetic clocks rely on genome-wide methylation data, targeted approaches offer a more efficient alternative. In this study, we explored the feasibility of constructing a minimized epigenetic clock utilizing data acquired through the iPlex MassARRAY technology. The study enrolled a cohort of relatively healthy individuals, and their methylation levels of eight specific CpG dinucleotides in genes SLC12A5, LDB2, FIGN, ACSS3, FHL2, and EPHX3 were evaluated using the iPlex MassARRAY system and the Illumina EPIC array. The methylation level of five studied CpG sites demonstrated significant correlations with chronological age and an acceptable convergence of data obtained by the iPlex MassARRAY and Illumina EPIC array. At the same time, the methylation level of three CpG sites showed a weak relationship with age and exhibited a low concordance between the data obtained from the two technologies. The construction of the epigenetic clock involved the utilization of different machine-learning models, including linear models, deep neural networks (DNN), and gradient-boosted decision trees (GBDT). The results obtained from these models were compared with each other and with the outcomes generated by other well-established epigenetic clocks. In our study, the TabNet architecture (deep tabular data learning architecture) exhibited the best performance (best MAE = 5.99). Although our minimized epigenetic clock yielded slightly higher age prediction errors compared to other epigenetic clocks, it still represents a viable alternative to the genome-wide epigenotyping array.
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Affiliation(s)
- Ekaterina Davydova
- Institute of Biology and Biomedicine, Lobachevsky State University, 23 Gagarin Ave., Nizhny Novgorod 603022, Russia (M.V.)
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17
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Skardžiūtė K, Kvederavičiūtė K, Pečiulienė I, Narmontė M, Gibas P, Ličytė J, Klimašauskas S, Kriukienė E. One-pot trimodal mapping of unmethylated, hydroxymethylated, and open chromatin sites unveils distinctive 5hmC roles at dynamic chromatin loci. Cell Chem Biol 2024; 31:607-621.e9. [PMID: 38154461 PMCID: PMC10962225 DOI: 10.1016/j.chembiol.2023.12.003] [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: 06/26/2023] [Revised: 10/19/2023] [Accepted: 12/05/2023] [Indexed: 12/30/2023]
Abstract
We present a method, named Mx-TOP, for profiling of three epigenetic regulatory layers-chromatin accessibility, general DNA modification, and DNA hydroxymethylation-from a single library. The approach is based on chemo-enzymatic covalent tagging of unmodified CG sites and hydroxymethylated cytosine (5hmC) along with GC sites in chromatin, which are then mapped using tag-selective base-resolution TOP-seq sequencing. Our in-depth validation of the approach revealed its sensitivity and informativity in evaluating chromatin accessibility and DNA modification interactions that drive transcriptional regulation. We employed the technology in a study of chromatin and DNA demethylation dynamics during in vitro neuronal differentiation. The study highlighted the involvement of gene body 5hmC in modulating an extensive decoupling between promoter accessibility and transcription. The importance of 5hmC in chromatin remodeling was further demonstrated by the observed resistance of the developmentally acquired open loci to the global 5hmC erasure in neuronal progenitors.
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Affiliation(s)
- Kotryna Skardžiūtė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Kotryna Kvederavičiūtė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Inga Pečiulienė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Milda Narmontė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Povilas Gibas
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Janina Ličytė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Saulius Klimašauskas
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Edita Kriukienė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania.
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18
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Jiang Y, Chen J, Guo L, Lan Y, Li G, Liu Q, Li H, Deng F, Guo X, Wu S. Short-term effects of ambient gaseous air pollution on blood platelet mitochondrial DNA methylation and myocardial ischemia. ENVIRONMENT INTERNATIONAL 2024; 185:108533. [PMID: 38430585 DOI: 10.1016/j.envint.2024.108533] [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: 11/29/2023] [Revised: 02/14/2024] [Accepted: 02/23/2024] [Indexed: 03/04/2024]
Abstract
BACKGROUND The potential effects of short-term exposure to major ambient gaseous pollutants (ozone: O3, carbon monoxide: CO, and sulfur dioxide: SO2) on platelet mitochondrial DNA (mtDNA) methylation have been uncertain and no studies have examined whether platelet mtDNA methylation levels could modify the associations between ambient gaseous pollutants and the risks of ST-segment depression (STDE) and T-wave inversion events (TIE), two indicators of myocardial ischemia. METHODS This study used data from a randomized, double-blind, placebo-controlled intervention study with a standardized 24-hour exposure protocol among 110 participants in Beijing. Absolute changes in platelet mtDNA methylation (ACmtDNAm) levels were determined by two repeated measurements on platelet mtDNA methylation levels in blood samples collected before and after the 24-hour exposure period. A multivariable linear regression model and a generalized linear model with a Poisson link function were used to investigate the associations of ambient gaseous pollutants with platelet mtDNA methylation levels, STDE, and TIE, respectively. RESULTS Short-term O3 exposure was significantly associated with decreased ACmtDNAm at ATP6_P1 but increased ACmtDNAm at mt12sRNA, MT-COX1, and MT-COX1_P2; short-term CO and SO2 exposures were significantly associated with decreased ACmtDNAm at D-loop, MT-COX3- and ATP-related genes. Moreover, short-term O3 exposure was significantly associated with increased risks of STDE and TIE, and ACmtDNAm at MT-COX1 and MT-COX1_P2 modified the association between short-term O3 exposure and STDE events. L-Arg supplementation attenuated the effects of ambient gaseous pollutants, particularly O3, on ACmtDNAm and STDE. CONCLUSIONS Platelet mtDNA methylation levels are promising biomarkers of short-term exposure to ambient gaseous air pollution, and are likely implicated in the mechanism behind the association of ambient O3 pollution with adverse cardiovascular effects. L-Arg supplementation showed the potential to mitigate the adverse effects of ambient O3 pollution.
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Affiliation(s)
- Yunxing Jiang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
| | - Juan Chen
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
| | - Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Yang Lan
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
| | - Ge Li
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Shaanxi Provincial Institute for Endemic Disease Control, Xi'an, Shaanxi, China
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China
| | - Hongyu Li
- Department of Scientific Research, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China.
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19
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Giannini LAA, Boers RG, van der Ende EL, Poos JM, Jiskoot LC, Boers JB, van IJcken WFJ, Dopper EG, Pijnenburg YAL, Seelaar H, Meeter LH, van Rooij JGJ, Scheper W, Gribnau J, van Swieten JC. Distinctive cell-free DNA methylation characterizes presymptomatic genetic frontotemporal dementia. Ann Clin Transl Neurol 2024; 11:744-756. [PMID: 38481040 DOI: 10.1002/acn3.51997] [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: 09/29/2023] [Revised: 12/01/2023] [Accepted: 12/27/2023] [Indexed: 03/27/2024] Open
Abstract
OBJECTIVE Methylation of plasma cell-free DNA (cfDNA) has potential as a marker of brain damage in neurodegenerative diseases such as frontotemporal dementia (FTD). Here, we study methylation of cfDNA in presymptomatic and symptomatic carriers of genetic FTD pathogenic variants, next to healthy controls. METHODS cfDNA was isolated from cross-sectional plasma of 10 presymptomatic carriers (4 C9orf72, 4 GRN, and 2 MAPT), 10 symptomatic carriers (4 C9orf72, 4 GRN, and 2 MAPT), and 9 healthy controls. Genome-wide methylation of cfDNA was determined using a high-resolution sequencing technique (MeD-seq). Cumulative scores based on the identified differentially methylated regions (DMRs) were estimated for presymptomatic carriers (vs. controls and symptomatic carriers), and reevaluated in a validation cohort (8 presymptomatic: 3 C9orf72, 3 GRN, and 2 MAPT; 26 symptomatic: 7 C9orf72, 6 GRN, 12 MAPT, and 1 TARDBP; 13 noncarriers from genetic FTD families). RESULTS Presymptomatic carriers showed a distinctive methylation profile compared to healthy controls and symptomatic carriers. Cumulative DMR scores in presymptomatic carriers enabled to significantly differentiate presymptomatic carriers from healthy controls (p < 0.001) and symptomatic carriers (p < 0.001). In the validation cohort, these scores differentiated presymptomatic carriers from symptomatic carriers (p ≤ 0.007) only. Transcription-start-site methylation in presymptomatic carriers, generally associated with gene downregulation, was enriched for genes involved in ubiquitin-dependent processes, while gene body methylation, generally associated with gene upregulation, was enriched for genes involved in neuronal cell processes. INTERPRETATION A distinctive methylation profile of cfDNA characterizes the presymptomatic stage of genetic FTD, and could reflect neuronal death in this stage.
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Affiliation(s)
- Lucia A A Giannini
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ruben G Boers
- Department of Developmental Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Emma L van der Ende
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jackie M Poos
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lize C Jiskoot
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Joachim B Boers
- Department of Developmental Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Wilfred F J van IJcken
- Erasmus Center for Biomics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Elise G Dopper
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit, Amsterdam UMC location Vumc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Harro Seelaar
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lieke H Meeter
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jeroen G J van Rooij
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Wiep Scheper
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Functional Genomics, Center for Neurogenomics and Cognitive Research, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Human Genetics, Vrije Universiteit, Amsterdam UMC location Vumc, Amsterdam, The Netherlands
| | - Joost Gribnau
- Department of Developmental Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - John C van Swieten
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
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20
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Dairo O, DePaula Oliveira L, Schaffer E, Vidotto T, Mendes AA, Lu J, Huynh SV, Hicks J, Sowalsky AG, De Marzo AM, Joshu CE, Hanratty B, Sfanos KS, Isaacs WB, Haffner MC, Lotan TL. FASN Gene Methylation is Associated with Fatty Acid Synthase Expression and Clinical-genomic Features of Prostate Cancer. CANCER RESEARCH COMMUNICATIONS 2024; 4:152-163. [PMID: 38112617 PMCID: PMC10795515 DOI: 10.1158/2767-9764.crc-23-0248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 10/05/2023] [Accepted: 12/08/2023] [Indexed: 12/21/2023]
Abstract
Fatty acid synthase (FASN) catalyzes the synthesis of long-chain saturated fatty acids and is overexpressed during prostatic tumorigenesis, where it is the therapeutic target in several ongoing trials. However, the mechanism of FASN upregulation in prostate cancer remains unclear. Here, we examine FASN gene CpG methylation pattern by InfiniumEPIC profiling and whole-genome bisulfite sequencing across multiple racially diverse primary and metastatic prostate cancer cohorts, comparing with FASN protein expression as measured by digitally quantified IHC assay and reverse phase protein array analysis or FASN gene expression. We demonstrate that the FASN gene body is hypomethylated and overexpressed in primary prostate tumors compared with benign tissue, and FASN gene methylation is significantly inversely correlated with FASN protein or gene expression in both primary and metastatic prostate cancer. Primary prostate tumors with ERG gene rearrangement have increased FASN expression and we find evidence of FASN hypomethylation in this context. FASN expression is also significantly increased in prostate tumors from carriers of the germline HOXB13 G84E mutation compared with matched controls, consistent with a report that HOXB13 may contribute to epigenetic regulation of FASN in vitro. However, in contrast to previous studies, we find no significant association of FASN expression or methylation with self-identified race in models that include ERG status across two independent primary tumor cohorts. Taken together, these data support a potential epigenetic mechanism for FASN regulation in the prostate which may be relevant for selecting patients responsive to FASN inhibitors. SIGNIFICANCE Here, we leverage multiple independent primary and metastatic prostate cancer cohorts to demonstrate that FASN gene body methylation is highly inversely correlated with FASN gene and protein expression. This finding may shed light on epigenetic mechanisms of FASN regulation in prostate cancer and provides a potentially useful biomarker for selecting patients in future trials of FASN inhibitors.
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Affiliation(s)
- Oluwademilade Dairo
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | | | - Ethan Schaffer
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Thiago Vidotto
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Adrianna A. Mendes
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Jiayun Lu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Sophie Vo Huynh
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Jessica Hicks
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Adam G. Sowalsky
- Laboratory of Genitourinary Cancer Pathogenesis, NCI, Bethesda, Maryland
| | - Angelo M. De Marzo
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Corrine E. Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Brian Hanratty
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Karen S. Sfanos
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - William B. Isaacs
- Department of Urology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Michael C. Haffner
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Tamara L. Lotan
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland
- Department of Urology, Johns Hopkins School of Medicine, Baltimore, Maryland
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, Maryland
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21
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Lariviere D, Craig SJC, Paul IM, Hohman EE, Savage JS, Wright RO, Chiaromonte F, Makova KD, Reimherr ML. Methylation profiles at birth linked to early childhood obesity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.12.24301172. [PMID: 38260407 PMCID: PMC10802761 DOI: 10.1101/2024.01.12.24301172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Childhood obesity represents a significant global health concern and identifying risk factors is crucial for developing intervention programs. Many 'omics' factors associated with the risk of developing obesity have been identified, including genomic, microbiomic, and epigenomic factors. Here, using a sample of 48 infants, we investigated how the methylation profiles in cord blood and placenta at birth were associated with weight outcomes (specifically, conditional weight gain, body mass index, and weight-for-length ratio) at age six months. We characterized genome-wide DNA methylation profiles using the Illumina Infinium MethylationEpic chip, and incorporated information on child and maternal health, and various environmental factors into the analysis. We used regression analysis to identify genes with methylation profiles most predictive of infant weight outcomes, finding a total of 23 relevant genes in cord blood and 10 in placenta. Notably, in cord blood, the methylation profiles of three genes (PLIN4, UBE2F, and PPP1R16B) were associated with all three weight outcomes, which are also associated with weight outcomes in an independent cohort suggesting a strong relationship with weight trajectories in the first six months after birth. Additionally, we developed a Methylation Risk Score (MRS) that could be used to identify children most at risk for developing childhood obesity. While many of the genes identified by our analysis have been associated with weight-related traits (e.g., glucose metabolism, BMI, or hip-to-waist ratio) in previous genome-wide association and variant studies, our analysis implicated several others, whose involvement in the obesity phenotype should be evaluated in future functional investigations.
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Affiliation(s)
- Delphine Lariviere
- Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA
| | - Sarah J C Craig
- Department of Biology, Penn State University, University Park, PA
- Center for Medical Genomics, Penn State University, University Park, PA
| | - Ian M Paul
- Center for Medical Genomics, Penn State University, University Park, PA
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA
| | - Emily E Hohman
- Center for Childhood Obesity Research, Penn State University, University Park, PA
| | - Jennifer S Savage
- Center for Childhood Obesity Research, Penn State University, University Park, PA
- Nutrition Department, Penn State University, University Park, PA
| | | | - Francesca Chiaromonte
- Center for Medical Genomics, Penn State University, University Park, PA
- Department of Statistics, Penn State University, University Park, PA
- EMbeDS, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà, Pisa, Italy
| | - Kateryna D Makova
- Department of Biology, Penn State University, University Park, PA
- Center for Medical Genomics, Penn State University, University Park, PA
| | - Matthew L Reimherr
- Center for Medical Genomics, Penn State University, University Park, PA
- Department of Statistics, Penn State University, University Park, PA
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22
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Yu X, Yu K, Chen B, Liao Z, Liang J, Qin Z, Gao X. Metabolic and immune costs balance during natural acclimation of corals in fluctuating environments. MARINE ENVIRONMENTAL RESEARCH 2024; 193:106284. [PMID: 38048660 DOI: 10.1016/j.marenvres.2023.106284] [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: 09/22/2023] [Revised: 11/17/2023] [Accepted: 11/21/2023] [Indexed: 12/06/2023]
Abstract
Epigenetic modifications based on DNA methylation can rapidly improve the potential of corals to adapt to environmental pressures by increasing their phenotypic plasticity, a factor important for scleractinian corals to adapt to future global warming. However, the extent to which corals develop similar adaptive mechanisms and their specific adaptation processes remain unclear. Here, to reveal the regulatory mechanism by which DNA methylation improves thermal tolerance in Pocillopora damicornis under fluctuating environments, we analyzed genome-wide DNA methylation signatures in P. damicornis and compared the differences in the methylation and transcriptional responses of P. damicornis from fluctuating and stable environments using whole-genome bisulfite sequencing and nanopore-based RNA sequencingtranscriptome sequencing. We discovered low methylation levels in P. damicornis (average methylation 4.14%), with CpG accounting for 74.88%, CHH for 13.27%, and CHG for 11.85% of this methylation. However, methylation levels did not change between coral samples from the fluctuating and stable environments. The varied methylation levels in different regions of the gene revealed that the overall methylation level of the gene body was relatively high and showed a bimodal methylation pattern. Methylation occurs primarily in exons rather than introns within the gene body In P. damicornis, there was only a weak correlation between methylation and transcriptional changes at the individual gene level, and the methylation and gene expression levels generally exhibited a bell-shaped relationship, which we speculate may be due to the specificity of cnidarian species. Correlation analysis between methylation levels and the transcriptome revealed that the highest proportion of the top 20 enriched KEGG pathways was related to immunity. Additionally, P. damicornis collected from a high-temperature pool had a lower metabolic rate than those collected from a low-temperature pool. We hypothesize that the dynamic balance of energy-expenditure costs between immunity and metabolism is an important strategy for increasing P. damicornis tolerance. The fluctuating environment of high-temperature pools may increase the heat tolerance in corals by increasing their immunity and thus lowering their metabolism.
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Affiliation(s)
- Xiaopeng Yu
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, Nanning, China
| | - Kefu Yu
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, Nanning, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
| | - Biao Chen
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, Nanning, China
| | - Zhiheng Liao
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, Nanning, China
| | - Jiayuan Liang
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, Nanning, China
| | - Zhenjun Qin
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, Nanning, China
| | - Xu Gao
- Guangxi University of Chinese Medicine, Nanning, Guangxi, China
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23
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Somers EC, Goodrich JM, Wang L, Harlow SD, Marder W, Hassett AL, Zick SM, McCune WJ, Gordon C, Barbour KE, Helmick CG, Strickland FM. Associations between CD70 methylation of T cell DNA and age in adults with systemic lupus erythematosus and population controls: The Michigan Lupus Epidemiology & Surveillance (MILES) Program. J Autoimmun 2024; 142:103137. [PMID: 38064919 PMCID: PMC10957300 DOI: 10.1016/j.jaut.2023.103137] [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: 09/20/2023] [Accepted: 10/18/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Environmental factors can influence epigenetic regulation, including DNA methylation, potentially contributing to systemic lupus erythematosus (SLE) development and progression. We compared methylation of the B cell costimulatory CD70 gene, in persons with lupus and controls, and characterized associations with age. RESULTS In 297 adults with SLE and 92 controls from the Michigan Lupus Epidemiology and Surveillance (MILES) Cohort, average CD70 methylation of CD4+ T cell DNA across 10 CpG sites based on pyrosequencing of the promoter region was higher for persons with SLE compared to controls, accounting for covariates [β = 2.3, p = 0.011]. Using Infinium MethylationEPIC array data at 18 CD70-annoted loci (CD4+ and CD8+ T cell DNA), sites within the promoter region tended to be hypomethylated in SLE, while those within the gene region were hypermethylated. In SLE but not controls, age was significantly associated with pyrosequencing-based CD70 methylation: for every year increase in age, methylation increased by 0.14 percentage points in SLE, accounting for covariates. Also within SLE, CD70 methylation approached a significantly higher level in Black persons compared to White persons (β = 1.8, p = 0.051). CONCLUSIONS We describe altered CD70 methylation patterns in T lymphocyte subsets in adults with SLE relative to controls, and report associations particular to SLE between methylation of this immune-relevant gene and both age and race, possibly a consequence of "weathering" or accelerated aging which may have implications for SLE pathogenesis and potential intervention strategies.
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Affiliation(s)
- Emily C Somers
- University of Michigan, Department of Internal Medicine, Ann Arbor, MI, USA; University of Michigan, Department of Environmental Health Sciences, Ann Arbor, MI, USA; University of Michigan, Department of Obstetrics & Gynecology, Ann Arbor, MI, USA.
| | - Jaclyn M Goodrich
- University of Michigan, Department of Environmental Health Sciences, Ann Arbor, MI, USA
| | - Lu Wang
- University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA
| | - Sioban D Harlow
- University of Michigan, Department of Epidemiology, Ann Arbor, MI, USA
| | - Wendy Marder
- University of Michigan, Department of Internal Medicine, Ann Arbor, MI, USA; University of Michigan, Department of Obstetrics & Gynecology, Ann Arbor, MI, USA
| | - Afton L Hassett
- University of Michigan, Department of Anesthesiology, Ann Arbor, MI, USA
| | - Suzanna M Zick
- University of Michigan, Department of Family Medicine, Ann Arbor, MI, USA
| | - W Joseph McCune
- University of Michigan, Department of Internal Medicine, Ann Arbor, MI, USA
| | - Caroline Gordon
- University of Birmingham, Rheumatology Research Group, Institute of Inflammation and Ageing, Birmingham, UK
| | - Kamil E Barbour
- Centers for Disease Control and Prevention, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA, USA
| | - Charles G Helmick
- Centers for Disease Control and Prevention, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA, USA
| | - Faith M Strickland
- University of Michigan, Department of Internal Medicine, Ann Arbor, MI, USA
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24
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Chatterjee K, Mal S, Ghosh M, Chattopadhyay NR, Roy SD, Chakraborty K, Mukherjee S, Aier M, Choudhuri T. Blood-based DNA methylation in advanced Nasopharyngeal Carcinoma exhibited distinct CpG methylation signature. Sci Rep 2023; 13:22086. [PMID: 38086861 PMCID: PMC10716134 DOI: 10.1038/s41598-023-45001-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 10/14/2023] [Indexed: 12/18/2023] Open
Abstract
The TNM staging system is currently used to detect cancer stages. Regardless, a small proportion of cancer patients recur even after therapy, suggesting more specific molecular tools are required to justify the stage-specific detection and prompt cancer diagnosis. Thus, we aimed to explore the blood-based DNA methylation signature of metastatic nasopharyngeal carcinoma (NPC) to establish a holistic methylation biomarker panel. For the identification of methylation signature, the EPIC BeadChip-based array was performed. Comparative analysis for identifying unique probes, validation, and functional studies was investigated by analyzing GEO and TCGA datasets. We observed 4093 differentially methylated probes (DMPs), 1232 hydroxymethylated probes, and 25 CpG islands. Gene expression study revealed both upregulated and downregulated genes. Correlation analysis suggested a positive (with a positive r, p ≤ 0.05) and negative (with a negative r, p ≤ 0.05) association with different cancers. TFBS analysis exhibited the binding site for many TFs. Furthermore, gene enrichment analysis indicated the involvement of those identified genes in biological pathways. However, blood-based DNA methylation data uncovered a distinct DNA methylation pattern, which might have an additive role in NPC progression by altering the TFs binding. Moreover, based on tissue-specificity, a variation of correlation between methylation and gene expression was noted in different cancers.
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Affiliation(s)
- Koustav Chatterjee
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | - Sudipa Mal
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | - Monalisha Ghosh
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | | | - Sankar Deb Roy
- Department of Radiation Oncology, Eden Medical Center, Dimapur, Nagaland, India
| | - Koushik Chakraborty
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | - Syamantak Mukherjee
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | - Moatoshi Aier
- Department of Pathology, Eden Medical Center, Dimapur, Nagaland, India
| | - Tathagata Choudhuri
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235.
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Li M, Yin Y, Zhang M, Jiang C, Li H, Yang R. DNA Methylation Status of HYAL1 in Malignant and Benign Thyroid Nodules. Horm Metab Res 2023; 55:869-875. [PMID: 38040022 DOI: 10.1055/a-2188-0050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2023]
Abstract
Differentiation between benign and malignant thyroid nodules has been a challenge in clinical practice. Exploring a novel biomarker to determine the malignancy of thyroid nodules has important implications. We semi-quantitatively determined the DNA methylation levels of four CpG sites located at the gene body of HYAL1 in formalin-fixed paraffin-embedded (FFPE) tissue samples from 190 early-stage papillary thyroid cancer (PTC) cases and 190 age- and gender-matched subjects with benign thyroid nodule (BTN). HYAL1 expression was evaluated by immunohistochemical (IHC) staining in another cohort of 55 PTC and 55 matched BTN cases. Covariates-adjusted odds ratios (ORs) for 10% increased methylation were calculated by binary logistic regression. A 165 bp amplicon covering four CpG sites at the second exon of HYAL1 gene was designed. After adjusted for all covariates, higher methylation level of HYAL1_CpG_3,4 in the FFPE tissue was associated with PTC (OR per 10% increased methylation=1.53, p=0.025), even with stage І PTC (OR per 10% increased methylation=1.58, p=0.021). Hypermethylation of HYAL1_CpG_3,4 had a significant association with early-stage PTC in the females (OR per 10% increased methylation=1.60, p=0.028) rather than in the males. Besides, we found the higher expression of HYAL1 protein in PTC than that in BTN patients (IHC score: 2.3 vs. 0.5, p=1.00E-06). Our study suggested altered methylation and expression of HYAL1 could be a novel and potential biomarker in distinguishing malignant and benign thyroid nodules.
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Affiliation(s)
- Mengxia Li
- Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China
| | - Yifei Yin
- Department of Thyroid and Breast Surgery, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huai'an, China
| | - Minmin Zhang
- Department of Thyroid and Breast Surgery, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huai'an, China
| | - Chenxia Jiang
- Department of Pathology, Nantong University Affiliated Hospital, Nantong, China
| | - Hong Li
- Department of Pathology, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huai'an, China
| | - Rongxi Yang
- Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China
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26
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Shen X, Yan H, Li W, Zhou H, Wang J, Zhang Q, Zhang L, Liu Q, Liu Y. Estrodiol-17β and aromatase inhibitor treatment induced alternations of genome-wide DNA methylation pattern in Takifugu rubripes gonads. Gene 2023; 882:147641. [PMID: 37460000 DOI: 10.1016/j.gene.2023.147641] [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: 03/27/2023] [Revised: 05/12/2023] [Accepted: 07/12/2023] [Indexed: 07/28/2023]
Abstract
Estradiol-17β (E2) and aromatase inhibitor (AI) exposure can change the phenotypic sex of fish gonads. To investigated whether alterations in DNA methylation is involved in this process, the level of genome-wide DNA methylation in Takifugu rubripes gonads was quantitatively analyzed during the E2-induced feminization and AI-induced masculinization processes in this study. The methylation levels of the total cytosine (C) in control-XX(C-XX), control-XY (C-XY), E2-treated-XY (E-XY) and AI-treated-XX (AI-XX) were 9.11%, 9.19%, 8.63% and 9.23%, respectively. In the C-XX vs C-XY comparison, 4,196 differentially methylated regions (DMRs) overlapped with the gene body of 2,497 genes and 608 DMRs overlapped with the promoter of 575 genes. In the E-XY vs C-XY comparison, 6,539 DMRs overlapped with the gene body of 3,416 genes and 856 DMRs overlapped with the promoter of 776 genes. In the AI-XX vs C-XX comparison, 2,843 DMRs overlapped with the gene body of 1,831 genes and 461 DMRs overlapped with the promoter of 421 genes. Gonadal genomic methylation mainly occurred at CG sites and the genes that overlapped with DMRs on CG context were most enriched in the signaling pathways related to gonad differentiation, such as the Wnt, TGF-β, MAPK, CAM and GnRH pathways. The DNA methylation levels of steroid synthesis genes and estrogen receptor genes promoter or gene body were negative correlated with their expression. After bisulfite sequencing verification, the DNA methylation level of the amhr2 promoter in XY was increased after E2 treatment, which consistent with the data from the genome-wide DNA methylation sequencing. In C-XY group, the expression of amhr2 was significantly higher than that in E-XY (p < 0.05). Additionally, dnmt1, which is responsible for methylation maintenance, expressed at similar level in four groups (p > 0.05). dnmt3, tet2, and setd1b, which were responsible for methylation modification, expressed at significantly higher levels in E-XY compared to the C-XY (p < 0.05). Dnmt3 and tet2 were expressed at significantly higher levels in AI-XX than that in C-XX (p < 0.05). These results indicated that E2 and AI treatment lead to the aberrant genome-wide DNA methylation level and expression level of dnmt3, tet2, and setd1b in T. rubripes gonad.
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Affiliation(s)
- Xufang Shen
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China; College of Life Sciences, Liaoning Normal University, Dalian, Liaoning 116029, China
| | - Hongwei Yan
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China; College of Fisheries and Life Science, Dalian Ocean University, Dalian, Liaoning 116023, China; Key Laboratory of Pufferfish Breeding and Culture in Liaoning Province, Dalian Ocean University, 116023 Dalian, Liaoning, China.
| | - Weiyuan Li
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China; College of Marine Science and Environment Engineering, Dalian Ocean University, 116023 Dalian, Liaoning, China; Key Laboratory of Pufferfish Breeding and Culture in Liaoning Province, Dalian Ocean University, 116023 Dalian, Liaoning, China
| | - Huiting Zhou
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China; College of Fisheries and Life Science, Dalian Ocean University, Dalian, Liaoning 116023, China; Key Laboratory of Pufferfish Breeding and Culture in Liaoning Province, Dalian Ocean University, 116023 Dalian, Liaoning, China
| | - Jia Wang
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China; College of Fisheries and Life Science, Dalian Ocean University, Dalian, Liaoning 116023, China; Key Laboratory of Pufferfish Breeding and Culture in Liaoning Province, Dalian Ocean University, 116023 Dalian, Liaoning, China
| | - Qi Zhang
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China; College of Fisheries and Life Science, Dalian Ocean University, Dalian, Liaoning 116023, China; Key Laboratory of Pufferfish Breeding and Culture in Liaoning Province, Dalian Ocean University, 116023 Dalian, Liaoning, China
| | - Lei Zhang
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China; College of Marine Science and Environment Engineering, Dalian Ocean University, 116023 Dalian, Liaoning, China
| | - Qi Liu
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China; College of Marine Science and Environment Engineering, Dalian Ocean University, 116023 Dalian, Liaoning, China; Key Laboratory of Pufferfish Breeding and Culture in Liaoning Province, Dalian Ocean University, 116023 Dalian, Liaoning, China.
| | - Ying Liu
- Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education, 116023, China
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Semik-Gurgul E, Szmatoła T, Gurgul A, Pawlina-Tyszko K, Gałuszka A, Pędziwiatr R, Witkowski M, Ząbek T. Methylome and transcriptome data integration reveals aberrantly regulated genes in equine sarcoids. Biochimie 2023; 213:100-113. [PMID: 37211255 DOI: 10.1016/j.biochi.2023.05.008] [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: 03/27/2023] [Revised: 05/08/2023] [Accepted: 05/15/2023] [Indexed: 05/23/2023]
Abstract
DNA methylation is a key mechanism in transcription regulation, and aberrant methylation is a common and important mechanism in tumor initiation, maintenance, and progression. To find genes that are aberrantly regulated by altered methylation in horse sarcoids, we used reduced representation bisulfite sequencing (RRBS) accompanied by RNA sequencing (RNA-Seq) for methylome (whole genome DNA methylation sequencing) and transcriptome profiling, respectively. We found that the DNA methylation level was generally lower in lesion samples than in controls. In the analyzed samples, a total of 14,692 differentially methylated sites (DMSs) in the context of CpG (where cytosine and guanine are separated by a phosphate), and 11,712 differentially expressed genes (DEGs) were identified. The integration of the methylome and transcriptome data suggests that aberrant DNA methylation may be involved in the deregulation of expression of the 493 genes in equine sarcoid. Furthermore, enrichment analysis of the genes demonstrated the activation of multiple molecular pathways related to extracellular matrix (ECM), oxidative phosphorylation (OXPHOS), immune response, and disease processes that can be related to tumor progression. The results provide further insight into the epigenetic alterations in equine sarcoids and provide a valuable resource for follow-up studies to identify biomarkers for predicting susceptibility to this common condition in horses.
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Affiliation(s)
- Ewelina Semik-Gurgul
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St., 32-083, Balice, Poland.
| | - Tomasz Szmatoła
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St., 32-083, Balice, Poland; Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Redzina 1c, 30-248, Krakow, Poland
| | - Artur Gurgul
- Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Redzina 1c, 30-248, Krakow, Poland
| | - Klaudia Pawlina-Tyszko
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St., 32-083, Balice, Poland
| | - Anna Gałuszka
- Department of Animal Anatomy and Preclinical Sciences, University Centre of Veterinary Medicine JU-UA, University of Agriculture in Krakow, Mickiewicza 24/28, 30-059, Krakow, Poland
| | - Rafał Pędziwiatr
- University Centre of Veterinary Medicine JU-UA, University of Agriculture in Krakow, Mickiewicza 24/28, 30-059, Krakow, Poland; Equine Vet Clinic EQUI-VET, Stogniowice 55A St., 32-100 Stogniowice, Poland
| | - Maciej Witkowski
- University Centre of Veterinary Medicine JU-UA, University of Agriculture in Krakow, Mickiewicza 24/28, 30-059, Krakow, Poland; Equine Hospital on the Racing Truck, Sluzewiec, Pulawska 266, 02-684, Warszawa, Poland
| | - Tomasz Ząbek
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1 St., 32-083, Balice, Poland
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Budeus B, Unger K, Hess J, Sentek H, Klein D. Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts. Front Immunol 2023; 14:1270493. [PMID: 37822926 PMCID: PMC10562561 DOI: 10.3389/fimmu.2023.1270493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/30/2023] [Indexed: 10/13/2023] Open
Abstract
Introduction Mesenchymal stem cells (MSCs) are considered to be the most promising stem cell type for cell-based therapies in regenerative medicine. Based on their potential to home to diseased body sites following a therapeutically application, these cells could (i) differentiate then into organ-specific cell types to locally restore injured cells or, most prominently, (ii) foster tissue regeneration including immune modulations more indirectly by secretion of protective growth factors and cytokines. As tissue-resident stem cells of mesenchymal origin, these cells are morphologically and even molecularly- at least concerning the classical marker genes- indistinguishable from similar lineage cells, particularly fibroblasts. Methods Here we used microarray-based gene expression and global DNA methylation analyses as well as accompanying computational tools in order to specify differences between MSCs and fibroblasts, to further unravel potential identity genes and to highlight MSC signaling pathways with regard to their trophic and immunosuppressive action. Results We identified 1352 differentially expressed genes, of which in the MSCs there is a strong signature for e.g., KRAS signaling, known to play essential role in stemness maintenance, regulation of coagulation and complement being decisive for resolving inflammatory processes, as well as of wound healing particularly important for their regenerative capacity. Genes upregulated in fibroblasts addressed predominately transcription and biosynthetic processes and mapped morphological features of the tissue. Concerning the cellular identity, we specified the already known HOX code for MSCs, established a potential HOX code for fibroblasts, and linked certain HOX genes to functional cell-type-specific properties. Accompanied methylation profiles revealed numerous regions, especially in HOX genes, being differentially methylated, which might provide additional biomarker potential. Discussion Conclusively, transcriptomic together with epigenetic signatures can be successfully be used for the definition (cellular identity) of MSCs versus fibroblasts as well as for the determination of the superior functional properties of MSCs, such as their immunomodulatory potential.
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Affiliation(s)
- Bettina Budeus
- Institute for Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Kristian Unger
- Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
- Clinical Cooperation Group Personalized Radiotherapy in Head and Neck Cancer, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Julia Hess
- Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
- Clinical Cooperation Group Personalized Radiotherapy in Head and Neck Cancer, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany
| | - Hanna Sentek
- Institute for Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Diana Klein
- Institute for Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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29
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Itai Y, Rappoport N, Shamir R. Integration of gene expression and DNA methylation data across different experiments. Nucleic Acids Res 2023; 51:7762-7776. [PMID: 37395437 PMCID: PMC10450176 DOI: 10.1093/nar/gkad566] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 06/04/2023] [Accepted: 06/21/2023] [Indexed: 07/04/2023] Open
Abstract
Integrative analysis of multi-omic datasets has proven to be extremely valuable in cancer research and precision medicine. However, obtaining multimodal data from the same samples is often difficult. Integrating multiple datasets of different omics remains a challenge, with only a few available algorithms developed to solve it. Here, we present INTEND (IntegratioN of Transcriptomic and EpigeNomic Data), a novel algorithm for integrating gene expression and DNA methylation datasets covering disjoint sets of samples. To enable integration, INTEND learns a predictive model between the two omics by training on multi-omic data measured on the same set of samples. In comprehensive testing on 11 TCGA (The Cancer Genome Atlas) cancer datasets spanning 4329 patients, INTEND achieves significantly superior results compared with four state-of-the-art integration algorithms. We also demonstrate INTEND's ability to uncover connections between DNA methylation and the regulation of gene expression in the joint analysis of two lung adenocarcinoma single-omic datasets from different sources. INTEND's data-driven approach makes it a valuable multi-omic data integration tool. The code for INTEND is available at https://github.com/Shamir-Lab/INTEND.
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Affiliation(s)
- Yonatan Itai
- Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel
| | - Nimrod Rappoport
- Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel
| | - Ron Shamir
- Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel
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30
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Ohnmacht AJ, Rajamani A, Avar G, Kutkaite G, Gonçalves E, Saur D, Menden MP. The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity. Commun Biol 2023; 6:825. [PMID: 37558831 PMCID: PMC10412573 DOI: 10.1038/s42003-023-05198-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 08/01/2023] [Indexed: 08/11/2023] Open
Abstract
Aberrant DNA methylation accompanies genetic alterations during oncogenesis and tumour homeostasis and contributes to the transcriptional deregulation of key signalling pathways in cancer. Despite increasing efforts in DNA methylation profiling of cancer patients, there is still a lack of epigenetic biomarkers to predict treatment efficacy. To address this, we analyse 721 cancer cell lines across 22 cancer types treated with 453 anti-cancer compounds. We systematically detect the predictive component of DNA methylation in the context of transcriptional and mutational patterns, i.e., in total 19 DNA methylation biomarkers across 17 drugs and five cancer types. DNA methylation constitutes drug sensitivity biomarkers by mediating the expression of proximal genes, thereby enhancing biological signals across multi-omics data modalities. Our method reproduces anticipated associations, and in addition, we find that the NEK9 promoter hypermethylation may confer sensitivity to the NEDD8-activating enzyme (NAE) inhibitor pevonedistat in melanoma through downregulation of NEK9. In summary, we envision that epigenomics will refine existing patient stratification, thus empowering the next generation of precision oncology.
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Affiliation(s)
- Alexander Joschua Ohnmacht
- Computational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany
- Department of Biology, Ludwig-Maximilians University Munich, 82152, Martinsried, Germany
| | - Anantharamanan Rajamani
- Division of Translational Cancer Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Chair of Translational Cancer Research and Institute of Experimental Cancer Therapy, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Göksu Avar
- Computational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany
- Department of Biology, Ludwig-Maximilians University Munich, 82152, Martinsried, Germany
| | - Ginte Kutkaite
- Computational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany
- Department of Biology, Ludwig-Maximilians University Munich, 82152, Martinsried, Germany
| | - Emanuel Gonçalves
- Instituto Superior Técnico (IST), Universidade de Lisboa, 1049-001, Lisbon, Portugal
- INESC-ID, 1000-029, Lisbon, Portugal
| | - Dieter Saur
- Division of Translational Cancer Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Chair of Translational Cancer Research and Institute of Experimental Cancer Therapy, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Michael Patrick Menden
- Computational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
- Department of Biology, Ludwig-Maximilians University Munich, 82152, Martinsried, Germany.
- Department of Biochemistry and Pharmacology, University of Melbourne, Victoria, VIC, 3010, Australia.
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31
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Lo EKW, Velazquez JJ, Peng D, Kwon C, Ebrahimkhani MR, Cahan P. Platform-agnostic CellNet enables cross-study analysis of cell fate engineering protocols. Stem Cell Reports 2023; 18:1721-1742. [PMID: 37478860 PMCID: PMC10444577 DOI: 10.1016/j.stemcr.2023.06.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 06/16/2023] [Accepted: 06/17/2023] [Indexed: 07/23/2023] Open
Abstract
Optimization of cell engineering protocols requires standard, comprehensive quality metrics. We previously developed CellNet, a computational tool to quantitatively assess the transcriptional fidelity of engineered cells compared with their natural counterparts, based on bulk-derived expression profiles. However, this platform and others were limited in their ability to compare data from different sources, and no current tool makes it easy to compare new protocols with existing state-of-the-art protocols in a standardized manner. Here, we utilized our prior application of the top-scoring pair transformation to build a computational platform, platform-agnostic CellNet (PACNet), to address both shortcomings. To demonstrate the utility of PACNet, we applied it to thousands of samples from over 100 studies that describe dozens of protocols designed to produce seven distinct cell types. We performed an in-depth examination of hepatocyte and cardiomyocyte protocols to identify the best-performing methods, characterize the extent of intra-protocol and inter-lab variation, and identify common off-target signatures, including a surprising neural/neuroendocrine signature in primary liver-derived organoids. We have made PACNet available as an easy-to-use web application, allowing users to assess their protocols relative to our database of reference engineered samples, and as open-source, extensible code.
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Affiliation(s)
- Emily K W Lo
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Jeremy J Velazquez
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Da Peng
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Chulan Kwon
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Mo R Ebrahimkhani
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Patrick Cahan
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.
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32
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Sun JM, Chow WY, Xu G, Hicks MJ, Nakka M, Shen J, Ng PKS, Taylor AM, Yu A, Farrar JE, Barkauskas DA, Gorlick R, Guidry Auvil JM, Gerhard D, Meltzer P, Guerra R, Man TK, Lau CC. The Role of FAS Receptor Methylation in Osteosarcoma Metastasis. Int J Mol Sci 2023; 24:12155. [PMID: 37569529 PMCID: PMC10418590 DOI: 10.3390/ijms241512155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
Osteosarcoma is the most frequent primary malignant bone tumor with an annual incidence of about 400 cases in the United States. Osteosarcoma primarily metastasizes to the lungs, where FAS ligand (FASL) is constitutively expressed. The interaction of FASL and its cell surface receptor, FAS, triggers apoptosis in normal cells; however, this function is altered in cancer cells. DNA methylation has previously been explored as a mechanism for altering FAS expression, but no variability was identified in the CpG island (CGI) overlapping the promoter. Analysis of an expanded region, including CGI shores and shelves, revealed high variability in the methylation of certain CpG sites that correlated significantly with FAS mRNA expression in a negative manner. Bisulfite sequencing revealed additional CpG sites, which were highly methylated in the metastatic LM7 cell line but unmethylated in its parental non-metastatic SaOS-2 cell line. Treatment with the demethylating agent, 5-azacytidine, resulted in a loss of methylation in CpG sites located within the FAS promoter and restored FAS protein expression in LM7 cells, resulting in reduced migration. Orthotopic implantation of 5-azacytidine treated LM7 cells into severe combined immunodeficient mice led to decreased lung metastases. These results suggest that DNA methylation of CGI shore sites may regulate FAS expression and constitute a potential target for osteosarcoma therapy, utilizing demethylating agents currently approved for the treatment of other cancers.
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Affiliation(s)
- Jiayi M. Sun
- Program of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; (J.M.S.); (A.M.T.); (T.-K.M.)
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
| | - Wing-Yuk Chow
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
- Texas Children’s Cancer and Hematology Center, Houston, TX 77030, USA
| | - Gufeng Xu
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
- Texas Children’s Cancer and Hematology Center, Houston, TX 77030, USA
| | - M. John Hicks
- Department of Pathology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Manjula Nakka
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
- Texas Children’s Cancer and Hematology Center, Houston, TX 77030, USA
| | - Jianhe Shen
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
- Texas Children’s Cancer and Hematology Center, Houston, TX 77030, USA
| | | | - Aaron M. Taylor
- Program of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; (J.M.S.); (A.M.T.); (T.-K.M.)
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA;
| | - Alexander Yu
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
- Texas Children’s Cancer and Hematology Center, Houston, TX 77030, USA
| | - Jason E. Farrar
- Arkansas Children’s Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Donald A. Barkauskas
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA;
| | - Richard Gorlick
- Division of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Jaime M. Guidry Auvil
- Office of Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA; (J.M.G.A.)
| | - Daniela Gerhard
- Office of Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA; (J.M.G.A.)
| | - Paul Meltzer
- Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Rudy Guerra
- Department of Statistics, Rice University, Houston, TX 77005, USA;
| | - Tsz-Kwong Man
- Program of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; (J.M.S.); (A.M.T.); (T.-K.M.)
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
- Texas Children’s Cancer and Hematology Center, Houston, TX 77030, USA
| | - Ching C. Lau
- Program of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; (J.M.S.); (A.M.T.); (T.-K.M.)
- Department of Pediatrics-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (W.-Y.C.); (G.X.); (M.N.); (J.S.); (A.Y.)
- Texas Children’s Cancer and Hematology Center, Houston, TX 77030, USA
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA;
- Center for Cancer and Blood Disorders, Connecticut Children’s Medical Center, Hartford, CT 06106, USA
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Setiawan A, Anwar R, Syamsunarno MRAA, Mose JC, Santoso B, Maskoen AM, Permadi W, Setiabudiawan B, Dhamayanti M, Hidayat YM. Epigenetic Regulation Interplays with Endometriosis Pathogenesis in Low-Birth-Weight Patients via the Progesterone Receptor B-VEGF-DNMT1 Axis. Diagnostics (Basel) 2023; 13:2085. [PMID: 37370979 DOI: 10.3390/diagnostics13122085] [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: 04/05/2023] [Revised: 06/04/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Low birth weight (LBW) is a risk factor associated with endometriosis. Our study aimed to analyze the risk of endometriosis in women with a LBW history and the relationships of progesterone receptor B (PR-B) gene promoter methylation, DNA methyltransferase-1 (DNMT1) expression, PR-B expression, and vascular endothelial growth factors (VEGF) with endometriosis. METHODS This study was conducted in two stages, a retrospective case-control design and a cross-sectional design, with 52 cases of endometriosis and 30 controls, which were further subdivided into LBW and non-LBW groups, at Hasan Sadikin General Hospital and its hospital networks from October 2017 to August 2021. Menstrual blood was taken from subjects and analyzed using pyrosequencing techniques to assess DNA methylation, while q-RT PCR was used to assess gene expression. RESULTS There were significant differences in PR-B methylation, DNMT1 expression, PR-B expression, and VEGF expression (p < 0.001) between the case and control groups. There was a significant negative correlation between PR-B methylation and PR-B expression (r = -0.558; p = 0.047). Based on a multiple logistic analysis, the most dominant factor affecting endometriosis incidence is PR-B (OR 10.40, 95% CI 3.24-33.4, R2 = 45.8). We found that patients with a low birth weight history had a 1.41-times-higher risk of developing endometriosis (95% CI 0.57-3.49, p = 0.113), although the relationship was not statistically significant. CONCLUSION Endometriosis is associated with PR-B gene promoter hypermethylation, decreased PR-B expression, and increased DNMT1 and VEGF expression. The methylation of PR-B is the most dominant factor affecting endometriosis incidence.
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Affiliation(s)
- Arief Setiawan
- Endocrinology Reproduction and Fertilisation Division, Department of Obstetrics and Gynaecology, Hasan Sadikin Hospital, Bandung 40161, Indonesia
| | - Ruswana Anwar
- Endocrinology Reproduction and Fertilisation Division, Department of Obstetrics and Gynaecology, Hasan Sadikin Hospital, Bandung 40161, Indonesia
| | | | | | - Budi Santoso
- Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
| | | | - Wiryawan Permadi
- Endocrinology Reproduction and Fertilisation Division, Department of Obstetrics and Gynaecology, Hasan Sadikin Hospital, Bandung 40161, Indonesia
| | | | - Meita Dhamayanti
- Faculty of Medicine, Universitas Padjadjaran, Bandung 40161, Indonesia
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34
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Deng Q, Du Y, Wang Z, Chen Y, Wang J, Liang H, Zhang D. Identification and validation of a DNA methylation-driven gene-based prognostic model for clear cell renal cell carcinoma. BMC Genomics 2023; 24:307. [PMID: 37286941 DOI: 10.1186/s12864-023-09416-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/30/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND Clear cell renal cell carcinoma (ccRCC) is a malignant tumor with heterogeneous morphology and poor prognosis. This study aimed to establish a DNA methylation (DNAm)-driven gene-based prognostic model for ccRCC. METHODS Reduced representation bisulfite sequencing (RRBS) was performed on the DNA extracts from ccRCC patients. We analyzed the RRBS data from 10 pairs of patient samples to screen the candidate CpG sites, then trained and validated an 18-CpG site model, and integrated the clinical characters to establish a Nomogram model for the prognosis or risk evaluation of ccRCC. RESULTS We identified 2261 DMRs in the promoter region. After DMR selection, 578 candidates were screened, and was correspondence with 408 CpG dinucleotides in the 450 K array. We collected the DNAm profiles of 478 ccRCC samples from TCGA dataset. Using the training set with 319 samples, a prognostic panel of 18 CpGs was determined by univariate Cox regression, LASSO regression, and multivariate Cox proportional hazards regression analyses. We constructed a prognostic model by combining the clinical signatures. In the test set (159 samples) and whole set (478 samples), the Kaplan-Meier plot showed significant differences; and the ROC curve and survival analyses showed AUC greater than 0.7. The Nomogram integrated with clinicopathological characters and methylation risk score had better performance, and the decision curve analyses also showed a beneficial effect. CONCLUSIONS This work provides insight into the role of hypermethylation in ccRCC. The targets identified might serve as biomarkers for early ccRCC diagnosis and prognosis biomarkers for ccRCC. We believe our findings have implications for better risk stratification and personalized management of this disease.
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Affiliation(s)
- Qiong Deng
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, 518109, China
- College of Basic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Ye Du
- Central Laboratory, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, 518109, China
| | - Zhu Wang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, 518109, China
| | - Yeda Chen
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, 518109, China
| | - Jieyan Wang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, 518109, China
| | - Hui Liang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, 518109, China
| | - Du Zhang
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, No 7, Pengfei Road, Dapeng New District, Shenzhen, 518120, China.
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35
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Lau BT, Almeda A, Schauer M, McNamara M, Bai X, Meng Q, Partha M, Grimes SM, Lee H, Heestand GM, Ji HP. Single-molecule methylation profiles of cell-free DNA in cancer with nanopore sequencing. Genome Med 2023; 15:33. [PMID: 37138315 PMCID: PMC10155347 DOI: 10.1186/s13073-023-01178-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 04/04/2023] [Indexed: 05/05/2023] Open
Abstract
Epigenetic characterization of cell-free DNA (cfDNA) is an emerging approach for detecting and characterizing diseases such as cancer. We developed a strategy using nanopore-based single-molecule sequencing to measure cfDNA methylomes. This approach generated up to 200 million reads for a single cfDNA sample from cancer patients, an order of magnitude improvement over existing nanopore sequencing methods. We developed a single-molecule classifier to determine whether individual reads originated from a tumor or immune cells. Leveraging methylomes of matched tumors and immune cells, we characterized cfDNA methylomes of cancer patients for longitudinal monitoring during treatment.
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Affiliation(s)
- Billy T Lau
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Alison Almeda
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Marie Schauer
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Madeline McNamara
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Xiangqi Bai
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Qingxi Meng
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | - Mira Partha
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | - Susan M Grimes
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - HoJoon Lee
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Gregory M Heestand
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Hanlee P Ji
- Division of Oncology, Department of Medicine, Stanford School of Medicine, Stanford, CA, USA.
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
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Xie J, Herr S, Ma D, Wu S, Zhao H, Sun S, Ma Z, Chan MYL, Li K, Yang Y, Huang F, Shi R, Yuan C. Acute Transcriptomic and Epigenetic Alterations at T12 After Rat T10 Spinal Cord Contusive Injury. Mol Neurobiol 2023; 60:2937-2953. [PMID: 36750527 DOI: 10.1007/s12035-023-03250-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 01/19/2023] [Indexed: 02/09/2023]
Abstract
Spinal cord injury is a severely debilitating condition affecting a significant population in the USA. Spinal cord injury patients often have increased risk of developing persistent neuropathic pain and other neurodegenerative conditions beyond the primary lesion center later in their life. The molecular mechanism conferring to the "latent" damages at distal tissues, however, remains elusive. Here, we studied molecular changes conferring abnormal functionality at distal spinal cord (T12) beyond the lesion center (T10) by combining next-generation sequencing (RNA- and bisulfite sequencing), super-resolution microscopy, and immunofluorescence staining at 7 days post injury. We observed significant transcriptomic changes primarily enriched in neuroinflammation and synaptogenesis associated pathways. Transcription factors (TFs) that regulate neurogenesis and neuron plasticity, including Egr1, Klf4, and Myc, are significantly upregulated. Along with global changes in chromatin arrangements and DNA methylation, including 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), bisulfite sequencing further reveals the involvement of DNA methylation changes in regulating cytokine, growth factor, and ion channel expression. Collectively, our results pave the way towards understanding transcriptomic and epigenomic mechanism in conferring long-term disease risks at distal tissues away from the primary lesion center and shed light on potential molecular targets that govern the regulatory mechanism at distal spinal cord tissues.
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Affiliation(s)
- Junkai Xie
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Seth Herr
- Center for Paralysis Research, Purdue University, West Lafayette, IN, USA
- Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, USA
| | - Donghan Ma
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Shichen Wu
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Han Zhao
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Siyuan Sun
- Center for Paralysis Research, Purdue University, West Lafayette, IN, USA
- Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, USA
| | - Zhixiong Ma
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Matthew Yan-Lok Chan
- Agriculture and Biological Engineering, Purdue University, West Lafayette, IN, USA
| | - Katherine Li
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Yang Yang
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA
| | - Fang Huang
- Agriculture and Biological Engineering, Purdue University, West Lafayette, IN, USA
| | - Riyi Shi
- Center for Paralysis Research, Purdue University, West Lafayette, IN, USA.
- Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, USA.
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
| | - Chongli Yuan
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA.
- Purdue Center of Cancer Research, Purdue University, West Lafayette, IN, USA.
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37
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Zeng X, Wang Y, Liu B, Rao X, Cao C, Peng F, Zhi W, Wu P, Peng T, Wei Y, Chu T, Xu M, Xu Y, Ding W, Li G, Lin S, Wu P. Multi-omics data reveals novel impacts of human papillomavirus integration on the epigenomic and transcriptomic signatures of cervical tumorigenesis. J Med Virol 2023; 95:e28789. [PMID: 37212325 DOI: 10.1002/jmv.28789] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/27/2023] [Accepted: 05/03/2023] [Indexed: 05/23/2023]
Abstract
Integration of human papilloma virus (HPV) DNA into the human genome may progressively contribute to cervical carcinogenesis. To explore how HPV integration affects gene expression by altering DNA methylation during carcinogenesis, we analyzed a multiomics dataset for cervical cancer. We obtained multiomics data by HPV-capture sequencing, RNA sequencing, and Whole Genome Bisulfite Sequencing from 50 patients with cervical cancer. We detected 985 and 485 HPV-integration sites in matched tumor and adjacent paratumor tissues. Of these, LINC00486 (n = 19), LINC02425 (n = 11), LLPH (n = 11), PROS1 (n = 5), KLF5 (n = 4), LINC00392 (n = 3), MIR205HG (n = 3) and NRG1 (n = 3) were identified as high-frequency HPV-integrated genes, including five novel recurrent genes. Patients at clinical stage II had the highest number of HPV integrations. E6 and E7 genes of HPV16 but not HPV18 showed significantly fewer breakpoints than random distribution. HPV integrations occurring in exons were associated with altered gene expression in tumor tissues but not in paratumor tissues. A list of HPV-integrated genes regulated at transcriptomic or epigenetic level was reported. We also carefully checked the candidate genes with regulation pattern correlated in both levels. HPV fragments integrated at MIR205HG mainly came from the L1 gene of HPV16. RNA expression of PROS1 was downregulated when HPV integrated in its upstream region. RNA expression of MIR205HG was elevated when HPV integrated into its enhancer. The promoter methylation levels of PROS1 and MIR205HG were all negatively correlated with their gene expressions. Further experimental validations proved that upregulation of MIR205HG could promote the proliferative and migrative abilities of cervical cancer cells. Our data provides a new atlas for epigenetic and transcriptomic regulations regarding HPV integrations in cervical cancer genome. We demonstrate that HPV integration may affect gene expression by altering methylation levels of MIR205HG and PROS1. Our study provides novel biological and clinical insights into HPV-induced cervical cancer.
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Affiliation(s)
- Xi Zeng
- Key Laboratory of Smart Farming for Agricultural Animals and Hubei Key Laboratory of Agricultural Bioinformatics, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Yuyouye Wang
- Key Laboratory of Smart Farming for Agricultural Animals and Hubei Key Laboratory of Agricultural Bioinformatics, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Binghan Liu
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xinjie Rao
- Key Laboratory of Smart Farming for Agricultural Animals and Hubei Key Laboratory of Agricultural Bioinformatics, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Canhui Cao
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Fang Peng
- Key Laboratory of Smart Farming for Agricultural Animals and Hubei Key Laboratory of Agricultural Bioinformatics, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Wenhua Zhi
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ping Wu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ting Peng
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ye Wei
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tian Chu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Miaochun Xu
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yashi Xu
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wencheng Ding
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Guoliang Li
- Key Laboratory of Smart Farming for Agricultural Animals and Hubei Key Laboratory of Agricultural Bioinformatics, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Shitong Lin
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Peng Wu
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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38
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Kehrberg RJ, Bhyravbhatla N, Batra SK, Kumar S. Epigenetic regulation of cancer-associated fibroblast heterogeneity. Biochim Biophys Acta Rev Cancer 2023; 1878:188901. [PMID: 37120098 PMCID: PMC10375465 DOI: 10.1016/j.bbcan.2023.188901] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/13/2023] [Accepted: 04/22/2023] [Indexed: 05/01/2023]
Abstract
Cancer-associated fibroblasts (CAFs), a significant component of the tumor microenvironment (TME), contribute to cancer progression through the secretion of extracellular matrix (ECM), growth factors, and metabolites. It is now well recognized that CAFs are a heterogenous population with ablation experiments leading to reduced tumor growth and single-cell RNA sequencing demonstrating CAF subgroups. CAFs lack genetic mutations yet substantially differ from their normal stromal precursors. Here, we review epigenetic changes in CAF maturation, focusing on DNA methylation and histone modifications. DNA methylation changes in CAFs have been demonstrated globally, while roles of methylation at specific genes affect tumor growth. Further, loss of CAF histone methylation and gain of histone acetylation has been shown to promote CAF activation and tumor promotion. Many CAF activating factors, such as transforming growth factor β (TGFβ), lead to these epigenetic changes. MicroRNAs (miRNAs) serve as targets and orchestrators of epigenetic modifications that influence gene expression. Bromodomain and extra-terminal domain (BET), an epigenetic reader, recognizes histone acetylation and activates the transcription of genes leading to the pro-tumor phenotype of CAFs.
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Affiliation(s)
- Rachel J Kehrberg
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Namita Bhyravbhatla
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Surinder K Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Sushil Kumar
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, USA.
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39
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Boman J, Zhu Y, Höök L, Vila R, Talavera G, Backström N. Environmental stress during larval development induces DNA methylation shifts in the migratory painted lady butterfly (Vanessa cardui). Mol Ecol 2023. [PMID: 37088782 DOI: 10.1111/mec.16957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/22/2023] [Accepted: 04/12/2023] [Indexed: 04/25/2023]
Abstract
Seasonal environmental fluctuations provide formidable challenges for living organisms, especially small ectotherms such as butterflies. A common strategy to cope with harsh environments is to enter diapause, but some species avoid unsuitable conditions by migrating. Despite a growing understanding of migration in the life cycles of some butterfly species, it remains unknown how individuals register and store environmental cues to determine whether and where to migrate. Here, we explored how competition and host plant availability during larval development affect patterns of DNA methylation in the migratory painted lady (Vanessa cardui) butterfly. We identify a set of potentially functional methylome shifts associated with differences in the environment, indicating that DNA methylation is involved in the response to different conditions during larval development. By analysing the transcriptome for the same samples used for methylation profiling, we also uncovered a non-monotonic relationship between gene body methylation and gene expression. Our results provide a starting point for understanding the interplay between DNA methylation and gene expression in butterflies in general and how differences in environmental conditions during development can trigger unique epigenetic marks that might be important for behavioural decisions in the adult stage.
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Affiliation(s)
- Jesper Boman
- Evolutionary Biology Program, Department of Ecology and Genetics (IEG), Uppsala University, Uppsala, Sweden
| | - Yishu Zhu
- Animal Ecology Program, Department of Ecology and Genetics (IEG), Uppsala University, Uppsala, Sweden
| | - Lars Höök
- Evolutionary Biology Program, Department of Ecology and Genetics (IEG), Uppsala University, Uppsala, Sweden
| | - Roger Vila
- Institut de Biologia Evolutiva (CSIC-Univ. Pompeu Fabra), Barcelona, Spain
| | - Gerard Talavera
- Institut Botànic de Barcelona (IBB), CSIC-Ajuntament de Barcelona, Barcelona, Spain
| | - Niclas Backström
- Evolutionary Biology Program, Department of Ecology and Genetics (IEG), Uppsala University, Uppsala, Sweden
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40
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Liu F, Wang Y, Gu H, Wang X. Technologies and applications of single-cell DNA methylation sequencing. Theranostics 2023; 13:2439-2454. [PMID: 37215576 PMCID: PMC10196823 DOI: 10.7150/thno.82582] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 04/09/2023] [Indexed: 05/24/2023] Open
Abstract
DNA methylation is the most stable epigenetic modification. In mammals, it usually occurs at the cytosine of CpG dinucleotides. DNA methylation is essential for many physiological and pathological processes. Aberrant DNA methylation has been observed in human diseases, particularly cancer. Notably, conventional DNA methylation profiling technologies require a large amount of DNA, often from a heterogeneous cell population, and provide an average methylation level of many cells. It is often not realistic to collect sufficient numbers of cells, such as rare cells and circulating tumor cells in peripheral blood, for bulk sequencing assays. It is therefore essential to develop sequencing technologies that can accurately profile DNA methylation using small numbers of cells or even single cells. Excitingly, many single-cell DNA methylation sequencing and single-cell omics sequencing technologies have been developed, and applications of these methods have greatly expanded our understanding of the molecular mechanism of DNA methylation. Here, we summaries single-cell DNA methylation and multi-omics sequencing methods, delineate their applications in biomedical sciences, discuss technical challenges, and present our perspective on future research directions.
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Affiliation(s)
- Fang Liu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
- University of Science and Technology of China, Hefei, 230026, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, China
| | - Yunfei Wang
- Zhejiang ShengTing Biotech. Ltd, Hangzhou, 310000, China
| | - Hongcang Gu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
- University of Science and Technology of China, Hefei, 230026, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, China
| | - Xiaoxue Wang
- Department of Hematology, the First Hospital of China Medical University, Shenyang, 110001, China
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Rubens M, Bruenig D, Adams JAM, Suresh SM, Sathyanarayanan A, Haslam D, Shenk CE, Mathews B, Mehta D. Childhood maltreatment and DNA methylation: A systematic review. Neurosci Biobehav Rev 2023; 147:105079. [PMID: 36764637 DOI: 10.1016/j.neubiorev.2023.105079] [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: 07/19/2022] [Revised: 01/15/2023] [Accepted: 02/04/2023] [Indexed: 02/11/2023]
Abstract
Child maltreatment (CM) encompasses sexual abuse, physical abuse, emotional abuse, neglect, and exposure to domestic and family violence. Epigenetic research investigating CM has focused on differential DNA methylation (DNAm) in genes associated with the stress response, but there has been limited evaluation of the specific effects of subtypes of CM. This systematic review of literature investigating DNAm associated with CM in non-clinical populations aimed to summarise the approaches currently used in research, how the type of maltreatment and age of exposure were encoded via methylation, and which genes have consistently been associated with CM. A total of fifty-four papers were eligible for review, including forty-one candidate gene studies, eight epigenome-wide association studies, and five studies with a mixed design. The ways in which the various forms of CM were conceptualised and measured varied between papers. Future studies would benefit from assessments that employ conceptually robust definitions of CM, and that capture important contextual information such as age of exposure and subtype of CM.
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Affiliation(s)
- Mackenzie Rubens
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Dagmar Bruenig
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Jessica A M Adams
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Shruthi M Suresh
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Anita Sathyanarayanan
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia
| | - Divna Haslam
- Australian Centre for Health Law Research, School of Law, Queensland University of Technology (QUT), Australia; Parenting and Family Support Centre, University of Queensland, Australia
| | - Chad E Shenk
- Department of Human Development and Family Studies, The Pennsylvania State University, USA; Department of Pediatrics, The Pennsylvania State University College of Medicine, USA
| | - Ben Mathews
- Australian Centre for Health Law Research, School of Law, Queensland University of Technology (QUT), Australia; Bloomberg School of Public Health, Johns Hopkins University, USA
| | - Divya Mehta
- Centre for Genomics and Personalised Health, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia.
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Viuff M, Skakkebæk A, Johannsen EB, Chang S, Pedersen SB, Lauritsen KM, Pedersen MGB, Trolle C, Just J, Gravholt CH. X chromosome dosage and the genetic impact across human tissues. Genome Med 2023; 15:21. [PMID: 36978128 PMCID: PMC10053618 DOI: 10.1186/s13073-023-01169-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 03/06/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Sex chromosome aneuploidies (SCAs) give rise to a broad range of phenotypic traits and diseases. Previous studies based on peripheral blood samples have suggested the presence of ripple effects, caused by altered X chromosome number, affecting the methylome and transcriptome. Whether these alterations can be connected to disease-specific tissues, and thereby having clinical implication for the phenotype, remains to be elucidated. METHODS We performed a comprehensive analysis of X chromosome number on the transcriptome and methylome in blood, fat, and muscle tissue from individuals with 45,X, 46,XX, 46,XY, and 47,XXY. RESULTS X chromosome number affected the transcriptome and methylome globally across all chromosomes in a tissue-specific manner. Furthermore, 45,X and 47,XXY demonstrated a divergent pattern of gene expression and methylation, with overall gene downregulation and hypomethylation in 45,X and gene upregulation and hypermethylation in 47,XXY. In fat and muscle, a pronounced effect of sex was observed. We identified X chromosomal genes with an expression pattern different from what would be expected based on the number of X and Y chromosomes. Our data also indicate a regulatory function of Y chromosomal genes on X chromosomal genes. Fourteen X chromosomal genes were downregulated in 45,X and upregulated in 47,XXY, respectively, in all three tissues (AKAP17A, CD99, DHRSX, EIF2S3, GTPBP6, JPX, KDM6A, PP2R3B, PUDP, SLC25A6, TSIX, XIST, ZBED1, ZFX). These genes may be central in the epigenetic and genomic regulation of sex chromosome aneuploidies. CONCLUSION We highlight a tissue-specific and complex effect of X chromosome number on the transcriptome and methylome, elucidating both shared and non-shared gene-regulatory mechanism between SCAs.
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Affiliation(s)
- Mette Viuff
- Department of Molecular Medicine, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark.
- Department of Gynecology and Obstetrics, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark.
- Department of Clinical Medicine, Aarhus University, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark.
| | - Anne Skakkebæk
- Department of Molecular Medicine, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark.
- Department of Clinical Medicine, Aarhus University, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark.
- Department of Clinical Genetics, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark.
| | - Emma B Johannsen
- Department of Molecular Medicine, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
- Department of Clinical Medicine, Aarhus University, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Simon Chang
- Department of Endocrinology and Internal Medicine and Medical Research Laboratories, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Steen Bønlykke Pedersen
- Department of Endocrinology and Internal Medicine and Medical Research Laboratories, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Katrine Meyer Lauritsen
- Department of Endocrinology and Internal Medicine and Medical Research Laboratories, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Mette Glavind Bülow Pedersen
- Department of Endocrinology and Internal Medicine and Medical Research Laboratories, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Christian Trolle
- Department of Endocrinology and Internal Medicine and Medical Research Laboratories, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Jesper Just
- Department of Molecular Medicine, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
- Department of Clinical Medicine, Aarhus University, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Claus H Gravholt
- Department of Molecular Medicine, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
- Department of Clinical Medicine, Aarhus University, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
- Department of Endocrinology and Internal Medicine and Medical Research Laboratories, Aarhus University Hospital, Palle-Juul Jensens Boulevard 99, Aarhus N, 8200, Denmark
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Oeing CU, Pepin ME, Saul KB, Agircan AS, Assenov Y, Merkel TS, Sedaghat-Hamedani F, Weis T, Meder B, Guan K, Plass C, Weichenhan D, Siede D, Backs J. Indirect epigenetic testing identifies a diagnostic signature of cardiomyocyte DNA methylation in heart failure. Basic Res Cardiol 2023; 118:9. [PMID: 36939901 PMCID: PMC10027651 DOI: 10.1007/s00395-022-00954-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 09/06/2022] [Accepted: 09/15/2022] [Indexed: 03/21/2023]
Abstract
Precision-based molecular phenotyping of heart failure must overcome limited access to cardiac tissue. Although epigenetic alterations have been found to underlie pathological cardiac gene dysregulation, the clinical utility of myocardial epigenomics remains narrow owing to limited clinical access to tissue. Therefore, the current study determined whether patient plasma confers indirect phenotypic, transcriptional, and/or epigenetic alterations to ex vivo cardiomyocytes to mirror the failing human myocardium. Neonatal rat ventricular myocytes (NRVMs) and single-origin human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and were treated with blood plasma samples from patients with dilated cardiomyopathy (DCM) and donor subjects lacking history of cardiovascular disease. Following plasma treatments, NRVMs and hiPSC-CMs underwent significant hypertrophy relative to non-failing controls, as determined via automated high-content screening. Array-based DNA methylation analysis of plasma-treated hiPSC-CMs and cardiac biopsies uncovered robust, and conserved, alterations in cardiac DNA methylation, from which 100 sites were validated using an independent cohort. Among the CpG sites identified, hypo-methylation of the ATG promoter was identified as a diagnostic marker of HF, wherein cg03800765 methylation (AUC = 0.986, P < 0.0001) was found to out-perform circulating NT-proBNP levels in differentiating heart failure. Taken together, these findings support a novel approach of indirect epigenetic testing in human HF.
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Affiliation(s)
- Christian U Oeing
- Institute of Experimental Cardiology, University Hospital Heidelberg, University of Heidelberg and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Im Neuenheimer Feld 669, 69120, Heidelberg, Germany
- Department of Internal Medicine and Cardiology, Charité University Medicine, DZHK (German Center for Cardiovascular Research), Partner site Berlin, Campus Virchow-Klinikum, Berlin, Germany
| | - Mark E Pepin
- Institute of Experimental Cardiology, University Hospital Heidelberg, University of Heidelberg and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Im Neuenheimer Feld 669, 69120, Heidelberg, Germany
| | - Kerstin B Saul
- Institute of Experimental Cardiology, University Hospital Heidelberg, University of Heidelberg and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Im Neuenheimer Feld 669, 69120, Heidelberg, Germany
| | - Ayça Seyhan Agircan
- Institute of Experimental Cardiology, University Hospital Heidelberg, University of Heidelberg and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Im Neuenheimer Feld 669, 69120, Heidelberg, Germany
| | - Yassen Assenov
- Cancer Epigenomics, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Tobias S Merkel
- Institute of Experimental Cardiology, University Hospital Heidelberg, University of Heidelberg and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Im Neuenheimer Feld 669, 69120, Heidelberg, Germany
| | - Farbod Sedaghat-Hamedani
- Department of Cardiology, University of Heidelberg, DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Tanja Weis
- Department of Cardiology, University of Heidelberg, DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Benjamin Meder
- Department of Cardiology, University of Heidelberg, DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Kaomei Guan
- Institute of Pharmacology and Toxicology, Technische Universität Medical Centre Dresden, Dresden, Germany
| | - Christoph Plass
- Cancer Epigenomics, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Dieter Weichenhan
- Cancer Epigenomics, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Dominik Siede
- Institute of Experimental Cardiology, University Hospital Heidelberg, University of Heidelberg and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Im Neuenheimer Feld 669, 69120, Heidelberg, Germany
| | - Johannes Backs
- Institute of Experimental Cardiology, University Hospital Heidelberg, University of Heidelberg and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Im Neuenheimer Feld 669, 69120, Heidelberg, Germany.
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Smith DA, Sadler MC, Altman RB. Promises and challenges in pharmacoepigenetics. CAMBRIDGE PRISMS. PRECISION MEDICINE 2023; 1:e18. [PMID: 37560024 PMCID: PMC10406571 DOI: 10.1017/pcm.2023.6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 08/11/2023]
Abstract
Pharmacogenetics, the study of how interindividual genetic differences affect drug response, does not explain all observed heritable variance in drug response. Epigenetic mechanisms, such as DNA methylation, and histone acetylation may account for some of the unexplained variances. Epigenetic mechanisms modulate gene expression and can be suitable drug targets and can impact the action of nonepigenetic drugs. Pharmacoepigenetics is the field that studies the relationship between epigenetic variability and drug response. Much of this research focuses on compounds targeting epigenetic mechanisms, called epigenetic drugs, which are used to treat cancers, immune disorders, and other diseases. Several studies also suggest an epigenetic role in classical drug response; however, we know little about this area. The amount of information correlating epigenetic biomarkers to molecular datasets has recently expanded due to technological advances, and novel computational approaches have emerged to better identify and predict epigenetic interactions. We propose that the relationship between epigenetics and classical drug response may be examined using data already available by (1) finding regions of epigenetic variance, (2) pinpointing key epigenetic biomarkers within these regions, and (3) mapping these biomarkers to a drug-response phenotype. This approach expands on existing knowledge to generate putative pharmacoepigenetic relationships, which can be tested experimentally. Epigenetic modifications are involved in disease and drug response. Therefore, understanding how epigenetic drivers impact the response to classical drugs is important for improving drug design and administration to better treat disease.
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Affiliation(s)
- Delaney A Smith
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Marie C Sadler
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- University Center for Primary Care and Public Health, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Russ B Altman
- Department of Bioengineering, Stanford University, Stanford, CA, USA
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Fallet M, Blanc M, Di Criscio M, Antczak P, Engwall M, Guerrero Bosagna C, Rüegg J, Keiter SH. Present and future challenges for the investigation of transgenerational epigenetic inheritance. ENVIRONMENT INTERNATIONAL 2023; 172:107776. [PMID: 36731188 DOI: 10.1016/j.envint.2023.107776] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/18/2023] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Epigenetic pathways are essential in different biological processes and in phenotype-environment interactions in response to different stressors and they can induce phenotypic plasticity. They encompass several processes that are mitotically and, in some cases, meiotically heritable, so they can be transferred to subsequent generations via the germline. Transgenerational Epigenetic Inheritance (TEI) describes the phenomenon that phenotypic traits, such as changes in fertility, metabolic function, or behavior, induced by environmental factors (e.g., parental care, pathogens, pollutants, climate change), can be transferred to offspring generations via epigenetic mechanisms. Investigations on TEI contribute to deciphering the role of epigenetic mechanisms in adaptation, adversity, and evolution. However, molecular mechanisms underlying the transmission of epigenetic changes between generations, and the downstream chain of events leading to persistent phenotypic changes, remain unclear. Therefore, inter-, (transmission of information between parental and offspring generation via direct exposure) and transgenerational (transmission of information through several generations with disappearance of the triggering factor) consequences of epigenetic modifications remain major issues in the field of modern biology. In this article, we review and describe the major gaps and issues still encountered in the TEI field: the general challenges faced in epigenetic research; deciphering the key epigenetic mechanisms in inheritance processes; identifying the relevant drivers for TEI and implement a collaborative and multi-disciplinary approach to study TEI. Finally, we provide suggestions on how to overcome these challenges and ultimately be able to identify the specific contribution of epigenetics in transgenerational inheritance and use the correct tools for environmental science investigation and biomarkers identification.
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Affiliation(s)
- Manon Fallet
- Man-Technology-Environment Research Centre (MTM), School of Science and Technology, Örebro University, Fakultetsgatan 1, 70182 Örebro, Sweden; Department of Biochemistry, Dorothy Crowfoot Hodgkin Building, University of Oxford, South Parks Rd, Oxford OX1 3QU, United Kingdom.
| | - Mélanie Blanc
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, INRAE, Palavas, France
| | - Michela Di Criscio
- Department of Organismal Biology, Uppsala University, Norbyv. 18A, 75236 Uppsala, Sweden
| | - Philipp Antczak
- University of Cologne, Faculty of Medicine and Cologne University Hospital, Center for Molecular Medicine Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases, University of Cologne, Cologne, Germany
| | - Magnus Engwall
- Man-Technology-Environment Research Centre (MTM), School of Science and Technology, Örebro University, Fakultetsgatan 1, 70182 Örebro, Sweden
| | | | - Joëlle Rüegg
- Department of Organismal Biology, Uppsala University, Norbyv. 18A, 75236 Uppsala, Sweden
| | - Steffen H Keiter
- Man-Technology-Environment Research Centre (MTM), School of Science and Technology, Örebro University, Fakultetsgatan 1, 70182 Örebro, Sweden
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Singh RD, Tiwari R, Sharma V, Khan H, Gangopadhyay S, Singh S, Koshta K, Shukla S, Arjaria N, Mandrah K, Jagdale PR, Patnaik S, Roy SK, Singh D, Giri AK, Srivastava V. Prenatal arsenic exposure induces immunometabolic alteration and renal injury in rats. Front Med (Lausanne) 2023; 9:1045692. [PMID: 36714129 PMCID: PMC9874122 DOI: 10.3389/fmed.2022.1045692] [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: 09/15/2022] [Accepted: 12/12/2022] [Indexed: 01/12/2023] Open
Abstract
Arsenic (As) exposure is progressively associated with chronic kidney disease (CKD), a leading public health concern present worldwide. The adverse effect of As exposure on the kidneys of people living in As endemic areas have not been extensively studied. Furthermore, the impact of only prenatal exposure to As on the progression of CKD also has not been fully characterized. In the present study, we examined the effect of prenatal exposure to low doses of As 0.04 and 0.4 mg/kg body weight (0.04 and 0.4 ppm, respectively) on the progression of CKD in male offspring using a Wistar rat model. Interestingly, only prenatal As exposure was sufficient to elevate the expression of profibrotic (TGF-β1) and proinflammatory (IL-1α, MIP-2α, RANTES, and TNF-α) cytokines at 2-day, 12- and 38-week time points in the exposed progeny. Further, alteration in adipogenic factors (ghrelin, leptin, and glucagon) was also observed in 12- and 38-week old male offspring prenatally exposed to As. An altered level of these factors coincides with impaired glucose metabolism and homeostasis accompanied by progressive kidney damage. We observed a significant increase in the deposition of extracellular matrix components and glomerular and tubular damage in the kidneys of 38-week-old male offspring prenatally exposed to As. Furthermore, the overexpression of TGF-β1 in kidneys corresponds with hypermethylation of the TGF-β1 gene-body, indicating a possible involvement of prenatal As exposure-driven epigenetic modulations of TGF-β1 expression. Our study provides evidence that prenatal As exposure to males can adversely affect the immunometabolism of offspring which can promote kidney damage later in life.
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Affiliation(s)
- Radha Dutt Singh
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India,Academy of Scientific and Innovative Research, New Delhi, India,Radha Dutt Singh, ,
| | - Ratnakar Tiwari
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Vineeta Sharma
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India,Department of Biotechnology, Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India
| | - Hafizurrahman Khan
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India,Academy of Scientific and Innovative Research, New Delhi, India
| | - Siddhartha Gangopadhyay
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India,Academy of Scientific and Innovative Research, New Delhi, India
| | - Sukhveer Singh
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India,Academy of Scientific and Innovative Research, New Delhi, India
| | - Kavita Koshta
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India,Academy of Scientific and Innovative Research, New Delhi, India
| | - Shagun Shukla
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Nidhi Arjaria
- Advanced Imaging Facility, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Kapil Mandrah
- Academy of Scientific and Innovative Research, New Delhi, India,Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Pankaj Ramji Jagdale
- Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Satyakam Patnaik
- Academy of Scientific and Innovative Research, New Delhi, India,Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Somendu Kumar Roy
- Academy of Scientific and Innovative Research, New Delhi, India,Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Dhirendra Singh
- Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Ashok Kumar Giri
- Molecular and Human Genetics Division, CSIR-Indian Institute of Chemical Biology, Kolkata, West Bengal, India
| | - Vikas Srivastava
- Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India,Academy of Scientific and Innovative Research, New Delhi, India,*Correspondence: Vikas Srivastava, ,
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Epstein RJ, Lin FPY, Brink RA, Blackburn J. Synonymous alterations of cancer-associated Trp53 CpG mutational hotspots cause fatal developmental jaw malocclusions but no tumors in knock-in mice. PLoS One 2023; 18:e0284327. [PMID: 37053216 PMCID: PMC10101519 DOI: 10.1371/journal.pone.0284327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/28/2023] [Indexed: 04/14/2023] Open
Abstract
Intragenic CpG dinucleotides are tightly conserved in evolution yet are also vulnerable to methylation-dependent mutation, raising the question as to why these functionally critical sites have not been deselected by more stable coding sequences. We previously showed in cell lines that altered exonic CpG methylation can modify promoter start sites, and hence protein isoform expression, for the human TP53 tumor suppressor gene. Here we extend this work to the in vivo setting by testing whether synonymous germline modifications of exonic CpG sites affect murine development, fertility, longevity, or cancer incidence. We substituted the DNA-binding exons 5-8 of Trp53, the mouse ortholog of human TP53, with variant-CpG (either CpG-depleted or -enriched) sequences predicted to encode the normal p53 amino acid sequence; a control construct was also created in which all non-CpG sites were synonymously substituted. Homozygous Trp53-null mice were the only genotype to develop tumors. Mice with variant-CpG Trp53 sequences remained tumor-free, but were uniquely prone to dental anomalies causing jaw malocclusion (p < .0001). Since the latter phenotype also characterises murine Rett syndrome due to dysfunction of the trans-repressive MeCP2 methyl-CpG-binding protein, we hypothesise that CpG sites may exert non-coding phenotypic effects via pre-translational cis-interactions of 5-methylcytosine with methyl-binding proteins which regulate mRNA transcript initiation, expression or splicing, although direct effects on mRNA structure or translation are also possible.
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Affiliation(s)
- Richard J Epstein
- University of New South Wales, St Vincent's Hospital Campus, Sydney, Australia
- Garvan Institute of Medical Research, Sydney, Australia
| | - Frank P Y Lin
- University of New South Wales, St Vincent's Hospital Campus, Sydney, Australia
- Centre for Clinical Genomics, The Kinghorn Cancer Centre, Sydney, Australia
| | - Robert A Brink
- University of New South Wales, St Vincent's Hospital Campus, Sydney, Australia
- Garvan Institute of Medical Research, Sydney, Australia
| | - James Blackburn
- University of New South Wales, St Vincent's Hospital Campus, Sydney, Australia
- Garvan Institute of Medical Research, Sydney, Australia
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Comtois-Cabana M, Barr E, Provençal N, Ouellet-Morin I. Association between child maltreatment and depressive symptoms in emerging adulthood: The mediating and moderating roles of DNA methylation. PLoS One 2023; 18:e0280203. [PMID: 36634080 PMCID: PMC9836296 DOI: 10.1371/journal.pone.0280203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023] Open
Abstract
Prospective studies suggest that child maltreatment substantially increases the risk for depression in adulthood. However, the mechanisms underlying this association require further elucidation. In recent years, DNA methylation has emerged as a potential mechanism by which maltreatment experiences (a) could partly explain the emergence or aggravation of depressive symptoms (i.e., mediation) and/or (b) could increase (or decrease) the risk for depressive symptoms (i.e., moderation). The present study tested whether the methylation levels of nine candidate genes mediated and/or moderated the association between maltreatment experiences in childhood and depressive symptoms in emerging adulthood. The sample comprised 156 men aged between 18 and 35 years. Maltreatment experiences and depressive symptoms were assessed retrospectively using self-reported questionnaires. Methylation levels of nine candidate genes (COMT, FKBP5, IL6, IL10, MAOA, NR3C1, OXTR, SLC6A3 and SLC6A4), previously reported to be sensitive to early-life stress, were quantified from saliva samples. Maltreatment experiences in childhood were significantly associated with depressive symptoms in emerging adulthood. Both maltreatment experiences and depressive symptoms were associated with the methylation levels of two genomic sites, which cumulatively, but not individually, explained 16% of the association between maltreatment experiences in childhood and depressive symptoms in emerging adulthood. Moreover, maltreatment experiences in childhood interacted with the methylation levels of fourteen genomic sites, which cumulatively, but not individually, modulated the level of depressive symptoms in young male adults who were maltreated as children. However, none of these effects survived multiple testing correction. These findings bring attention to the cumulative effects of DNA methylation measured in several candidate genes on the risk of reporting depressive symptoms following maltreatment experiences in childhood. Nonetheless, future studies need to clarify the robustness of these putative cumulative effects in larger samples and longitudinal cohorts.
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Affiliation(s)
- Maude Comtois-Cabana
- Department of Psychology, University of Montreal, Montreal, Quebec, Canada
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Emily Barr
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Nadine Provençal
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Isabelle Ouellet-Morin
- School of Criminology, University of Montreal, Montreal, Quebec, Canada
- Research Center of the Montreal Mental Health University Institute, Montreal, Quebec, Canada
- * E-mail:
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G Protein-Coupled Receptor 15 Expression Is Associated with Myocardial Infarction. Int J Mol Sci 2022; 24:ijms24010180. [PMID: 36613626 PMCID: PMC9820726 DOI: 10.3390/ijms24010180] [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: 10/29/2022] [Revised: 12/14/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022] Open
Abstract
Beyond the influence of lifestyle-related risk factors for myocardial infarction (MI), the mechanisms of genetic predispositions for MI remain unclear. We sought to identify and characterize differentially expressed genes in early-onset MI in a translational approach. In an observational case−control study, transcriptomes from 112 early-onset MI individuals showed upregulated G protein-coupled receptor 15 (GPR15) expression in peripheral blood mononuclear cells compared to controls (fold change = 1.4, p = 1.87 × 10−7). GPR15 expression correlated with intima-media thickness (β = 0.8498, p = 0.111), C-reactive protein (β = 0.2238, p = 0.0052), ejection fraction (β = −0.9991, p = 0.0281) and smoking (β = 0.7259, p = 2.79 × 10−10). The relation between smoking and MI was diminished after the inclusion of GPR15 expression as mediator in mediation analysis (from 1.27 (p = 1.9 × 10−5) to 0.46 (p = 0.21)). The DNA methylation of two GPR15 sites was 1%/5% lower in early-onset MI individuals versus controls (p = 2.37 × 10−6/p = 0.0123), with site CpG3.98251219 significantly predicting risk for incident MI (hazard ratio = 0.992, p = 0.0177). The nucleotide polymorphism rs2230344 (C/T) within GPR15 was associated with early-onset MI (odds ratio = 3.61, p = 0.044). Experimental validation showed 6.3-fold increased Gpr15 expression in an ischemic mouse model (p < 0.05) and 4-fold increased Gpr15 expression in cardiomyocytes under ischemic stress (p < 0.001). After the induction of MI, Gpr15gfp/gfp mice showed lower survival (p = 0.042) and deregulated gene expression for response to hypoxia and signaling pathways. Using a translational approach, our data provide evidence that GPR15 is linked to cardiovascular diseases, mediating the adverse effects of smoking.
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Sallam M, Mysara M, Benotmane MA, Crijns APG, Spoor D, Van Nieuwerburgh F, Deforce D, Baatout S, Guns PJ, Aerts A, Ramadan R. DNA Methylation Alterations in Fractionally Irradiated Rats and Breast Cancer Patients Receiving Radiotherapy. Int J Mol Sci 2022; 23:16214. [PMID: 36555856 PMCID: PMC9783664 DOI: 10.3390/ijms232416214] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
Radiation-Induced CardioVascular Disease (RICVD) is an important concern in thoracic radiotherapy with complex underlying pathophysiology. Recently, we proposed DNA methylation as a possible mechanism contributing to RICVD. The current study investigates DNA methylation in heart-irradiated rats and radiotherapy-treated breast cancer (BC) patients. Rats received fractionated whole heart X-irradiation (0, 0.92, 6.9 and 27.6 Gy total doses) and blood was collected after 1.5, 3, 7 and 12 months. Global and gene-specific methylation of the samples were evaluated; and gene expression of selected differentially methylated regions (DMRs) was validated in rat and BC patient blood. In rats receiving an absorbed dose of 27.6 Gy, DNA methylation alterations were detected up to 7 months with differential expression of cardiac-relevant DMRs. Of those, SLMAP showed increased expression at 1.5 months, which correlated with hypomethylation. Furthermore, E2F6 inversely correlated with a decreased global longitudinal strain. In BC patients, E2F6 and SLMAP exhibited differential expression directly and 6 months after radiotherapy, respectively. This study describes a systemic radiation fingerprint at the DNA methylation level, elucidating a possible association of DNA methylation to RICVD pathophysiology, to be validated in future mechanistic studies.
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Affiliation(s)
- Magy Sallam
- Radiobiology Unit, Interdisciplinary Biosciences, Belgian Nuclear Research Centre, SCK CEN, 2400 Mol, Belgium
- Laboratory of Physiopharmacology, University of Antwerp, 2610 Wilrijk, Belgium
| | - Mohamed Mysara
- Radiobiology Unit, Interdisciplinary Biosciences, Belgian Nuclear Research Centre, SCK CEN, 2400 Mol, Belgium
| | | | - Anne P. G. Crijns
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Daan Spoor
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | | | - Dieter Deforce
- Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000 Ghent, Belgium
| | - Sarah Baatout
- Radiobiology Unit, Interdisciplinary Biosciences, Belgian Nuclear Research Centre, SCK CEN, 2400 Mol, Belgium
- Department of Molecular Biotechnology, Ghent University, 9000 Ghent, Belgium
| | - Pieter-Jan Guns
- Laboratory of Physiopharmacology, University of Antwerp, 2610 Wilrijk, Belgium
| | - An Aerts
- Radiobiology Unit, Interdisciplinary Biosciences, Belgian Nuclear Research Centre, SCK CEN, 2400 Mol, Belgium
| | - Raghda Ramadan
- Radiobiology Unit, Interdisciplinary Biosciences, Belgian Nuclear Research Centre, SCK CEN, 2400 Mol, Belgium
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