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Li S, Siengdee P, Hadlich F, Trakooljul N, Oster M, Reyer H, Wimmers K, Ponsuksili S. Dynamics of DNA methylation during osteogenic differentiation of porcine synovial membrane mesenchymal stem cells from two metabolically distinct breeds. Epigenetics 2024; 19:2375011. [PMID: 38956836 PMCID: PMC11225923 DOI: 10.1080/15592294.2024.2375011] [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: 01/12/2024] [Accepted: 06/26/2024] [Indexed: 07/04/2024] Open
Abstract
Mesenchymal stem cells (MSCs), with the ability to differentiate into osteoblasts, adipocytes, or chondrocytes, show evidence that the donor cell's metabolic type influences the osteogenic process. Limited knowledge exists on DNA methylation changes during osteogenic differentiation and the impact of diverse donor genetic backgrounds on MSC differentiation. In this study, synovial membrane mesenchymal stem cells (SMSCs) from two pig breeds (Angeln Saddleback, AS; German Landrace, DL) with distinct metabolic phenotypes were isolated, and the methylation pattern of SMSCs during osteogenic induction was investigated. Results showed that most differentially methylated regions (DMRs) were hypomethylated in osteogenic-induced SMSC group. These DMRs were enriched with genes of different osteogenic signalling pathways at different time points including Wnt, ECM, TGFB and BMP signalling pathways. AS pigs consistently exhibited a higher number of hypermethylated DMRs than DL pigs, particularly during the peak of osteogenesis (day 21). Predicting transcription factor motifs in regions of DMRs linked to osteogenic processes and donor breeds revealed influential motifs, including KLF1, NFATC3, ZNF148, ASCL1, FOXI1, and KLF5. These findings contribute to understanding the pattern of methylation changes promoting osteogenic differentiation, emphasizing the substantial role of donor the metabolic type and epigenetic memory of different donors on SMSC differentiation.
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Affiliation(s)
- Shuaichen Li
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Puntita Siengdee
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
- Program in Applied Biological Sciences: Environmental Health, Chulabhorn Graduate Institute, 906 Kamphaeng Phet 6 Road, Lak-Si, Bangkok, Thailand
| | - Frieder Hadlich
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Nares Trakooljul
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Michael Oster
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Henry Reyer
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Klaus Wimmers
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
- Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany
| | - Siriluck Ponsuksili
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
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Wei X, Li J, Cheng Z, Wei S, Yu G, Olsen ML. Decoding the Epigenetic Landscape: Insights into 5mC and 5hmC Patterns in Mouse Cortical Cell Types. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.06.602342. [PMID: 39026756 PMCID: PMC11257419 DOI: 10.1101/2024.07.06.602342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
The DNA modifications, 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), represent powerful epigenetic regulators of temporal and spatial gene expression. Yet, how the cooperation of these genome-wide, epigenetic marks determine unique transcriptional signatures across different brain cell populations is unclear. Here we applied Nanopore sequencing of native DNA to obtain a complete, genome-wide, single-base resolution atlas of 5mC and 5hmC modifications in neurons, astrocytes and microglia in the mouse cortex (99% genome coverage, 40 million CpG sites). In tandem with RNA sequencing, analysis of 5mC and 5hmC patterns across cell types reveals astrocytes drive uniquely high brain 5hmC levels and support two decades of research regarding methylation patterns, gene expression and alternative splicing, benchmarking this resource. As such, we provide the most comprehensive DNA methylation data in mouse brain as an interactive, online tool (NAM-Me, https://olsenlab.shinyapps.io/NAMME/) to serve as a resource dataset for those interested in the methylome landscape.
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Affiliation(s)
- Xiaoran Wei
- Biomedical and Veterinary Sciences Graduate Program, Virginia Tech, Blacksburg, VA, the United States
- School of Neuroscience, Virginia Tech, Blacksburg, VA, the United States
| | - Jiangtao Li
- School of Neuroscience, Virginia Tech, Blacksburg, VA, the United States
- Genetics, Bioinformatics and Computational Biology Graduate Program, Virginia Tech, Blacksburg, VA, the United States
| | - Zuolin Cheng
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, the United States
| | - Songtao Wei
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, the United States
| | - Guoqiang Yu
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, the United States
| | - Michelle L Olsen
- School of Neuroscience, Virginia Tech, Blacksburg, VA, the United States
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3
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Mulet-Lazaro R, van Herk S, Nuetzel M, Sijs-Szabo A, Díaz N, Kelly K, Erpelinck-Verschueren C, Schwarzfischer-Pfeilschifter L, Stanewsky H, Ackermann U, Glatz D, Raithel J, Fischer A, Pohl S, Rijneveld A, Vaquerizas JM, Thiede C, Plass C, Wouters BJ, Delwel R, Rehli M, Gebhard C. Epigenetic alterations affecting hematopoietic regulatory networks as drivers of mixed myeloid/lymphoid leukemia. Nat Commun 2024; 15:5693. [PMID: 38972954 PMCID: PMC11228033 DOI: 10.1038/s41467-024-49811-y] [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: 08/11/2023] [Accepted: 06/19/2024] [Indexed: 07/09/2024] Open
Abstract
Leukemias with ambiguous lineage comprise several loosely defined entities, often without a clear mechanistic basis. Here, we extensively profile the epigenome and transcriptome of a subgroup of such leukemias with CpG Island Methylator Phenotype. These leukemias exhibit comparable hybrid myeloid/lymphoid epigenetic landscapes, yet heterogeneous genetic alterations, suggesting they are defined by their shared epigenetic profile rather than common genetic lesions. Gene expression enrichment reveals similarity with early T-cell precursor acute lymphoblastic leukemia and a lymphoid progenitor cell of origin. In line with this, integration of differential DNA methylation and gene expression shows widespread silencing of myeloid transcription factors. Moreover, binding sites for hematopoietic transcription factors, including CEBPA, SPI1 and LEF1, are uniquely inaccessible in these leukemias. Hypermethylation also results in loss of CTCF binding, accompanied by changes in chromatin interactions involving key transcription factors. In conclusion, epigenetic dysregulation, and not genetic lesions, explains the mixed phenotype of this group of leukemias with ambiguous lineage. The data collected here constitute a useful and comprehensive epigenomic reference for subsequent studies of acute myeloid leukemias, T-cell acute lymphoblastic leukemias and mixed-phenotype leukemias.
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Affiliation(s)
- Roger Mulet-Lazaro
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Stanley van Herk
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Margit Nuetzel
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Aniko Sijs-Szabo
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Noelia Díaz
- Max Planck Institute for Molecular Biomedicine, Muenster, Germany
- Renewable Marine Resources Department, Institute of Marine Sciences (ICM-CSIC), Barcelona, Spain
| | - Katherine Kelly
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Claudia Erpelinck-Verschueren
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | | | - Hanna Stanewsky
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Ute Ackermann
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Dagmar Glatz
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Johanna Raithel
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Alexander Fischer
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Sandra Pohl
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
- Department of Conservative Dentistry and Periodontology, University Hospital Regensburg, Regensburg, Germany
| | - Anita Rijneveld
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Juan M Vaquerizas
- Max Planck Institute for Molecular Biomedicine, Muenster, Germany
- MRC London Institute of Medical Sciences, London, United Kingdom
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital 8 Campus, London, United Kingdom
| | - Christian Thiede
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | - Christoph Plass
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bas J Wouters
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
- Oncode Institute, Utrecht, the Netherlands.
| | - Ruud Delwel
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
- Oncode Institute, Utrecht, the Netherlands.
| | - Michael Rehli
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany.
- Leibniz Institute for Immunotherapy (LIT), Regensburg, Germany.
| | - Claudia Gebhard
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany.
- Leibniz Institute for Immunotherapy (LIT), Regensburg, Germany.
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Ulicevic J, Shao Z, Jasnovidova O, Bressin A, Gajos M, Ng AH, Annaldasula S, Meierhofer D, Church GM, Busskamp V, Mayer A. Uncovering the dynamics and consequences of RNA isoform changes during neuronal differentiation. Mol Syst Biol 2024; 20:767-798. [PMID: 38755290 PMCID: PMC11219738 DOI: 10.1038/s44320-024-00039-4] [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: 10/20/2023] [Revised: 04/16/2024] [Accepted: 04/18/2024] [Indexed: 05/18/2024] Open
Abstract
Static gene expression programs have been extensively characterized in stem cells and mature human cells. However, the dynamics of RNA isoform changes upon cell-state-transitions during cell differentiation, the determinants and functional consequences have largely remained unclear. Here, we established an improved model for human neurogenesis in vitro that is amenable for systems-wide analyses of gene expression. Our multi-omics analysis reveals that the pronounced alterations in cell morphology correlate strongly with widespread changes in RNA isoform expression. Our approach identifies thousands of new RNA isoforms that are expressed at distinct differentiation stages. RNA isoforms mainly arise from exon skipping and the alternative usage of transcription start and polyadenylation sites during human neurogenesis. The transcript isoform changes can remodel the identity and functions of protein isoforms. Finally, our study identifies a set of RNA binding proteins as a potential determinant of differentiation stage-specific global isoform changes. This work supports the view of regulated isoform changes that underlie state-transitions during neurogenesis.
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Affiliation(s)
- Jelena Ulicevic
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Zhihao Shao
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany
| | - Olga Jasnovidova
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Annkatrin Bressin
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Martyna Gajos
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany
| | - Alex Hm Ng
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, USA
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, USA
| | - Siddharth Annaldasula
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - David Meierhofer
- Mass Spectrometry Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - George M Church
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, USA
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, USA
| | - Volker Busskamp
- Department of Ophthalmology, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Andreas Mayer
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany.
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Qin X, Lu J, Wu P, Zhang C, Shi L, Zhu P. Charting epimutation dynamics in human hematopoietic differentiation. BLOOD SCIENCE 2024; 6:e00197. [PMID: 38872911 PMCID: PMC11175913 DOI: 10.1097/bs9.0000000000000197] [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: 03/31/2024] [Accepted: 05/26/2024] [Indexed: 06/15/2024] Open
Abstract
DNA methylation plays a critical role in hematopoietic differentiation. Epimutation is a stochastic variation in DNA methylation that induces epigenetic heterogeneity. However, the effects of epimutations on normal hematopoiesis and hematopoietic diseases remain unclear. In this study, we developed a Julia package called EpiMut that enabled rapid and accurate quantification of epimutations. EpiMut was used to evaluate and provide an epimutation landscape in steady-state hematopoietic differentiation involving 13 types of blood cells ranging from hematopoietic stem/progenitor cells to mature cells. We showed that substantial genomic regions exhibited epigenetic variations rather than significant differences in DNA methylation levels between the myeloid and lymphoid lineages. Stepwise dynamics of epimutations were observed during the differentiation of each lineage. Importantly, we found that epimutation significantly enriched signals associated with lineage differentiation. Furthermore, epimutations in hematopoietic stem cells (HSCs) derived from various sources and acute myeloid leukemia were related to the function of HSCs and malignant cell disorders. Taken together, our study comprehensively documented an epimutation map and uncovered its important roles in human hematopoiesis, thereby offering insights into hematopoietic regulation.
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Affiliation(s)
- Xiaohuan Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Department of Stem Cell and Regenerative Medicine, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Jiayi Lu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Department of Stem Cell and Regenerative Medicine, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Peng Wu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Department of Stem Cell and Regenerative Medicine, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Chunyong Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Department of Stem Cell and Regenerative Medicine, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Lei Shi
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Ping Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Department of Stem Cell and Regenerative Medicine, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
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6
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Liu Y, Yi J, Wu P, Zhang J, Li X, Li J, Zhou L, Liu Y, Xu H, Chen E, Zhang H, Liang M, Liu P, Pan X, Lu Y. Wemics: A Single-Base Resolution Methylation Quantification Method for Enhanced Prediction of Epigenetic Regulation. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308884. [PMID: 38544480 PMCID: PMC11151077 DOI: 10.1002/advs.202308884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 03/04/2024] [Indexed: 06/06/2024]
Abstract
DNA methylation, an epigenetic mechanism that alters gene expression without changing DNA sequence, is essential for organism development and key biological processes like genomic imprinting and X-chromosome inactivation. Despite tremendous efforts in DNA methylation research, accurate quantification of cytosine methylation remains a challenge. Here, a single-base methylation quantification approach is introduced by weighting methylation of consecutive CpG sites (Wemics) in genomic regions. Wemics quantification of DNA methylation better predicts its regulatory impact on gene transcription and identifies differentially methylated regions (DMRs) with more biological relevance. Most Wemics-quantified DMRs in lung cancer are epigenetically conserved and recurrently occurred in other primary cancers from The Cancer Genome Atlas (TCGA), and their aberrant alterations can serve as promising pan-cancer diagnostic markers. It is further revealed that these detected DMRs are enriched in transcription factor (TF) binding motifs, and methylation of these TF binding motifs and TF expression synergistically regulate target gene expression. Using Wemics on epigenomic-transcriptomic data from the large lung cancer cohort, a dozen novel genes with oncogenic potential are discovered that are upregulated by hypomethylation but overlooked by other quantification methods. These findings increase the understanding of the epigenetic mechanism by which DNA methylation regulates gene expression.
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Affiliation(s)
- Yi Liu
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
- Institute of BioinformaticsZhejiang UniversityHangzhou310058China
| | - Jiani Yi
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Pin Wu
- Department of Thoracic SurgeryThe Second Affiliated HospitalZhejiang University School of MedicineZhejiang UniversityHangzhou310009China
| | - Jun Zhang
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Xufan Li
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Jia Li
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Liyuan Zhou
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
- Institute of BioinformaticsZhejiang UniversityHangzhou310058China
| | - Yong Liu
- Department of PhysiologyThe University of ArizonaTucsonAZ85721USA
| | - Haiming Xu
- Institute of BioinformaticsZhejiang UniversityHangzhou310058China
| | - Enguo Chen
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Honghe Zhang
- Department of PathologyResearch Unit of Intelligence Classification of Tumor Pathology and Precision TherapyChinese Academy of Medical SciencesZhejiang University School of MedicineHangzhou310058China
| | - Mingyu Liang
- Department of PhysiologyThe University of ArizonaTucsonAZ85721USA
| | - Pengyuan Liu
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
- Department of PhysiologyThe University of ArizonaTucsonAZ85721USA
- Cancer centerZhejiang UniversityHangzhou310058China
| | - Xiaoqing Pan
- Department of MathematicsShanghai Normal UniversityShanghai200233China
| | - Yan Lu
- Cancer centerZhejiang UniversityHangzhou310058China
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological DiseasesDepartment of Gynecologic OncologyWomen's Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310029China
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7
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Gao D, Yi WW, Liu B, Zhang CE, Yang CC, Zeng L, Li L, Luo G, Zhang L, Ju ZY, Wang JB. Tetrahydroxy stilbene glucoside rejuvenates aging hematopoietic stem cells with predilection for lymphoid differentiation via AMPK and Tet2. J Adv Res 2024:S2090-1232(24)00170-X. [PMID: 38704089 DOI: 10.1016/j.jare.2024.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/26/2024] [Accepted: 04/26/2024] [Indexed: 05/06/2024] Open
Abstract
INTRODUCTION Aging of hematopoietic stem cells (HSCs) has emerged as an important challenge to human health. Recent advances have raised the prospect of rejuvenating aging HSCs via specific medical interventions, including pharmacological treatments. Nonetheless, efforts to develop such drugs are still in infancy until now. OBJECTIVES We aimed to screen the prospective agents that can rejuvenate aging HSCs and explore the potential mechanisms. METHODS We screened a set of natural anti-aging compounds through oral administration to sub-lethally irradiated mice, and identified 2,3,5,4'-tetrahydroxystilbene-2-O-β-D-glucoside (TSG) as a potent rejuvenating agent for aging HSCs. Then naturally aged mice were used for the follow-up assessment to determine the HSC rejuvenating potential of TSG. Finally, based on the transcriptome and DNA methylation analysis, we validated the role of the AMP-activated protein kinase (AMPK)-ten-eleven-translocation 2 (Tet2) axis (the AMPK-Tet2 axis) as the underlying mechanisms of TSG for ameliorating HSCs aging. RESULTS TSG treatment not only significantly increased the absolute number of common lymphoid progenitors (CLPs) along with B lymphocytes, but also boosted the HSCs/CLPs repopulation potential of aging mice. Further elaborated mechanism research demonstrated that TSG supplementation restored the stemness of aging HSCs, as well as promoted an epigenetic reprograming that was associated with an improved regenerative capacity and an increased rate of lymphopoiesis. Such effects were diminished when the mice were co-treated with an AMPK inhibitor, or when it was performed in Tet2 knockout mice as well as senescent cells assay. CONCLUSION TSG is effective in rejuvenating aging HSCs by modulating the AMPK- Tet2 axis and thus represents a potential candidate for developing effective HSC rejuvenating therapies.
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Affiliation(s)
- Dan Gao
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nervous System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing 100053, China; Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education, Guizhou Medical University, Guiyang 550004, China
| | - Wei-Wei Yi
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Aging and Regenerative Medicine, Jinan University, Guangzhou, Guangdong 510632, China
| | - Bo Liu
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Aging and Regenerative Medicine, Jinan University, Guangzhou, Guangdong 510632, China
| | - Cong-En Zhang
- Department of Pharmacy, Beijing Friendship Hospital of Capital Medical University, Beijing 100050, China
| | - Cui-Cui Yang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nervous System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing 100053, China
| | - Li Zeng
- Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, Macau, China
| | - Lin Li
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nervous System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing 100053, China
| | - Guangbin Luo
- Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106-1712, USA; Centre for Translational Medicine, Shenzhen Bao'an Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen 518101, China.
| | - Lan Zhang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nervous System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing 100053, China.
| | - Zhen-Yu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Aging and Regenerative Medicine, Jinan University, Guangzhou, Guangdong 510632, China.
| | - Jia-Bo Wang
- School of Chinese Medicine, Capital Medical University, Beijing 100069, China.
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8
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Scherer M, Singh I, Braun M, Szu-Tu C, Kardorff M, Rühle J, Frömel R, Beneyto-Calabuig S, Raffel S, Rodriguez-Fraticelli A, Velten L. Somatic epimutations enable single-cell lineage tracing in native hematopoiesis across the murine and human lifespan. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.01.587514. [PMID: 38617287 PMCID: PMC11014487 DOI: 10.1101/2024.04.01.587514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Current approaches to lineage tracing of stem cell clones require genetic engineering or rely on sparse somatic DNA variants, which are difficult to capture at single-cell resolution. Here, we show that targeted single-cell measurements of DNA methylation at single-CpG resolution deliver joint information about cellular differentiation state and clonal identities. We develop EPI-clone, a droplet-based method for transgene-free lineage tracing, and apply it to study hematopoiesis, capturing hundreds of clonal trajectories across almost 100,000 single-cells. Using ground-truth genetic barcodes, we demonstrate that EPI-clone accurately identifies clonal lineages throughout hematopoietic differentiation. Applied to unperturbed hematopoiesis, we describe an overall decline of clonal complexity during murine ageing and the expansion of rare low-output stem cell clones. In aged human donors, we identified expanded hematopoietic clones with and without genetic lesions, and various degrees of clonal complexity. Taken together, EPI-clone enables accurate and transgene-free single-cell lineage tracing at scale.
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Affiliation(s)
- Michael Scherer
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
| | - Indranil Singh
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Martina Braun
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
| | - Chelsea Szu-Tu
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
| | - Michael Kardorff
- Department of Medicine, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Julia Rühle
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Robert Frömel
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Sergi Beneyto-Calabuig
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Simon Raffel
- Department of Medicine, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Alejo Rodriguez-Fraticelli
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Lars Velten
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
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9
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Wang Y, Riaz F, Wang W, Pu J, Liang Y, Wu Z, Pan S, Song J, Yang L, Zhang Y, Wu H, Han F, Tang J, Wang X. Functional significance of DNA methylation: epigenetic insights into Sjögren's syndrome. Front Immunol 2024; 15:1289492. [PMID: 38510251 PMCID: PMC10950951 DOI: 10.3389/fimmu.2024.1289492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/15/2024] [Indexed: 03/22/2024] Open
Abstract
Sjögren's syndrome (SjS) is a systemic, highly diverse, and chronic autoimmune disease with a significant global prevalence. It is a complex condition that requires careful management and monitoring. Recent research indicates that epigenetic mechanisms contribute to the pathophysiology of SjS by modulating gene expression and genome stability. DNA methylation, a form of epigenetic modification, is the fundamental mechanism that modifies the expression of various genes by modifying the transcriptional availability of regulatory regions within the genome. In general, adding a methyl group to DNA is linked with the inhibition of genes because it changes the chromatin structure. DNA methylation changes the fate of multiple immune cells, such as it leads to the transition of naïve lymphocytes to effector lymphocytes. A lack of central epigenetic enzymes frequently results in abnormal immune activation. Alterations in epigenetic modifications within immune cells or salivary gland epithelial cells are frequently detected during the pathogenesis of SjS, representing a robust association with autoimmune responses. The analysis of genome methylation is a beneficial tool for establishing connections between epigenetic changes within different cell types and their association with SjS. In various studies related to SjS, most differentially methylated regions are in the human leukocyte antigen (HLA) locus. Notably, the demethylation of various sites in the genome is often observed in SjS patients. The most strongly linked differentially methylated regions in SjS patients are found within genes regulated by type I interferon. This demethylation process is partly related to B-cell infiltration and disease progression. In addition, DNA demethylation of the runt-related transcription factor (RUNX1) gene, lymphotoxin-α (LTA), and myxovirus resistance protein A (MxA) is associated with SjS. It may assist the early diagnosis of SjS by serving as a potential biomarker. Therefore, this review offers a detailed insight into the function of DNA methylation in SjS and helps researchers to identify potential biomarkers in diagnosis, prognosis, and therapeutic targets.
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Affiliation(s)
- Yanqing Wang
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Farooq Riaz
- Center for Cancer Immunology, Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, China
| | - Wei Wang
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jincheng Pu
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yuanyuan Liang
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhenzhen Wu
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Shengnan Pan
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jiamin Song
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lufei Yang
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Youwei Zhang
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Huihong Wu
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Fang Han
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jianping Tang
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xuan Wang
- Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
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10
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Singh V, Nandi S, Ghosh A, Adhikary S, Mukherjee S, Roy S, Das C. Epigenetic reprogramming of T cells: unlocking new avenues for cancer immunotherapy. Cancer Metastasis Rev 2024; 43:175-195. [PMID: 38233727 DOI: 10.1007/s10555-024-10167-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 01/02/2024] [Indexed: 01/19/2024]
Abstract
T cells, a key component of cancer immunotherapy, undergo a variety of histone modifications and DNA methylation changes since their bone marrow progenitor stages before developing into CD8+ and CD4+ T cells. These T cell types can be categorized into distinct subtypes based on their functionality and properties, such as cytotoxic T cells (Tc), helper T cells (Th), and regulatory T cells (Treg) as subtypes for CD8+ and CD4+ T cells. Among these, the CD4+ CD25+ Tregs potentially contribute to cancer development and progression by lowering T effector (Teff) cell activity under the influence of the tumor microenvironment (TME). This contributes to the development of therapeutic resistance in patients with cancer. Subsequently, these individuals become resistant to monoclonal antibody therapy as well as clinically established immunotherapies. In this review, we delineate the different epigenetic mechanisms in cancer immune response and its involvement in therapeutic resistance. Furthermore, the possibility of epi-immunotherapeutic methods based on histone deacetylase inhibitors and histone methyltransferase inhibitors are under investigation. In this review we highlight EZH2 as the principal driver of cancer cell immunoediting and an immune escape regulator. We have addressed in detail how understanding T cell epigenetic regulation might bring unique inventive strategies to overcome drug resistance and increase the efficacy of cancer immunotherapy.
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Affiliation(s)
- Vipin Singh
- Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, 700064, India
- Homi Bhabha National Institute, Mumbai, 400094, India
| | - Sandhik Nandi
- Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, 700064, India
- Homi Bhabha National Institute, Mumbai, 400094, India
| | - Aritra Ghosh
- Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, 700064, India
- Indian Institute of Science Education and Research, Kolkata, India
| | - Santanu Adhikary
- Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, 700064, India
- Structural Biology & Bio-Informatics Division, CSIR-Indian Institute of Chemical Biology, 4 Raja S. C. Mullick Road, Jadavpur, Kolkata, 700032, India
| | - Shravanti Mukherjee
- Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, 700064, India
| | - Siddhartha Roy
- Structural Biology & Bio-Informatics Division, CSIR-Indian Institute of Chemical Biology, 4 Raja S. C. Mullick Road, Jadavpur, Kolkata, 700032, India
| | - Chandrima Das
- Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, 700064, India.
- Homi Bhabha National Institute, Mumbai, 400094, India.
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11
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Zhang Y, Liu F. The evolving views of hematopoiesis: from embryo to adulthood and from in vivo to in vitro. J Genet Genomics 2024; 51:3-15. [PMID: 37734711 DOI: 10.1016/j.jgg.2023.09.005] [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: 08/23/2023] [Revised: 09/13/2023] [Accepted: 09/13/2023] [Indexed: 09/23/2023]
Abstract
The hematopoietic system composed of hematopoietic stem and progenitor cells (HSPCs) and their differentiated lineages serves as an ideal model to uncover generic principles of cell fate transitions. From gastrulation onwards, there successively emerge primitive hematopoiesis (that produces specialized hematopoietic cells), pro-definitive hematopoiesis (that produces lineage-restricted progenitor cells), and definitive hematopoiesis (that produces multipotent HSPCs). These nascent lineages develop in several transient hematopoietic sites and finally colonize into lifelong hematopoietic sites. The development and maintenance of hematopoietic lineages are orchestrated by cell-intrinsic gene regulatory networks and cell-extrinsic microenvironmental cues. Owing to the progressive methodology (e.g., high-throughput lineage tracing and single-cell functional and omics analyses), our understanding of the developmental origin of hematopoietic lineages and functional properties of certain hematopoietic organs has been updated; meanwhile, new paradigms to characterize rare cell types, cell heterogeneity and its causes, and comprehensive regulatory landscapes have been provided. Here, we review the evolving views of HSPC biology during developmental and postnatal hematopoiesis. Moreover, we discuss recent advances in the in vitro induction and expansion of HSPCs, with a focus on the implications for clinical applications.
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Affiliation(s)
- Yifan Zhang
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Shandong University, Qingdao, Shandong 266237, China
| | - Feng Liu
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Shandong University, Qingdao, Shandong 266237, China; State Key Laboratory of Membrane Biology, Institute of Zoology, Institute for Stem Cell and Regeneration, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100101, China.
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12
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Switzer CH. Non-canonical nitric oxide signalling and DNA methylation: Inflammation induced epigenetic alterations and potential drug targets. Br J Pharmacol 2023. [PMID: 38116806 DOI: 10.1111/bph.16302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/29/2023] [Accepted: 09/20/2023] [Indexed: 12/21/2023] Open
Abstract
DNA methylation controls DNA accessibility to transcription factors and other regulatory proteins, thereby affecting gene expression and hence cellular identity and function. As epigenetic modifications control the transcriptome, epigenetic dysfunction is strongly associated with pathological conditions and ageing. The development of pharmacological agents that modulate the activity of major epigenetic proteins are in pre-clinical development and clinical use. However, recent publications have identified novel redox-based signalling pathways, and therefore novel drug targets, that may exert epigenetic effects. This review will discuss the recent developments in nitric oxide (NO) signalling on DNA methylation as well as potential epigenetic drug targets that have emerged from the intersection of inflammation/redox biology and epigenetic regulation.
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Affiliation(s)
- Christopher H Switzer
- William Harvey Research Institute, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Department of Molecular and Cell Biology, University of Leicester, Leicester, UK
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13
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Zhang YW, Schönberger K, Cabezas‐Wallscheid N. Bidirectional interplay between metabolism and epigenetics in hematopoietic stem cells and leukemia. EMBO J 2023; 42:e112348. [PMID: 38010205 PMCID: PMC10711668 DOI: 10.15252/embj.2022112348] [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: 08/11/2022] [Revised: 08/24/2023] [Accepted: 08/28/2023] [Indexed: 11/29/2023] Open
Abstract
During the last decades, remarkable progress has been made in further understanding the complex molecular regulatory networks that maintain hematopoietic stem cell (HSC) function. Cellular and organismal metabolisms have been shown to directly instruct epigenetic alterations, and thereby dictate stem cell fate, in the bone marrow. Epigenetic regulatory enzymes are dependent on the availability of metabolites to facilitate DNA- and histone-modifying reactions. The metabolic and epigenetic features of HSCs and their downstream progenitors can be significantly altered by environmental perturbations, dietary habits, and hematological diseases. Therefore, understanding metabolic and epigenetic mechanisms that regulate healthy HSCs can contribute to the discovery of novel metabolic therapeutic targets that specifically eliminate leukemia stem cells while sparing healthy HSCs. Here, we provide an in-depth review of the metabolic and epigenetic interplay regulating hematopoietic stem cell fate. We discuss the influence of metabolic stress stimuli, as well as alterations occurring during leukemic development. Additionally, we highlight recent therapeutic advancements toward eradicating acute myeloid leukemia cells by intervening in metabolic and epigenetic pathways.
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Affiliation(s)
- Yu Wei Zhang
- Max Planck Institute of Immunobiology and EpigeneticsFreiburgGermany
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14
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Mai L, Wen Z, Zhang Y, Gao Y, Lin G, Lian Z, Yang X, Zhou J, Lin X, Luo C, Peng W, Chen C, Peng J, Liu D, Marjani SL, Tao Q, Cui Y, Zhang J, Wu X, Weissman SM, Pan X. Shortcut barcoding and early pooling for scalable multiplex single-cell reduced-representation CpG methylation sequencing at single nucleotide resolution. Nucleic Acids Res 2023; 51:e108. [PMID: 37870443 PMCID: PMC10681715 DOI: 10.1093/nar/gkad892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 09/25/2023] [Accepted: 10/04/2023] [Indexed: 10/24/2023] Open
Abstract
DNA methylation is essential for a wide variety of biological processes, yet the development of a highly efficient and robust technology remains a challenge for routine single-cell analysis. We developed a multiplex scalable single-cell reduced representation bisulfite sequencing (msRRBS) technology. It allows cell-specific barcoded DNA fragments of individual cells to be pooled before bisulfite conversion, free of enzymatic modification or physical capture of the DNA ends, and achieves read mapping rates of 62.5 ± 3.9%, covering 60.0 ± 1.4% of CpG islands and 71.6 ± 1.6% of promoters in K562 cells. Its reproducibility is shown in duplicates of bulk cells with close to perfect correlation (R = 0.97-0.99). At a low 1 Mb of clean reads, msRRBS provides highly consistent coverage of CpG islands and promoters, outperforming the conventional methods with orders of magnitude reduction in cost. Here, we use this method to characterize the distinct methylation patterns and cellular heterogeneity of six cell lines, plus leukemia and hepatocellular carcinoma models. Taking 4 h of hands-on time, msRRBS offers a unique, highly efficient approach for dissecting methylation heterogeneity in a variety of multicellular systems.
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Affiliation(s)
- Liyao Mai
- Department of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, Guangdong Province, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Zebin Wen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Yulong Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Yu Gao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Guanchuan Lin
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Zhiwei Lian
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Xiang Yang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
- Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Jingjing Zhou
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Xianwei Lin
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
- SequMed Institute of Biomedical Sciences, Guangzhou 510530, Guangdong Province, China
| | - Chaochao Luo
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Wanwan Peng
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Caiming Chen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Jiajia Peng
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Duolian Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Sadie L Marjani
- Department of Biology, Central Connecticut State University, New Britain, CT 06050, USA
| | - Qian Tao
- Cancer Epigenetics Laboratory, Department of Clinical Oncology, State Key Laboratory of Oncology in South China, Sir YK Pao Center for Cancer and Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, 999077 Hong Kong, China
| | - Yongping Cui
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518035, Guangdong, China
| | - Junxiao Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
- SequMed Institute of Biomedical Sciences, Guangzhou 510530, Guangdong Province, China
| | - Xuedong Wu
- Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Sherman M Weissman
- Department of Genetics, Yale School of Medicine, New Haven, CT 06520, USA
| | - Xinghua Pan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
- Department of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, Guangdong Province, China
- Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518035, Guangdong, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou 510515, Guangdong Province, China
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15
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Moss J, Ben-Ami R, Shai E, Gal-Rosenberg O, Kalish Y, Klochendler A, Cann G, Glaser B, Arad A, Shemer R, Dor Y. Megakaryocyte- and erythroblast-specific cell-free DNA patterns in plasma and platelets reflect thrombopoiesis and erythropoiesis levels. Nat Commun 2023; 14:7542. [PMID: 37985773 PMCID: PMC10662131 DOI: 10.1038/s41467-023-43310-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 11/03/2023] [Indexed: 11/22/2023] Open
Abstract
Circulating cell-free DNA (cfDNA) fragments are a biological analyte with extensive utility in diagnostic medicine. Understanding the source of cfDNA and mechanisms of release is crucial for designing and interpreting cfDNA-based liquid biopsy assays. Using cell type-specific methylation markers as well as genome-wide methylation analysis, we determine that megakaryocytes, the precursors of anuclear platelets, are major contributors to cfDNA (~26%), while erythroblasts contribute 1-4% of cfDNA in healthy individuals. Surprisingly, we discover that platelets contain genomic DNA fragments originating in megakaryocytes, contrary to the general understanding that platelets lack genomic DNA. Megakaryocyte-derived cfDNA is increased in pathologies involving increased platelet production (Essential Thrombocythemia, Idiopathic Thrombocytopenic Purpura) and decreased upon reduced platelet production due to chemotherapy-induced bone marrow suppression. Similarly, erythroblast cfDNA is reflective of erythrocyte production and is elevated in patients with thalassemia. Megakaryocyte- and erythroblast-specific DNA methylation patterns can thus serve as biomarkers for pathologies involving increased or decreased thrombopoiesis and erythropoiesis, which can aid in determining the etiology of aberrant levels of erythrocytes and platelets.
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Affiliation(s)
- Joshua Moss
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Roni Ben-Ami
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Ela Shai
- Hematology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Ofer Gal-Rosenberg
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Yosef Kalish
- Hematology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Agnes Klochendler
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | | | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah University Medical Center and Faculty of Medicine, the Hebrew University, Jerusalem, Israel
| | - Ariela Arad
- Hematology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
| | - Ruth Shemer
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel.
| | - Yuval Dor
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel.
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16
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Yang C, Gao Z, Wang Y, Zhang Q, Bai M, Yang H, Guo J, Zhang Y. Genome-wide DNA methylation analysis reveals layer-specific methylation patterns in deer antler tissue. Gene 2023; 884:147744. [PMID: 37640118 DOI: 10.1016/j.gene.2023.147744] [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: 05/21/2023] [Revised: 08/16/2023] [Accepted: 08/25/2023] [Indexed: 08/31/2023]
Abstract
This paper explored using of deer antlers as a model for studying rapid growth and cartilage formation in mammals. The genes and regulatory mechanisms involved in antler chondrogenesis are poorly understood, however, previous research has suggested that DNA methylation played a key role in antler regeneration. By using fluorescence-labeled methylation-sensitive amplified polymorphism (F-MSAP), this study measured DNA methylation levels in cartilage (CA) and reserve mesenchyme (RM) cells and tissues. Results showed that RM cells (RMCs) DNA methylation levels were significantly lower than those of CA, suggesting that DNA demethylation may be involved in antler fast cartilage differentiation. The study also identified 20 methylated fragments specific to RMCs or CA using the methylation-sensitive amplified polymorphism (MSAP) technique and confirmed these findings using southern blot analysis. The data provide the first experimental evidence of a link between epigenetic regulation and rapid cartilage differentiation in antlers.
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Affiliation(s)
- Chun Yang
- College of Basic Medicine, Beihua University, Jilin, PR China.
| | - Zizheng Gao
- College of Basic Medicine, Beihua University, Jilin, PR China
| | - Yukun Wang
- School of Stomatology, Beihua University, Jilin, PR China
| | - Qi Zhang
- School of Public Health, Beihua University, Jilin, PR China
| | - Muran Bai
- School of Stomatology, Beihua University, Jilin, PR China
| | - Huiran Yang
- School of Public Health, Beihua University, Jilin, PR China
| | - Junqi Guo
- The Third Clinical Medicine Affiliated to Changchun University of Chinese Medicine, Changchun, PR China.
| | - Yan Zhang
- School of Public Health, Beihua University, Jilin, PR China.
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17
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Albinati L, Bianchi A, Beekman R. The emerging field of opportunities for single-cell DNA methylation studies in hematology and beyond. Front Mol Biosci 2023; 10:1286716. [PMID: 37954981 PMCID: PMC10637949 DOI: 10.3389/fmolb.2023.1286716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 10/12/2023] [Indexed: 11/14/2023] Open
Affiliation(s)
- Leone Albinati
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Agostina Bianchi
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Renée Beekman
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre Nacional d’Anàlisi Genòmica (CNAG), Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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18
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Deng Y, Tang J, Zhang J, Zou J, Zhu Q, Fan S. GraphCpG: imputation of single-cell methylomes based on locus-aware neighboring subgraphs. Bioinformatics 2023; 39:btad533. [PMID: 37647650 PMCID: PMC10516632 DOI: 10.1093/bioinformatics/btad533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 07/24/2023] [Accepted: 08/28/2023] [Indexed: 09/01/2023] Open
Abstract
MOTIVATION Single-cell DNA methylation sequencing can assay DNA methylation at single-cell resolution. However, incomplete coverage compromises related downstream analyses, outlining the importance of imputation techniques. With a rising number of cell samples in recent large datasets, scalable and efficient imputation models are critical to addressing the sparsity for genome-wide analyses. RESULTS We proposed a novel graph-based deep learning approach to impute methylation matrices based on locus-aware neighboring subgraphs with locus-aware encoding orienting on one cell type. Merely using the CpGs methylation matrix, the obtained GraphCpG outperforms previous methods on datasets containing more than hundreds of cells and achieves competitive performance on smaller datasets, with subgraphs of predicted sites visualized by retrievable bipartite graphs. Besides better imputation performance with increasing cell number, it significantly reduces computation time and demonstrates improvement in downstream analysis. AVAILABILITY AND IMPLEMENTATION The source code is freely available at https://github.com/yuzhong-deng/graphcpg.git.
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Affiliation(s)
- Yuzhong Deng
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
| | - Jianxiong Tang
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
| | - Jiyang Zhang
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
| | - Jianxiao Zou
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
- Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, Guangdong, China
| | - Que Zhu
- Department of Out-patient, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - Shicai Fan
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
- Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, Guangdong, China
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19
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Bocova L, Hubens W, Engel C, Koschmieder S, Jost E, Wagner W. Quantification of hematopoietic stem and progenitor cells by targeted DNA methylation analysis. Clin Epigenetics 2023; 15:105. [PMID: 37370186 DOI: 10.1186/s13148-023-01521-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023] Open
Abstract
Hematopoietic stem and progenitor cells (HSPCs) are quantified in daily clinical practice by flow cytometry. In this study, we provide proof of concept that HSPCs can also be estimated by targeted DNA methylation (DNAm) analysis. The DNAm levels at three individual CG dinucleotides (CpG sites) in the genes MYO1D, STK17A, and SP140 correlated with CD34+ cell numbers in mobilized peripheral blood and with blast counts in leukemia. In the future, such epigenetic biomarkers can support the evaluation of stem cell mobilization, HSPC harvesting, or blast count in leukemia.
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Affiliation(s)
- Ledio Bocova
- Institute for Stem Cell Biology, University Hospital of RWTH Aachen, Aachen, Germany
- Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany
| | - Wouter Hubens
- Institute for Stem Cell Biology, University Hospital of RWTH Aachen, Aachen, Germany
- Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany
| | - Cordula Engel
- Department of Gynecology and Obstetrics, University Hospital of RWTH Aachen, Aachen, Germany
| | - Steffen Koschmieder
- Department of Hematology, Oncology, Hemostaseology and Stem Cell Transplantation, University Hospital of RWTH Aachen, Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Aachen, Germany
| | - Edgar Jost
- Department of Hematology, Oncology, Hemostaseology and Stem Cell Transplantation, University Hospital of RWTH Aachen, Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Aachen, Germany
| | - Wolfgang Wagner
- Institute for Stem Cell Biology, University Hospital of RWTH Aachen, Aachen, Germany.
- Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Aachen, Germany.
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20
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Ferrari S, Valeri E, Conti A, Scala S, Aprile A, Di Micco R, Kajaste-Rudnitski A, Montini E, Ferrari G, Aiuti A, Naldini L. Genetic engineering meets hematopoietic stem cell biology for next-generation gene therapy. Cell Stem Cell 2023; 30:549-570. [PMID: 37146580 DOI: 10.1016/j.stem.2023.04.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/31/2023] [Accepted: 04/12/2023] [Indexed: 05/07/2023]
Abstract
The growing clinical success of hematopoietic stem/progenitor cell (HSPC) gene therapy (GT) relies on the development of viral vectors as portable "Trojan horses" for safe and efficient gene transfer. The recent advent of novel technologies enabling site-specific gene editing is broadening the scope and means of GT, paving the way to more precise genetic engineering and expanding the spectrum of diseases amenable to HSPC-GT. Here, we provide an overview of state-of-the-art and prospective developments of the HSPC-GT field, highlighting how advances in biological characterization and manipulation of HSPCs will enable the design of the next generation of these transforming therapeutics.
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Affiliation(s)
- Samuele Ferrari
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Erika Valeri
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Anastasia Conti
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Serena Scala
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Annamaria Aprile
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Raffaella Di Micco
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Anna Kajaste-Rudnitski
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Eugenio Montini
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Giuliana Ferrari
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy; Vita-Salute San Raffaele University, Milan 20132, Italy
| | - Alessandro Aiuti
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy; Vita-Salute San Raffaele University, Milan 20132, Italy
| | - Luigi Naldini
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy; Vita-Salute San Raffaele University, Milan 20132, Italy.
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21
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Yang S, Yang Z, Yang J. 4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies. Int J Biol Macromol 2023; 231:123180. [PMID: 36646347 DOI: 10.1016/j.ijbiomac.2023.123180] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/26/2022] [Accepted: 12/30/2022] [Indexed: 01/15/2023]
Abstract
N4-methylcytosine (4mC) is an important DNA chemical modification pattern which is a new methylation modification discovered in recent years and plays critical roles in gene expression regulation, defense against invading genetic elements, genomic imprinting, and so on. Identifying 4mC site from DNA sequence segment contributes to discovering more novel modification patterns. In this paper, we present a model called 4mCBERT that encodes DNA sequence segments by sequence characteristics including one-hot, electron-ion interaction pseudopotential, nucleotide chemical property, word2vec and chemical information containing physicochemical properties (PCP), chemical bidirectional encoder representations from transformers (chemical BERT) and employs ensemble learning framework to develop a prediction model. PCP and chemical BERT features are firstly constructed and applied to predict 4mC sites and show positive contributions to identifying 4mC. For the Matthew's Correlation Coefficient, 4mCBERT significantly outperformed other state-of-the-art models on six independent benchmark datasets including A. thaliana, C. elegans, D. melanogaster, E. coli, G. Pickering, and G. subterraneous by 4.32 % to 24.39 %, 2.52 % to 31.65 %, 2 % to 16.49 %, 6.63 % to 35.15, 8.59 % to 61.85 %, and 8.45 % to 34.45 %. Moreover, 4mCBERT is designed to allow users to predict 4mC sites and retrain 4mC prediction models. In brief, 4mCBERT shows higher performance on six benchmark datasets by incorporating sequence- and chemical-driven information and is available at http://cczubio.top/4mCBERT and https://github.com/abcair/4mCBERT.
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Affiliation(s)
- Sen Yang
- School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou 213164, China; The Affiliated Changzhou No 2 People's Hospital of Nanjing Medical University, Changzhou 213164, China.
| | - Zexi Yang
- School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou 213164, China
| | - Jun Yang
- School of Educational Sciences, Yili Normal University, Yining 835000, China
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22
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Hosseini M, Lotfi‐Shahreza M, Nikpour P. Integrative analysis of DNA methylation and gene expression through machine learning identifies stomach cancer diagnostic and prognostic biomarkers. J Cell Mol Med 2023; 27:714-726. [PMID: 36779430 PMCID: PMC9983314 DOI: 10.1111/jcmm.17693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 01/15/2023] [Accepted: 01/18/2023] [Indexed: 02/14/2023] Open
Abstract
DNA methylation is an early event in tumorigenesis. Here, by integrative analysis of DNA methylation and gene expression and utilizing machine learning approaches, we introduced potential diagnostic and prognostic methylation signatures for stomach cancer. Differentially-methylated positions (DMPs) and differentially-expressed genes (DEGs) were identified using The Cancer Genome Atlas (TCGA) stomach adenocarcinoma (STAD) data. A total of 256 DMPs consisting of 140 and 116 hyper- and hypomethylated positions were identified between 443 tumour and 27 nontumour STAD samples. Gene expression analysis revealed a total of 2821 DEGs with 1247 upregulated and 1574 downregulated genes. By analysing the impact of cis and trans regulation of methylation on gene expression, a dominant negative correlation between methylation and expression was observed, while for trans regulation, in hypermethylated and hypomethylated genes, there was mainly a negative and positive correlation with gene expression, respectively. To find diagnostic biomarkers, we used 28 hypermethylated probes locating in the promoter of 27 downregulated genes. By implementing a feature selection approach, eight probes were selected and then used to build a support vector machine diagnostic model, which had an area under the curve of 0.99 and 0.97 in the training and validation (GSE30601 with 203 tumour and 94 nontumour samples) cohorts, respectively. Using 412 TCGA-STAD samples with both methylation and clinical data, we also identified four prognostic probes by implementing univariate and multivariate Cox regression analysis. In summary, our study introduced potential diagnostic and prognostic biomarkers for STAD, which demands further validation.
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Affiliation(s)
- Maryam Hosseini
- Department of Genetics and Molecular Biology, Faculty of MedicineIsfahan University of Medical SciencesIsfahanIran
| | | | - Parvaneh Nikpour
- Department of Genetics and Molecular Biology, Faculty of MedicineIsfahan University of Medical SciencesIsfahanIran
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23
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Iqbal W, Zhou W. Computational Methods for Single-cell DNA Methylome Analysis. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:48-66. [PMID: 35718270 PMCID: PMC10372927 DOI: 10.1016/j.gpb.2022.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 04/28/2022] [Accepted: 05/10/2022] [Indexed: 11/19/2022]
Abstract
Dissecting intercellular epigenetic differences is key to understanding tissue heterogeneity. Recent advances in single-cell DNA methylome profiling have presented opportunities to resolve this heterogeneity at the maximum resolution. While these advances enable us to explore frontiers of chromatin biology and better understand cell lineage relationships, they pose new challenges in data processing and interpretation. This review surveys the current state of computational tools developed for single-cell DNA methylome data analysis. We discuss critical components of single-cell DNA methylome data analysis, including data preprocessing, quality control, imputation, dimensionality reduction, cell clustering, supervised cell annotation, cell lineage reconstruction, gene activity scoring, and integration with transcriptome data. We also highlight unique aspects of single-cell DNA methylome data analysis and discuss how techniques common to other single-cell omics data analyses can be adapted to analyze DNA methylomes. Finally, we discuss existing challenges and opportunities for future development.
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Affiliation(s)
- Waleed Iqbal
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Wanding Zhou
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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24
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An Y, Zhao X, Zhang Z, Xia Z, Yang M, Ma L, Zhao Y, Xu G, Du S, Wu X, Zhang S, Hong X, Jin X, Sun K. DNA methylation analysis explores the molecular basis of plasma cell-free DNA fragmentation. Nat Commun 2023; 14:287. [PMID: 36653380 PMCID: PMC9849216 DOI: 10.1038/s41467-023-35959-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 01/10/2023] [Indexed: 01/19/2023] Open
Abstract
Plasma cell-free DNA (cfDNA) are small molecules generated through a non-random fragmentation procedure. Despite commendable translational values in cancer liquid biopsy, however, the biology of cfDNA, especially the principles of cfDNA fragmentation, remains largely elusive. Through orientation-aware analyses of cfDNA fragmentation patterns against the nucleosome structure and integration with multidimensional functional genomics data, here we report a DNA methylation - nuclease preference - cutting end - size distribution axis, demonstrating the role of DNA methylation as a functional molecular regulator of cfDNA fragmentation. Hence, low-level DNA methylation could increase nucleosome accessibility and alter the cutting activities of nucleases during DNA fragmentation, which further leads to variation in cutting sites and size distribution of cfDNA. We further develop a cfDNA ending preference-based metric for cancer diagnosis, whose performance has been validated by multiple pan-cancer datasets. Our work sheds light on the molecular basis of cfDNA fragmentation towards broader applications in cancer liquid biopsy.
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Affiliation(s)
- Yunyun An
- Institute of Cancer Research, Shenzhen Bay Laboratory, 518132, Shenzhen, China
| | - Xin Zhao
- Hepato-Biliary Surgery Division, Shenzhen Third People's Hospital, The Second Affiliated Hospital, Southern University of Science and Technology, 518100, Shenzhen, China
| | - Ziteng Zhang
- Hepato-Biliary Surgery Division, Shenzhen Third People's Hospital, The Second Affiliated Hospital, Southern University of Science and Technology, 518100, Shenzhen, China
| | - Zhaohua Xia
- Thoracic Surgical Department, Shenzhen Third People's Hospital, The Second Affiliated Hospital, Southern University of Science and Technology, 518100, Shenzhen, China
| | - Mengqi Yang
- Institute of Cancer Research, Shenzhen Bay Laboratory, 518132, Shenzhen, China
| | - Li Ma
- Institute of Cancer Research, Shenzhen Bay Laboratory, 518132, Shenzhen, China
| | - Yu Zhao
- Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, 518107, Shenzhen, China
| | - Gang Xu
- Department of Liver Surgery and Liver Transplant Center, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Shunda Du
- Department of Liver Surgery, Peking Union Medical College Hospital, PUMC and Chinese Academy of Medical Sciences, 100730, Beijing, Dongcheng, China
| | - Xiang'an Wu
- Department of Liver Surgery, Peking Union Medical College Hospital, PUMC and Chinese Academy of Medical Sciences, 100730, Beijing, Dongcheng, China
| | - Shuowen Zhang
- Department of Liver Surgery, Peking Union Medical College Hospital, PUMC and Chinese Academy of Medical Sciences, 100730, Beijing, Dongcheng, China
| | - Xin Hong
- Department of Biochemistry, School of Medicine, Southern University of Science and Technology, 518055, Shenzhen, China
| | - Xin Jin
- BGI-Shenzhen, 518083, Shenzhen, China. .,School of Medicine, South China University of Technology, 510006, Guangzhou, Guangdong, China.
| | - Kun Sun
- Institute of Cancer Research, Shenzhen Bay Laboratory, 518132, Shenzhen, China.
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25
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Tien FM, Lu HH, Lin SY, Tsai HC. Epigenetic remodeling of the immune landscape in cancer: therapeutic hurdles and opportunities. J Biomed Sci 2023; 30:3. [PMID: 36627707 PMCID: PMC9832644 DOI: 10.1186/s12929-022-00893-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
The tumor immune microenvironment represents a sophisticated ecosystem where various immune cell subtypes communicate with cancer cells and stromal cells. The dynamic cellular composition and functional characteristics of the immune landscape along the trajectory of cancer development greatly impact the therapeutic efficacy and clinical outcome in patients receiving systemic antitumor therapy. Mounting evidence has suggested that epigenetic mechanisms are the underpinning of many aspects of antitumor immunity and facilitate immune state transitions during differentiation, activation, inhibition, or dysfunction. Thus, targeting epigenetic modifiers to remodel the immune microenvironment holds great potential as an integral part of anticancer regimens. In this review, we summarize the epigenetic profiles and key epigenetic modifiers in individual immune cell types that define the functional coordinates of tumor permissive and non-permissive immune landscapes. We discuss the immunomodulatory roles of current and prospective epigenetic therapeutic agents, which may open new opportunities in enhancing cancer immunotherapy or overcoming existing therapeutic challenges in the management of cancer.
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Affiliation(s)
- Feng-Ming Tien
- grid.412094.a0000 0004 0572 7815Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225 Taiwan ,grid.19188.390000 0004 0546 0241Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 100233 Taiwan
| | - Hsuan-Hsuan Lu
- grid.412094.a0000 0004 0572 7815Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225 Taiwan ,grid.412094.a0000 0004 0572 7815Center for Frontier Medicine, National Taiwan University Hospital, Taipei, 100225 Taiwan
| | - Shu-Yung Lin
- grid.412094.a0000 0004 0572 7815Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225 Taiwan ,grid.19188.390000 0004 0546 0241Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 100233 Taiwan
| | - Hsing-Chen Tsai
- grid.412094.a0000 0004 0572 7815Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225 Taiwan ,grid.19188.390000 0004 0546 0241Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 100233 Taiwan ,grid.412094.a0000 0004 0572 7815Center for Frontier Medicine, National Taiwan University Hospital, Taipei, 100225 Taiwan ,grid.19188.390000 0004 0546 0241Graduate Institute of Toxicology, College of Medicine, National Taiwan University, No. 1 Jen Ai Road Section 1, Rm542, Taipei, 100233 Taiwan ,grid.412094.a0000 0004 0572 7815Department of Medical Research, National Taiwan University Hospital, Taipei, 100225 Taiwan
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26
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Li S. Inferring the Cancer Cellular Epigenome Heterogeneity via DNA Methylation Patterns. Cancer Treat Res 2023; 190:375-393. [PMID: 38113008 DOI: 10.1007/978-3-031-45654-1_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Tumor cells evolve through space and time, generating genetically and phenotypically diverse cancer cell populations that are continually subjected to the selection pressures of their microenvironment and cancer treatment.
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Affiliation(s)
- Sheng Li
- The Jackson Laboratory for Genomic Medicine and Cancer Center, Farmington, USA.
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27
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Wang Z, Xie W, Guan H. The diagnostic, prognostic role and molecular mechanism of miR-328 in human cancer. Biomed Pharmacother 2023; 157:114031. [PMID: 36413837 DOI: 10.1016/j.biopha.2022.114031] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 11/06/2022] [Accepted: 11/17/2022] [Indexed: 11/20/2022] Open
Abstract
MicroRNA are non-coding small RNAs that bind to their target mRNA and cause mRNA degradation or translation inhibition. MiRNA dysregulation is linked to a variety of human cancers and has a role in the genesis and development of cancer pathology. MiR-328 has been reported to be involved in various human cancers. And miR-328 is considered a key regulator in human cancer. It participates in biological processes such as proliferation, apoptosis, invasion, migration, and EMT. The present review will combine the basic and clinical studies to find that miR-328 promotes tumorigenesis and metastasis in human cancer. And we will describe the diagnostic, prognostic, and therapeutic value of miR-328 in various human cancers.
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Affiliation(s)
- Zhichao Wang
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao 266003, China.
| | - Wenjie Xie
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao 266003, China.
| | - Hongzai Guan
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao 266003, China.
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28
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Yan J, Wu X, Zhu Y, Cang S. Genome-wide DNA methylation profile analysis identifies an individualized predictive signature for melanoma immune response. J Cancer Res Clin Oncol 2023; 149:343-356. [PMID: 36595044 DOI: 10.1007/s00432-022-04566-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/27/2022] [Indexed: 01/04/2023]
Abstract
PURPOSE The current evaluation methods for tumor infiltrating lymphocytes (TILs), particularly CD8 + TILs, mainly rely on semiquantitative immunohistochemistry with high variability. We aimed to construct an individualized DNA methylation-based signature for CD8 + TILs (CD8 + MeTIL) that may characterize melanoma immune microenvironment and guide therapeutic selection. METHODS The transcriptome profiles and DNA methylation data of 457 melanoma patients from The Cancer Genome Atlas (TCGA) database were analyzed. Differential methylation analysis between groups with high and low CD8 + TILs was performed to select differentially methylated positions (DMPs) and define CD8 + MeTIL. The prognostic value of CD8 + MeTIL and its predictive value for immunotherapy response were investigated using multiple melanoma cohorts. RESULTS We successfully constructed the CD8 + MeTIL signature based on four DMPs. The survival analyses showed that higher CD8 + MeTIL score was associated with worse survival outcomes in TCGA-SKCM and GSE144487 cohorts. The ROC curve for the predictive analysis revealed that the survival prediction of CD8 + MeTIL score was superior compared with CD8 + TILs (CIBERSORT) and CD8B mRNA expression. Furthermore, we founded that tumors with higher CD8 + MeTIL score were marked with immunosuppressive characteristics, including low immune score and downregulated immune-related pathways. More importantly, the CD8 + MeTIL score showed a potential predictive value for the benefit from immunotherapy in two published cohorts. When combined CD8 + MeTIL with PD-L1 expression, the patient classification showed significantly different immunotherapy response rates and long-term survival outcomes. CONCLUSIONS The CD8 + MeTIL signature might be as a novel method to evaluate CD8 + TILs and guide immunotherapy approaches.
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Affiliation(s)
- Junya Yan
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450003, China
| | - Xiaowen Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Yanyan Zhu
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450003, China
| | - Shundong Cang
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450003, China.
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29
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Wang H, Han Y, Qian P. Emerging Roles of Epigenetic Regulators in Maintaining Hematopoietic Stem Cell Homeostasis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1442:29-44. [PMID: 38228957 DOI: 10.1007/978-981-99-7471-9_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Hematopoietic stem cells (HSCs) are adult stem cells with the ability of self-renewal and multilineage differentiation into functional blood cells, thus playing important roles in the homeostasis of hematopoiesis and the immune response. Continuous self-renewal of HSCs offers fresh supplies for the HSC pool, which differentiate into all kinds of mature blood cells, supporting the normal functioning of the entire blood system. Nevertheless, dysregulation of the homeostasis of hematopoiesis is often the cause of many blood diseases. Excessive self-renewal of HSCs leads to hematopoietic malignancies (e.g., leukemia), while deficiency in HSC regeneration results in pancytopenia (e.g., anemia). The regulation of hematopoietic homeostasis is finely tuned, and the rapid development of high-throughput sequencing technologies has greatly boosted research in this field. In this chapter, we will summarize the recent understanding of epigenetic regulators including DNA methylation, histone modification, chromosome remodeling, noncoding RNAs, and RNA modification that are involved in hematopoietic homeostasis, which provides fundamental basis for the development of therapeutic strategies against hematopoietic diseases.
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Affiliation(s)
- Hui Wang
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Yingli Han
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Pengxu Qian
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China.
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China.
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30
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Wang X, Liu S, Yu J. Multi-lineage Differentiation from Hematopoietic Stem Cells. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1442:159-175. [PMID: 38228964 DOI: 10.1007/978-981-99-7471-9_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
The hematopoietic stem cells (HSCs) have the ability to differentiate and give rise to all mature blood cells. Commitment to differentiation progressively limits the self-renewal potential of the original HSCs by regulating the level of lineage-specific gene expression. In this review, we will summarize the current understanding of the molecular mechanisms underlying HSC differentiation toward erythroid, myeloid, and lymphocyte lineages. Moreover, we will decipher how the single-cell technologies advance the lineage-biased HSC subpopulations and their differentiation potential.
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Affiliation(s)
- Xiaoshuang Wang
- The State Key Laboratory for Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences / Peking Union Medical College, Beijing, China.
- The Institute of Blood Transfusion, Chinese Academy of Medical Sciences / Peking Union Medical College, Chengdu, China.
| | - Siqi Liu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences / Peking Union Medical College, Beijing, China
| | - Jia Yu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences / Peking Union Medical College, Beijing, China.
- The Institute of Blood Transfusion, Chinese Academy of Medical Sciences / Peking Union Medical College, Chengdu, China.
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31
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Schönung M, Hartmann M, Krämer S, Stäble S, Hakobyan M, Kleinert E, Aurich T, Cobanoglu D, Heidel FH, Fröhling S, Milsom MD, Schlesner M, Lutsik P, Lipka DB. Dynamic DNA methylation reveals novel cis-regulatory elements in mouse hematopoiesis. Exp Hematol 2023; 117:24-42.e7. [PMID: 36368558 DOI: 10.1016/j.exphem.2022.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/02/2022] [Accepted: 11/04/2022] [Indexed: 11/09/2022]
Abstract
Differentiation of hematopoietic stem and progenitor cells to terminally differentiated immune cells is accompanied by large-scale remodeling of the DNA methylation landscape. Although significant insights into the molecular mechanisms of hematopoietic tissue regeneration were derived from mouse models, profiling of DNA methylation has been hampered by high cost or low resolution using available methods. The recent development of the Infinium Mouse Methylation BeadChip (MMBC) array facilitates methylation profiling of the mouse genome at a single CpG resolution at affordable cost. We extended the RnBeads package to provide a computational framework for the analysis of MMBC data. This framework was applied to a newly generated reference map of mouse hematopoiesis encompassing nine different cell types. Analysis of dynamically regulated CpG sites showed progressive and unidirectional DNA methylation changes from hematopoietic stem and progenitor cells to differentiated hematopoietic cells and allowed the identification of lineage- and cell type-specific DNA methylation programs. Comparison with previously published catalogs of cis-regulatory elements (CREs) revealed 12,856 novel putative CREs that were dynamically regulated by DNA methylation (mdCREs). These mdCREs were predominantly associated with patterns of cell type-specific DNA hypomethylation and could be identified as epigenetic control regions regulating the expression of key hematopoietic genes during differentiation. In summary, we established an analysis pipeline for MMBC data sets and provide a DNA methylation atlas of mouse hematopoiesis. This resource allowed us to identify novel putative CREs involved in hematopoiesis and will serve as a platform to study epigenetic regulation of normal and malignant hematopoiesis.
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Affiliation(s)
- Maximilian Schönung
- Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Mark Hartmann
- Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stephen Krämer
- Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; Faculty of Biosciences, Heidelberg University, Heidelberg, Germany; Biomedical Informatics, Data Mining and Data Analytics, Faculty of Applied Computer Science and Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Sina Stäble
- Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany
| | - Mariam Hakobyan
- Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Emely Kleinert
- Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany
| | - Theo Aurich
- Division of Experimental Hematology, German Cancer Research Center, Heidelberg, Germany; Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
| | - Defne Cobanoglu
- Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; Institute of Pharmacy and Molecular Biotechnology, Heidelberg University, Heidelberg, Germany
| | - Florian H Heidel
- Innere Medizin C, Universitätsmedizin Greifswald, Greifswald, Germany; Leibniz Institute on Aging, Fritz-Lipmann-Institute, Jena, Germany
| | - Stefan Fröhling
- Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany
| | - Michael D Milsom
- Division of Experimental Hematology, German Cancer Research Center, Heidelberg, Germany; Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany
| | - Matthias Schlesner
- Biomedical Informatics, Data Mining and Data Analytics, Faculty of Applied Computer Science and Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Pavlo Lutsik
- Division of Cancer Epigenomics, German Cancer Research Center, Heidelberg, Germany.
| | - Daniel B Lipka
- Section Translational Cancer Epigenomics, Division of Translational Medical Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany.
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Dong G, Xu X, Li Y, Ouyang W, Zhao W, Gu Y, Li J, Liu T, Zeng X, Zou H, Wang S, Chen Y, Liu S, Sun H, Liu C. Stemness-related genes revealed by single-cell profiling of naïve and stimulated human CD34 + cells from CB and mPB. Clin Transl Med 2023; 13:e1175. [PMID: 36683248 PMCID: PMC9868212 DOI: 10.1002/ctm2.1175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 12/28/2022] [Accepted: 01/03/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Hematopoietic stem cells (HSCs) from different sources show varied repopulating capacity, and HSCs lose their stemness after long-time ex vivo culture. A deep understanding of these phenomena may provide helpful insights for HSCs. METHODS Here, we applied single-cell RNA-seq (scRNA-seq) to analyse the naïve and stimulated human CD34+ cells from cord blood (CB) and mobilised peripheral blood (mPB). RESULTS We collected over 16 000 high-quality single-cell data to construct a comprehensive inference map and characterised the HSCs under a quiescent state on the hierarchy top. Then, we compared HSCs in CB with those in mPB and HSCs of naïve samples to those of cultured samples, and identified stemness-related genes (SRGs) associated with cell source (CS-SRGs) and culture time (CT-SRGs), respectively. Interestingly, CS-SRGs and CT-SRGs share genes enriched in the signalling pathways such as mRNA catabolic process, translational initiation, ribonucleoprotein complex biogenesis and cotranslational protein targeting to membrane, suggesting dynamic protein translation and processing may be a common requirement for stemness maintenance. Meanwhile, CT-SRGs are enriched in pathways involved in glucocorticoid and corticosteroid response that affect HSCs homing and engraftment. In contrast, CS-SRGs specifically contain genes related to purine and ATP metabolic process, which is crucial for HSC homeostasis in the stress settings. Particularly, when CT-SRGs are used as reference genes for the construction of the development trajectory of CD34+ cells, lymphoid and myeloid lineages are clearly separated after HSCs/MPPs. Finally, we presented an application through a small-scale drug screening using Connectivity Map (CMap) against CT-SRGs. A small molecule, cucurbitacin I, was found to efficiently expand HSCs ex vivo while maintaining its stemness. CONCLUSIONS Our findings provide new perspectives for understanding HSCs, and the strategy to identify candidate molecules through SRGs may be applicable to study other stem cells.
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Affiliation(s)
- Guoyi Dong
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijing100049China
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐ShenzhenShenzhen518083China
| | - Xiaojing Xu
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijing100049China
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐ShenzhenShenzhen518083China
| | - Yue Li
- Department of Hematology and OncologyShenzhen Children's HospitalShenzhenChina
| | - Wenjie Ouyang
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐ShenzhenShenzhen518083China
| | - Weihua Zhao
- Shenzhen Second People's HospitalFirst Affiliated Hospital of Shenzhen UniversityShenzhenChina
| | - Ying Gu
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐ShenzhenShenzhen518083China
| | - Jie Li
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijing100049China
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐ShenzhenShenzhen518083China
| | - Tianbin Liu
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijing100049China
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐ShenzhenShenzhen518083China
| | - Xinru Zeng
- China National GeneBankBGI‐ShenzhenShenzhen518120China
| | - Huilin Zou
- China National GeneBankBGI‐ShenzhenShenzhen518120China
| | - Shuguang Wang
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijing100049China
| | - Yue Chen
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐ShenzhenShenzhen518083China
| | - Sixi Liu
- Department of Hematology and OncologyShenzhen Children's HospitalShenzhenChina
| | - Hai‐Xi Sun
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijing100049China
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐BeijingBeijing102601China
| | - Chao Liu
- China National GeneBankBGI‐ShenzhenShenzhen518120China
- BGI‐ShenzhenShenzhen518083China
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Targeting DNA Methylation in Leukemia, Myelodysplastic Syndrome, and Lymphoma: A Potential Diagnostic, Prognostic, and Therapeutic Tool. Int J Mol Sci 2022; 24:ijms24010633. [PMID: 36614080 PMCID: PMC9820560 DOI: 10.3390/ijms24010633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/31/2022] Open
Abstract
DNA methylation represents a crucial mechanism of epigenetic regulation in hematologic malignancies. The methylation process is controlled by specific DNA methyl transferases and other regulators, which are often affected by genetic alterations. Global hypomethylation and hypermethylation of tumor suppressor genes are associated with hematologic cancer development and progression. Several epi-drugs have been successfully implicated in the treatment of hematologic malignancies, including the hypomethylating agents (HMAs) decitabine and azacytidine. However, combinations with other treatment modalities and the discovery of new molecules are still the subject of research to increase sensitivity to anti-cancer therapies and improve patient outcomes. In this review, we summarized the main functions of DNA methylation regulators and genetic events leading to changes in methylation landscapes. We provide current knowledge about target genes with aberrant methylation levels in leukemias, myelodysplastic syndromes, and malignant lymphomas. Moreover, we provide an overview of the clinical trials, focused mainly on the combined therapy of HMAs with other treatments and its impact on adverse events, treatment efficacy, and survival rates among hematologic cancer patients. In the era of precision medicine, a transition from genes to their regulation opens up the possibility of an epigenetic-based approach as a diagnostic, prognostic, and therapeutic tool.
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34
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The influence of high-order chromatin state in the regulation of stem cell fate. Biochem Soc Trans 2022; 50:1809-1822. [DOI: 10.1042/bst20220763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 12/14/2022]
Abstract
In eukaryotic cells, genomic DNA is hierarchically compacted by histones into chromatin, which is initially assembled by the nucleosome and further folded into orderly and flexible structures that include chromatin fiber, chromatin looping, topologically associated domains (TADs), chromosome compartments, and chromosome territories. These distinct structures and motifs build the three-dimensional (3D) genome architecture, which precisely controls spatial and temporal gene expression in the nucleus. Given that each type of cell is characterized by its own unique gene expression profile, the state of high-order chromatin plays an essential role in the cell fate decision. Accumulating evidence suggests that the plasticity of high-order chromatin is closely associated with stem cell fate. In this review, we summarize the biological roles of the state of high-order chromatin in embryogenesis, stem cell differentiation, the maintenance of stem cell identity, and somatic cell reprogramming. In addition, we highlight the roles of epigenetic factors and pioneer transcription factors (TFs) involved in regulating the state of high-order chromatin during the determination of stem cell fate and discuss how H3K9me3-heterochromatin restricts stem cell fate. In summary, we review the most recent progress in research on the regulatory functions of high-order chromatin dynamics in the determination and maintenance of stem cell fate.
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35
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Epigenetic and transcriptomic reprogramming in monocytes of severe COVID-19 patients reflects alterations in myeloid differentiation and the influence of inflammatory cytokines. Genome Med 2022; 14:134. [PMID: 36443794 PMCID: PMC9706884 DOI: 10.1186/s13073-022-01137-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 11/07/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND COVID-19 manifests with a wide spectrum of clinical phenotypes, ranging from asymptomatic and mild to severe and critical. Severe and critical COVID-19 patients are characterized by marked changes in the myeloid compartment, especially monocytes. However, little is known about the epigenetic alterations that occur in these cells during hyperinflammatory responses in severe COVID-19 patients. METHODS In this study, we obtained the DNA methylome and transcriptome of peripheral blood monocytes from severe COVID-19 patients. DNA samples extracted from CD14 + CD15- monocytes of 48 severe COVID-19 patients and 11 healthy controls were hybridized on MethylationEPIC BeadChip arrays. In parallel, single-cell transcriptomics of 10 severe COVID-19 patients were generated. CellPhoneDB was used to infer changes in the crosstalk between monocytes and other immune cell types. RESULTS We observed DNA methylation changes in CpG sites associated with interferon-related genes and genes associated with antigen presentation, concordant with gene expression changes. These changes significantly overlapped with those occurring in bacterial sepsis, although specific DNA methylation alterations in genes specific to viral infection were also identified. We also found these alterations to comprise some of the DNA methylation changes occurring during myeloid differentiation and under the influence of inflammatory cytokines. A progression of DNA methylation alterations in relation to the Sequential Organ Failure Assessment (SOFA) score was found to be related to interferon-related genes and T-helper 1 cell cytokine production. CellPhoneDB analysis of the single-cell transcriptomes of other immune cell types suggested the existence of altered crosstalk between monocytes and other cell types like NK cells and regulatory T cells. CONCLUSION Our findings show the occurrence of an epigenetic and transcriptional reprogramming of peripheral blood monocytes, which could be associated with the release of aberrant immature monocytes, increased systemic levels of pro-inflammatory cytokines, and changes in immune cell crosstalk in these patients.
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36
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Petrova V, Song R, Nordström KJV, Walter J, Wong JJL, Armstrong N, Rasko JEJ, Schmitz U. Increased chromatin accessibility facilitates intron retention in specific cell differentiation states. Nucleic Acids Res 2022; 50:11563-11579. [PMID: 36354002 PMCID: PMC9723627 DOI: 10.1093/nar/gkac994] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/05/2022] [Accepted: 10/18/2022] [Indexed: 11/11/2022] Open
Abstract
Dynamic intron retention (IR) in vertebrate cells is of widespread biological importance. Aberrant IR is associated with numerous human diseases including several cancers. Despite consistent reports demonstrating that intrinsic sequence features can help introns evade splicing, conflicting findings about cell type- or condition-specific IR regulation by trans-regulatory and epigenetic mechanisms demand an unbiased and systematic analysis of IR in a controlled experimental setting. We integrated matched mRNA sequencing (mRNA-Seq), whole-genome bisulfite sequencing (WGBS), nucleosome occupancy methylome sequencing (NOMe-Seq) and chromatin immunoprecipitation sequencing (ChIP-Seq) data from primary human myeloid and lymphoid cells. Using these multi-omics data and machine learning, we trained two complementary models to determine the role of epigenetic factors in the regulation of IR in cells of the innate immune system. We show that increased chromatin accessibility, as revealed by nucleosome-free regions, contributes substantially to the retention of introns in a cell-specific manner. We also confirm that intrinsic characteristics of introns are key for them to evade splicing. This study suggests an important role for chromatin architecture in IR regulation. With an increasing appreciation that pathogenic alterations are linked to RNA processing, our findings may provide useful insights for the development of novel therapeutic approaches that target aberrant splicing.
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Affiliation(s)
- Veronika Petrova
- Computational BioMedicine Laboratory Centenary Institute, The University of Sydney, Camperdown 2050, Australia,Gene and Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown 2050, Australia
| | - Renhua Song
- Epigenetics and RNA Biology Program Centenary Institute, The University of Sydney, Camperdown 2050, Australia,Faculty of Medicine and Health, The University of Sydney, Camperdown 2050, Australia
| | | | - Karl J V Nordström
- Laboratory of EpiGenetics, Saarland University, Campus A2 4, D-66123 Saarbrücken, Germany
| | - Jörn Walter
- Laboratory of EpiGenetics, Saarland University, Campus A2 4, D-66123 Saarbrücken, Germany
| | - Justin J L Wong
- Epigenetics and RNA Biology Program Centenary Institute, The University of Sydney, Camperdown 2050, Australia,Faculty of Medicine and Health, The University of Sydney, Camperdown 2050, Australia
| | - Nicola J Armstrong
- Mathematics and Statistics, Curtin University, Bentley, WA 6102, Australia
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Urao N, Liu J, Takahashi K, Ganesh G. Hematopoietic Stem Cells in Wound Healing Response. Adv Wound Care (New Rochelle) 2022; 11:598-621. [PMID: 34353116 PMCID: PMC9419985 DOI: 10.1089/wound.2021.0065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Significance: Emerging evidence has shown a link between the status of hematopoietic stem cells (HSCs) and wound healing responses. Thus, better understanding HSCs will contribute to further advances in wound healing research. Recent Advances: Myeloid cells such as neutrophils and monocyte-derived macrophages are critical players in the process of wound healing. HSCs actively respond to wound injury and other tissue insults, including infection and produce the effector myeloid cells, and a failing of the HSC response can result in impaired wound healing. Technological advances such as transcriptome at single-cell resolution, epigenetics, three-dimensional imaging, transgenic animals, and animal models, have provided novel concepts of myeloid generation (myelopoiesis) from HSCs, and have revealed cell-intrinsic and -extrinsic mechanisms that can impact HSC functions in the context of health conditions. Critical Issues: The newer concepts include-the programmed cellular fate at a differentiation stage that is used to be considered as the multilineage, the signaling pathways that can activate HSCs directly and indirectly, the mechanisms that can deteriorate HSCs, the roles and remodeling of the surrounding environment for HSCs and their progenitors (the niche). Future Directions: The researches on HSCs, which produce blood cells, should contribute to the development of blood biomarkers predicting a risk of chronic wounds, which may transform clinical practice of wound care with precision medicine for patients at high risk of poor healing.
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Affiliation(s)
- Norifumi Urao
- Department of Pharmacology, State University of New York Upstate Medical University, Syracuse, New York, USA.,Correspondence: Department of Pharmacology, State University of New York Upstate Medical University, 766 Irving Avenue, Weiskotten Hall Room 5322, Syracuse, NY 13210, USA.
| | - Jinghua Liu
- Department of Pharmacology, State University of New York Upstate Medical University, Syracuse, New York, USA
| | - Kentaro Takahashi
- Department of Pharmacology, State University of New York Upstate Medical University, Syracuse, New York, USA
| | - Gayathri Ganesh
- Department of Pharmacology, State University of New York Upstate Medical University, Syracuse, New York, USA
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38
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Role of TET dioxygenases in the regulation of both normal and pathological hematopoiesis. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2022; 41:294. [PMID: 36203205 PMCID: PMC9540719 DOI: 10.1186/s13046-022-02496-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 09/19/2022] [Indexed: 11/06/2022]
Abstract
The family of ten-eleven translocation dioxygenases (TETs) consists of TET1, TET2, and TET3. Although all TETs are expressed in hematopoietic tissues, only TET2 is commonly found to be mutated in age-related clonal hematopoiesis and hematopoietic malignancies. TET2 mutation causes abnormal epigenetic landscape changes and results in multiple stages of lineage commitment/differentiation defects as well as genetic instability in hematopoietic stem/progenitor cells (HSPCs). TET2 mutations are founder mutations (first hits) in approximately 40–50% of cases of TET2-mutant (TET2MT) hematopoietic malignancies and are later hits in the remaining cases. In both situations, TET2MT collaborates with co-occurring mutations to promote malignant transformation. In TET2MT tumor cells, TET1 and TET3 partially compensate for TET2 activity and contribute to the pathogenesis of TET2MT hematopoietic malignancies. Here we summarize the most recent research on TETs in regulating of both normal and pathogenic hematopoiesis. We review the concomitant mutations and aberrant signals in TET2MT malignancies. We also discuss the molecular mechanisms by which concomitant mutations and aberrant signals determine lineage commitment in HSPCs and the identity of hematopoietic malignancies. Finally, we discuss potential strategies to treat TET2MT hematopoietic malignancies, including reverting the methylation state of TET2 target genes and targeting the concomitant mutations and aberrant signals.
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39
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The immune factors driving DNA methylation variation in human blood. Nat Commun 2022; 13:5895. [PMID: 36202838 PMCID: PMC9537159 DOI: 10.1038/s41467-022-33511-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/21/2022] [Indexed: 11/08/2022] Open
Abstract
Epigenetic changes are required for normal development, yet the nature and respective contribution of factors that drive epigenetic variation in humans remain to be fully characterized. Here, we assessed how the blood DNA methylome of 884 adults is affected by DNA sequence variation, age, sex and 139 factors relating to life habits and immunity. Furthermore, we investigated whether these effects are mediated or not by changes in cellular composition, measured by deep immunophenotyping. We show that DNA methylation differs substantially between naïve and memory T cells, supporting the need for adjustment on these cell-types. By doing so, we find that latent cytomegalovirus infection drives DNA methylation variation and provide further support that the increased dispersion of DNA methylation with aging is due to epigenetic drift. Finally, our results indicate that cellular composition and DNA sequence variation are the strongest predictors of DNA methylation, highlighting critical factors for medical epigenomics studies.
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40
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Uddin MDM, Nguyen NQH, Yu B, Brody JA, Pampana A, Nakao T, Fornage M, Bressler J, Sotoodehnia N, Weinstock JS, Honigberg MC, Nachun D, Bhattacharya R, Griffin GK, Chander V, Gibbs RA, Rotter JI, Liu C, Baccarelli AA, Chasman DI, Whitsel EA, Kiel DP, Murabito JM, Boerwinkle E, Ebert BL, Jaiswal S, Floyd JS, Bick AG, Ballantyne CM, Psaty BM, Natarajan P, Conneely KN. Clonal hematopoiesis of indeterminate potential, DNA methylation, and risk for coronary artery disease. Nat Commun 2022; 13:5350. [PMID: 36097025 PMCID: PMC9468335 DOI: 10.1038/s41467-022-33093-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 09/01/2022] [Indexed: 12/15/2022] Open
Abstract
Age-related changes to the genome-wide DNA methylation (DNAm) pattern observed in blood are well-documented. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by the age-related acquisition and expansion of leukemogenic mutations in hematopoietic stem cells (HSCs), is associated with blood cancer and coronary artery disease (CAD). Epigenetic regulators DNMT3A and TET2 are the two most frequently mutated CHIP genes. Here, we present results from an epigenome-wide association study for CHIP in 582 Cardiovascular Health Study (CHS) participants, with replication in 2655 Atherosclerosis Risk in Communities (ARIC) Study participants. We show that DNMT3A and TET2 CHIP have distinct and directionally opposing genome-wide DNAm association patterns consistent with their regulatory roles, albeit both promoting self-renewal of HSCs. Mendelian randomization analyses indicate that a subset of DNAm alterations associated with these two leading CHIP genes may promote the risk for CAD.
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Affiliation(s)
- M D Mesbah Uddin
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Ngoc Quynh H Nguyen
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Akhil Pampana
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - Tetsushi Nakao
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Jan Bressler
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Joshua S Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA
| | - Michael C Honigberg
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Daniel Nachun
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Romit Bhattacharya
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Gabriel K Griffin
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Epigenomics Program, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Varuna Chander
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Genetics and Genomics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Genetics and Genomics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, 02118, USA
- Framingham Heart Study, Boston University and NHLBI/NIH, Framingham, MA, 01702, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Daniel I Chasman
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27516, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, 27516, USA
| | - Douglas P Kiel
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - Joanne M Murabito
- Framingham Heart Study, Boston University and NHLBI/NIH, Framingham, MA, 01702, USA
- Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, 02118, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 20815, USA
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
| | - Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, 98101, USA
| | - Pradeep Natarajan
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA.
| | - Karen N Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
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41
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Multi-omics analysis defines highly refractory RAS burdened immature subgroup of infant acute lymphoblastic leukemia. Nat Commun 2022; 13:4501. [PMID: 36042201 PMCID: PMC9427775 DOI: 10.1038/s41467-022-32266-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 07/22/2022] [Indexed: 11/26/2022] Open
Abstract
KMT2A-rearranged infant acute lymphoblastic leukemia (ALL) represents the most refractory type of childhood leukemia. To uncover the molecular heterogeneity of this disease, we perform RNA sequencing, methylation array analysis, whole exome and targeted deep sequencing on 84 infants with KMT2A-rearranged leukemia. Our multi-omics clustering followed by single-sample and single-cell inference of hematopoietic differentiation establishes five robust integrative clusters (ICs) with different master transcription factors, fusion partners and corresponding stages of B-lymphopoietic and early hemato-endothelial development: IRX-type differentiated (IC1), IRX-type undifferentiated (IC2), HOXA-type MLLT1 (IC3), HOXA-type MLLT3 (IC4), and HOXA-type AFF1 (IC5). Importantly, our deep mutational analysis reveals that the number of RAS pathway mutations predicts prognosis and that the most refractory subgroup of IC2 possesses 100% frequency and the heaviest burden of RAS pathway mutations. Our findings highlight the previously under-appreciated intra- and inter-patient heterogeneity of KMT2A-rearranged infant ALL and provide a rationale for the future development of genomics-guided risk stratification and individualized therapy.
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42
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RNAi screen identifies MTA1 as an epigenetic modifier of differentiation commitment in human HSPCs. Exp Hematol 2022; 115:20-29. [PMID: 36041657 DOI: 10.1016/j.exphem.2022.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/13/2022] [Accepted: 08/18/2022] [Indexed: 11/22/2022]
Abstract
The molecular mechanisms regulating key fate decisions of hematopoietic stem cells (HSCs) remain incompletely understood. Here, we targeted global shRNA libraries to primary human hematopoietic stem and progenitor cells (HSPCs) to screen for modifiers of self-renewal and differentiation, and identified metastasis-associated 1 (MTA1) as a negative regulator of human HSPC propagation in vitro. Knockdown of MTA1 by independent shRNAs in primary human cord blood (CB) HSPCs led to a cell expansion during culture and a relative accumulation of immature CD34+CD90+ cells with perturbed in vitro differentiation potential. Transplantation experiments in immunodeficient mice showed a significant reduction of human chimerism in both blood and bone marrow from HSPCs with knockdown of MTA1, possibly due to reduced maturation of blood cells. We further show that MTA1 associates with the nucleosome remodeling deacetylase (NuRD) complex in human HSPCs, and upon knockdown of MTA1 we observed an increase in H3K27Ac marks coupled with a downregulation of genes linked to differentiation towards the erythroid lineage. Altogether, our findings identify MTA1 as a novel regulator of human HSPCs in vitro and in vivo with critical functions for differentiation commitment.
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43
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Zhang Y, Xu S, Wen Z, Gao J, Li S, Weissman SM, Pan X. Sample-multiplexing approaches for single-cell sequencing. Cell Mol Life Sci 2022; 79:466. [PMID: 35927335 PMCID: PMC11073057 DOI: 10.1007/s00018-022-04482-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/25/2022] [Accepted: 07/11/2022] [Indexed: 12/12/2022]
Abstract
Single-cell sequencing is widely used in biological and medical studies. However, its application with multiple samples is hindered by inefficient sample processing, high experimental costs, ambiguous identification of true single cells, and technical batch effects. Here, we introduce sample-multiplexing approaches for single-cell sequencing in transcriptomics, epigenomics, genomics, and multiomics. In single-cell transcriptomics, sample multiplexing uses variants of native or artificial features as sample markers, enabling sample pooling and decoding. Such features include: (1) natural genetic variation, (2) nucleotide-barcode anchoring on cellular or nuclear membranes, (3) nucleotide-barcode internalization to the cytoplasm or nucleus, (4) vector-based barcode expression in cells, and (5) nucleotide-barcode incorporation during library construction. Other single-cell omics methods are based on similar concepts, particularly single-cell combinatorial indexing. These methods overcome current challenges, while enabling super-loading of single cells. Finally, selection guidelines are presented that can accelerate technological application.
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Affiliation(s)
- Yulong Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Siwen Xu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, Guangdong, 510515, China
- SequMed BioTechnology, Inc., Guangzhou, Guangdong, China
| | - Zebin Wen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, Guangdong, 510515, China
| | - Jinyu Gao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, Guangdong, 510515, China
| | - Shuang Li
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Sherman M Weissman
- Department of Genetics, Yale University School of Medicine, New Haven, CT, 06520-8005, USA
| | - Xinghua Pan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China.
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, Guangdong, 510515, China.
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China.
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44
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Stefanucci L, Frontini M. Non-coding genetic variation in regulatory elements determines thrombosis and hemostasis phenotypes. J Thromb Haemost 2022; 20:1759-1765. [PMID: 35514262 PMCID: PMC9540108 DOI: 10.1111/jth.15754] [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: 02/25/2022] [Revised: 04/27/2022] [Accepted: 05/02/2022] [Indexed: 11/26/2022]
Abstract
Since the early inception of genome-wide association studies (GWAS), it became clear that, in all diseases or traits studied, most genetic variants are likely to exert their effect on gene expression mainly by altering the function of regulatory elements. At the same time, the regulation of the gene expression field broadened its boundaries, from the univocal relationship between regulatory elements and genes to include genome organization, long-range DNA interactions, and epigenetics. Next-generation sequencing has introduced genome-wide approaches that have greatly improved our understanding of the general principles of gene expression. However, elucidating how these apply in every single genomic locus still requires painstaking experimental work, in which several independent lines of evidence are required, and often this is helped by rare genetic variants in individuals with rare diseases. This review will focus on the non-coding features of the genome involved in transcriptional regulation, that when altered, leads to known cases of inherited (familial) thrombotic and hemostatic phenotypes, emphasizing the role of enhancers and super-enhancers.
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Affiliation(s)
- Luca Stefanucci
- Department of HaematologyUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUK
- National Health Service (NHS) Blood and TransplantCambridge Biomedical CampusCambridgeUK
- British Heart Foundation, Cambridge Centre for Research ExcellenceUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUK
| | - Mattia Frontini
- Department of HaematologyUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUK
- National Health Service (NHS) Blood and TransplantCambridge Biomedical CampusCambridgeUK
- British Heart Foundation, Cambridge Centre for Research ExcellenceUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUK
- Institute of Biomedical & Clinical Science, College of Medicine and HealthUniversity of Exeter Medical SchoolExeterUK
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45
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Lorzadeh A, Hammond C, Wang F, Knapp DJHF, Wong JC, Zhu JYA, Cao Q, Heravi-Moussavi A, Carles A, Wong M, Sharafian Z, Steif J, Moksa M, Bilenky M, Lavoie PM, Eaves CJ, Hirst M. Polycomb contraction differentially regulates terminal human hematopoietic differentiation programs. BMC Biol 2022; 20:104. [PMID: 35550087 PMCID: PMC9102747 DOI: 10.1186/s12915-022-01315-1] [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: 03/02/2021] [Accepted: 04/28/2022] [Indexed: 12/05/2022] Open
Abstract
Background Lifelong production of the many types of mature blood cells from less differentiated progenitors is a hierarchically ordered process that spans multiple cell divisions. The nature and timing of the molecular events required to integrate the environmental signals, transcription factor activity, epigenetic modifications, and changes in gene expression involved are thus complex and still poorly understood. To address this gap, we generated comprehensive reference epigenomes of 8 phenotypically defined subsets of normal human cord blood. Results We describe a striking contraction of H3K27me3 density in differentiated myelo-erythroid cells that resembles a punctate pattern previously ascribed to pluripotent embryonic stem cells. Phenotypically distinct progenitor cell types display a nearly identical repressive H3K27me3 signature characterized by large organized chromatin K27-modification domains that are retained by mature lymphoid cells but lost in terminally differentiated monocytes and erythroblasts. We demonstrate that inhibition of polycomb group members predicted to control large organized chromatin K27-modification domains influences lymphoid and myeloid fate decisions of primary neonatal hematopoietic progenitors in vitro. We further show that a majority of active enhancers appear in early progenitors, a subset of which are DNA hypermethylated and become hypomethylated and induced during terminal differentiation. Conclusion Primitive human hematopoietic cells display a unique repressive H3K27me3 signature that is retained by mature lymphoid cells but is lost in monocytes and erythroblasts. Intervention data implicate that control of this chromatin state change is a requisite part of the process whereby normal human hematopoietic progenitor cells make lymphoid and myeloid fate decisions. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-022-01315-1.
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Affiliation(s)
- A Lorzadeh
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - C Hammond
- Terry Fox Laboratory, BC Cancer, Vancouver, Canada.,Department of Medicine, UBC, Vancouver, Canada
| | - F Wang
- Terry Fox Laboratory, BC Cancer, Vancouver, Canada.,Department of Medical Genetics, UBC, Vancouver, Canada
| | - D J H F Knapp
- Terry Fox Laboratory, BC Cancer, Vancouver, Canada.,Department of Medicine, UBC, Vancouver, Canada
| | - J Ch Wong
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - J Y A Zhu
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - Q Cao
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - A Heravi-Moussavi
- Canada's Michael Smith Genome Science Centre, BC Cancer, Vancouver, Canada
| | - A Carles
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - M Wong
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - Z Sharafian
- BC Children's Hospital Research Institute, Department of Pediatrics, UBC, Vancouver, Canada
| | - J Steif
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - M Moksa
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - M Bilenky
- Canada's Michael Smith Genome Science Centre, BC Cancer, Vancouver, Canada
| | - P M Lavoie
- BC Children's Hospital Research Institute, Department of Pediatrics, UBC, Vancouver, Canada
| | - C J Eaves
- Terry Fox Laboratory, BC Cancer, Vancouver, Canada.,Department of Medicine, UBC, Vancouver, Canada.,Department of Medical Genetics, UBC, Vancouver, Canada
| | - M Hirst
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada. .,Canada's Michael Smith Genome Science Centre, BC Cancer, Vancouver, Canada.
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46
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Nakauchi Y, Azizi A, Thomas D, Corces MR, Reinisch A, Sharma R, Cruz Hernandez D, Kohnke T, Karigane D, Fan A, Martinez-Krams D, Stafford M, Kaur S, Dutta R, Phan P, Ediriwickrema A, McCarthy E, Ning Y, Phillips T, Ellison CK, Guler GD, Bergamaschi A, Ku CJ, Levy S, Majeti R. The cell type specific 5hmC landscape and dynamics of healthy human hematopoiesis and TET2-mutant pre-leukemia. Blood Cancer Discov 2022; 3:346-367. [DOI: 10.1158/2643-3230.bcd-21-0143] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 02/07/2022] [Accepted: 05/04/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
The conversion of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC) is a key step in DNA demethylation that is mediated by ten-eleven-translocation (TET) enzymes, which require ascorbate/vitamin C. Here, we report the 5hmC landscape of normal hematopoiesis and identify cell type-specific 5hmC profiles associated with active transcription and chromatin accessibility of key hematopoietic regulators. We utilized CRISPR/Cas9 to model TET2 loss-of-function mutations in primary human HSPCs. Disrupted cells exhibited increased colonies in serial replating, defective erythroid/megakaryocytic differentiation, and in vivo competitive advantage and myeloid skewing coupled with reduction of 5hmC at erythroid-associated gene loci. Azacitidine and ascorbate restored 5hmC abundance and slowed or reverted the expansion of TET2-mutant clones in vivo. These results demonstrate the key role of 5hmC in normal hematopoiesis and TET2-mutant phenotypes and raise the possibility of utilizing these agents to further our understanding of pre-leukemia/clonal hematopoiesis.
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Affiliation(s)
- Yusuke Nakauchi
- Stanford University School of Medicine, Stanford, California, United States
| | - Armon Azizi
- Stanford University, Stanford, CA, United States
| | - Daniel Thomas
- University of Adelaide, Adelaide, South Australia, Australia
| | - M. Ryan Corces
- Gladstone Institute of Neurological Disease, San Fransisco, California, United States
| | - Andreas Reinisch
- Stanford University School of Medicine, Stanford, CA, United States
| | - Rajiv Sharma
- Stanford University School of Medicine, Stanford, California, United States
| | - David Cruz Hernandez
- MRC Molecular Haematology Unit and Oxford Centre for Haematology, Weatherall Institute of Molecular Medicine,, Oxford, United Kingdom
| | - Thomas Kohnke
- Stanford University School of Medicine, Stanford, California, United States
| | - Daiki Karigane
- Stanford University School of Medicine, Stanford, California, United States
| | - Amy Fan
- Stanford University, Palo Alto, United States
| | | | | | - Satinder Kaur
- Stanford University School of Medicine, Palo Alto, CA, United States
| | - Ritika Dutta
- Stanford University School of Medicine, Palo Alto, CA, United States
| | - Paul Phan
- Stanford University School of Medicine, Stanford, California, United States
| | | | | | - Yuhong Ning
- Bluestar Genomics Inc., San Diego, CA, United States
| | | | | | | | | | | | - Samuel Levy
- Bluestar Genomics, San Diego, California, United States
| | - Ravindra Majeti
- Stanford University School of Medicine, Palo Alto, CA, United States
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47
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Zhu T, Liu J, Beck S, Pan S, Capper D, Lechner M, Thirlwell C, Breeze CE, Teschendorff AE. A pan-tissue DNA methylation atlas enables in silico decomposition of human tissue methylomes at cell-type resolution. Nat Methods 2022; 19:296-306. [PMID: 35277705 PMCID: PMC8916958 DOI: 10.1038/s41592-022-01412-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 01/28/2022] [Indexed: 02/07/2023]
Abstract
Bulk-tissue DNA methylomes represent an average over many different cell types, hampering our understanding of cell-type-specific contributions to disease development. As single-cell methylomics is not scalable to large cohorts of individuals, cost-effective computational solutions are needed, yet current methods are limited to tissues such as blood. Here we leverage the high-resolution nature of tissue-specific single-cell RNA-sequencing datasets to construct a DNA methylation atlas defined for 13 solid tissue types and 40 cell types. We comprehensively validate this atlas in independent bulk and single-nucleus DNA methylation datasets. We demonstrate that it correctly predicts the cell of origin of diverse cancer types and discovers new prognostic associations in olfactory neuroblastoma and stage 2 melanoma. In brain, the atlas predicts a neuronal origin for schizophrenia, with neuron-specific differential DNA methylation enriched for corresponding genome-wide association study risk loci. In summary, the DNA methylation atlas enables the decomposition of 13 different human tissue types at a high cellular resolution, paving the way for an improved interpretation of epigenetic data. This resource presents an in silico generated DNA methylation atlas that can be used for cell-type deconvolution of human tissues.
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48
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Disatham J, Brennan L, Jiao X, Ma Z, Hejtmancik JF, Kantorow M. Changes in DNA methylation hallmark alterations in chromatin accessibility and gene expression for eye lens differentiation. Epigenetics Chromatin 2022; 15:8. [PMID: 35246225 PMCID: PMC8897925 DOI: 10.1186/s13072-022-00440-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/16/2022] [Indexed: 12/13/2022] Open
Abstract
Background Methylation at cytosines (mCG) is a well-known regulator of gene expression, but its requirements for cellular differentiation have yet to be fully elucidated. A well-studied cellular differentiation model system is the eye lens, consisting of a single anterior layer of epithelial cells that migrate laterally and differentiate into a core of fiber cells. Here, we explore the genome-wide relationships between mCG methylation, chromatin accessibility and gene expression during differentiation of eye lens epithelial cells into fiber cells. Results Whole genome bisulfite sequencing identified 7621 genomic loci exhibiting significant differences in mCG levels between lens epithelial and fiber cells. Changes in mCG levels were inversely correlated with the differentiation state-specific expression of 1285 genes preferentially expressed in either lens fiber or lens epithelial cells (Pearson correlation r = − 0.37, p < 1 × 10–42). mCG levels were inversely correlated with chromatin accessibility determined by assay for transposase-accessible sequencing (ATAC-seq) (Pearson correlation r = − 0.86, p < 1 × 10–300). Many of the genes exhibiting altered regions of DNA methylation, chromatin accessibility and gene expression levels in fiber cells relative to epithelial cells are associated with lens fiber cell structure, homeostasis and transparency. These include lens crystallins (CRYBA4, CRYBB1, CRYGN, CRYBB2), lens beaded filament proteins (BFSP1, BFSP2), transcription factors (HSF4, SOX2, HIF1A), and Notch signaling pathway members (NOTCH1, NOTCH2, HEY1, HES5). Analysis of regions exhibiting cell-type specific alterations in DNA methylation revealed an overrepresentation of consensus sequences of multiple transcription factors known to play key roles in lens cell differentiation including HIF1A, SOX2, and the MAF family of transcription factors. Conclusions Collectively, these results link DNA methylation with control of chromatin accessibility and gene expression changes required for eye lens differentiation. The results also point to a role for DNA methylation in the regulation of transcription factors previously identified to be important for lens cell differentiation. Supplementary Information The online version contains supplementary material available at 10.1186/s13072-022-00440-z.
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Affiliation(s)
- Joshua Disatham
- Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Lisa Brennan
- Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Xiaodong Jiao
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhiwei Ma
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - J Fielding Hejtmancik
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marc Kantorow
- Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA.
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49
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Somatic Dnmt3a inactivation leads to slow, canonical DNA methylation loss in murine hematopoietic cells. iScience 2022; 25:104004. [PMID: 35313694 PMCID: PMC8933692 DOI: 10.1016/j.isci.2022.104004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 02/17/2022] [Accepted: 02/24/2022] [Indexed: 01/21/2023] Open
Abstract
Mutations in the gene encoding DNA methyltransferase 3A (DNMT3A) are the most common cause of clonal hematopoiesis and are among the most common initiating events of acute myeloid leukemia (AML). Studies in germline and somatic Dnmt3a knockout mice have identified focal, canonical hypomethylation phenotypes in hematopoietic cells; however, the kinetics of methylation loss following acquired DNMT3A inactivation in hematopoietic cells is essentially unknown. Therefore, we evaluated a somatic, inducible model of hematopoietic Dnmt3a loss, and show that inactivation of Dnmt3a in murine hematopoietic cells results in a relatively slow loss of methylation at canonical sites throughout the genome; in contrast, remethylation of Dnmt3a deficient genomes in hematopoietic cells occurs much more quickly. This data suggests that slow methylation loss may contribute, at least in part, to the long latent period that characterizes clonal expansion and leukemia development in individuals with acquired DNMT3A mutations in hematopoietic stem cells.
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50
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Tian Q, Zou J, Tang J, Liang L, Cao X, Fan S. scMelody: An Enhanced Consensus-Based Clustering Model for Single-Cell Methylation Data by Reconstructing Cell-to-Cell Similarity. Front Bioeng Biotechnol 2022; 10:842019. [PMID: 35284424 PMCID: PMC8905497 DOI: 10.3389/fbioe.2022.842019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 01/24/2022] [Indexed: 11/13/2022] Open
Abstract
Single-cell DNA methylation sequencing technology has brought new perspectives to investigate epigenetic heterogeneity, supporting a need for computational methods to cluster cells based on single-cell methylation profiles. Although several methods have been developed, most of them cluster cells based on single (dis)similarity measures, failing to capture complete cell heterogeneity and resulting in locally optimal solutions. Here, we present scMelody, which utilizes an enhanced consensus-based clustering model to reconstruct cell-to-cell methylation similarity patterns and identifies cell subpopulations with the leveraged information from multiple basic similarity measures. Besides, benefitted from the reconstructed cell-to-cell similarity measure, scMelody could conveniently leverage the clustering validation criteria to determine the optimal number of clusters. Assessments on distinct real datasets showed that scMelody accurately recapitulated methylation subpopulations and outperformed existing methods in terms of both cluster partitions and the number of clusters. Moreover, when benchmarking the clustering stability of scMelody on a variety of synthetic datasets, it achieved significant clustering performance gains over existing methods and robustly maintained its clustering accuracy over a wide range of number of cells, number of clusters and CpG dropout proportions. Finally, the real case studies demonstrated the capability of scMelody to assess known cell types and uncover novel cell clusters.
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Affiliation(s)
- Qi Tian
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Jianxiao Zou
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
- Intelligent Terminal Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
- Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China
| | - Jianxiong Tang
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Liang Liang
- Cancer Center, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaohong Cao
- Department of Geriatric Endocrinology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Shicai Fan
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
- Intelligent Terminal Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
- Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China
- *Correspondence: Shicai Fan,
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