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Jin X, Zhang R, Fu Y, Zhu Q, Hong L, Wu A, Wang H. Unveiling aging dynamics in the hematopoietic system insights from single-cell technologies. Brief Funct Genomics 2024:elae019. [PMID: 38688725 DOI: 10.1093/bfgp/elae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 04/10/2024] [Accepted: 04/15/2024] [Indexed: 05/02/2024] Open
Abstract
As the demographic structure shifts towards an aging society, strategies aimed at slowing down or reversing the aging process become increasingly essential. Aging is a major predisposing factor for many chronic diseases in humans. The hematopoietic system, comprising blood cells and their associated bone marrow microenvironment, intricately participates in hematopoiesis, coagulation, immune regulation and other physiological phenomena. The aging process triggers various alterations within the hematopoietic system, serving as a spectrum of risk factors for hematopoietic disorders, including clonal hematopoiesis, immune senescence, myeloproliferative neoplasms and leukemia. The emerging single-cell technologies provide novel insights into age-related changes in the hematopoietic system. In this review, we summarize recent studies dissecting hematopoietic system aging using single-cell technologies. We discuss cellular changes occurring during aging in the hematopoietic system at the levels of the genomics, transcriptomics, epigenomics, proteomics, metabolomics and spatial multi-omics. Finally, we contemplate the future prospects of single-cell technologies, emphasizing the impact they may bring to the field of hematopoietic system aging research.
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Affiliation(s)
- Xinrong Jin
- Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, The Third People's Hospital of Deqing, Deqing Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou 311121, China
| | - Ruohan Zhang
- Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, The Third People's Hospital of Deqing, Deqing Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou 311121, China
| | - Yunqi Fu
- Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, The Third People's Hospital of Deqing, Deqing Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou 311121, China
| | - Qiunan Zhu
- Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, The Third People's Hospital of Deqing, Deqing Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou 311121, China
| | - Liquan Hong
- Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, The Third People's Hospital of Deqing, Deqing Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou 311121, China
| | - Aiwei Wu
- Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, The Third People's Hospital of Deqing, Deqing Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou 311121, China
| | - Hu Wang
- Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, The Third People's Hospital of Deqing, Deqing Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou 311121, China
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2
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Abstract
The genome is almost identical in all the cells of the body. However, the functions and morphologies of each cell are different, and the factors that determine them are the genes and proteins expressed in the cells. Over the past decades, studies on epigenetic information, such as DNA methylation, histone modifications, chromatin accessibility, and chromatin conformation have shown that these properties play a fundamental role in gene regulation. Furthermore, various diseases such as cancer have been found to be associated with epigenetic mechanisms. In this study, we summarized the biological properties of epigenetics and single-cell epigenomic profiling techniques, and discussed future challenges in the field of epigenetics.
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Affiliation(s)
- Uijin Kim
- Department of Life Science, University of Seoul, Seoul 02504, Korea
| | - Dong-Sung Lee
- Department of Life Science, University of Seoul, Seoul 02504, Korea
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3
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Daniel B, Belk JA, Meier SL, Chen AY, Sandor K, Czimmerer Z, Varga Z, Bene K, Buquicchio FA, Qi Y, Kitano H, Wheeler JR, Foster DS, Januszyk M, Longaker MT, Chang HY, Satpathy AT. Macrophage inflammatory and regenerative response periodicity is programmed by cell cycle and chromatin state. Mol Cell 2023; 83:121-138.e7. [PMID: 36521490 PMCID: PMC9831293 DOI: 10.1016/j.molcel.2022.11.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 09/06/2022] [Accepted: 11/21/2022] [Indexed: 12/15/2022]
Abstract
Cell cycle (CC) facilitates cell division via robust, cyclical gene expression. Protective immunity requires the expansion of pathogen-responsive cell types, but whether CC confers unique gene expression programs that direct the subsequent immunological response remains unclear. Here, we demonstrate that single macrophages (MFs) adopt different plasticity states in CC, which leads to heterogeneous cytokine-induced polarization, priming, and repolarization programs. Specifically, MF plasticity to interferon gamma (IFNG) is substantially reduced during S-G2/M, whereas interleukin 4 (IL-4) induces S-G2/M-biased gene expression, mediated by CC-biased enhancers. Additionally, IL-4 polarization shifts the CC-phase distribution of MFs toward the G2/M phase, providing a subpopulation-specific mechanism for IL-4-induced, dampened IFNG responsiveness. Finally, we demonstrate CC-dependent MF responses in murine and human disease settings in vivo, including Th2-driven airway inflammation and pulmonary fibrosis, where MFs express an S-G2/M-biased tissue remodeling gene program. Therefore, MF inflammatory and regenerative responses are gated by CC in a cyclical, phase-dependent manner.
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Affiliation(s)
- Bence Daniel
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA.
| | - Julia A Belk
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
| | - Stefanie L Meier
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
| | - Andy Y Chen
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
| | - Katalin Sandor
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
| | - Zsolt Czimmerer
- Department of Biochemistry and Molecular Biology, University of Debrecen, Debrecen 4032, Hungary; Institute of Genetics, Biological Research Centre, Eötvös Loránd Research Network, Szeged 6726, Hungary
| | - Zsofia Varga
- Department of Biochemistry and Molecular Biology, University of Debrecen, Debrecen 4032, Hungary
| | - Krisztian Bene
- Department of Biochemistry and Molecular Biology, University of Debrecen, Debrecen 4032, Hungary
| | - Frank A Buquicchio
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Program in Immunology, Stanford University, Stanford, CA, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
| | - Yanyan Qi
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Hugo Kitano
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Joshua R Wheeler
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Deshka S Foster
- Hagey Laboratory for Pediatric Regenerative Medicine, Division of Plastic and Reconstructive Surgery, Stanford University, Stanford, CA 94305, USA; Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael Januszyk
- Hagey Laboratory for Pediatric Regenerative Medicine, Division of Plastic and Reconstructive Surgery, Stanford University, Stanford, CA 94305, USA; Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael T Longaker
- Hagey Laboratory for Pediatric Regenerative Medicine, Division of Plastic and Reconstructive Surgery, Stanford University, Stanford, CA 94305, USA; Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA; Program in Immunology, Stanford University, Stanford, CA, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA.
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4
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Guan PY, Lee JS, Wang L, Lin KZ, Mei W, Chen L, Jiang Y. Destin2: Integrative and cross-modality analysis of single-cell chromatin accessibility data. Front Genet 2023; 14:1089936. [PMID: 36873935 PMCID: PMC9981783 DOI: 10.3389/fgene.2023.1089936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/06/2023] [Indexed: 02/19/2023] Open
Abstract
We propose Destin2, a novel statistical and computational method for cross-modality dimension reduction, clustering, and trajectory reconstruction for single-cell ATAC-seq data. The framework integrates cellular-level epigenomic profiles from peak accessibility, motif deviation score, and pseudo-gene activity and learns a shared manifold using the multimodal input, followed by clustering and/or trajectory inference. We apply Destin2 to real scATAC-seq datasets with both discretized cell types and transient cell states and carry out benchmarking studies against existing methods based on unimodal analyses. Using cell-type labels transferred with high confidence from unmatched single-cell RNA sequencing data, we adopt four performance assessment metrics and demonstrate how Destin2 corroborates and improves upon existing methods. Using single-cell RNA and ATAC multiomic data, we further exemplify how Destin2's cross-modality integrative analyses preserve true cell-cell similarities using the matched cell pairs as ground truths. Destin2 is compiled as a freely available R package available at https://github.com/yuchaojiang/Destin2.
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Affiliation(s)
- Peter Y Guan
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, Unites States
| | - Jin Seok Lee
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, Unites States
| | - Lihao Wang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, Unites States
| | - Kevin Z Lin
- Department of Statistics, University of Pennsylvania, Philadelphia, PA, Unites States
| | - Wenwen Mei
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, Unites States
| | - Li Chen
- Department of Biostatistics, University of Florida, Gainesville, FL, Unites States
| | - Yuchao Jiang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, Unites States.,Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, Unites States.,Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, Unites States
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5
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Lu T, Ang CE, Zhuang X. Spatially resolved epigenomic profiling of single cells in complex tissues. Cell 2022; 185:4448-4464.e17. [PMID: 36272405 PMCID: PMC9691621 DOI: 10.1016/j.cell.2022.09.035] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 08/22/2022] [Accepted: 09/26/2022] [Indexed: 11/06/2022]
Abstract
The recent development of spatial omics methods has enabled single-cell profiling of the transcriptome and 3D genome organization with high spatial resolution. Expanding the repertoire of spatial omics tools, a spatially resolved single-cell epigenomics method will accelerate understanding of the spatial regulation of cell and tissue functions. Here, we report a method for spatially resolved epigenomic profiling of single cells using in situ tagmentation and transcription followed by multiplexed imaging. We demonstrated the ability to profile histone modifications marking active promoters, putative enhancers, and silent promoters in individual cells, and generated high-resolution spatial atlas of hundreds of active promoters and putative enhancers in embryonic and adult mouse brains. Our results suggested putative promoter-enhancer pairs and enhancer hubs regulating developmentally important genes. We envision this approach will be generally applicable to spatial profiling of epigenetic modifications and DNA-binding proteins, advancing our understanding of how gene expression is spatiotemporally regulated by the epigenome.
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Affiliation(s)
- Tian Lu
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Department of Physics, Harvard University, Cambridge, MA 02138, USA
| | - Cheen Euong Ang
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Department of Physics, Harvard University, Cambridge, MA 02138, USA
| | - Xiaowei Zhuang
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Department of Physics, Harvard University, Cambridge, MA 02138, USA.
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6
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Ren G, Lai B, Harly C, Baek S, Ding Y, Zheng M, Cao Y, Cui K, Yang Y, Zhu J, Hager GL, Bhandoola A, Zhao K. Transcription factors TCF-1 and GATA3 are key factors for the epigenetic priming of early innate lymphoid progenitors toward distinct cell fates. Immunity 2022; 55:1402-1413.e4. [PMID: 35882235 PMCID: PMC9393082 DOI: 10.1016/j.immuni.2022.06.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/15/2022] [Accepted: 06/23/2022] [Indexed: 11/17/2022]
Abstract
The differentiation of innate lymphoid cells (ILCs) from hematopoietic stem cells needs to go through several multipotent progenitor stages. However, it remains unclear whether the fates of multipotent progenitors are predefined by epigenetic states. Here, we report the identification of distinct accessible chromatin regions in all lymphoid progenitors (ALPs), EILPs, and ILC precursors (ILCPs). Single-cell MNase-seq analyses revealed that EILPs contained distinct subpopulations epigenetically primed toward either dendritic cell lineages or ILC lineages. We found that TCF-1 and GATA3 co-bound to the lineage-defining sites for ILCs (LDS-Is), whereas PU.1 binding was enriched in the LDSs for alternative dendritic cells (LDS-As). TCF-1 and GATA3 were indispensable for the epigenetic priming of LDSs at the EILP stage. Our results suggest that the multipotency of progenitor cells is defined by the existence of a heterogeneous population of cells epigenetically primed for distinct downstream lineages, which are regulated by key transcription factors.
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Affiliation(s)
- Gang Ren
- Systems Biology Center, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA; Northwest Agriculture and Forest University, College of Animal Science and Technology, Yangling, Shaanxi 712100, China
| | - Binbin Lai
- Systems Biology Center, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA; Biomedical Engineering Department, Peking University, Beijing 100191, China; Department of Dermatology and Venereology, Peking University First Hospital, Beijing 100034, China
| | - Christelle Harly
- Laboratory of Genome Integrity, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Songjoon Baek
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yi Ding
- Laboratory of Genome Integrity, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mingzhu Zheng
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892, USA; Department of Microbiology and Immunology, School of Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Yaqiang Cao
- Systems Biology Center, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA
| | - Kairong Cui
- Systems Biology Center, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA
| | - Yu Yang
- Biomedical Engineering Department, Peking University, Beijing 100191, China; Department of Dermatology and Venereology, Peking University First Hospital, Beijing 100034, China
| | - Jinfang Zhu
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892, USA
| | - Gordon L Hager
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Avinash Bhandoola
- Laboratory of Genome Integrity, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Keji Zhao
- Systems Biology Center, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA.
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7
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Ouyang W, Luan S, Xiang X, Guo M, Zhang Y, Li G, Li X. Profiling plant histone modification at single-cell resolution using snCUT&Tag. Plant Biotechnol J 2022; 20:420-422. [PMID: 34932876 PMCID: PMC8882769 DOI: 10.1111/pbi.13768] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/12/2021] [Accepted: 12/14/2021] [Indexed: 05/26/2023]
Affiliation(s)
- Weizhi Ouyang
- National Key Laboratory of Crop Genetic ImprovementHubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Shiping Luan
- National Key Laboratory of Crop Genetic ImprovementHubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Xu Xiang
- National Key Laboratory of Crop Genetic ImprovementHubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Minrong Guo
- National Key Laboratory of Crop Genetic ImprovementHubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Yan Zhang
- National Key Laboratory of Crop Genetic ImprovementHubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Guoliang Li
- National Key Laboratory of Crop Genetic ImprovementHubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data3D Genomics Research CenterHuazhong Agricultural UniversityWuhanChina
| | - Xingwang Li
- National Key Laboratory of Crop Genetic ImprovementHubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
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8
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Kusi M, Zand M, Lin LL, Chen M, Lopez A, Lin CL, Wang CM, Lucio ND, Kirma NB, Ruan J, Huang THM, Mitsuya K. 2-Hydroxyglutarate destabilizes chromatin regulatory landscape and lineage fidelity to promote cellular heterogeneity. Cell Rep 2022; 38:110220. [PMID: 35021081 PMCID: PMC8811753 DOI: 10.1016/j.celrep.2021.110220] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 09/23/2021] [Accepted: 12/15/2021] [Indexed: 02/07/2023] Open
Abstract
The epigenome delineates lineage-specific transcriptional programs and restricts cell plasticity to prevent non-physiological cell fate transitions. Although cell diversification fosters tumor evolution and therapy resistance, upstream mechanisms that regulate the stability and plasticity of the cancer epigenome remain elusive. Here we show that 2-hydroxyglutarate (2HG) not only suppresses DNA repair but also mediates the high-plasticity chromatin landscape. A combination of single-cell epigenomics and multi-omics approaches demonstrates that 2HG disarranges otherwise well-preserved stable nucleosome positioning and promotes cell-to-cell variability. 2HG induces loss of motif accessibility to the luminal-defining transcriptional factors FOXA1, FOXP1, and GATA3 and a shift from luminal to basal-like gene expression. Breast tumors with high 2HG exhibit enhanced heterogeneity with undifferentiated epigenomic signatures linked to adverse prognosis. Further, ascorbate-2-phosphate (A2P) eradicates heterogeneity and impairs growth of high 2HG-producing breast cancer cells. These findings suggest 2HG as a key determinant of cancer plasticity and provide a rational strategy to counteract tumor cell evolution. Kusi et al. show that the oncometabolite 2-hydroxyglutarate (2HG) initiates cell-level epigenome fluctuations in the chromatin regulatory landscape, accompanied by loss of lineage fidelity. Breast tumors with high 2HG accumulation exhibit enhanced cellular heterogeneity with undifferentiated stem-like epigenomic signatures. The findings suggest metabolic derangement as a molecular origin of breast cancer heterogeneity.
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Affiliation(s)
- Meena Kusi
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Maryam Zand
- Department of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA
| | - Li-Ling Lin
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Meizhen Chen
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Anthony Lopez
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Chun-Lin Lin
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Chiou-Miin Wang
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Nicholas D Lucio
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Nameer B Kirma
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
| | - Jianhua Ruan
- Department of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA
| | - Tim H-M Huang
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
| | - Kohzoh Mitsuya
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
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9
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Abstract
The kidney is among the best characterized developing tissues, with the genes and signaling pathways that regulate embryonic and adult kidney patterning and development having been extensively identified. It is now widely understood that DNA methylation and histone modification patterns are imprinted during embryonic development and must be maintained in adult cells for appropriate gene transcription and phenotypic stability. A compelling question then is how these epigenetic mechanisms play a role in kidney development. In this review, we describe the major genes and pathways that have been linked to epigenetic mechanisms in kidney development. We also discuss recent applications of single-cell RNA sequencing (scRNA-seq) techniques in the study of kidney development. Additionally, we summarize the techniques of single-cell epigenomics, which can potentially be used to characterize epigenomes at single-cell resolution in embryonic and adult kidneys. The combination of scRNA-seq and single-cell epigenomics will help facilitate the further understanding of early cell lineage specification at the level of epigenetic modifications in embryonic and adult kidney development, which may also be used to investigate epigenetic mechanisms in kidney diseases.
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Affiliation(s)
- Katrina Chan
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA;
| | - Xiaogang Li
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA;
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
- Correspondence: ; Tel.: +1-507-266-0110
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10
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Johnson JL, Georgakilas G, Petrovic J, Kurachi M, Cai S, Harly C, Pear WS, Bhandoola A, Wherry EJ, Vahedi G. Lineage-Determining Transcription Factor TCF-1 Initiates the Epigenetic Identity of T Cells. Immunity 2018; 48:243-257.e10. [PMID: 29466756 DOI: 10.1016/j.immuni.2018.01.012] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 12/05/2017] [Accepted: 01/26/2018] [Indexed: 11/17/2022]
Abstract
T cell development is orchestrated by transcription factors that regulate the expression of genes initially buried within inaccessible chromatin, but the transcription factors that establish the regulatory landscape of the T cell lineage remain unknown. Profiling chromatin accessibility at eight stages of T cell development revealed the selective enrichment of TCF-1 at genomic regions that became accessible at the earliest stages of development. TCF-1 was further required for the accessibility of these regulatory elements and at the single-cell level, it dictated a coordinate opening of chromatin in T cells. TCF-1 expression in fibroblasts generated de novo chromatin accessibility even at chromatin regions with repressive marks, inducing the expression of T cell-restricted genes. These results indicate that a mechanism by which TCF-1 controls T cell fate is through its widespread ability to target silent chromatin and establish the epigenetic identity of T cells.
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Affiliation(s)
- John L Johnson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Georgios Georgakilas
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jelena Petrovic
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Makoto Kurachi
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Stanley Cai
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christelle Harly
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20184, USA
| | - Warren S Pear
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Avinash Bhandoola
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20184, USA
| | - E John Wherry
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Golnaz Vahedi
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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11
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Abstract
Single-cell techniques are advancing rapidly and are yielding unprecedented insight into cellular heterogeneity. Mapping the gene regulatory networks (GRNs) underlying cell states provides attractive opportunities to mechanistically understand this heterogeneity. In this review, we discuss recently emerging methods to map GRNs from single-cell transcriptomics data, tackling the challenge of increased noise levels and data sparsity compared with bulk data, alongside increasing data volumes. Next, we discuss how new techniques for single-cell epigenomics, such as single-cell ATAC-seq and single-cell DNA methylation profiling, can be used to decipher gene regulatory programmes. We finally look forward to the application of single-cell multi-omics and perturbation techniques that will likely play important roles for GRN inference in the future.
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Affiliation(s)
- Mark W E J Fiers
- VIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium
| | - Liesbeth Minnoye
- VIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium
- KU Leuven, Department of Human Genetics, Leuven, Belgium
| | - Sara Aibar
- VIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium
- KU Leuven, Department of Human Genetics, Leuven, Belgium
| | - Carmen Bravo González-Blas
- VIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium
- KU Leuven, Department of Human Genetics, Leuven, Belgium
| | - Zeynep Kalender Atak
- VIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium
- KU Leuven, Department of Human Genetics, Leuven, Belgium
| | - Stein Aerts
- VIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium
- KU Leuven, Department of Human Genetics, Leuven, Belgium
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Ecker JR, Geschwind DH, Kriegstein AR, Ngai J, Osten P, Polioudakis D, Regev A, Sestan N, Wickersham IR, Zeng H. The BRAIN Initiative Cell Census Consortium: Lessons Learned toward Generating a Comprehensive Brain Cell Atlas. Neuron 2017; 96:542-557. [PMID: 29096072 DOI: 10.1016/j.neuron.2017.10.007] [Citation(s) in RCA: 163] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 10/01/2017] [Accepted: 10/03/2017] [Indexed: 10/25/2022]
Abstract
A comprehensive characterization of neuronal cell types, their distributions, and patterns of connectivity is critical for understanding the properties of neural circuits and how they generate behaviors. Here we review the experiences of the BRAIN Initiative Cell Census Consortium, ten pilot projects funded by the U.S. BRAIN Initiative, in developing, validating, and scaling up emerging genomic and anatomical mapping technologies for creating a complete inventory of neuronal cell types and their connections in multiple species and during development. These projects lay the foundation for a larger and longer-term effort to generate whole-brain cell atlases in species including mice and humans.
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Affiliation(s)
- Joseph R Ecker
- Genomic Analysis Laboratory and Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Daniel H Geschwind
- Program in Neurogenetics, Departments of Neurology and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Arnold R Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Department of Neurology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - John Ngai
- Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, QB3 Functional Genomics Laboratory, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Pavel Osten
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Damon Polioudakis
- Program in Neurogenetics, Departments of Neurology and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Department of Biology, Koch Institute of Integrative Cancer Research, and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Nenad Sestan
- Departments of Neuroscience, Genetics, Psychiatry and Comparative Medicine, Program in Cellular Neuroscience, Neurodegeneration and Repair, Yale Child Study Center, Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Ian R Wickersham
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
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