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Watowich MM, Costa CE, Chiou KL, Goldman EA, Petersen RM, Patterson S, Martínez MI, Sterner KN, Horvath JE, Montague MJ, Platt ML, Brent LJN, Higham JP, Lea AJ, Snyder-Mackler N. Immune gene regulation is associated with age and environmental adversity in a nonhuman primate. Mol Ecol 2024:e17445. [PMID: 39032090 DOI: 10.1111/mec.17445] [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: 12/12/2023] [Revised: 04/27/2024] [Accepted: 06/14/2024] [Indexed: 07/22/2024]
Abstract
Phenotypic aging is ubiquitous across mammalian species, suggesting shared underlying mechanisms of aging. Aging is linked to molecular changes to DNA methylation and gene expression, and environmental factors, such as severe external challenges or adversities, can moderate these age-related changes. Yet, it remains unclear whether environmental adversities affect gene regulation via the same molecular pathways as chronological, or 'primary', aging. Investigating molecular aging in naturalistic animal populations can fill this gap by providing insight into shared molecular mechanisms of aging and the effects of a greater diversity of environmental adversities - particularly those that can be challenging to study in humans or laboratory organisms. Here, we characterised molecular aging - specifically, CpG methylation - in a sample of free-ranging rhesus macaques living off the coast of Puerto Rico (n samples = 571, n individuals = 499), which endured a major hurricane during our study. Age was associated with methylation at 78,661 sites (31% of all sites tested). Age-associated hypermethylation occurred more frequently in areas of active gene regulation, while hypomethylation was enriched in regions that show less activity in immune cells, suggesting these regions may become de-repressed in older individuals. Age-associated hypomethylation also co-occurred with increased chromatin accessibility while hypermethylation showed the opposite trend, hinting at a coordinated, multi-level loss of epigenetic stability during aging. We detected 32,048 CpG sites significantly associated with exposure to a hurricane, and these sites overlapped age-associated sites, most strongly in regulatory regions and most weakly in quiescent regions. Together, our results suggest that environmental adversity may contribute to aging-related molecular phenotypes in regions of active gene transcription, but that primary aging has specific signatures in non-regulatory regions.
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Affiliation(s)
- Marina M Watowich
- Department of Biology, University of Washington, Seattle, Washington, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, USA
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
| | - Christina E Costa
- Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
| | - Kenneth L Chiou
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, USA
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Elisabeth A Goldman
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Rachel M Petersen
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
| | - Sam Patterson
- Department of Anthropology, New York University, New York, New York, USA
| | - Melween I Martínez
- Caribbean Primate Research Center, Unit of Comparative Medicine, University of Puerto Rico, San Juan, Puerto Rico, USA
| | - Kirstin N Sterner
- Department of Anthropology, University of Oregon, Eugene, Oregon, USA
| | - Julie E Horvath
- Research and Collections Section, North Carolina Museum of Natural Sciences, Raleigh, North Carolina, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Michael J Montague
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michael L Platt
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Marketing Department, Wharton School of Business, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lauren J N Brent
- Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
| | - James P Higham
- Department of Anthropology, New York University, New York, New York, USA
- New York Consortium in Evolutionary Primatology, New York, New York, USA
| | - Amanda J Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
| | - Noah Snyder-Mackler
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, USA
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, USA
- Neurodegenerative Disease Research Center, Arizona State University, Tempe, Arizona, USA
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2
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Lin W, Zhang S, Gu C, Zhu H, Liu Y. GLIPR2: a potential biomarker and therapeutic target unveiled - Insights from extensive pan-cancer analyses, with a spotlight on lung adenocarcinoma. Front Immunol 2024; 15:1280525. [PMID: 38476239 PMCID: PMC10929020 DOI: 10.3389/fimmu.2024.1280525] [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: 08/20/2023] [Accepted: 02/12/2024] [Indexed: 03/14/2024] Open
Abstract
Background Glioma pathogenesis related-2 (GLIPR2), an emerging Golgi membrane protein implicated in autophagy, has received limited attention in current scholarly discourse. Methods Leveraging extensive datasets, including The Cancer Genome Atlas (TCGA), Genotype Tissue Expression (GTEx), Human Protein Atlas (HPA), and Clinical Proteomic Tumor Analysis Consortium (CPTAC), we conducted a comprehensive investigation into GLIPR2 expression across diverse human malignancies. Utilizing UALCAN, OncoDB, MEXPRESS and cBioPortal databases, we scrutinized GLIPR2 mutation patterns and methylation landscapes. The integration of bulk and single-cell RNA sequencing facilitated elucidation of relationships among cellular heterogeneity, immune infiltration, and GLIPR2 levels in pan-cancer. Employing ROC and KM analyses, we unveiled the diagnostic and prognostic potential of GLIPR2 across diverse cancers. Immunohistochemistry provided insights into GLIPR2 expression patterns in a multicenter cohort spanning various cancer types. In vitro functional experiments, including transwell assays, wound healing analyses, and drug sensitivity testing, were employed to delineate the tumor suppressive role of GLIPR2. Results GLIPR2 expression was significantly reduced in neoplastic tissues compared to its prevalence in healthy tissues. Copy number variations (CNV) and alterations in methylation patterns exhibited discernible correlations with GLIPR2 expression within tumor tissues. Moreover, GLIPR2 demonstrated diagnostic and prognostic implications, showing pronounced associations with the expression profiles of numerous immune checkpoint genes and the relative abundance of immune cells in the neoplastic microenvironment. This multifaceted influence was evident across various cancer types, with lung adenocarcinoma (LUAD) being particularly prominent. Notably, patients with LUAD exhibited a significant decrease in GLIPR2 expression within practical clinical settings. Elevated GLIPR2 expression correlated with improved prognostic outcomes specifically in LUAD. Following radiotherapy, LUAD cases displayed an increased presence of GLIPR2+ infiltrating cellular constituents, indicating a notable correlation with heightened sensitivity to radiation-induced therapeutic modalities. A battery of experiments validated the functional role of GLIPR2 in suppressing the malignant phenotype and enhancing treatment sensitivity. Conclusion In pan-cancer, particularly in LUAD, GLIPR2 emerges as a promising novel biomarker and tumor suppressor. Its involvement in immune cell infiltration suggests potential as an immunotherapeutic target.
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Affiliation(s)
- Wei Lin
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China
| | - Siming Zhang
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Chunyan Gu
- Department of Pathology, Affiliated Nantong Hospital 3 of Nantong University (Nantong Third People’s Hospital), Nantong, China
| | - Haixia Zhu
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Yuan Liu
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
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3
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Groppa E, Tung LW, Mattevi S, Ritso M, Rossi FMV, Martini P. Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice. STAR Protoc 2023; 4:102638. [PMID: 37831606 PMCID: PMC10583169 DOI: 10.1016/j.xpro.2023.102638] [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: 07/05/2023] [Revised: 08/25/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023] Open
Abstract
Efficient skeletal muscle regeneration necessitates fine-tuned coordination among multiple cell types through an intricate network of intercellular communication. We present a protocol for generation of a time-resolved cellular interactome during tissue remodeling. We describe steps for isolating distinct cell populations from skeletal muscle of adult mice after acute damage and extracting RNA from purified cells prior to the generation of RNA sequencing data. We then detail procedures for generating and deciphering a time- and lineage-resolved model of intercellular crosstalk. For complete details on the use and execution of this protocol, please refer to Groppa et al. (2023).1.
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Affiliation(s)
- Elena Groppa
- Borea Therapeutics, Scuola Internazionale Superiore di Studi Avanzati, 34136 Trieste, Italy.
| | - Lin Wei Tung
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 2B9, Canada
| | - Stefania Mattevi
- Department of Molecular and Translational Medicine, University of Brescia, 25121 Brescia, Italy
| | - Morten Ritso
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 2B9, Canada
| | - Fabio M V Rossi
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 2B9, Canada
| | - Paolo Martini
- Department of Molecular and Translational Medicine, University of Brescia, 25121 Brescia, Italy.
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4
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Groppa E, Martini P, Derakhshan N, Theret M, Ritso M, Tung LW, Wang YX, Soliman H, Hamer MS, Stankiewicz L, Eisner C, Erwan LN, Chang C, Yi L, Yuan JH, Kong S, Weng C, Adams J, Chang L, Peng A, Blau HM, Romualdi C, Rossi FMV. Spatial compartmentalization of signaling imparts source-specific functions on secreted factors. Cell Rep 2023; 42:112051. [PMID: 36729831 DOI: 10.1016/j.celrep.2023.112051] [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: 10/04/2020] [Revised: 09/08/2022] [Accepted: 01/16/2023] [Indexed: 02/03/2023] Open
Abstract
Efficient regeneration requires multiple cell types acting in coordination. To better understand the intercellular networks involved and how they change when regeneration fails, we profile the transcriptome of hematopoietic, stromal, myogenic, and endothelial cells over 14 days following acute muscle damage. We generate a time-resolved computational model of interactions and identify VEGFA-driven endothelial engagement as a key differentiating feature in models of successful and failed regeneration. In addition, the analysis highlights that the majority of secreted signals, including VEGFA, are simultaneously produced by multiple cell types. To test whether the cellular source of a factor determines its function, we delete VEGFA from two cell types residing in close proximity: stromal and myogenic progenitors. By comparing responses to different types of damage, we find that myogenic and stromal VEGFA have distinct functions in regeneration. This suggests that spatial compartmentalization of signaling plays a key role in intercellular communication networks.
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Affiliation(s)
- Elena Groppa
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada; Borea Therapeutics, Scuola Internazionale Superiore di Studi Avanzati, Via Bonomea 265, Trieste, Italy
| | - Paolo Martini
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Department of Biology, University of Padova, via U. Bassi 58B, Padova, Italy
| | - Nima Derakhshan
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Marine Theret
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Morten Ritso
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Lin Wei Tung
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Yu Xin Wang
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Hesham Soliman
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada; Faculty of Pharmaceutical Sciences, Minia University, Minia, Egypt; Aspect Biosystems, 1781 W 75th Avenue, Vancouver, BC, Canada
| | - Mark Stephen Hamer
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Laura Stankiewicz
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Christine Eisner
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Le Nevé Erwan
- Department of Pediatrics, Université Laval, Laval, QC, Canada
| | - Chihkai Chang
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Lin Yi
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Jack H Yuan
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Sunny Kong
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Curtis Weng
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Josephine Adams
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Lucas Chang
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Anne Peng
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Helen M Blau
- Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Chiara Romualdi
- Department of Biology, University of Padova, via U. Bassi 58B, Padova, Italy
| | - Fabio M V Rossi
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada.
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5
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Johnstone SE, Gladyshev VN, Aryee MJ, Bernstein BE. Epigenetic clocks, aging, and cancer. Science 2022; 378:1276-1277. [PMID: 36548410 DOI: 10.1126/science.abn4009] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Global methylation changes in aging cells affect cancer risk and tissue homeostasis.
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Affiliation(s)
- Sarah E Johnstone
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Pathology, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA
| | - Vadim N Gladyshev
- Broad Institute, Cambridge, MA, USA.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin J Aryee
- Department of Pathology, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA.,Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Bradley E Bernstein
- Department of Pathology, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Cell Biology, Harvard Medical School, Boston, MA, USA
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6
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Xue Y, Wang J, He Y, Patra P, Gao YQ. Multi-scale gene regulation mechanism: Spatiotemporal transmission of genetic information. Curr Opin Struct Biol 2022; 77:102487. [PMID: 36274420 DOI: 10.1016/j.sbi.2022.102487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/09/2022] [Accepted: 09/18/2022] [Indexed: 12/14/2022]
Abstract
Gene expression is regulated by many factors, including transcription factors, chromatin three-dimensional topology, modifications of DNA and histone proteins, and non-coding RNAs. The execution of these complex mechanisms requires an effectively coordinated regulation system. In this review, we emphasize that the multi-scale heterogeneous DNA sequence plays a fundamental and important role for gene expression activity and usage of different means of epigenetic regulation. We illustrate here that the chromatin structure organization provides a stage for spatiotemporal regulation between different genes or gene modules and to realize their downstream functional cooperation. Such a perspective expands our understanding of the central dogma: In addition to one-dimensional sequence information, inter-gene interactions can also be transferred from DNA and RNA to protein levels.
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Affiliation(s)
- Yue Xue
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Jingyao Wang
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Yueying He
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Piya Patra
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518055, China
| | - Yi Qin Gao
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China; Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing 100871, China; Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518055, China.
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7
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Pérez RF, Tejedor JR, Fernández AF, Fraga MF. Aging and cancer epigenetics: Where do the paths fork? Aging Cell 2022; 21:e13709. [PMID: 36103298 PMCID: PMC9577950 DOI: 10.1111/acel.13709] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 08/29/2022] [Indexed: 01/25/2023] Open
Abstract
Aging and cancer are clearly associated processes, at both the epidemiological and molecular level. Epigenetic mechanisms are good candidates to explain the molecular links between the two phenomena, but recent reports have also revealed considerable differences, particularly regarding the loss of DNA methylation in the two processes. The large-scale generation and availability of genome-wide epigenetic data now permits systematic studies to be undertaken which may help clarify the similarities and differences between aging and cancer epigenetic alterations. In addition, the development of epigenetic clocks provides a new dimension in which to investigate diseases at the molecular level. Here, we examine current and future questions about the roles of DNA methylation mechanisms as causal factors in the processes of aging and cancer so that we may better understand if and how aging-associated epigenetic alterations lead to tumorigenesis. It seems certain that comprehending the molecular mechanisms underlying epigenetic clocks, especially with regard to somatic stem cell aging, combined with applying single-cell epigenetic-age profiling technologies to aging and cancer cohorts, and the integration of existing and upcoming epigenetic evidence within the genetic damage models of aging will prove to be crucial to improving understanding of these two interrelated phenomena.
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Affiliation(s)
- Raúl Fernández Pérez
- Cancer Epigenetics and Nanomedicine LaboratoryNanomaterials and Nanotechnology Research Center (CINN‐CSIC)El EntregoSpain,Health Research Institute of Asturias (ISPA‐FINBA)Institute of Oncology of Asturias (IUOPA) and Department of Organisms and Systems Biology (BOS)University of OviedoOviedoSpain,Rare Diseases CIBER (CIBERER)Carlos III Health Institute (ISCIII)MadridSpain
| | - Juan Ramón Tejedor
- Cancer Epigenetics and Nanomedicine LaboratoryNanomaterials and Nanotechnology Research Center (CINN‐CSIC)El EntregoSpain,Health Research Institute of Asturias (ISPA‐FINBA)Institute of Oncology of Asturias (IUOPA) and Department of Organisms and Systems Biology (BOS)University of OviedoOviedoSpain,Rare Diseases CIBER (CIBERER)Carlos III Health Institute (ISCIII)MadridSpain
| | - Agustín Fernández Fernández
- Cancer Epigenetics and Nanomedicine LaboratoryNanomaterials and Nanotechnology Research Center (CINN‐CSIC)El EntregoSpain,Health Research Institute of Asturias (ISPA‐FINBA)Institute of Oncology of Asturias (IUOPA) and Department of Organisms and Systems Biology (BOS)University of OviedoOviedoSpain,Rare Diseases CIBER (CIBERER)Carlos III Health Institute (ISCIII)MadridSpain
| | - Mario Fernández Fraga
- Cancer Epigenetics and Nanomedicine LaboratoryNanomaterials and Nanotechnology Research Center (CINN‐CSIC)El EntregoSpain,Health Research Institute of Asturias (ISPA‐FINBA)Institute of Oncology of Asturias (IUOPA) and Department of Organisms and Systems Biology (BOS)University of OviedoOviedoSpain,Rare Diseases CIBER (CIBERER)Carlos III Health Institute (ISCIII)MadridSpain
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8
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Liang Q, Peng J, Xu Z, Li Z, Jiang F, Ouyang L, Wu S, Fu C, Liu Y, Liu Y, Yan Y. Pan-cancer analysis of the prognosis and immunological role of AKAP12: A potential biomarker for resistance to anti-VEGF inhibitors. Front Genet 2022; 13:943006. [PMID: 36110213 PMCID: PMC9468827 DOI: 10.3389/fgene.2022.943006] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
The primary or acquired resistance to anti-VEGF inhibitors remains a common problem in cancer treatment. Therefore, identifying potential biomarkers enables a better understanding of the precise mechanism. Through the GEO database, three profiles associated with bevacizumab (BV) resistance to ovarian cancer, glioma, and non-small-cell lung carcinoma, respectively, were collected for the screening process, and two genes were found. A-kinase anchor protein 12 (AKAP12), one of these two genes, correlates with tumorigenesis of some cancers. However, the role of AKAP12 in pan-cancer remains poorly defined. The present study first systematically analyzed the association of AKAP12 with anti-VEGF inhibitors’ sensitivity, clinical prognosis, DNA methylation, protein phosphorylation, and immune cell infiltration across various cancers via bioinformatic tools. We found that AKAP12 was upregulated in anti-VEGF therapy-resistant cancers, including ovarian cancer (OV), glioblastoma (GBM), lung cancer, and colorectal cancer (CRC). A high AKAP12 expression revealed dismal prognoses in OV, GBM, and CRC patients receiving anti-VEGF inhibitors. Moreover, AKAP12 expression was negatively correlated with cancer sensitivity towards anti-VEGF therapy. Clinical prognosis analysis showed that AKAP12 expression predicted worse prognoses of various cancer types encompassing colon adenocarcinoma (COAD), OV, GBM, and lung squamous cell carcinoma (LUSC). Gene mutation status may be a critical cause for the involvement of AKAP12 in resistance. Furthermore, lower expression of AKAP12 was detected in nearly all cancer types, and hypermethylation may explain its decreased expression. A decreased phosphorylation of T1760 was observed in breast cancer, clear-cell renal cell carcinoma, and lung adenocarcinoma. For the immunologic significance, AKAP12 was positively related to the abundance of pro-tumor cancer-associated fibroblasts (CAFs) in various types of cancer. The results of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis suggested that “cell junction organization” and “MAPK pathway” participated in the effect of AKAP12. Importantly, we discovered that AKAP12 expression was greatly associated with metastasis of lung adenocarcinoma as well as differential and angiogenesis of retinoblastoma through investigating the single-cell sequencing data. Our study showed that the dual role of AKAP12 in various cancers and AKAP12 could serve as a biomarker of anti-VEGF resistance in OV, GBM, LUSC, and COAD.
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Affiliation(s)
- Qiuju Liang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Institute for Rational and Safe Medication Practices, Xiangya Hospital, Central South University, Changsha, China
| | - Jinwu Peng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
- Department of Pathology, Xiangya Changde Hospital, Changde, China
| | - Zhijie Xu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhilan Li
- Department of Pathology, Xiangya Changde Hospital, Changde, China
| | - Feng Jiang
- Department of Pathology, Xiangya Changde Hospital, Changde, China
| | - Lingzi Ouyang
- Department of Pathology, Xiangya Changde Hospital, Changde, China
| | - Shangjun Wu
- Department of Pathology, Xiangya Changde Hospital, Changde, China
| | - Chencheng Fu
- Department of Pathology, Xiangya Changde Hospital, Changde, China
| | - Ying Liu
- Department of Pathology, Xiangya Changde Hospital, Changde, China
| | - Yuanhong Liu
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Institute for Rational and Safe Medication Practices, Xiangya Hospital, Central South University, Changsha, China
| | - Yuanliang Yan
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Institute for Rational and Safe Medication Practices, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Yuanliang Yan,
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9
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Reale A, Tagliatesta S, Zardo G, Zampieri M. Counteracting aged DNA methylation states to combat ageing and age-related diseases. Mech Ageing Dev 2022; 206:111695. [PMID: 35760211 DOI: 10.1016/j.mad.2022.111695] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 06/09/2022] [Accepted: 06/22/2022] [Indexed: 12/18/2022]
Abstract
DNA methylation (DNAm) overwrites information about multiple extrinsic factors on the genome. Age is one of these factors. Age causes characteristic DNAm changes that are thought to be not only major drivers of normal ageing but also precursors to diseases, cancer being one of these. Although there is still much to learn about the relationship between ageing, age-related diseases and DNAm, we now know how to interpret some of the effects caused by age in the form of changes in methylation marks at specific loci. In fact, these changes form the basis of the so called "epigenetic clocks", which translate the genomic methylation profile into an "epigenetic age". Epigenetic age does not only estimate chronological age but can also predict the risk of chronic diseases and mortality. Epigenetic age is believed to be one of the most accurate metrics of biological age. Initial evidence has recently been gathered pointing to the possibility that the rate of epigenetic ageing can be slowed down or even reversed. In this review, we discuss some of the most relevant advances in this field. Expected outcome is that this approach can provide insights into how to preserve health and reduce the impact of ageing diseases in humans.
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Affiliation(s)
- Anna Reale
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
| | - Stefano Tagliatesta
- Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, 00161 Rome, Italy.
| | - Giuseppe Zardo
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
| | - Michele Zampieri
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
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10
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Xue Y, Yang Y, Tian H, Quan H, Liu S, Zhang L, Yang L, Zhu H, Wu H, Gao YQ. Computational characterization of domain-segregated 3D chromatin structure and segmented DNA methylation status in carcinogenesis. Mol Oncol 2022; 16:699-716. [PMID: 34708506 PMCID: PMC8807360 DOI: 10.1002/1878-0261.13127] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/17/2021] [Accepted: 10/26/2021] [Indexed: 12/12/2022] Open
Abstract
The high-order chromatin structure, together with DNA methylation and other epigenetic marks, plays a vital role in gene regulation and displays abnormal status in cancer cells. Theoretical analyses are expected to provide a more unified understanding of the multi-omics data on the large variety of samples, and hopefully a common picture of carcinogenesis. In particular, we are interested in the question of whether an underlying origin DNA sequence exists for these epigenetic alterations. The human genome consists of two types of megabase-sized domain based on the distribution of CpG islands (CGIs) that show distinct structural, epigenetic, and transcriptional properties: CGI-rich and CGI-poor domains. Through an integrated analysis of chromatin structure, DNA methylation, and RNA sequencing data, we found that, in carcinogenesis, the two different types of domain display different structural changes and have an increased number of DNA methylation differences and transcriptional-level differences, compared with in noncancer cells. We also compared the structural features among carcinogenesis, senescence, and mitosis, showing the possible connection between chromatin structure and cell state, which could affect vital cancer-related properties. In summary, chromatin structure, DNA methylation, and gene expression, as well as their changes observed in several types of cancers, show a dependence on multiscale DNA sequence heterogeneity.
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Affiliation(s)
- Yue Xue
- Beijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijingChina
| | - Ying Yang
- Beijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijingChina
| | - Hao Tian
- Beijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijingChina
| | - Hui Quan
- Beijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijingChina
| | - Sirui Liu
- Beijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijingChina
| | - Ling Zhang
- Beijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijingChina
| | - Lu Yang
- The MOE Key Laboratory of Cell Proliferation and DifferentiationSchool of Life SciencesPeking UniversityBeijingChina
- Peking‐Tsinghua Center for Life SciencesPeking UniversityBeijingChina
| | - Haichuan Zhu
- The MOE Key Laboratory of Cell Proliferation and DifferentiationSchool of Life SciencesPeking UniversityBeijingChina
- Peking‐Tsinghua Center for Life SciencesPeking UniversityBeijingChina
| | - Hong Wu
- The MOE Key Laboratory of Cell Proliferation and DifferentiationSchool of Life SciencesPeking UniversityBeijingChina
- Peking‐Tsinghua Center for Life SciencesPeking UniversityBeijingChina
- Peking University Institute of HematologyNational Clinical Research Center for Hematologic DiseasePeking University People’s HospitalBeijingChina
| | - Yi Qin Gao
- Beijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijingChina
- Biomedical Pioneering Innovation Center (BIOPIC)Peking UniversityBeijingChina
- Beijing Advanced Innovation Center for Genomics (ICG)Peking UniversityBeijingChina
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11
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Pastor WA, Kwon SY. Distinctive aspects of the placental epigenome and theories as to how they arise. Cell Mol Life Sci 2022; 79:569. [PMID: 36287261 PMCID: PMC9606139 DOI: 10.1007/s00018-022-04568-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 08/18/2022] [Accepted: 09/21/2022] [Indexed: 11/26/2022]
Abstract
The placenta has a methylome dramatically unlike that of any somatic cell type. Among other distinctions, it features low global DNA methylation, extensive “partially methylated domains” packed in dense heterochromatin and methylation of hundreds of CpG islands important in somatic development. These features attract interest in part because a substantial fraction of human cancers feature the exact same phenomena, suggesting parallels between epigenome formation in placentation and cancer. Placenta also features an expanded set of imprinted genes, some of which come about by distinctive developmental pathways. Recent discoveries, some from far outside the placental field, shed new light on how the unusual placental epigenetic state may arise. Nonetheless, key questions remain unresolved.
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Affiliation(s)
- William A Pastor
- Department of Biochemistry, McGill University, Montreal, QC, H3G 1Y6, Canada.
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3A 1A3, Canada.
| | - Sin Young Kwon
- Department of Biochemistry, McGill University, Montreal, QC, H3G 1Y6, Canada
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12
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Heery R, Schaefer MH. DNA methylation variation along the cancer epigenome and the identification of novel epigenetic driver events. Nucleic Acids Res 2021; 49:12692-12705. [PMID: 34871444 PMCID: PMC8682778 DOI: 10.1093/nar/gkab1167] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 11/08/2021] [Accepted: 11/10/2021] [Indexed: 12/12/2022] Open
Abstract
While large-scale studies applying various statistical approaches have identified hundreds of mutated driver genes across various cancer types, the contribution of epigenetic changes to cancer remains more enigmatic. This is partly due to the fact that certain regions of the cancer genome, due to their genomic and epigenomic properties, are more prone to dysregulated DNA methylation than others. Thus, it has been difficult to distinguish which promoter methylation changes are really driving carcinogenesis from those that are mostly just a reflection of their genomic location. By developing a novel method that corrects for epigenetic covariates, we reveal a small, concise set of potential epigenetic driver events. Interestingly, those changes suggest different modes of epigenetic carcinogenesis: first, we observe recurrent inactivation of known cancer genes across tumour types suggesting a higher convergence on common tumour suppressor pathways than previously anticipated. Second, in prostate cancer, a cancer type with few recurrently mutated genes, we demonstrate how the epigenome primes tumours towards higher tolerance of other aberrations.
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Affiliation(s)
- Richard Heery
- Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Martin H Schaefer
- Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
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13
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DNA methylation and histone variants in aging and cancer. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2021; 364:1-110. [PMID: 34507780 DOI: 10.1016/bs.ircmb.2021.06.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Aging-related diseases such as cancer can be traced to the accumulation of molecular disorder including increased DNA mutations and epigenetic drift. We provide a comprehensive review of recent results in mice and humans on modifications of DNA methylation and histone variants during aging and in cancer. Accumulated errors in DNA methylation maintenance lead to global decreases in DNA methylation with relaxed repression of repeated DNA and focal hypermethylation blocking the expression of tumor suppressor genes. Epigenetic clocks based on quantifying levels of DNA methylation at specific genomic sites is proving to be a valuable metric for estimating the biological age of individuals. Histone variants have specialized functions in transcriptional regulation and genome stability. Their concentration tends to increase in aged post-mitotic chromatin, but their effects in cancer are mainly determined by their specialized functions. Our increased understanding of epigenetic regulation and their modifications during aging has motivated interventions to delay or reverse epigenetic modifications using the epigenetic clocks as a rapid readout for efficacity. Similarly, the knowledge of epigenetic modifications in cancer is suggesting new approaches to target these modifications for cancer therapy.
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14
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Patkar S, Heselmeyer-Haddad K, Auslander N, Hirsch D, Camps J, Bronder D, Brown M, Chen WD, Lokanga R, Wangsa D, Wangsa D, Hu Y, Lischka A, Braun R, Emons G, Ghadimi BM, Gaedcke J, Grade M, Montagna C, Lazebnik Y, Difilippantonio MJ, Habermann JK, Auer G, Ruppin E, Ried T. Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies. Genome Med 2021; 13:93. [PMID: 34034815 PMCID: PMC8147418 DOI: 10.1186/s13073-021-00905-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 05/06/2021] [Indexed: 12/12/2022] Open
Abstract
Background Many carcinomas have recurrent chromosomal aneuploidies specific to the tissue of tumor origin. The reason for this specificity is not completely understood. Methods In this study, we looked at the frequency of chromosomal arm gains and losses in different cancer types from the The Cancer Genome Atlas (TCGA) and compared them to the mean gene expression of each chromosome arm in corresponding normal tissues of origin from the Genotype-Tissue Expression (GTEx) database, in addition to the distribution of tissue-specific oncogenes and tumor suppressors on different chromosome arms. Results This analysis revealed a complex picture of factors driving tumor karyotype evolution in which some recurrent chromosomal copy number reflect the chromosome arm-wide gene expression levels of the their normal tissue of tumor origin. Conclusions We conclude that the cancer type-specific distribution of chromosomal arm gains and losses is potentially “hardwiring” gene expression levels characteristic of the normal tissue of tumor origin, in addition to broadly modulating the expression of tissue-specific tumor driver genes. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-021-00905-y.
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Affiliation(s)
- Sushant Patkar
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA.,Department of Computer Science, University of Maryland, College Park, USA
| | - Kerstin Heselmeyer-Haddad
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Noam Auslander
- Department of Computer Science, University of Maryland, College Park, USA.,National Center for Biotechnology Information, NIH, Bethesda, MD, 20892, USA
| | - Daniela Hirsch
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Jordi Camps
- Gastrointestinal and Pancreatic Oncology Team, Institut D'Investigacions Biomèdiques August Pi i Sunyer, (IDIBAPS), Hospital Clínic of Barcelona, CIBEREHD, 08036, Barcelona, Spain
| | - Daniel Bronder
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Markus Brown
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Wei-Dong Chen
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Rachel Lokanga
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Darawalee Wangsa
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Danny Wangsa
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Yue Hu
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Annette Lischka
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA.,Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University Medical Center Schleswig Holstein, Campus Lübeck, Lübeck, Germany
| | - Rüdiger Braun
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA.,Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University Medical Center Schleswig Holstein, Campus Lübeck, Lübeck, Germany
| | - Georg Emons
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA.,Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, Germany
| | - B Michael Ghadimi
- Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, Germany
| | - Jochen Gaedcke
- Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, Germany
| | - Marian Grade
- Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, Germany
| | - Cristina Montagna
- Department of Genetics and Pathology, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Michael J Difilippantonio
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Jens K Habermann
- Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University Medical Center Schleswig Holstein, Campus Lübeck, Lübeck, Germany
| | - Gert Auer
- Department of Oncology and Pathology, CancerCenter Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Thomas Ried
- Section of Cancer Genomics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA.
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15
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Pérez RF, Tejedor JR, Santamarina-Ojeda P, Martínez VL, Urdinguio RG, Villamañán L, Candiota AP, Sarró NMV, Barradas M, Fernandez-Marcos PJ, Serrano M, Fernández AF, Fraga MF. Conservation of Aging and Cancer Epigenetic Signatures across Human and Mouse. Mol Biol Evol 2021; 38:3415-3435. [PMID: 33871658 PMCID: PMC8321527 DOI: 10.1093/molbev/msab112] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Aging and cancer are two interrelated processes, with aging being a major risk factor for the development of cancer. Parallel epigenetic alterations have been described for both, although differences, especially within the DNA hypomethylation scenario, have also been recently reported. Although many of these observations arise from the use of mouse models, there is a lack of systematic comparisons of human and mouse epigenetic patterns in the context of disease. However, such comparisons are significant as they allow to establish the extent to which some of the observed similarities or differences arise from pre-existing species-specific epigenetic traits. Here, we have used reduced representation bisulfite sequencing to profile the brain methylomes of young and old, tumoral and nontumoral brain samples from human and mouse. We first characterized the baseline epigenomic patterns of the species and subsequently focused on the DNA methylation alterations associated with cancer and aging. Next, we described the functional genomic and epigenomic context associated with the alterations, and finally, we integrated our data to study interspecies DNA methylation levels at orthologous CpG sites. Globally, we found considerable differences between the characteristics of DNA methylation alterations in cancer and aging in both species. Moreover, we describe robust evidence for the conservation of the specific cancer and aging epigenomic signatures in human and mouse. Our observations point toward the preservation of the functional consequences of these alterations at multiple levels of genomic regulation. Finally, our analyses reveal a role for the genomic context in explaining disease- and species-specific epigenetic traits.
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Affiliation(s)
- Raúl F Pérez
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Juan Ramón Tejedor
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Pablo Santamarina-Ojeda
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Virginia López Martínez
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Rocío G Urdinguio
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Lucía Villamañán
- Unitat de Bioquímica de Biociències, Departament de Bioquímica i Biologia Molecular, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Ana Paula Candiota
- Unitat de Bioquímica de Biociències, Departament de Bioquímica i Biologia Molecular, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - N Mí Vidal Sarró
- Servicio Anatomía Patológica, Hospital Universitari de Bellvitge-IDIBELL, Hospitalet de Llobregat, Spain
| | - Marta Barradas
- Metabolic Syndrome Group-BIOPROMET, Madrid Institute for Advanced Studies-IMDEA Food, CEI UAM+CSIC, Madrid, Spain
| | - Pablo Jose Fernandez-Marcos
- Metabolic Syndrome Group-BIOPROMET, Madrid Institute for Advanced Studies-IMDEA Food, CEI UAM+CSIC, Madrid, Spain
| | - Manuel Serrano
- Tumour Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.,Cellular Plasticity and Disease Group, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.,Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Agusín F Fernández
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Mario F Fraga
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
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16
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Lindner M, Verhagen I, Viitaniemi HM, Laine VN, Visser ME, Husby A, van Oers K. Temporal changes in DNA methylation and RNA expression in a small song bird: within- and between-tissue comparisons. BMC Genomics 2021; 22:36. [PMID: 33413102 PMCID: PMC7792223 DOI: 10.1186/s12864-020-07329-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 12/15/2020] [Indexed: 12/25/2022] Open
Abstract
Background DNA methylation is likely a key mechanism regulating changes in gene transcription in traits that show temporal fluctuations in response to environmental conditions. To understand the transcriptional role of DNA methylation we need simultaneous within-individual assessment of methylation changes and gene expression changes over time. Within-individual repeated sampling of tissues, which are essential for trait expression is, however, unfeasible (e.g. specific brain regions, liver and ovary for reproductive timing). Here, we explore to what extend between-individual changes in DNA methylation in a tissue accessible for repeated sampling (red blood cells (RBCs)) reflect such patterns in a tissue unavailable for repeated sampling (liver) and how these DNA methylation patterns are associated with gene expression in such inaccessible tissues (hypothalamus, ovary and liver). For this, 18 great tit (Parus major) females were sacrificed at three time points (n = 6 per time point) throughout the pre-laying and egg-laying period and their blood, hypothalamus, ovary and liver were sampled. Results We simultaneously assessed DNA methylation changes (via reduced representation bisulfite sequencing) and changes in gene expression (via RNA-seq and qPCR) over time. In general, we found a positive correlation between changes in CpG site methylation in RBCs and liver across timepoints. For CpG sites in close proximity to the transcription start site, an increase in RBC methylation over time was associated with a decrease in the expression of the associated gene in the ovary. In contrast, no such association with gene expression was found for CpG site methylation within the gene body or the 10 kb up- and downstream regions adjacent to the gene body. Conclusion Temporal changes in DNA methylation are largely tissue-general, indicating that changes in RBC methylation can reflect changes in DNA methylation in other, often less accessible, tissues such as the liver in our case. However, associations between temporal changes in DNA methylation with changes in gene expression are mostly tissue- and genomic location-dependent. The observation that temporal changes in DNA methylation within RBCs can relate to changes in gene expression in less accessible tissues is important for a better understanding of how environmental conditions shape traits that temporally change in expression in wild populations. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-020-07329-9.
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Affiliation(s)
- Melanie Lindner
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, Wageningen, 6700, AB, The Netherlands. .,Chronobiology Unit, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands.
| | - Irene Verhagen
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, Wageningen, 6700, AB, The Netherlands.,Wageningen University & Research, Wageningen, The Netherlands
| | - Heidi M Viitaniemi
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.,Institute of Vertebrate Biology, Czech Academy of Sciences, Prague, Czech Republic.,Department of Biology, University of Turku, Turku, Finland
| | - Veronika N Laine
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, Wageningen, 6700, AB, The Netherlands.,Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Marcel E Visser
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, Wageningen, 6700, AB, The Netherlands.,Chronobiology Unit, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
| | - Arild Husby
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.,Evolutionary Biology, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden.,Department of Biology, NTNU, Centre for Biodiversity Dynamics, Trondheim, Norway
| | - Kees van Oers
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, Wageningen, 6700, AB, The Netherlands.
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17
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Correia Dias H, Corte-Real F, Cunha E, Manco L. DNA methylation age estimation from human bone and teeth. AUST J FORENSIC SCI 2020. [DOI: 10.1080/00450618.2020.1805011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Helena Correia Dias
- Research Centre for Anthropology and Health (CIAS), Department of Life Sciences, University of Coimbra, Coimbra, Portugal
- Centre for Functional Ecology (CEF), Laboratory of Forensic Anthropology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
- National Institute of Legal Medicine and Forensic Sciences, Coimbra, Portugal
| | - Francisco Corte-Real
- National Institute of Legal Medicine and Forensic Sciences, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Eugénia Cunha
- Centre for Functional Ecology (CEF), Laboratory of Forensic Anthropology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
- National Institute of Legal Medicine and Forensic Sciences, Coimbra, Portugal
| | - Licínio Manco
- Research Centre for Anthropology and Health (CIAS), Department of Life Sciences, University of Coimbra, Coimbra, Portugal
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18
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Differential Methylation Levels in CpGs of the BIN1 Gene in Individuals With Alzheimer Disease. Alzheimer Dis Assoc Disord 2020; 33:321-326. [PMID: 31335457 DOI: 10.1097/wad.0000000000000329] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Late-onset Alzheimer disease (LOAD) is the most common dementia worldwide. APOE-[Latin Small Letter Open E]4 and BIN1 (Bridging Integrator 1) have been implicated in the pathogenesis of this disease, but, although DNA methylation of dinucleotide CpGs in the BIN1 gene influences alterations, it has not been studied in Hispanics. OBJECTIVE The objective of this study was to evaluate the BIN1 3' intergenic region DNA methylation patterns in a Colombian sample of LOAD patients. METHODS A case-control study was conducted in 50 individuals with LOAD and 50 age-sex matched controls to determine associations of LOAD with DNA methylation. DNA was isolated from peripheral blood, and methylation levels of 8 CpGs were estimated by bisulfite conversion followed by Sanger sequencing with direct PCR analysis. Logistic regression models adjusted by age, sex, and APOE were used to calculate risk associations between methylation levels and LOAD. RESULTS Overall, participants with LOAD had significantly lower methylation levels on CpG26 (0.86±0.11 vs. 0.95±0.05; P>0.001), CpG44 (0.84±0.09 vs. 0.94±0.06; P=0.001), and CpG87 (0.64±0.12 vs. 0.82±0.10; P>0.001). Adjusted regression models showed that decreased methylation levels of these CpGs remained as risk factors for LOAD (P<0.05). CONCLUSIONS Hypomethylation of CpGs in BIN1 might play an important role in the expression of BIN1 and may be a biomarker for identifying individuals at high risk of developing LOAD.
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19
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Kinetics and mechanisms of mitotic inheritance of DNA methylation and their roles in aging-associated methylome deterioration. Cell Res 2020; 30:980-996. [PMID: 32581343 DOI: 10.1038/s41422-020-0359-9] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 05/27/2020] [Indexed: 12/16/2022] Open
Abstract
Mitotic inheritance of the DNA methylome is a challenging task for the maintenance of cell identity. Whether DNA methylation pattern in different genomic contexts can all be faithfully maintained is an open question. A replication-coupled DNA methylation maintenance model was proposed decades ago, but some observations suggest that a replication-uncoupled maintenance mechanism exists. However, the capacity and the underlying molecular events of replication-uncoupled maintenance are unclear. By measuring maintenance kinetics at the single-molecule level and assessing mutant cells with perturbation of various mechanisms, we found that the kinetics of replication-coupled maintenance are governed by the UHRF1-Ligase 1 and PCNA-DNMT1 interactions, whereas nucleosome occupancy and the interaction between UHRF1 and methylated H3K9 specifically regulate replication-uncoupled maintenance. Surprisingly, replication-uncoupled maintenance is sufficiently robust to largely restore the methylome when replication-coupled maintenance is severely impaired. However, solo-WCGW sites and other CpG sites displaying aging- and cancer-associated hypomethylation exhibit low maintenance efficiency, suggesting that although quite robust, mitotic inheritance of methylation is imperfect and that this imperfection may contribute to selective hypomethylation during aging and tumorigenesis.
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20
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Li XF, Zhang TG, Zhang YX. Correlation among VEGFR3 gene promoter methylation, protein overexpression, and clinical pathology in early gastric cancer. Transl Cancer Res 2020; 9:3499-3506. [PMID: 35117715 PMCID: PMC8798734 DOI: 10.21037/tcr.2020.03.74] [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: 10/14/2019] [Accepted: 02/02/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND The occurrence and development of gastric cancer is a multi-factor, multi-stage, multi-gene abnormal accumulation process. Both genetic and epigenetic mechanisms play an important role in the molecular mechanism of gastric cancer. DNA methylation is one of the most studied epigenetic expression mechanisms. To study the correlation between gene promoter methylation status and protein expression of vascular endothelial growth factor receptor 3 (VEGFR3), as well as their association with clinicopathological features in early gastric cancer (EGC) cases. METHODS Immunohistochemical analysis and methylation-specific PCR (MSP) were used to detect the expression of VEGFR3 protein and methylation status of the VEGFR3 promoter in 50 cases of EGC and their paired normal gastric mucosa tissues. The level of DNA methylation of the VEGFR3 promoter, in situ VEGFR3 protein expression, and the clinicopathological characteristics of EGC patients were statistically analyzed. RESULTS The positive rate of VEGFR3 protein expression in EGC tumor tissue (60%) was significantly higher than that in the normal gastric mucosa (10%). The detectable methylation frequency of VEGFR3 promoter in EGC tumor tissue (48%) was significantly lower than that in the normal gastric mucosa (85%). As anticipated, the methylation level of the VEGFR3 gene promoter was negatively associated with the overexpression of VEGFR3 protein. In addition, methylation status of the VEGFR3 gene promoter was positively correlated with lymph node metastasis in EGC patients (P<0.05), but was not linked to patients' gender, age, tumor size, degree of differentiation, or tumor invasion depth (P>0.05). CONCLUSIONS Hypomethylation of the VEGFR3 gene promoter is one of the major mechanisms underlying VEGFR3 gene overexpression in EGC tumor tissues and is related to lymph node metastasis in EGC patients. DNA methylation of VEGFR3 is expected to become a molecular diagnostic and prognostic biomarker for EGC.
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Affiliation(s)
- Xiu-Feng Li
- Department of Pathology, Wei Fang People’s Hospital, Weifang 261041, China
- Shandong University School of Medicine of China, Jinan 250012, China
| | - Ting-Guo Zhang
- Shandong University School of Medicine of China, Jinan 250012, China
- Department of Pathology, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Yun-Xiang Zhang
- Department of Pathology, Wei Fang People’s Hospital, Weifang 261041, China
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21
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Zhang SC, Wang MY, Feng JR, Chang Y, Ji SR, Wu Y. Reversible promoter methylation determines fluctuating expression of acute phase proteins. eLife 2020; 9:51317. [PMID: 32223889 PMCID: PMC7136028 DOI: 10.7554/elife.51317] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 03/27/2020] [Indexed: 12/15/2022] Open
Abstract
Acute phase reactants (APRs) are secretory proteins exhibiting large expression changes in response to proinflammatory cytokines. Here we show that the expression pattern of a major human APR, that is C-reactive protein (CRP), is casually determined by DNMT3A and TET2-tuned promoter methylation status. CRP features a CpG-poor promoter with its CpG motifs located in binding sites of STAT3, C/EBP-β and NF-κB. These motifs are highly methylated at the resting state, but undergo STAT3- and NF-κB-dependent demethylation upon cytokine stimulation, leading to markedly enhanced recruitment of C/EBP-β that boosts CRP expression. Withdrawal of cytokines, by contrast, results in a rapid recovery of promoter methylation and termination of CRP induction. Further analysis suggests that reversible methylation also regulates the expression of highly inducible genes carrying CpG-poor promoters with APRs as representatives. Therefore, these CpG-poor promoters may evolve CpG-containing TF binding sites to harness dynamic methylation for prompt and reversible responses.
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Affiliation(s)
- Shi-Chao Zhang
- MOE Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Ming-Yu Wang
- MOE Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Jun-Rui Feng
- MOE Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, China
| | - Yue Chang
- MOE Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Shang-Rong Ji
- MOE Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Yi Wu
- MOE Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, China
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22
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Zhang Y, Wu X, Kai Y, Lee CH, Cheng F, Li Y, Zhuang Y, Ghaemmaghami J, Chuang KH, Liu Z, Meng Y, Keswani M, Gough NR, Wu X, Zhu W, Tzatsos A, Peng W, Seto E, Sotomayor EM, Zheng X. Secretome profiling identifies neuron-derived neurotrophic factor as a tumor-suppressive factor in lung cancer. JCI Insight 2019; 4:129344. [PMID: 31852841 DOI: 10.1172/jci.insight.129344] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 11/13/2019] [Indexed: 12/12/2022] Open
Abstract
Clinical and preclinical studies show tissue-specific differences in tumorigenesis. Tissue specificity is controlled by differential gene expression. We prioritized genes that encode secreted proteins according to their preferential expression in normal lungs to identify candidates associated with lung cancer. Indeed, most of the lung-enriched genes identified in our analysis have known or suspected roles in lung cancer. We focused on the gene encoding neuron-derived neurotrophic factor (NDNF), which had not yet been associated with lung cancer. We determined that NDNF was preferentially expressed in the normal adult lung and that its expression was decreased in human lung adenocarcinoma and a mouse model of this cancer. Higher expression of NDNF was associated with better clinical outcome of patients with lung adenocarcinoma. Purified NDNF inhibited proliferation of lung cancer cells, whereas silencing NDNF promoted tumor cell growth in culture and in xenograft models. We determined that NDNF is downregulated through DNA hypermethylation near CpG island shores in human lung adenocarcinoma. Furthermore, the lung cancer-related DNA hypermethylation sites corresponded to the methylation sites that occurred in tissues with low NDNF expression. Thus, by analyzing the tissue-specific secretome, we identified a tumor-suppressive factor, NDNF, which is associated with patient outcomes in lung adenocarcinoma.
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Affiliation(s)
- Ya Zhang
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Xuefeng Wu
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Yan Kai
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.,Department of Physics, George Washington University Columbian College of Arts and Sciences, Washington, DC, USA
| | - Chia-Han Lee
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.,Department of Biochemistry and Molecular Medicine
| | - Fengdong Cheng
- GW Cancer Center and.,Division of Hematology and Oncology, Department of Medicine, and
| | - Yixuan Li
- GW Cancer Center and.,Department of Biochemistry and Molecular Medicine
| | - Yongbao Zhuang
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Javid Ghaemmaghami
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Kun-Han Chuang
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Zhuo Liu
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Yunxiao Meng
- GW Cancer Center and.,Department of Biochemistry and Molecular Medicine
| | - Meghana Keswani
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Nancy R Gough
- Center for Translational Medicine, Department of Surgery, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Xiaojun Wu
- Department of Pathology, Johns Hopkins Sibley Memorial Hospital, Washington, DC, USA.,Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Wenge Zhu
- GW Cancer Center and.,Department of Biochemistry and Molecular Medicine
| | - Alexandros Tzatsos
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Weiqun Peng
- GW Cancer Center and.,Department of Physics, George Washington University Columbian College of Arts and Sciences, Washington, DC, USA
| | - Edward Seto
- GW Cancer Center and.,Department of Biochemistry and Molecular Medicine
| | - Eduardo M Sotomayor
- GW Cancer Center and.,Division of Hematology and Oncology, Department of Medicine, and
| | - Xiaoyan Zheng
- GW Cancer Center and.,Department of Anatomy and Cell Biology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
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23
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Kader F, Ghai M, Olaniran AO. Characterization of DNA methylation-based markers for human body fluid identification in forensics: a critical review. Int J Legal Med 2019; 134:1-20. [PMID: 31713682 DOI: 10.1007/s00414-019-02181-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 10/15/2019] [Indexed: 02/07/2023]
Abstract
Body fluid identification in crime scene investigations aids in reconstruction of crime scenes. Several studies have identified and reported differentially methylated sites (DMSs) and regions (DMRs) which differ between forensically relevant tissues (tDMRs) and body fluids. Diverse factors affect methylation patterns such as the environment, diets, lifestyle, disease, ethnicity, genetic variation, amongst others. Thus, it is important to analyse the stability of markers employed for forensic identification. Furthermore, even though epigenetic modifications are described as stable and heritable, epigenetic inheritance of potential markers for body fluid identification needs to be assessed in the long term. Here, we discuss the current status of reported DNA methylation-based markers and their verification studies. Such thorough investigation is crucial to develop a stable panel of DNA methylation-based markers for accurate body fluid identification.
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Affiliation(s)
- Farzeen Kader
- Discipline of Genetics, School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal (Westville Campus), Private Bag X54001, Durban, Republic of South Africa
| | - Meenu Ghai
- Discipline of Genetics, School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal (Westville Campus), Private Bag X54001, Durban, Republic of South Africa.
| | - Ademola O Olaniran
- Discipline of Microbiology, School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal (Westville Campus), Private Bag X54001, Durban, Republic of South Africa
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Yu M, Hazelton WD, Luebeck GE, Grady WM. Epigenetic Aging: More Than Just a Clock When It Comes to Cancer. Cancer Res 2019; 80:367-374. [PMID: 31694907 DOI: 10.1158/0008-5472.can-19-0924] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 08/26/2019] [Accepted: 10/24/2019] [Indexed: 12/13/2022]
Abstract
The incidence of cancer, adjusted for secular trends, is directly related to age, and advanced chronologic age is one of the most significant risk factors for cancer. Organismal aging is associated with changes at the molecular, cellular, and tissue levels and is affected by both genetic and environmental factors. The specific mechanisms through which these age-associated molecular changes contribute to the increased risk of aging-related disease, such as cancer, are incompletely understood. DNA methylation, a prominent epigenetic mark, also changes over a lifetime as part of an "epigenetic aging" process. Here, we give an update and review of epigenetic aging, in particular, the phenomena of epigenetic drift and epigenetic clock, with regard to its implication in cancer etiology. We discuss the discovery of the DNA methylation-based biomarkers for biological tissue age and the construction of various epigenetic age estimators for human clinical outcomes and health/life span. Recent studies in various types of cancer point to the significance of epigenetic aging in tumorigenesis and its potential use for cancer risk prediction. Future studies are needed to assess the potential clinical impact of strategies focused on lowering cancer risk by preventing premature aging or promoting healthy aging.
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Affiliation(s)
- Ming Yu
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
| | - William D Hazelton
- Program in Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Georg E Luebeck
- Program in Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington. .,Division of Gastroenterology, Department of Medicine, University of Washington, Seattle, Washington.,GI Cancer Prevention Program, Seattle Cancer Care Alliance, Seattle, Washington
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25
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Goossens EAC, de Vries MR, Simons KH, Putter H, Quax PHA, Nossent AY. miRMap: Profiling 14q32 microRNA Expression and DNA Methylation Throughout the Human Vasculature. Front Cardiovasc Med 2019; 6:113. [PMID: 31440517 PMCID: PMC6694280 DOI: 10.3389/fcvm.2019.00113] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 07/26/2019] [Indexed: 12/13/2022] Open
Abstract
Aims: MicroRNAs are regulators of (patho)physiological functions with tissue-specific expression patterns. However, little is known about inter-vascular differences in microRNA expression between blood vessel types or vascular beds. Differences in microRNA expression could influence cardiovascular pathophysiology at specific sites in the vasculature. Therefore, we aimed to map expression profiles of vasoactive 14q32 microRNAs throughout the human vasculature, as well as expression of vasoactive target genes of the 14q32 microRNAs. Furthermore, we aimed to map the DNA methylation status of the 14q32 locus, which has been linked to cardiovascular disease. Methods and Results: We collected 109 samples from different blood vessels, dissected during general surgery. Expression of a representative set of 17 14q32 microRNAs was measured in each sample. All 17 microRNAs showed a unique expression pattern throughout the vasculature. 14q32 microRNA expression was highest in lower limb vessels and lowest in head and neck vessels. All 17 microRNAs were expressed more abundantly in arteries than in veins. Throughout the human vasculature, we observed trends toward an inverse correlation between expression levels of the 14q32 microRNAs and their vasoactive target genes. DNA methylation of the 3 Differentially Methylated Regions (DMRs) along the 14q32 locus did not associate with primary or mature microRNA expression. However, hyper-methylation in venous coronary artery bypass grafts compared to arterial bypass grafts was observed in the Intergenic-DMR and MEG3-DMR. In patients with end-stage peripheral arterial disease we found differential DNA methylation throughout all DMRs in their lower limb veins. These findings were confirmed in a mouse model for vein-graft disease in which we found regulated 14q32 DNA methylation during the active phase of vascular remodeling. In ischemic tissues of a murine hind limb ischemia model we observed an increase in DNA methylation associated with increased ischemia over time. Conclusions: We show that 14q32 microRNAs are abundantly expressed in the human vasculature and that expression differs significantly between different blood vessels. 14q32 DNA methylation also varies throughout the vasculature and is associated with vascular health, independently of microRNA levels. These findings could have important implications for future research and for future site-specific targeting of epigenetics-based therapeutics.
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Affiliation(s)
- Eveline A C Goossens
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands.,Einthoven Laboratory for Experimental Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Margreet R de Vries
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands.,Einthoven Laboratory for Experimental Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Karin H Simons
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands.,Einthoven Laboratory for Experimental Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Hein Putter
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Paul H A Quax
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands.,Einthoven Laboratory for Experimental Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - A Yaël Nossent
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands.,Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.,Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
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26
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Abstract
Dementia is an overarching term which describes a group of symptoms that result in long-term decline in cognitive functioning that is significant enough to affect daily function. It is caused by a number of different diseases, the most common of which is Alzheimer's disease. Currently, there are no definitive biomarkers for preclinical or diagnostic use, or which differentiate between underlying disease types. The purpose of this review is to highlight several important areas of research on blood-based biomarkers of dementia, with a specific focus on epigenetic biomarkers. A systematic search of the literature identified 77 studies that compared blood DNA methylation between individuals with dementia and controls and 45 studies that measured microRNA. Very few studies were identified that focused on histone modifications. There were many promising findings from studies in the field of blood-based epigenetic biomarkers of dementia, however, a lack of consistency in study design, technologies, and platforms used for the biomarker measurement, as well as statistical analysis methods, have hampered progress. To date, there are very few findings that have been independently replicated across more than one study, indicating a preponderance of false-positive findings and the field has likely been plagued by positive publication bias. Here, we highlight and discuss several of the limitations of existing studies and provide recommendations for how these could be overcome in future research. A robust framework should be followed to enable development of the most valid and reproducible biomarkers with the strongest clinical utility. Defining a series of biomarkers that may be complimentary to each other could permit a stronger multifactorial biomarker to be developed that would allow for not only accurate dementia diagnosis but preclinical detection.
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Affiliation(s)
- Peter D Fransquet
- Department of Epidemiology and Preventive Medicine, Monash University , Melbourne , Australia.,Disease Epigenetics, Murdoch Children's Research Institute , Parkville , Australia
| | - Joanne Ryan
- Department of Epidemiology and Preventive Medicine, Monash University , Melbourne , Australia.,Disease Epigenetics, Murdoch Children's Research Institute , Parkville , Australia
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27
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Salhab A, Nordström K, Gasparoni G, Kattler K, Ebert P, Ramirez F, Arrigoni L, Müller F, Polansky JK, Cadenas C, G Hengstler J, Lengauer T, Manke T, Walter J. A comprehensive analysis of 195 DNA methylomes reveals shared and cell-specific features of partially methylated domains. Genome Biol 2018; 19:150. [PMID: 30266094 PMCID: PMC6161375 DOI: 10.1186/s13059-018-1510-5] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 08/20/2018] [Indexed: 12/12/2022] Open
Abstract
Background Partially methylated domains are extended regions in the genome exhibiting a reduced average DNA methylation level. They cover gene-poor and transcriptionally inactive regions and tend to be heterochromatic. We present a comprehensive comparative analysis of partially methylated domains in human and mouse cells, to identify structural and functional features associated with them. Results Partially methylated domains are present in up to 75% of the genome in human and mouse cells irrespective of their tissue or cell origin. Each cell type has a distinct set of partially methylated domains, and genes expressed in such domains show a strong cell type effect. The methylation level varies between cell types with a more pronounced effect in differentiating and replicating cells. The lowest level of methylation is observed in highly proliferating and immortal cancer cell lines. A decrease of DNA methylation within partially methylated domains tends to be linked to an increase in heterochromatic histone marks and a decrease of gene expression. Characteristic combinations of heterochromatic signatures in partially methylated domains are linked to domains of early and middle S-phase and late S-G2 phases of DNA replication. Conclusions Partially methylated domains are prominent signatures of long-range epigenomic organization. Integrative analysis identifies them as important general, lineage- and cell type-specific topological features. Changes in partially methylated domains are hallmarks of cell differentiation, with decreased methylation levels and increased heterochromatic marks being linked to enhanced cell proliferation. In combination with broad histone marks, partially methylated domains demarcate distinct domains of late DNA replication. Electronic supplementary material The online version of this article (10.1186/s13059-018-1510-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Abdulrahman Salhab
- Department of Genetics, Saarland University, Campus Saarbrücken, Saarbrücken, 66123, Germany
| | - Karl Nordström
- Department of Genetics, Saarland University, Campus Saarbrücken, Saarbrücken, 66123, Germany
| | - Gilles Gasparoni
- Department of Genetics, Saarland University, Campus Saarbrücken, Saarbrücken, 66123, Germany
| | - Kathrin Kattler
- Department of Genetics, Saarland University, Campus Saarbrücken, Saarbrücken, 66123, Germany
| | - Peter Ebert
- Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, 66123, Germany
| | - Fidel Ramirez
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, 79108, Germany
| | - Laura Arrigoni
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, 79108, Germany
| | - Fabian Müller
- Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, 66123, Germany
| | - Julia K Polansky
- Berlin-Brandenburg Center for Regenerative Therapies at the Charité, Berlin, Germany.,University Medicine Berlin and German Rheumatism Research Centre, Berlin, Germany
| | - Cristina Cadenas
- Leibniz Research Center for working Environment and Human Factors IfADo, Dortmund, 44139, Germany
| | - Jan G Hengstler
- Leibniz Research Center for working Environment and Human Factors IfADo, Dortmund, 44139, Germany
| | - Thomas Lengauer
- Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, 66123, Germany
| | - Thomas Manke
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, 79108, Germany
| | | | - Jörn Walter
- Department of Genetics, Saarland University, Campus Saarbrücken, Saarbrücken, 66123, Germany.
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