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Noël ES. Cardiac construction-Recent advances in morphological and transcriptional modeling of early heart development. Curr Top Dev Biol 2024; 156:121-156. [PMID: 38556421 DOI: 10.1016/bs.ctdb.2024.02.005] [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] [Indexed: 04/02/2024]
Abstract
During human embryonic development the early establishment of a functional heart is vital to support the growing fetus. However, forming the embryonic heart is an extremely complex process, requiring spatiotemporally controlled cell specification and differentiation, tissue organization, and coordination of cardiac function. These complexities, in concert with the early and rapid development of the embryonic heart, mean that understanding the intricate interplay between these processes that help shape the early heart remains highly challenging. In this review I focus on recent insights from animal models that have shed new light on the earliest stages of heart development. This includes specification and organization of cardiac progenitors, cell and tissue movements that make and shape the early heart tube, and the initiation of the first beat in the developing heart. In addition I highlight relevant in vitro models that could support translation of findings from animal models to human heart development. Finally I discuss challenges that are being addressed in the field, along with future considerations that together may help move us towards a deeper understanding of how our hearts are made.
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Affiliation(s)
- Emily S Noël
- School of Biosciences and Bateson Centre, University of Sheffield, Sheffield, United Kingdom.
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2
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Long X, Wei J, Fang Q, Yuan X, Du J. Single-cell RNA sequencing reveals the transcriptional heterogeneity of Tbx18-positive cardiac cells during heart development. Funct Integr Genomics 2024; 24:18. [PMID: 38265516 DOI: 10.1007/s10142-024-01290-6] [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: 10/17/2023] [Revised: 12/29/2023] [Accepted: 01/02/2024] [Indexed: 01/25/2024]
Abstract
The T-box family transcription factor 18 (Tbx18) has been found to play a critical role in regulating the development of the mammalian heart during the primary stages of embryonic development while the cellular heterogeneity and landscape of Tbx18-positive (Tbx18+) cardiac cells remain incompletely characterized. Here, we analyzed prior published single-cell RNA sequencing (scRNA-seq) mouse heart data to explore the heterogeneity of Tbx18+ cardiac cell subpopulations and provide a comprehensive transcriptional landscape of Tbx18+ cardiac cells during their development. Bioinformatic analysis methods were utilized to identify the heterogeneity between cell groups. Based on the gene expression characteristics, Tbx18+ cardiac cells can be classified into a minimum of two distinct cell populations, namely fibroblast-like cells and cardiomyocytes. In terms of temporal heterogeneity, these cells exhibit three developmental stages, namely the MEM stage, ML_P0 stage, and P stage Tbx18+ cardiac cells. Furthermore, Tbx18+ cardiac cells encompass several cell types, including cardiac progenitor-like cells, cardiomyocytes, and epicardial/stromal cells, as determined by specific transcriptional regulatory networks. The scRNA-seq results revealed the involvement of extracellular matrix (ECM) signals and epicardial epithelial-to-mesenchymal transition (EMT) in the development of Tbx18+ cardiac cells. The utilization of a lineage-tracing model served to validate the crucial function of Tbx18 in the differentiation of cardiac cells. Consequently, these findings offer a comprehensive depiction of the cellular heterogeneity within Tbx18+ cardiac cells.
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Affiliation(s)
- Xianglin Long
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Jiangjun Wei
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Qinghua Fang
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Xin Yuan
- Department of Nephrology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
| | - Jianlin Du
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
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3
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Wei N, Lee C, Duan L, Galdos FX, Samad T, Raissadati A, Goodyer WR, Wu SM. Cardiac Development at a Single-Cell Resolution. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1441:253-268. [PMID: 38884716 DOI: 10.1007/978-3-031-44087-8_14] [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: 06/18/2024]
Abstract
Mammalian cardiac development is a complex, multistage process. Though traditional lineage tracing studies have characterized the broad trajectories of cardiac progenitors, the advent and rapid optimization of single-cell RNA sequencing methods have yielded an ever-expanding toolkit for characterizing heterogeneous cell populations in the developing heart. Importantly, they have allowed for a robust profiling of the spatiotemporal transcriptomic landscape of the human and mouse heart, revealing the diversity of cardiac cells-myocyte and non-myocyte-over the course of development. These studies have yielded insights into novel cardiac progenitor populations, chamber-specific developmental signatures, the gene regulatory networks governing cardiac development, and, thus, the etiologies of congenital heart diseases. Furthermore, single-cell RNA sequencing has allowed for the exquisite characterization of distinct cardiac populations such as the hard-to-capture cardiac conduction system and the intracardiac immune population. Therefore, single-cell profiling has also resulted in new insights into the regulation of cardiac regeneration and injury repair. Single-cell multiomics approaches combining transcriptomics, genomics, and epigenomics may uncover an even more comprehensive atlas of human cardiac biology. Single-cell analyses of the developing and adult mammalian heart offer an unprecedented look into the fundamental mechanisms of cardiac development and the complex diseases that may arise from it.
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Affiliation(s)
- Nicholas Wei
- Stanford University, Cardiovascular Institute, Stanford, CA, USA
| | - Carissa Lee
- Stanford University, Cardiovascular Institute, Stanford, CA, USA
| | - Lauren Duan
- Stanford University, Cardiovascular Institute, Stanford, CA, USA
| | | | - Tahmina Samad
- Stanford University, Cardiovascular Institute, Stanford, CA, USA
| | | | | | - Sean M Wu
- Stanford University, Cardiovascular Institute, Stanford, CA, USA.
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4
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Buckingham M, Kelly RG. Cardiac Progenitor Cells of the First and Second Heart Fields. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1441:103-124. [PMID: 38884707 DOI: 10.1007/978-3-031-44087-8_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
The heart forms from the first and second heart fields, which contribute to distinct regions of the myocardium. This is supported by clonal analyses, which identify corresponding first and second cardiac cell lineages in the heart. Progenitor cells of the second heart field and its sub-domains are controlled by a gene regulatory network and signaling pathways, which determine their behavior. Multipotent cells in this field can also contribute cardiac endothelial and smooth muscle cells. Furthermore, the skeletal muscles of the head and neck are clonally related to myocardial cells that form the arterial and venous poles of the heart. These lineage relationships, together with the genes that regulate the heart fields, have major implications for congenital heart disease.
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Affiliation(s)
- Margaret Buckingham
- Department of Developmental and Stem Cell Biology, CNRS UMR 3738, Institut Pasteur, Paris, France.
| | - Robert G Kelly
- Aix Marseille Université, Institut de Biologie du Dévelopment de Marseille, Marseille, France.
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5
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Bileckyj C, Blotz B, Cripps RM. Drosophila as a Model to Understand Second Heart Field Development. J Cardiovasc Dev Dis 2023; 10:494. [PMID: 38132661 PMCID: PMC10744189 DOI: 10.3390/jcdd10120494] [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: 11/01/2023] [Revised: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 12/23/2023] Open
Abstract
The genetic model system Drosophila has contributed fundamentally to our understanding of mammalian heart specification, development, and congenital heart disease. The relatively simple Drosophila heart is a linear muscular tube that is specified and develops in the embryo and persists throughout the life of the animal. It functions at all stages to circulate hemolymph within the open circulatory system of the body. During Drosophila metamorphosis, the cardiac tube is remodeled, and a new layer of muscle fibers spreads over the ventral surface of the heart to form the ventral longitudinal muscles. The formation of these fibers depends critically upon genes known to be necessary for mammalian second heart field (SHF) formation. Here, we review the prior contributions of the Drosophila system to the understanding of heart development and disease, discuss the importance of the SHF to mammalian heart development and disease, and then discuss how the ventral longitudinal adult cardiac muscles can serve as a novel model for understanding SHF development and disease.
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Affiliation(s)
| | | | - Richard M. Cripps
- Department of Biology, San Diego State University, San Diego, CA 92182, USA
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6
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Sun T, Grassam-Rowe A, Pu Z, Li Y, Ren H, An Y, Guo X, Hu W, Liu Y, Zheng Y, Liu Z, Kou K, Ou X, Chen T, Fan X, Liu Y, Tu S, He Y, Ren Y, Chen A, Shang Z, Xia Z, Miquerol L, Smart N, Zhang H, Tan X, Shou W, Lei M. Dbh + catecholaminergic cardiomyocytes contribute to the structure and function of the cardiac conduction system in murine heart. Nat Commun 2023; 14:7801. [PMID: 38016975 PMCID: PMC10684617 DOI: 10.1038/s41467-023-42658-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 10/18/2023] [Indexed: 11/30/2023] Open
Abstract
The heterogeneity of functional cardiomyocytes arises during heart development, which is essential to the complex and highly coordinated cardiac physiological function. Yet the biological and physiological identities and the origin of the specialized cardiomyocyte populations have not been fully comprehended. Here we report a previously unrecognised population of cardiomyocytes expressing Dbhgene encoding dopamine beta-hydroxylase in murine heart. We determined how these myocytes are distributed across the heart by utilising advanced single-cell and spatial transcriptomic analyses, genetic fate mapping and molecular imaging with computational reconstruction. We demonstrated that they form the key functional components of the cardiac conduction system by using optogenetic electrophysiology and conditional cardiomyocyte Dbh gene deletion models. We revealed their close relationship with sympathetic innervation during cardiac conduction system formation. Our study thus provides new insights into the development and heterogeneity of the mammalian cardiac conduction system by revealing a new cardiomyocyte population with potential catecholaminergic endocrine function.
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Affiliation(s)
- Tianyi Sun
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK
| | | | - Zhaoli Pu
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
- Department of Cardiology, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Yangpeng Li
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
- Department of Cardiology, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Huiying Ren
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
- Department of Physiology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Yanru An
- BGI Research, Shenzhen, 518103, China
| | - Xinyu Guo
- BGI Research, Qingdao, 266555, China
| | - Wei Hu
- Department of Physics & Astronomy, The University of Manchester, Brunswick Street, Manchester, M13 9PL, UK
| | - Ying Liu
- Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, USA
| | - Yuqing Zheng
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
- Department of Cardiology, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Zhu Liu
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
- Department of Cardiology, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Kun Kou
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
- Department of Cardiology, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Xianhong Ou
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Tangting Chen
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Xuehui Fan
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Yangyang Liu
- Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, USA
| | - Shu Tu
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK
| | - Yu He
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK
| | - Yue Ren
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK
| | - Ao Chen
- BGI Research, Shenzhen, 518103, China
| | | | - Zhidao Xia
- Centre for Nanohealth, Swansea University Medical School, Swansea University, Singleton Park, Swansea, SA2 8PP, UK
| | - Lucile Miquerol
- Aix Marseille University, CNRS Institut de Biologie du Développement de Marseille UMR 7288, 13288, Marseille, France
| | - Nicola Smart
- Department of Physiology, Anatomy & Genetics, Sherrington Building, Oxford, University of, Oxford, OX1 3PT, UK
| | - Henggui Zhang
- Department of Physics & Astronomy, The University of Manchester, Brunswick Street, Manchester, M13 9PL, UK
- Beijing Academy of Artificial Intelligence, 100084, Beijing, China
| | - Xiaoqiu Tan
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China.
- Department of Cardiology, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
- Department of Physiology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, 646000, China.
| | - Weinian Shou
- Herman B Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, USA.
| | - Ming Lei
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK.
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China.
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7
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Ren H, Zhou X, Yang J, Kou K, Chen T, Pu Z, Ye K, Fan X, Zhang D, Kang X, Fan Z, Lei M, Sun T, Tan X, Ou X. Single-cell RNA sequencing of murine hearts for studying the development of the cardiac conduction system. Sci Data 2023; 10:577. [PMID: 37666871 PMCID: PMC10477280 DOI: 10.1038/s41597-023-02333-6] [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: 11/21/2022] [Accepted: 06/26/2023] [Indexed: 09/06/2023] Open
Abstract
The development of the cardiac conduction system (CCS) is essential for correct heart function. However, critical details on the cell types populating the CCS in the mammalian heart during the development remain to be resolved. Using single-cell RNA sequencing, we generated a large dataset of transcriptomes of ~0.5 million individual cells isolated from murine hearts at six successive developmental corresponding to the early, middle and late stages of heart development. The dataset provides a powerful library for studying the development of the heart's CCS and other cardiac components. Our initial analysis identified distinct cell types between 20 to 26 cell types across different stages, of which ten are involved in forming the CCS. Our dataset allows researchers to reuse the datasets for data mining and a wide range of analyses. Collectively, our data add valuable transcriptomic resources for further study of cardiac development, such as gene expression, transcriptional regulation and functional gene activity in developing hearts, particularly the CCS.
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Affiliation(s)
- Huiying Ren
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
- Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Xiaolin Zhou
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
| | - Jun Yang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
| | - Kun Kou
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
- Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Tangting Chen
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
| | - Zhaoli Pu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
| | - Kejun Ye
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
| | - Xuehui Fan
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
| | - Dan Zhang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
| | - Xinjiang Kang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China
| | - Zhongcai Fan
- Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Ming Lei
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China.
- Department of Pharmacology, University of Oxford, Oxford, OX1 3QT, United Kingdom.
| | - Tianyi Sun
- Department of Pharmacology, University of Oxford, Oxford, OX1 3QT, United Kingdom.
| | - Xiaoqiu Tan
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China.
- Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
- Department of Physiology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China.
| | - Xianhong Ou
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, China.
- Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
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8
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Moazzen H, Bolaji MD, Leube RE. Desmosomes in Cell Fate Determination: From Cardiogenesis to Cardiomyopathy. Cells 2023; 12:2122. [PMID: 37681854 PMCID: PMC10487268 DOI: 10.3390/cells12172122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 09/09/2023] Open
Abstract
Desmosomes play a vital role in providing structural integrity to tissues that experience significant mechanical tension, including the heart. Deficiencies in desmosomal proteins lead to the development of arrhythmogenic cardiomyopathy (AC). The limited availability of preventative measures in clinical settings underscores the pressing need to gain a comprehensive understanding of desmosomal proteins not only in cardiomyocytes but also in non-myocyte residents of the heart, as they actively contribute to the progression of cardiomyopathy. This review focuses specifically on the impact of desmosome deficiency on epi- and endocardial cells. We highlight the intricate cross-talk between desmosomal proteins mutations and signaling pathways involved in the regulation of epicardial cell fate transition. We further emphasize that the consequences of desmosome deficiency differ between the embryonic and adult heart leading to enhanced erythropoiesis during heart development and enhanced fibrogenesis in the mature heart. We suggest that triggering epi-/endocardial cells and fibroblasts that are in different "states" involve the same pathways but lead to different pathological outcomes. Understanding the details of the different responses must be considered when developing interventions and therapeutic strategies.
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Affiliation(s)
- Hoda Moazzen
- Institute of Molecular and Cellular Anatomy, RWTH Aachen University, Wendlingweg 2, 52074 Aachen, Germany; (M.D.B.); (R.E.L.)
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9
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Huang X, Fu Y, Lee H, Zhao Y, Yang W, van de Leemput J, Han Z. Single-cell profiling of the developing embryonic heart in Drosophila. Development 2023; 150:dev201936. [PMID: 37526610 PMCID: PMC10482008 DOI: 10.1242/dev.201936] [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: 05/01/2023] [Accepted: 07/20/2023] [Indexed: 08/02/2023]
Abstract
Drosophila is an important model for studying heart development and disease. Yet, single-cell transcriptomic data of its developing heart have not been performed. Here, we report single-cell profiling of the entire fly heart using ∼3000 Hand-GFP embryos collected at five consecutive developmental stages, ranging from bilateral migrating rows of cardiac progenitors to a fused heart tube. The data revealed six distinct cardiac cell types in the embryonic fly heart: cardioblasts, both Svp+ and Tin+ subtypes; and five types of pericardial cell (PC) that can be distinguished by four key transcription factors (Eve, Odd, Ct and Tin) and include the newly described end of the line PC. Notably, the embryonic fly heart combines transcriptional signatures of the mammalian first and second heart fields. Using unique markers for each heart cell type, we defined their number and location during heart development to build a comprehensive 3D cell map. These data provide a resource to track the expression of any gene in the developing fly heart, which can serve as a reference to study genetic perturbations and cardiac diseases.
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Affiliation(s)
- Xiaohu Huang
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Yulong Fu
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Hangnoh Lee
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Yunpo Zhao
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Wendy Yang
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Joyce van de Leemput
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Zhe Han
- Center for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
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10
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Zhang Y, Li X, Gao S, Liao Y, Luo Y, Liu M, Bian Y, Xiong H, Yue Y, He A. Genetic reporter for live tracing fluid flow forces during cell fate segregation in mouse blastocyst development. Cell Stem Cell 2023; 30:1110-1123.e9. [PMID: 37541214 DOI: 10.1016/j.stem.2023.07.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 06/02/2023] [Accepted: 07/10/2023] [Indexed: 08/06/2023]
Abstract
Mechanical forces are known to be important in mammalian blastocyst formation; however, due to limited tools, specific force inputs and how they relay to first cell fate control of inner cell mass (ICM) and/or trophectoderm (TE) remain elusive. Combining in toto live imaging and various perturbation experiments, we demonstrate and measure fluid flow forces existing in the mouse blastocyst cavity and identify Klf2(Krüppel-like factor 2) as a fluid force reporter with force-responsive enhancers. Long-term live imaging and lineage reconstructions reveal that blastomeres subject to higher fluid flow forces adopt ICM cell fates. These are reinforced by internal ferrofluid-induced flow force assays. We also utilize ex vivo fluid flow force mimicking and pharmacological perturbations to confirm mechanosensing specificity. Together, we report a genetically encoded reporter for continuously monitoring fluid flow forces and cell fate decisions and provide a live imaging framework to infer force information enriched lineage landscape during development. VIDEO ABSTRACT.
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Affiliation(s)
- Youdong Zhang
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Xin Li
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Shu Gao
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Yuanhui Liao
- School of Software and Microelectronics, Peking University, Beijing 100871, China
| | - Yingjie Luo
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Min Liu
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Yunkun Bian
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Haiqing Xiong
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Yanzhu Yue
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China; Department of Cell Fate and Diseases, Jilin Provincial Key Laboratory of Women's Reproductive Health, the First Hospital of Jilin University, Changchun, Jilin 130061, China.
| | - Aibin He
- Institute of Molecular Medicine, National Biomedical Imaging Center, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.
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11
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Yang X, Chen D, Sun Q, Wang Y, Xia Y, Yang J, Lin C, Dang X, Cen Z, Liang D, Wei R, Xu Z, Xi G, Xue G, Ye C, Wang LP, Zou P, Wang SQ, Rivera-Fuentes P, Püntener S, Chen Z, Liu Y, Zhang J, Zhao Y. A live-cell image-based machine learning strategy for reducing variability in PSC differentiation systems. Cell Discov 2023; 9:53. [PMID: 37280224 DOI: 10.1038/s41421-023-00543-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 03/13/2023] [Indexed: 06/08/2023] Open
Abstract
The differentiation of pluripotent stem cells (PSCs) into diverse functional cell types provides a promising solution to support drug discovery, disease modeling, and regenerative medicine. However, functional cell differentiation is currently limited by the substantial line-to-line and batch-to-batch variabilities, which severely impede the progress of scientific research and the manufacturing of cell products. For instance, PSC-to-cardiomyocyte (CM) differentiation is vulnerable to inappropriate doses of CHIR99021 (CHIR) that are applied in the initial stage of mesoderm differentiation. Here, by harnessing live-cell bright-field imaging and machine learning (ML), we realize real-time cell recognition in the entire differentiation process, e.g., CMs, cardiac progenitor cells (CPCs), PSC clones, and even misdifferentiated cells. This enables non-invasive prediction of differentiation efficiency, purification of ML-recognized CMs and CPCs for reducing cell contamination, early assessment of the CHIR dose for correcting the misdifferentiation trajectory, and evaluation of initial PSC colonies for controlling the start point of differentiation, all of which provide a more invulnerable differentiation method with resistance to variability. Moreover, with the established ML models as a readout for the chemical screen, we identify a CDK8 inhibitor that can further improve the cell resistance to the overdose of CHIR. Together, this study indicates that artificial intelligence is able to guide and iteratively optimize PSC differentiation to achieve consistently high efficiency across cell lines and batches, providing a better understanding and rational modulation of the differentiation process for functional cell manufacturing in biomedical applications.
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Affiliation(s)
- Xiaochun Yang
- State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Daichao Chen
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Qiushi Sun
- Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
| | - Yao Wang
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yu Xia
- College of Engineering, Peking University, Beijing, China
| | - Jinyu Yang
- College of Engineering, Peking University, Beijing, China
| | - Chang Lin
- College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing, China
| | - Xin Dang
- State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Zimu Cen
- State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Dongdong Liang
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Rong Wei
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Ze Xu
- State Key Laboratory of Membrane Biology, College of Life Sciences, Peking University, Beijing, China
| | - Guangyin Xi
- State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Gang Xue
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Can Ye
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Li-Peng Wang
- State Key Laboratory of Membrane Biology, College of Life Sciences, Peking University, Beijing, China
| | - Peng Zou
- College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Shi-Qiang Wang
- State Key Laboratory of Membrane Biology, College of Life Sciences, Peking University, Beijing, China
| | | | - Salome Püntener
- Department of Chemistry, University of Zurich, Zurich, Switzerland
- Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédéral de Lausanne, Lausanne, Switzerland
| | - Zhixing Chen
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
- Institute of Molecular Medicine, National Biomedical Imaging Center, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Yi Liu
- Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.
| | - Jue Zhang
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
- College of Engineering, Peking University, Beijing, China.
| | - Yang Zhao
- State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
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12
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Tyser RCV. Formation of the Heart: Defining Cardiomyocyte Progenitors at Single-Cell Resolution. Curr Cardiol Rep 2023; 25:495-503. [PMID: 37119451 PMCID: PMC10188409 DOI: 10.1007/s11886-023-01880-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/04/2023] [Indexed: 05/01/2023]
Abstract
PURPOSE OF REVIEW Formation of the heart requires the coordinated addition of multiple progenitor sources which have undergone different pathways of specification and differentiation. In this review, I aim to put into context how recent studies defining cardiac progenitor heterogeneity build on our understanding of early heart development and also discuss the questions raised by this new insight. RECENT FINDINGS With the development of sequencing technologies and imaging approaches, it has been possible to define, at high temporal resolution, the molecular profile and anatomical location of cardiac progenitors at the single-cell level, during the formation of the mammalian heart. Given the recent progress in our understanding of early heart development and technical advances in high-resolution time-lapse imaging and lineage analysis, we are now in a position of great potential, allowing us to resolve heart formation at previously impossible levels of detail. Understanding how this essential organ forms not only addresses questions of fundamental biological significance but also provides a blueprint for strategies to both treat and model heart disease.
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Affiliation(s)
- Richard C V Tyser
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Jeffrey Cheah Biomedical Centre, Cambridge, CB2 0AW, UK.
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13
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Miranda AMA, Janbandhu V, Maatz H, Kanemaru K, Cranley J, Teichmann SA, Hübner N, Schneider MD, Harvey RP, Noseda M. Single-cell transcriptomics for the assessment of cardiac disease. Nat Rev Cardiol 2023; 20:289-308. [PMID: 36539452 DOI: 10.1038/s41569-022-00805-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/03/2022] [Indexed: 12/24/2022]
Abstract
Cardiovascular disease is the leading cause of death globally. An advanced understanding of cardiovascular disease mechanisms is required to improve therapeutic strategies and patient risk stratification. State-of-the-art, large-scale, single-cell and single-nucleus transcriptomics facilitate the exploration of the cardiac cellular landscape at an unprecedented level, beyond its descriptive features, and can further our understanding of the mechanisms of disease and guide functional studies. In this Review, we provide an overview of the technical challenges in the experimental design of single-cell and single-nucleus transcriptomics studies, as well as a discussion of the type of inferences that can be made from the data derived from these studies. Furthermore, we describe novel findings derived from transcriptomics studies for each major cardiac cell type in both health and disease, and from development to adulthood. This Review also provides a guide to interpreting the exhaustive list of newly identified cardiac cell types and states, and highlights the consensus and discordances in annotation, indicating an urgent need for standardization. We describe advanced applications such as integration of single-cell data with spatial transcriptomics to map genes and cells on tissue and define cellular microenvironments that regulate homeostasis and disease progression. Finally, we discuss current and future translational and clinical implications of novel transcriptomics approaches, and provide an outlook of how these technologies will change the way we diagnose and treat heart disease.
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Affiliation(s)
| | - Vaibhao Janbandhu
- Victor Chang Cardiac Research Institute, Sydney, NSW, Australia
- School of Clinical Medicine, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Henrike Maatz
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Kazumasa Kanemaru
- Cellular Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - James Cranley
- Cellular Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Sarah A Teichmann
- Cellular Genetics Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Deptartment of Physics, Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Norbert Hübner
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Charite-Universitätsmedizin Berlin, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| | | | - Richard P Harvey
- Victor Chang Cardiac Research Institute, Sydney, NSW, Australia
- School of Clinical Medicine, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Michela Noseda
- National Heart and Lung Institute, Imperial College London, London, UK.
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14
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Liu S, Lan XB, Tian MM, Zhu CH, Ma L, Yang JM, Du J, Zheng P, Yu JQ, Liu N. Targeting the chemokine ligand 2-chemokine receptor 2 axis provides the possibility of immunotherapy in chronic pain. Eur J Pharmacol 2023; 947:175646. [PMID: 36907261 DOI: 10.1016/j.ejphar.2023.175646] [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: 08/29/2022] [Revised: 02/26/2023] [Accepted: 03/06/2023] [Indexed: 03/13/2023]
Abstract
Chronic pain affects patients' physical and psychological health and quality of life, entailing a tremendous public health challenge. Currently, drugs for chronic pain are usually associated with a large number of side effects and poor efficacy. Chemokines in the neuroimmune interface combine with their receptors to regulate inflammation or mediate neuroinflammation in the peripheral and central nervous system. Targeting chemokines and their receptor-mediated neuroinflammation is an effective means to treat chronic pain. In recent years, growing evidence has shown that the expression of chemokine ligand 2 (CCL2) and its main chemokine receptor 2 (CCR2) is involved in its occurrence, development and maintenance of chronic pain. This paper summarises the relationship between the chemokine system, CCL2/CCR2 axis, and chronic pain, and the CCL2/CCR2 axis changes under different chronic pain conditions. Targeting chemokine CCL2 and its chemokine receptor CCR2 through siRNA, blocking antibodies, or small molecule antagonists may provide new therapeutic possibilities for managing chronic pain.
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Affiliation(s)
- Shan Liu
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Xiao-Bing Lan
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Miao-Miao Tian
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Chun-Hao Zhu
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Lin Ma
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Jia-Mei Yang
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Juan Du
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Ping Zheng
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Jian-Qiang Yu
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China; Ningxia Special Traditional Medicine Modern Engineering Research Center and Collaborative Innovation Center, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
| | - Ning Liu
- Department of Pharmacology, School of Pharmacy, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China; Ningxia Special Traditional Medicine Modern Engineering Research Center and Collaborative Innovation Center, Ningxia Medical University, 1160 Shengli Street, Yinchuan, 750004, China.
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15
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Yahya I, Brand-Saberi B, Morosan-Puopolo G. Chicken embryo as a model in second heart field development. Heliyon 2023; 9:e14230. [PMID: 36923876 PMCID: PMC10009738 DOI: 10.1016/j.heliyon.2023.e14230] [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: 10/12/2022] [Revised: 01/30/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Previously, a single source of progenitor cells was thought to be responsible for the formation of the cardiac muscle. However, the second heart field has recently been identified as an additional source of myocardial progenitor cells. The chicken embryo, which develops in the egg, outside the mother can easily be manipulated in vivo and in vitro. Hence, it was an excellent model for establishing the concept of the second heart field. Here, our review will focus on the chicken model, specifically its role in understanding the second heart field. In addition to discussing historical aspects, we provide an overview of recent findings that have helped to define the chicken second heart field progenitor cells. A better understanding of the second heart field development will provide important insights into the congenital malformations affecting cardiac muscle formation and function.
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Affiliation(s)
- Imadeldin Yahya
- Department of Anatomy and Molecular Embryology, Ruhr University Bochum, 44801, Bochum, Germany
- Department of Anatomy, Faculty of Veterinary Medicine, University of Khartoum, Khartoum, 11115, Sudan
- Corresponding author. Department of Anatomy and Molecular Embryology, Ruhr University Bochum, 44801 Bochum, Germany.
| | - Beate Brand-Saberi
- Department of Anatomy and Molecular Embryology, Ruhr University Bochum, 44801, Bochum, Germany
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16
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Kelly RG. The heart field transcriptional landscape at single-cell resolution. Dev Cell 2023; 58:257-266. [PMID: 36809764 DOI: 10.1016/j.devcel.2023.01.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/06/2022] [Accepted: 01/27/2023] [Indexed: 02/22/2023]
Abstract
Organogenesis requires the orchestrated development of multiple cell lineages that converge, interact, and specialize to generate coherent functional structures, exemplified by transformation of the cardiac crescent into a four-chambered heart. Cardiomyocytes originate from the first and second heart fields, which make different regional contributions to the definitive heart. In this review, a series of recent single-cell transcriptomic analyses, together with genetic tracing experiments, are discussed, providing a detailed panorama of the cardiac progenitor cell landscape. These studies reveal that first heart field cells originate in a juxtacardiac field adjacent to extraembryonic mesoderm and contribute to the ventrolateral side of the cardiac primordium. In contrast, second heart field cells are deployed dorsomedially from a multilineage-primed progenitor population via arterial and venous pole pathways. Refining our knowledge of the origin and developmental trajectories of cells that build the heart is essential to address outstanding challenges in cardiac biology and disease.
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Affiliation(s)
- Robert G Kelly
- Aix-Marseille Université, CNRS UMR 7288, IBDM, Marseille, France.
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17
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Long X, Yuan X, Du J. Single-cell and spatial transcriptomics: Advances in heart development and disease applications. Comput Struct Biotechnol J 2023; 21:2717-2731. [PMID: 37181659 PMCID: PMC10173363 DOI: 10.1016/j.csbj.2023.04.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 04/11/2023] [Accepted: 04/11/2023] [Indexed: 05/16/2023] Open
Abstract
Current transcriptomics technologies, including bulk RNA-seq, single-cell RNA sequencing (scRNA-seq), single-nucleus RNA-sequencing (snRNA-seq), and spatial transcriptomics (ST), provide novel insights into the spatial and temporal dynamics of gene expression during cardiac development and disease processes. Cardiac development is a highly sophisticated process involving the regulation of numerous key genes and signaling pathways at specific anatomical sites and developmental stages. Exploring the cell biological mechanisms involved in cardiogenesis also contributes to congenital heart disease research. Meanwhile, the severity of distinct heart diseases, such as coronary heart disease, valvular disease, cardiomyopathy, and heart failure, is associated with cellular transcriptional heterogeneity and phenotypic alteration. Integrating transcriptomic technologies in the clinical diagnosis and treatment of heart diseases will aid in advancing precision medicine. In this review, we summarize applications of scRNA-seq and ST in the cardiac field, including organogenesis and clinical diseases, and provide insights into the promise of single-cell and spatial transcriptomics in translational research and precision medicine.
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Affiliation(s)
- Xianglin Long
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - Xin Yuan
- Department of Nephrology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
- Correspondence to: Department of Nephrology, The Second Affiliated Hospital of Chongqing Medical University, 74 Lin Jiang Road Chongqing 4000l0, China.
| | - Jianlin Du
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
- Correspondence to: Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, 74 Lin Jiang Road Chongqing 400010, China.
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18
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Cheng M, Chen C, Yu K, Lv X, Zeng Q, Dong N, Zhu F. Ablation of CXCR4 expression in cardiomyocytes exacerbates isoproterenol‑induced cell death and heart failure. Int J Mol Med 2022; 51:13. [PMID: 36579657 PMCID: PMC9869727 DOI: 10.3892/ijmm.2022.5216] [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: 07/11/2022] [Accepted: 11/21/2022] [Indexed: 12/30/2022] Open
Abstract
CXCR4 is a seven‑transmembrane‑spanning Gi‑coupled receptor for the SDF‑1 chemokine and plays a critical role in cardiovascular development and post‑injury repair. However, the specific role of CXCR4 in cardiomyocytes is incompletely understood. It was hypothesized that CXCR4 activation in cardiomyocytes antagonizes β‑adrenoceptor/Gs signaling‑induced cardiac dysfunction. Cardiomyocyte‑specific CXCR4 knockout (CXCR4‑CMKO) mice were generated by crossing CXCR4fl/fl and MHC‑Cre+/‑ mice. Their cardiac structure and function in the basal state are equivalent to that of the control MHC‑Cre+/‑ littermates until at least 4 months old. However, following continuous subcutaneous administration of isoproterenol (Iso) via an osmotic mini‑pump, the ventricular myocardial contractility, dilation, cardiomyocyte apoptosis, and interstitial fibrosis are worse in CXCR4‑CMKO mice than in MHC‑Cre+/‑ littermates. In the cultured H9C2 cardiomyocytes, SDF‑1 treatment markedly attenuated Iso‑induced apoptosis and reduction in phospho‑Akt, and this protective effect was lost by knockdown of CXCR4 or by co‑treatment with Gi inhibitors. In conclusion, CXCR4 promotes cardiomyocyte survival and heart function during β‑adrenergic stress.
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Affiliation(s)
- Min Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China,Correspondence to: Dr Min Cheng or Dr Feng Zhu, Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1377 Jiefang Avenue, Wuhan, Hubei 430022, P.R. China, E-mail: , E-mail:
| | - Can Chen
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Kunwu Yu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Xiao Lv
- Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Qiutang Zeng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Nianguo Dong
- Department of Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Feng Zhu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China,Correspondence to: Dr Min Cheng or Dr Feng Zhu, Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1377 Jiefang Avenue, Wuhan, Hubei 430022, P.R. China, E-mail: , E-mail:
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19
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Gu Y, Zhou Y, Ju S, Liu X, Zhang Z, Guo J, Gao J, Zang J, Sun H, Chen Q, Wang J, Xu J, Xu Y, Chen Y, Guo Y, Dai J, Ma H, Wang C, Jin G, Li C, Xia Y, Shen H, Yang Y, Guo X, Hu Z. Multi-omics profiling visualizes dynamics of cardiac development and functions. Cell Rep 2022; 41:111891. [PMID: 36577384 DOI: 10.1016/j.celrep.2022.111891] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 09/14/2022] [Accepted: 12/05/2022] [Indexed: 12/29/2022] Open
Abstract
Cardiogenesis is a tightly regulated dynamic process through a continuum of differentiation and proliferation events. Key factors and pathways governing this process remain incompletely understood. Here, we investigate mice hearts from embryonic day 10.5 to postnatal week 8 and dissect developmental changes in phosphoproteome-, proteome-, metabolome-, and transcriptome-encompassing cardiogenesis and cardiac maturation. We identify mitogen-activated protein kinases as core kinases involved in transcriptional regulation by mediating the phosphorylation of chromatin remodeling proteins during early cardiogenesis. We construct the reciprocal regulatory network of transcription factors (TFs) and identify a series of TFs controlling early cardiogenesis involved in cycling-dependent proliferation. After birth, we identify cardiac resident macrophages with high arachidonic acid metabolism activities likely involved in the clearance of injured apoptotic cardiomyocytes. Together, our comprehensive multi-omics data offer a panoramic view of cardiac development and maturation that provides a resource for further in-depth functional exploration.
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Affiliation(s)
- Yayun Gu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Yan Zhou
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Sihan Ju
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xiaofei Liu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Zicheng Zhang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Jia Guo
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Jimiao Gao
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Jie Zang
- School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Hao Sun
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Qi Chen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Jinghan Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Jiani Xu
- School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Yiqun Xu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Yingjia Chen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Yueshuai Guo
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Juncheng Dai
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Cheng Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Guangfu Jin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Chaojun Li
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Hongbing Shen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Yang Yang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Xuejiang Guo
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211100, China; School of Public Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211100, China.
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Single-cell transcriptomic analysis identifies murine heart molecular features at embryonic and neonatal stages. Nat Commun 2022; 13:7960. [PMID: 36575170 PMCID: PMC9794824 DOI: 10.1038/s41467-022-35691-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 12/19/2022] [Indexed: 12/28/2022] Open
Abstract
Heart development is a continuous process involving significant remodeling during embryogenesis and neonatal stages. To date, several groups have used single-cell sequencing to characterize the heart transcriptomes but failed to capture the progression of heart development at most stages. This has left gaps in understanding the contribution of each cell type across cardiac development. Here, we report the transcriptional profile of the murine heart from early embryogenesis to late neonatal stages. Through further analysis of this dataset, we identify several transcriptional features. We identify gene expression modules enriched at early embryonic and neonatal stages; multiple cell types in the left and right atriums are transcriptionally distinct at neonatal stages; many congenital heart defect-associated genes have cell type-specific expression; stage-unique ligand-receptor interactions are mostly between epicardial cells and other cell types at neonatal stages; and mutants of epicardium-expressed genes Wt1 and Tbx18 have different heart defects. Assessment of this dataset serves as an invaluable source of information for studies of heart development.
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21
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Jung Y, Kim J, Jang H, Kim G, Kwon YW. Strategy of Patient-Specific Therapeutics in Cardiovascular Disease Through Single-Cell RNA Sequencing. Korean Circ J 2022; 53:1-16. [PMID: 36627736 PMCID: PMC9834554 DOI: 10.4070/kcj.2022.0295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022] Open
Abstract
Recently, single cell RNA sequencing (scRNA-seq) technology has enabled the discovery of novel or rare subtypes of cells and their characteristics. This technique has advanced unprecedented biomedical research by enabling the profiling and analysis of the transcriptomes of single cells at high resolution and throughput. Thus, scRNA-seq has contributed to recent advances in cardiovascular research by the generation of cell atlases of heart and blood vessels and the elucidation of mechanisms involved in cardiovascular development and diseases. This review summarizes the overall workflow of the scRNA-seq technique itself and key findings in the cardiovascular development and diseases based on the previous studies. In particular, we focused on how the single-cell sequencing technology can be utilized in clinical field and precision medicine to treat specific diseases.
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Affiliation(s)
- Yunseo Jung
- Strategic Center of Cell and Bio Therapy for Heart, Diabetes & Cancer, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Juyeong Kim
- Department of Medicine, Seoul National University College of Medicine, Seoul National University, Seoul, Korea
| | - Howon Jang
- Department of Medicine, Seoul National University College of Medicine, Seoul National University, Seoul, Korea
| | - Gwanhyeon Kim
- Department of Medicine, Seoul National University College of Medicine, Seoul National University, Seoul, Korea
| | - Yoo-Wook Kwon
- Strategic Center of Cell and Bio Therapy for Heart, Diabetes & Cancer, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.,Department of Medicine, Seoul National University College of Medicine, Seoul National University, Seoul, Korea
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22
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Gorin G, Fang M, Chari T, Pachter L. RNA velocity unraveled. PLoS Comput Biol 2022; 18:e1010492. [PMID: 36094956 PMCID: PMC9499228 DOI: 10.1371/journal.pcbi.1010492] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 09/22/2022] [Accepted: 08/14/2022] [Indexed: 11/24/2022] Open
Abstract
We perform a thorough analysis of RNA velocity methods, with a view towards understanding the suitability of the various assumptions underlying popular implementations. In addition to providing a self-contained exposition of the underlying mathematics, we undertake simulations and perform controlled experiments on biological datasets to assess workflow sensitivity to parameter choices and underlying biology. Finally, we argue for a more rigorous approach to RNA velocity, and present a framework for Markovian analysis that points to directions for improvement and mitigation of current problems. Single-cell sequencing data are snapshots of biological processes, making it challenging to infer dynamic relationships between cell types. RNA velocity attempts to bypass this challenge by treating the unspliced RNA content as a proxy for spliced RNA content in the near future, and using this “extrapolation” to build directional relationships. However, the method, as implemented in several software packages, is not yet reliable enough to be actionable, in part due to the large number of arbitrary, user-set hyperparameters, as well as fundamental incompatibilities between the biophysics of transcription in the living cell and the models used throughout the velocity workflows. In this study, we review these issues, and use existing results from the fields of stochastic modeling and fluorescence transcriptomics to develop an alternative theoretical framework. We show that our framework can facilitate the development and inference of physically consistent models for sequencing data, as well as the unification of single-cell analyses to self-consistently treat variation due to cell type dynamics and identities, the stochasticity inherent to single-molecule processes, and the uncertainty introduced by sequencing experiments.
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Affiliation(s)
- Gennady Gorin
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, United States of America
| | - Meichen Fang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
| | - Tara Chari
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
| | - Lior Pachter
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
- Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, California, United States of America
- * E-mail:
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23
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Gonzalez DM, Schrode N, Ebrahim TAM, Broguiere N, Rossi G, Drakhlis L, Zweigerdt R, Lutolf MP, Beaumont KG, Sebra R, Dubois NC. Dissecting mechanisms of chamber-specific cardiac differentiation and its perturbation following retinoic acid exposure. Development 2022; 149:275658. [DOI: 10.1242/dev.200557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 05/26/2022] [Indexed: 11/20/2022]
Abstract
ABSTRACT
The specification of distinct cardiac lineages occurs before chamber formation and acquisition of bona fide atrial or ventricular identity. However, the mechanisms underlying these early specification events remain poorly understood. Here, we performed single cell analysis at the murine cardiac crescent, primitive heart tube and heart tube stages to uncover the transcriptional mechanisms underlying formation of atrial and ventricular cells. We find that progression towards differentiated cardiomyocytes occurs primarily based on heart field progenitor identity, and that progenitors contribute to ventricular or atrial identity through distinct differentiation mechanisms. We identify new candidate markers that define such differentiation processes and examine their expression dynamics using computational lineage trajectory methods. We further show that exposure to exogenous retinoic acid causes defects in ventricular chamber size, dysregulation in FGF signaling and a shunt in differentiation towards orthogonal lineages. Retinoic acid also causes defects in cell-cycle exit resulting in formation of hypomorphic ventricles. Collectively, our data identify, at a single cell level, distinct lineage trajectories during cardiac specification and differentiation, and the precise effects of manipulating cardiac progenitor patterning via retinoic acid signaling.
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Affiliation(s)
- David M. Gonzalez
- Icahn School of Medicine at Mount Sinai 1 Department of Cell, Developmental, and Regenerative Biology , , New York, NY 10029 , USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai 2 , New York, NY 10029 , USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai 3 , New York, NY 10029 , USA
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai 4 , New York, NY 10029 , USA
| | - Nadine Schrode
- Icahn School of Medicine at Mount Sinai 5 Department of Genetics and Genomic Sciences , , New York, NY 10029 , USA
| | - Tasneem A. M. Ebrahim
- Icahn School of Medicine at Mount Sinai 1 Department of Cell, Developmental, and Regenerative Biology , , New York, NY 10029 , USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai 2 , New York, NY 10029 , USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai 3 , New York, NY 10029 , USA
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai 4 , New York, NY 10029 , USA
| | - Nicolas Broguiere
- School of Life Sciences, EPFL 6 Laboratory of Stem Cell Bioengineering , , Lausanne CH-1015 , Switzerland
| | - Giuliana Rossi
- School of Life Sciences, EPFL 6 Laboratory of Stem Cell Bioengineering , , Lausanne CH-1015 , Switzerland
| | - Lika Drakhlis
- Roche Institute for Translational Bioengineering 7 , Roche Pharma Research and Early Development , Basel 4052 , Switzerland
| | - Robert Zweigerdt
- Roche Institute for Translational Bioengineering 7 , Roche Pharma Research and Early Development , Basel 4052 , Switzerland
| | - Matthias P. Lutolf
- School of Life Sciences, EPFL 6 Laboratory of Stem Cell Bioengineering , , Lausanne CH-1015 , Switzerland
- Roche Institute for Translational Bioengineering 7 , Roche Pharma Research and Early Development , Basel 4052 , Switzerland
| | - Kristin G. Beaumont
- Icahn School of Medicine at Mount Sinai 5 Department of Genetics and Genomic Sciences , , New York, NY 10029 , USA
- Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO) 8 , Department of Cardiothoracic, Transplantation and Vascular Surgery (HTTG) , , Hannover , Germany
- REBIRTH–Research Center for Translational Regenerative Medicine, Hannover Medical School 8 , Department of Cardiothoracic, Transplantation and Vascular Surgery (HTTG) , , Hannover , Germany
| | - Robert Sebra
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai 3 , New York, NY 10029 , USA
- Icahn School of Medicine at Mount Sinai 5 Department of Genetics and Genomic Sciences , , New York, NY 10029 , USA
- Sema4, a Mount Sinai venture 9 , Stamford, CT 06902 , USA
| | - Nicole C. Dubois
- Icahn School of Medicine at Mount Sinai 1 Department of Cell, Developmental, and Regenerative Biology , , New York, NY 10029 , USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai 2 , New York, NY 10029 , USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai 3 , New York, NY 10029 , USA
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai 4 , New York, NY 10029 , USA
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24
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Shang M, Hu Y, Cao H, Lin Q, Yi N, Zhang J, Gu Y, Yang Y, He S, Lu M, Peng L, Li L. Concordant and Heterogeneity of Single-Cell Transcriptome in Cardiac Development of Human and Mouse. Front Genet 2022; 13:892766. [PMID: 35832197 PMCID: PMC9271823 DOI: 10.3389/fgene.2022.892766] [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: 03/09/2022] [Accepted: 05/16/2022] [Indexed: 11/28/2022] Open
Abstract
Normal heart development is vital for maintaining its function, and the development process is involved in complex interactions between different cell lineages. How mammalian hearts develop differently is still not fully understood. In this study, we identified several major types of cardiac cells, including cardiomyocytes (CMs), fibroblasts (FBs), endothelial cells (ECs), ECs/FBs, epicardial cells (EPs), and immune cells (macrophage/monocyte cluster, MACs/MONOs), based on single-cell transcriptome data from embryonic hearts of both human and mouse. Then, species-shared and species-specific marker genes were determined in the same cell type between the two species, and the genes with consistent and different expression patterns were also selected by constructing the developmental trajectories. Through a comparison of the development stage similarity of CMs, FBs, and ECs/FBs between humans and mice, it is revealed that CMs at e9.5 and e10.5 of mice are most similar to those of humans at 7 W and 9 W, respectively. Mouse FBs at e10.5, e13.5, and e14.5 are correspondingly more like the same human cells at 6, 7, and 9 W. Moreover, the e9.5-ECs/FBs of mice are most similar to that of humans at 10W. These results provide a resource for understudying cardiac cell types and the crucial markers able to trace developmental trajectories among the species, which is beneficial for finding suitable mouse models to detect human cardiac physiology and related diseases.
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Affiliation(s)
- Mengyue Shang
- Key Laboratory of Arrhythmias, Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Heart Health Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Genetics, Tongji University, Shanghai, China
| | - Yi Hu
- Key Laboratory of Arrhythmias, Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Heart Health Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Genetics, Tongji University, Shanghai, China
| | - Huaming Cao
- Department of Cardiology, Shanghai Shibei Hospital, Shanghai, China
| | - Qin Lin
- Key Laboratory of Arrhythmias, Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Heart Health Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Genetics, Tongji University, Shanghai, China
| | - Na Yi
- Key Laboratory of Arrhythmias, Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Heart Health Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Genetics, Tongji University, Shanghai, China
| | - Junfang Zhang
- Institute of Medical Genetics, Tongji University, Shanghai, China
| | - Yanqiong Gu
- Institute of Medical Genetics, Tongji University, Shanghai, China
| | - Yujie Yang
- Institute of Medical Genetics, Tongji University, Shanghai, China
| | - Siyu He
- Key Laboratory of Arrhythmias, Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Heart Health Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Genetics, Tongji University, Shanghai, China
| | - Min Lu
- Key Laboratory of Arrhythmias, Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Luying Peng
- Key Laboratory of Arrhythmias, Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Heart Health Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Genetics, Tongji University, Shanghai, China
- Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
- Research Units of Origin and Regulation of Heart Rhythm, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Luying Peng, ; Li Li,
| | - Li Li
- Key Laboratory of Arrhythmias, Ministry of Education of China, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Heart Health Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Genetics, Tongji University, Shanghai, China
- Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
- Research Units of Origin and Regulation of Heart Rhythm, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Luying Peng, ; Li Li,
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25
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Migratory and anti-fibrotic programmes define the regenerative potential of human cardiac progenitors. Nat Cell Biol 2022; 24:659-671. [PMID: 35550611 PMCID: PMC9106586 DOI: 10.1038/s41556-022-00899-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 03/11/2022] [Indexed: 12/11/2022]
Abstract
Heart regeneration is an unmet clinical need, hampered by limited renewal of adult cardiomyocytes and fibrotic scarring. Pluripotent stem cell-based strategies are emerging, but unravelling cellular dynamics of host–graft crosstalk remains elusive. Here, by combining lineage tracing and single-cell transcriptomics in injured non-human primate heart biomimics, we uncover the coordinated action modes of human progenitor-mediated muscle repair. Chemoattraction via CXCL12/CXCR4 directs cellular migration to injury sites. Activated fibroblast repulsion targets fibrosis by SLIT2/ROBO1 guidance in organizing cytoskeletal dynamics. Ultimately, differentiation and electromechanical integration lead to functional restoration of damaged heart muscle. In vivo transplantation into acutely and chronically injured porcine hearts illustrated CXCR4-dependent homing, de novo formation of heart muscle, scar-volume reduction and prevention of heart failure progression. Concurrent endothelial differentiation contributed to graft neovascularization. Our study demonstrates that inherent developmental programmes within cardiac progenitors are sequentially activated in disease, enabling the cells to sense and counteract acute and chronic injury. In this study, the authors report that pluripotent stem cell-derived ventricular progenitors target loss of myocardium and fibrotic scarring to promote heart regeneration, thus offering new potential therapeutic strategies for heart injury.
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26
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Wang L, Yang Y, Ma H, Xie Y, Xu J, Near D, Wang H, Garbutt T, Li Y, Liu J, Qian L. Single-cell dual-omics reveals the transcriptomic and epigenomic diversity of cardiac non-myocytes. Cardiovasc Res 2022; 118:1548-1563. [PMID: 33839759 PMCID: PMC9074971 DOI: 10.1093/cvr/cvab134] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 04/08/2021] [Indexed: 12/24/2022] Open
Abstract
AIMS The precise cellular identity and molecular features of non-myocytes (non-CMs) in a mammalian heart at a single-cell level remain elusive. Depiction of epigenetic landscape with transcriptomic signatures using the latest single-cell multi-omics has the potential to unravel the molecular programs underlying the cellular diversity of cardiac non-myocytes. Here, we characterized the molecular and cellular features of cardiac non-CM populations in the adult murine heart at the single-cell level. METHODS AND RESULTS Through single-cell dual omics analysis, we mapped the epigenetic landscapes, characterized the transcriptomic profiles and delineated the molecular signatures of cardiac non-CMs in the adult murine heart. Distinct cis-regulatory elements and trans-acting factors for the individual major non-CM cell types (endothelial cells, fibroblast, pericytes, and immune cells) were identified. In particular, unbiased sub-clustering and functional annotation of cardiac fibroblasts (FBs) revealed extensive FB heterogeneity and identified FB sub-types with functional states related to the cellular response to stimuli, cytoskeleton organization, and immune regulation, respectively. We further explored the function of marker genes Hsd11b1 and Gfpt2 that label major FB subpopulations and determined the distribution of Hsd11b1+ and Gfp2+ FBs in murine healthy and diseased hearts. CONCLUSIONS In summary, we characterized the non-CM cellular identity at the transcriptome and epigenome levels using single-cell omics approaches and discovered previously unrecognized cardiac fibroblast subpopulations with unique functional states.
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Affiliation(s)
- Li Wang
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yuchen Yang
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Hong Ma
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yifang Xie
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jun Xu
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
| | - David Near
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
| | - Haofei Wang
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tiffany Garbutt
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Jiandong Liu
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
| | - Li Qian
- Department of Pathology and Laboratory Medicine, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
- McAllister Heart Institute, University of North Carolina, 111 Mason Farm Rd, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA
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27
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Deciphering Cardiac Biology and Disease by Single-Cell Transcriptomic Profiling. Biomolecules 2022; 12:biom12040566. [PMID: 35454155 PMCID: PMC9032111 DOI: 10.3390/biom12040566] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/02/2022] [Accepted: 04/04/2022] [Indexed: 11/29/2022] Open
Abstract
By detecting minute molecular changes in hundreds to millions of single cells, single-cell RNA sequencing allows for the comprehensive characterization of the diversity and dynamics of cells in the heart. Our understanding of the heart has been transformed through the recognition of cellular heterogeneity, the construction of regulatory networks, the building of lineage trajectories, and the mapping of intercellular crosstalk. In this review, we introduce cardiac progenitors and their transcriptional regulation during embryonic development, highlight cellular heterogeneity and cell subtype functions in cardiac health and disease, and discuss insights gained from the study of pluripotent stem-cell-derived cardiomyocytes.
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28
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Woodward AA, Taylor DM, Goldmuntz E, Mitchell LE, Agopian A, Moore JH, Urbanowicz RJ. Gene-Interaction-Sensitive enrichment analysis in congenital heart disease. BioData Min 2022; 15:4. [PMID: 35151364 PMCID: PMC8841104 DOI: 10.1186/s13040-022-00287-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 01/17/2022] [Indexed: 11/24/2022] Open
Abstract
Background Gene set enrichment analysis (GSEA) uses gene-level univariate associations to identify gene set-phenotype associations for hypothesis generation and interpretation. We propose that GSEA can be adapted to incorporate SNP and gene-level interactions. To this end, gene scores are derived by Relief-based feature importance algorithms that efficiently detect both univariate and interaction effects (MultiSURF) or exclusively interaction effects (MultiSURF*). We compare these interaction-sensitive GSEA approaches to traditional χ2 rankings in simulated genome-wide array data, and in a target and replication cohort of congenital heart disease patients with conotruncal defects (CTDs). Results In the simulation study and for both CTD datasets, both Relief-based approaches to GSEA captured more relevant and significant gene ontology terms compared to the univariate GSEA. Key terms and themes of interest include cell adhesion, migration, and signaling. A leading edge analysis highlighted semaphorins and their receptors, the Slit-Robo pathway, and other genes with roles in the secondary heart field and outflow tract development. Conclusions Our results indicate that interaction-sensitive approaches to enrichment analysis can improve upon traditional univariate GSEA. This approach replicated univariate findings and identified additional and more robust support for the role of the secondary heart field and cardiac neural crest cell migration in the development of CTDs. Supplementary Information The online version contains supplementary material available at (10.1186/s13040-022-00287-w).
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29
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Fan Y, Zhou H, Liu X, Li J, Xu K, Fu X, Ye L, Li G. Applications of Single-Cell RNA Sequencing in Cardiovascular Research. Front Cell Dev Biol 2022; 9:810232. [PMID: 35174168 PMCID: PMC8841340 DOI: 10.3389/fcell.2021.810232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 12/14/2021] [Indexed: 11/28/2022] Open
Abstract
In recent years, cardiovascular disease (CVD) continues to be the leading cause of global disease burden. Extensive efforts have been made across basic, translational, and clinical research domains to curb the CVD epidemic and improve the health of the population. The successful completion of the Human Genome Project catapulted sequencing technology into the mainstream and aroused the interests of clinicians and scientific researchers alike. Advances in single-cell RNA sequencing (scRNA-seq), which is based on the transcriptional phenotypes of individual cells, have enabled the investigation of cellular fate, heterogeneity, and cell–cell interactions, as well as cell lineage determination, at a single-cell resolution. In this review, we summarize recent findings on the embryological development of the cardiovascular system and the pathogenesis and treatment of cardiovascular disease, as revealed by scRNA-seq technology. In particular, we discuss how scRNA-seq can help identify potential targets for the treatment of cardiovascular diseases and conclude with future perspectives for scRNA-seq.
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Affiliation(s)
- Yu Fan
- Key Laboratory of Medical Electrophysiology, Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention of Cardiovascular Diseases, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
- Department of Obstetrics, Sichuan Clinical Research Center for Birth Defects, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Han Zhou
- Key Laboratory of Medical Electrophysiology, Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention of Cardiovascular Diseases, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
| | - Xuexue Liu
- Key Laboratory of Medical Electrophysiology, Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention of Cardiovascular Diseases, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
| | - Jingyan Li
- Key Laboratory of Medical Electrophysiology, Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention of Cardiovascular Diseases, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
| | - Ke Xu
- Key Laboratory of Medical Electrophysiology, Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention of Cardiovascular Diseases, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
| | - Xiaodong Fu
- Department of Obstetrics, Sichuan Clinical Research Center for Birth Defects, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Lei Ye
- National Heart Research Institute of Singapore, Singapore, Singapore
- *Correspondence: Lei Ye, ; Guang Li,
| | - Guang Li
- Key Laboratory of Medical Electrophysiology, Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention of Cardiovascular Diseases, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
- *Correspondence: Lei Ye, ; Guang Li,
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30
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Li X, Yue Y, Zhang Y, Liao Y, Wang Q, Bian Y, Na J, He A. Continuous live imaging reveals a subtle pathological alteration with cell behaviors in congenital heart malformation. FUNDAMENTAL RESEARCH 2022; 2:14-22. [PMID: 38933910 PMCID: PMC11197809 DOI: 10.1016/j.fmre.2021.11.025] [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: 09/06/2021] [Revised: 10/26/2021] [Accepted: 11/03/2021] [Indexed: 11/17/2022] Open
Abstract
To form fully functional four-chambered structure, mammalian heart development undergoes a transient finger-shaped trabeculae, crucial for efficient contraction and exchange for gas and nutrient. Although its developmental origin and direct relevance to congenital heart disease has been studied extensively, the time-resolved cellular mechanism underlying hypotrabeculation remains elusive. Here, we employed in toto live imaging and reconstructed the holistic cell lineages and cellular behavior landscape of control and hypotrabeculed hearts of mouse embryos from E9.5 for up to 24 h. Compared to control, hypotrabeculation in ErbB2 mutants arose mainly through dual mechanisms: both reduced proliferation of trabecular cardiomyocytes from early cell fate segregation and markedly impaired oriented cell division and migration. Further examination of mosaic mutant hearts confirmed alterations in cellular behaviors in a cell autonomous manner. Thus, our work offers a framework for continuous live imaging and digital cell lineage analysis to better understand subtle pathological alterations in congenital heart disease.
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Affiliation(s)
- Xin Li
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Yanzhu Yue
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Youdong Zhang
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Yuanhui Liao
- School of Software and Microelectronics, Peking University, Beijing 100871, China
| | - Qianhao Wang
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Yunkun Bian
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Jie Na
- Centre for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Aibin He
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
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31
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Dissecting the Complexity of Early Heart Progenitor Cells. J Cardiovasc Dev Dis 2021; 9:jcdd9010005. [PMID: 35050215 PMCID: PMC8779398 DOI: 10.3390/jcdd9010005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 12/17/2021] [Accepted: 12/22/2021] [Indexed: 12/23/2022] Open
Abstract
Early heart development depends on the coordinated participation of heterogeneous cell sources. As pioneer work from Adriana C. Gittenberger-de Groot demonstrated, characterizing these distinct cell sources helps us to understand congenital heart defects. Despite decades of research on the segregation of lineages that form the primitive heart tube, we are far from understanding its full complexity. Currently, single-cell approaches are providing an unprecedented level of detail on cellular heterogeneity, offering new opportunities to decipher its functional role. In this review, we will focus on three key aspects of early heart morphogenesis: First, the segregation of myocardial and endocardial lineages, which yields an early lineage diversification in cardiac development; second, the signaling cues driving differentiation in these progenitor cells; and third, the transcriptional heterogeneity of cardiomyocyte progenitors of the primitive heart tube. Finally, we discuss how single-cell transcriptomics and epigenomics, together with live imaging and functional analyses, will likely transform the way we delve into the complexity of cardiac development and its links with congenital defects.
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32
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Dai Z, Nomura S. Recent Progress in Cardiovascular Research Involving Single-Cell Omics Approaches. Front Cardiovasc Med 2021; 8:783398. [PMID: 34977189 PMCID: PMC8716466 DOI: 10.3389/fcvm.2021.783398] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 11/22/2021] [Indexed: 01/08/2023] Open
Abstract
Cardiovascular diseases are among the leading causes of morbidity and mortality worldwide. Although the spectrum of the heart from development to disease has long been studied, it remains largely enigmatic. The emergence of single-cell omics technologies has provided a powerful toolbox for defining cell heterogeneity, unraveling previously unknown pathways, and revealing intercellular communications, thereby boosting biomedical research and obtaining numerous novel findings over the last 7 years. Not only cell atlases of normal and developing hearts that provided substantial research resources, but also some important findings regarding cell-type-specific disease gene program, could never have been established without single-cell omics technologies. Herein, we briefly describe the latest technological advances in single-cell omics and summarize the major findings achieved by such approaches, with a focus on development and homeostasis of the heart, myocardial infarction, and heart failure.
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Affiliation(s)
| | - Seitaro Nomura
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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33
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Stutt N, Song M, Wilson MD, Scott IC. Cardiac specification during gastrulation - The Yellow Brick Road leading to Tinman. Semin Cell Dev Biol 2021; 127:46-58. [PMID: 34865988 DOI: 10.1016/j.semcdb.2021.11.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/05/2021] [Accepted: 11/11/2021] [Indexed: 02/07/2023]
Abstract
The question of how the heart develops, and the genetic networks governing this process have become intense areas of research over the past several decades. This research is propelled by classical developmental studies and potential clinical applications to understand and treat congenital conditions in which cardiac development is disrupted. Discovery of the tinman gene in Drosophila, and examination of its vertebrate homolog Nkx2.5, along with other core cardiac transcription factors has revealed how cardiac progenitor differentiation and maturation drives heart development. Careful observation of cardiac morphogenesis along with lineage tracing approaches indicated that cardiac progenitors can be divided into two broad classes of cells, namely the first and second heart fields, that contribute to the heart in two distinct waves of differentiation. Ample evidence suggests that the fate of individual cardiac progenitors is restricted to distinct cardiac structures quite early in development, well before the expression of canonical cardiac progenitor markers like Nkx2.5. Here we review the initial specification of cardiac progenitors, discuss evidence for the early patterning of cardiac progenitors during gastrulation, and consider how early gene expression programs and epigenetic patterns can direct their development. A complete understanding of when and how the developmental potential of cardiac progenitors is determined, and their potential plasticity, is of great interest developmentally and also has important implications for both the study of congenital heart disease and therapeutic approaches based on cardiac stem cell programming.
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Affiliation(s)
- Nathan Stutt
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S1A8, Canada
| | - Mengyi Song
- Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, ON M5G0A4, Canada; Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S1A8, Canada
| | - Michael D Wilson
- Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, ON M5G0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S1A8, Canada
| | - Ian C Scott
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S1A8, Canada.
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Wang M, Gu M, Liu L, Liu Y, Tian L. Single-Cell RNA Sequencing (scRNA-seq) in Cardiac Tissue: Applications and Limitations. Vasc Health Risk Manag 2021; 17:641-657. [PMID: 34629873 PMCID: PMC8495612 DOI: 10.2147/vhrm.s288090] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 09/14/2021] [Indexed: 12/16/2022] Open
Abstract
Cardiovascular diseases (CVDs) are a group of disorders of the blood vessels and heart, which are considered as the leading causes of death worldwide. The pathology of CVDs could be related to the functional abnormalities of multiple cell types in the heart. Single-cell RNA sequencing (scRNA-seq) technology is a powerful method for characterizing individual cells and elucidating the molecular mechanisms by providing a high resolution of transcriptomic changes at the single-cell level. Specifically, scRNA-seq has provided novel insights into CVDs by identifying rare cardiac cell types, inferring the trajectory tree, estimating RNA velocity, elucidating the cell-cell communication, and comparing healthy and pathological heart samples. In this review, we summarize the different scRNA-seq platforms and published single-cell datasets in the cardiovascular field, and describe the utilities and limitations of this technology. Lastly, we discuss the future perspective of the application of scRNA-seq technology into cardiovascular research.
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Affiliation(s)
- Mingqiang Wang
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Mingxia Gu
- Perinatal Institute, Division of Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
- Center for Stem Cell and Organoid Medicine, CuSTOM, Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Ling Liu
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Yu Liu
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Lei Tian
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
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35
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Rowton M, Guzzetta A, Rydeen AB, Moskowitz IP. Control of cardiomyocyte differentiation timing by intercellular signaling pathways. Semin Cell Dev Biol 2021; 118:94-106. [PMID: 34144893 PMCID: PMC8968240 DOI: 10.1016/j.semcdb.2021.06.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/19/2021] [Accepted: 06/03/2021] [Indexed: 02/06/2023]
Abstract
Congenital Heart Disease (CHD), malformations of the heart present at birth, is the most common class of life-threatening birth defect (Hoffman (1995) [1], Gelb (2004) [2], Gelb (2014) [3]). A major research challenge is to elucidate the genetic determinants of CHD and mechanistically link CHD ontogeny to a molecular understanding of heart development. Although the embryonic origins of CHD are unclear in most cases, dysregulation of cardiovascular lineage specification, patterning, proliferation, migration or differentiation have been described (Olson (2004) [4], Olson (2006) [5], Srivastava (2006) [6], Dunwoodie (2007) [7], Bruneau (2008) [8]). Cardiac differentiation is the process whereby cells become progressively more dedicated in a trajectory through the cardiac lineage towards mature cardiomyocytes. Defects in cardiac differentiation have been linked to CHD, although how the complex control of cardiac differentiation prevents CHD is just beginning to be understood. The stages of cardiac differentiation are highly stereotyped and have been well-characterized (Kattman et al. (2011) [9], Wamstad et al. (2012) [10], Luna-Zurita et al. (2016) [11], Loh et al. (2016) [12], DeLaughter et al. (2016) [13]); however, the developmental and molecular mechanisms that promote or delay the transition of a cell through these stages have not been as deeply investigated. Tight temporal control of progenitor differentiation is critically important for normal organ size, spatial organization, and cellular physiology and homeostasis of all organ systems (Raff et al. (1985) [14], Amthor et al. (1998) [15], Kopan et al. (2014) [16]). This review will focus on the action of signaling pathways in the control of cardiomyocyte differentiation timing. Numerous signaling pathways, including the Wnt, Fibroblast Growth Factor, Hedgehog, Bone Morphogenetic Protein, Insulin-like Growth Factor, Thyroid Hormone and Hippo pathways, have all been implicated in promoting or inhibiting transitions along the cardiac differentiation trajectory. Gaining a deeper understanding of the mechanisms controlling cardiac differentiation timing promises to yield insights into the etiology of CHD and to inform approaches to restore function to damaged hearts.
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36
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Samad T, Wu SM. Single cell RNA sequencing approaches to cardiac development and congenital heart disease. Semin Cell Dev Biol 2021; 118:129-135. [PMID: 34006454 PMCID: PMC8434959 DOI: 10.1016/j.semcdb.2021.04.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 04/26/2021] [Accepted: 04/26/2021] [Indexed: 12/27/2022]
Abstract
The development of single cell RNA sequencing technologies has accelerated the ability of scientists to understand healthy and disease states of the cardiovascular system. Congenital heart defects occur in approximately 40,000 births each year and 1 out of 4 children are born with critical congenital heart disease requiring surgical interventions and a lifetime of monitoring. An understanding of how the normal heart develops and how each cell contributes to normal and pathological anatomy is an important goal in pediatric cardiovascular research. Single cell sequencing has provided the tools to increase the ability to discover rare cell types and novel genes involved in normal cardiac development. Knowledge of gene expression of single cells within cardiac tissue has contributed to the understanding of how each cell type contributes to the anatomic structures of the heart. In this review, we summarize how single cell RNA sequencing has been utilized to understand cardiac developmental processes and congenital heart disease. We discuss the advantages and disadvantages of whole cell versus single nuclei RNA sequencing and describe the approaches to analyze the interactomes, transcriptomes, and differentiation trajectory from single cell data. We summarize the currently available single cell RNA sequencing technologies and technical aspects of performing single cell analysis and how to overcome common obstacles. We also review data from the recently published human and mouse fetal heart atlases and advancements that have occurred within the field due to the application of these single cell tools. Finally we highlight the potential for single cell technologies to uncover novel mechanisms of disease pathogenesis by leveraging findings from genome wide association studies.
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Affiliation(s)
- Tahmina Samad
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA; Clinical and Translational Research Program, Stanford University School of Medicine, Stanford, CA, USA; Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Sean M Wu
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
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37
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Miyamoto M, Gangrade H, Tampakakis E. Understanding Heart Field Progenitor Cells for Modeling Congenital Heart Diseases. Curr Cardiol Rep 2021; 23:38. [PMID: 33694131 DOI: 10.1007/s11886-021-01468-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/11/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE OF REVIEW Heart development is a meticulously coordinated process that involves the specification of two distinct populations of cardiac progenitor cells, namely the first and the second heart field. Disruption of heart field progenitors can result in congenital heart defects. In this review, we aim to describe the signaling pathways and transcription factors that link heart field development and congenital heart disease. RECENT FINDINGS Single-cell transcriptomics, lineage-tracing mouse models, and stem cell-based in vitro modeling of cardiogenesis have significantly improved the spatiotemporal characterization of cardiac progenitors. Additionally, novel functional genomic studies have now linked more genetic variants with congenital heart disease. Dysregulation of cardiac progenitor cells causes malformations that can be lethal. Ongoing research will continue to shed light on cardiac morphogenesis and help us better understand and treat patients with congenital heart disease.
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Affiliation(s)
- Matthew Miyamoto
- Department of Medicine, Division of Cardiology, Johns Hopkins University, 720 Rutland Avenue, Ross 835, Baltimore, MD, 21205, USA
| | - Harshi Gangrade
- Department of Medicine, Division of Cardiology, Johns Hopkins University, 720 Rutland Avenue, Ross 835, Baltimore, MD, 21205, USA
| | - Emmanouil Tampakakis
- Department of Medicine, Division of Cardiology, Johns Hopkins University, 720 Rutland Avenue, Ross 835, Baltimore, MD, 21205, USA.
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38
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Tyser RCV, Ibarra-Soria X, McDole K, Arcot Jayaram S, Godwin J, van den Brand TAH, Miranda AMA, Scialdone A, Keller PJ, Marioni JC, Srinivas S. Characterization of a common progenitor pool of the epicardium and myocardium. Science 2021; 371:eabb2986. [PMID: 33414188 PMCID: PMC7615359 DOI: 10.1126/science.abb2986] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 08/13/2020] [Accepted: 12/17/2020] [Indexed: 12/14/2022]
Abstract
The mammalian heart is derived from multiple cell lineages; however, our understanding of when and how the diverse cardiac cell types arise is limited. We mapped the origin of the embryonic mouse heart at single-cell resolution using a combination of transcriptomic, imaging, and genetic lineage labeling approaches. This mapping provided a transcriptional and anatomic definition of cardiac progenitor types. Furthermore, it revealed a cardiac progenitor pool that is anatomically and transcriptionally distinct from currently known cardiac progenitors. Besides contributing to cardiomyocytes, these cells also represent the earliest progenitor of the epicardium, a source of trophic factors and cells during cardiac development and injury. This study provides detailed insights into the formation of early cardiac cell types, with particular relevance to the development of cell-based cardiac regenerative therapies.
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Affiliation(s)
- Richard C V Tyser
- Department of Physiology, Anatomy and Genetics, South Parks Road, University of Oxford, Oxford OX1 3QX, UK
| | - Ximena Ibarra-Soria
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Katie McDole
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Satish Arcot Jayaram
- Department of Physiology, Anatomy and Genetics, South Parks Road, University of Oxford, Oxford OX1 3QX, UK
| | - Jonathan Godwin
- Department of Physiology, Anatomy and Genetics, South Parks Road, University of Oxford, Oxford OX1 3QX, UK
| | - Teun A H van den Brand
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK
| | - Antonio M A Miranda
- Department of Physiology, Anatomy and Genetics, South Parks Road, University of Oxford, Oxford OX1 3QX, UK
| | - Antonio Scialdone
- Institute of Epigenetics and Stem Cells, Helmholtz Zentrum München, D-81377 München, Germany
- Institute of Functional Epigenetics, Helmholtz Zentrum München, D-85764 Neuherberg, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, D-85764 Neuherberg, Germany
| | - Philipp J Keller
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - John C Marioni
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - Shankar Srinivas
- Department of Physiology, Anatomy and Genetics, South Parks Road, University of Oxford, Oxford OX1 3QX, UK.
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Ex uno, plures-From One Tissue to Many Cells: A Review of Single-Cell Transcriptomics in Cardiovascular Biology. Int J Mol Sci 2021; 22:ijms22042071. [PMID: 33669808 PMCID: PMC7922347 DOI: 10.3390/ijms22042071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 02/15/2021] [Accepted: 02/16/2021] [Indexed: 11/17/2022] Open
Abstract
Recent technological advances have revolutionized the study of tissue biology and garnered a greater appreciation for tissue complexity. In order to understand cardiac development, heart tissue homeostasis, and the effects of stress and injury on the cardiovascular system, it is essential to characterize the heart at high cellular resolution. Single-cell profiling provides a more precise definition of tissue composition, cell differentiation trajectories, and intercellular communication, compared to classical bulk approaches. Here, we aim to review how recent single-cell multi-omic studies have changed our understanding of cell dynamics during cardiac development, and in the healthy and diseased adult myocardium.
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40
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Sun B, Li F, Lai S, Zhang X, Wang H, Li Y, Wang W, Chen Y, Liu B, Zheng Y. Inhibition of CXCR2 alleviates the development of abdominal aortic aneurysm in Apo E-/- mice. Acta Cir Bras 2021; 36:e360105. [PMID: 33605308 PMCID: PMC7892195 DOI: 10.1590/acb360105] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 12/19/2020] [Indexed: 01/08/2023] Open
Abstract
PURPOSE To investigate the relationship between atherosclerotic abdominal aortic aneurysm (AAA) and CXC chemokine receptor type 2 (CXCR2). METHODS Mouse AAA model was established by embedding angiotensin-II pump (1000 ng/kg/min) in ApoE-/- mice. Mice were received SB225002, a selective CXCR2 antagonist, for treatment. Blood pressure was recorded, and CXCR2+ macrophages were examined by flow cytometry analysis. Terminal-deoxynucleotidyl transferase mediated nick end labeling (TUNEL) staining was performed to detect cell apoptosis of abdominal aortic aneurysms. Macrophages were isolated from ApoE-/- mice and treated with Ang II and/or SB225002. Dihydroethidium staining was carried out to determine reactive oxygen species (ROS) activity. Enzyme-linked immunosorbent assay (ELISA) was performed to determine the production of IL-1β and TNF-α. The corresponding gene expressions were measured using real-time polymerase chain reaction (PCR), western blot, and immunohistochemistry staining. RESULTS We found that Ang II activated the expression of CXCR2 in monocytes during the formation of AAA. Inhibition of CXCR2 significantly reduced the size of AAA, attenuated inflammation and phenotypic changes in blood vessels. Ang II-induced macrophages exhibited elevated ROS activity, and elevated levels of 1β and TNF-α, which were then partly abolished by SB225002. CONCLUSIONS CXCR2 plays an important role in AAA, suggesting that inhibiting CXCR2 may be a new treatment for AAA.
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Affiliation(s)
- Bo Sun
- Chinese Academy of Medical Sciences, China; Weifang People’s Hospital, China
| | | | | | - Xu Zhang
- Weifang People’s Hospital, China
| | | | - Yuan Li
- Weifang People’s Hospital, China
| | - Wei Wang
- Weifang People’s Hospital, China
| | | | - Bao Liu
- Weifang People’s Hospital, China
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41
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Chen Z, Wei L, Duru F, Chen L. Single-cell RNA Sequencing: In-depth Decoding of Heart Biology and Cardiovascular Diseases. Curr Genomics 2020; 21:585-601. [PMID: 33414680 PMCID: PMC7770632 DOI: 10.2174/1389202921999200604123914] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/23/2020] [Accepted: 04/17/2020] [Indexed: 02/07/2023] Open
Abstract
Background The cardiac system is a combination of a complex structure, various cells, and versatile specified functions and sophisticated regulatory mechanisms. Moreover, cardiac diseases that encompass a wide range of endogenous conditions, remain a serious health burden worldwide. Recent genome-wide profiling techniques have taken the lead in uncovering a new realm of cell types and molecular programs driving physiological and pathological processes in various organs and diseases. In particular, the emerging technique single-cell RNA sequencing dominates a breakthrough in decoding the cell heterogeneity, phenotype transition, and developmental dynamics in cardiovascular science. Conclusion Herein, we review recent advances in single cellular studies of cardiovascular system and summarize new insights provided by single-cell RNA sequencing in heart developmental sciences, stem-cell researches as well as normal or disease-related working mechanisms.
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Affiliation(s)
- Zhongli Chen
- 1Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China; 2State Key Laboratory of Cardiovascular Disease, Department of Cardiac Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; 3University Heart Center Zurich, University Heart Center, Zurich, Switzerland; 4Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Liang Wei
- 1Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China; 2State Key Laboratory of Cardiovascular Disease, Department of Cardiac Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; 3University Heart Center Zurich, University Heart Center, Zurich, Switzerland; 4Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Firat Duru
- 1Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China; 2State Key Laboratory of Cardiovascular Disease, Department of Cardiac Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; 3University Heart Center Zurich, University Heart Center, Zurich, Switzerland; 4Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Liang Chen
- 1Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China; 2State Key Laboratory of Cardiovascular Disease, Department of Cardiac Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; 3University Heart Center Zurich, University Heart Center, Zurich, Switzerland; 4Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
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42
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Yamada S, Nomura S. Review of Single-Cell RNA Sequencing in the Heart. Int J Mol Sci 2020; 21:E8345. [PMID: 33172208 PMCID: PMC7664385 DOI: 10.3390/ijms21218345] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 10/25/2020] [Accepted: 11/05/2020] [Indexed: 02/07/2023] Open
Abstract
Single-cell RNA sequencing (scRNA-seq) technology is a powerful, rapidly developing tool for characterizing individual cells and elucidating biological mechanisms at the cellular level. Cardiovascular disease is one of the major causes of death worldwide and its precise pathology remains unclear. scRNA-seq has provided many novel insights into both healthy and pathological hearts. In this review, we summarize the various scRNA-seq platforms and describe the molecular mechanisms of cardiovascular development and disease revealed by scRNA-seq analysis. We then describe the latest technological advances in scRNA-seq. Finally, we discuss how to translate basic research into clinical medicine using scRNA-seq technology.
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Affiliation(s)
- Shintaro Yamada
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan
| | - Seitaro Nomura
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan
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43
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Abstract
PURPOSE OF REVIEW The goal of this review is to summarize the state of big data analyses in the study of heart failure (HF). We discuss the use of big data in the HF space, focusing on "omics" and clinical data. We address some limitations of this data, as well as their future potential. RECENT FINDINGS Omics are providing insight into plasmal and myocardial molecular profiles in HF patients. The introduction of single cell and spatial technologies is a major advance that will reshape our understanding of cell heterogeneity and function as well as tissue architecture. Clinical data analysis focuses on HF phenotyping and prognostic modeling. Big data approaches are increasingly common in HF research. The use of methods designed for big data, such as machine learning, may help elucidate the biology underlying HF. However, important challenges remain in the translation of this knowledge into improvements in clinical care.
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Affiliation(s)
- Jan D Lanzer
- Institute for Computational Biomedicine, Bioquant, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
- Internal Medicine II, Heidelberg University Hospital, Heidelberg, Germany
| | - Florian Leuschner
- Department of Cardiology, Medical University Hospital, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Rafael Kramann
- Department of Nephrology and Clinical Immunology, RWTH Aachen University, Aachen, Germany
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Rebecca T Levinson
- Institute for Computational Biomedicine, Bioquant, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Heidelberg, Germany
- Internal Medicine II, Heidelberg University Hospital, Heidelberg, Germany
| | - Julio Saez-Rodriguez
- Institute for Computational Biomedicine, Bioquant, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Heidelberg, Germany.
- Joint Research Centre for Computational Biomedicine (JRC-COMBINE), Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
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Reading the heart at single-cell resolution. J Mol Cell Cardiol 2020; 148:34-45. [PMID: 32871159 DOI: 10.1016/j.yjmcc.2020.08.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 08/04/2020] [Accepted: 08/20/2020] [Indexed: 12/21/2022]
Abstract
The burgeoning field of single-cell transcriptomics augments our ability to scrutinize organ systems at unprecedented resolutions. Single-cell RNA sequencing (scRNA-seq) and analytical techniques have shed light on the cellular heterogeneity, developmental trajectories, intercellular communications of the cardiac system, and thus contributed much to the understanding of cardiac development, homeostasis and disorders. Although generalized protocols are well established for scRNA-seq pipelines, customized sample preparation, quality control, and data interpretation are still needed in cardiac research. In this article, we highlight major steps that impact data quality in scRNA-seq experiments, with particular focus on sample and data processing of cardiomyocytes. We also summarize popular applications of scRNA-seq, outlining general tools, caveats and examples in cardiac research.
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Paik DT, Cho S, Tian L, Chang HY, Wu JC. Single-cell RNA sequencing in cardiovascular development, disease and medicine. Nat Rev Cardiol 2020; 17:457-473. [PMID: 32231331 PMCID: PMC7528042 DOI: 10.1038/s41569-020-0359-y] [Citation(s) in RCA: 162] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/24/2020] [Indexed: 02/08/2023]
Abstract
Advances in single-cell RNA sequencing (scRNA-seq) technologies in the past 10 years have had a transformative effect on biomedical research, enabling the profiling and analysis of the transcriptomes of single cells at unprecedented resolution and throughput. Specifically, scRNA-seq has facilitated the identification of novel or rare cell types, the analysis of single-cell trajectory construction and stem or progenitor cell differentiation, and the comparison of healthy and disease-related tissues at single-cell resolution. These applications have been critical in advances in cardiovascular research in the past decade as evidenced by the generation of cell atlases of mammalian heart and blood vessels and the elucidation of mechanisms involved in cardiovascular development and stem or progenitor cell differentiation. In this Review, we summarize the currently available scRNA-seq technologies and analytical tools and discuss the latest findings using scRNA-seq that have substantially improved our knowledge on the development of the cardiovascular system and the mechanisms underlying cardiovascular diseases. Furthermore, we examine emerging strategies that integrate multimodal single-cell platforms, focusing on future applications in cardiovascular precision medicine that use single-cell omics approaches to characterize cell-specific responses to drugs or environmental stimuli and to develop effective patient-specific therapeutics.
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Affiliation(s)
- David T Paik
- Stanford Cardiovascular Institute, Stanford, CA, USA.
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Sangkyun Cho
- Stanford Cardiovascular Institute, Stanford, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Lei Tian
- Stanford Cardiovascular Institute, Stanford, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph C Wu
- Stanford Cardiovascular Institute, Stanford, CA, USA.
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
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Abstract
PURPOSE OF REVIEW Cardiomyocytes are the chief cell type in the heart, and are central to the pathogenesis of many cardiac diseases. Increasing recognition of its cellular, molecular, and functional heterogeneity prompted us to review the latest advancements in cardiac health and disease at single-cell resolution. RECENT FINDINGS Single-cell RNA profiling of cardiac lineage commitment events uncovered immense heterogeneity amongst ostensibly homogeneous cell populations. Classic cardiac transcription factors and new regulatory genes exhibit cell subtype-specific and temporally controlled expression patterns that serve the phenotypic changes in development, disease progression, and regeneration. Dissection of dynamically changing cell-cell communications and cardiac cell plasticity offers new opportunities in disease intervention and cardiac repair. Finally, updates in research models, platforms, and pipelines are continuously increasing the efficiency and reliability in data generation and interpretation. Transcriptional profiling of cardiac lineage cells, especially cardiomyocytes, has tremendously enriched our knowledge of the cellular milieu and the transcriptional network in the heart. Implementing technical standards and interrogating underexplored research areas will further our understanding of this organ and increase the likelihood of finding tractable therapeutic targets.
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Affiliation(s)
- Bingying Zhou
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 North Lishi Road, Beijing, 100037, People's Republic of China
| | - Li Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 North Lishi Road, Beijing, 100037, People's Republic of China.
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Williams R. Circulation Research
“In This Issue” Anthology. Circ Res 2020. [DOI: 10.1161/res.0000000000000406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Abstract
PURPOSE OF REVIEW Emerging single-cell RNA sequencing technologies hold great promises to boost our understanding of the heterogeneity and molecular regulation of diverse cell phenotypes during organ development. In this review, we aimed at summarizing recent advances in employing single-cell transcriptomic analysis to depict the landscape of embryonic heart development, in particular, focusing on cardiac progenitor (CP) differentiation. RECENT FINDINGS Recent studies unbiasedly cataloged and characterized cardiac cell types in the spatial and temporal resolution during early heart development. Pseudo-time analysis revealed a temporal continuum of the differentiation progress from embryonic day (E) 6.5 to E9.5, implicating early cardiac lineage restriction during mouse gastrulation. First and second heart field (FHF and SHF) CPs adopted different differentiation strategies and underwent distinct transcriptional regulation. Collectively, the comprehensive molecular atlases yield a rich resource for identification of the key cardiac regulators and signaling molecules within the key cardiac gene regulatory network (GRN) governing cardiac cell fate determinations. This review offers insights into the exquisite process and its regulation of CP differentiation at single-cell resolution. As single-cell technologies continuously grow and evolve, computational integration of multimodal single-cell data with well-designed experimental validation promises to further delineate molecular basis in deploying cardiac progenitors of distinct sources with anatomical information.
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Visualization of cardiovascular development, physiology and disease at the single-cell level: Opportunities and future challenges. J Mol Cell Cardiol 2020; 142:80-92. [PMID: 32205182 DOI: 10.1016/j.yjmcc.2020.03.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/13/2020] [Accepted: 03/17/2020] [Indexed: 12/18/2022]
Abstract
Single-cell RNA sequencing (scRNA-seq), a method of transcriptome sequencing at the single-cell level, has recently emerged as a revolutionary technology in the field of biomedical research. Compared to conventional gene expression profiling in bulk, scRNA-seq resolves biological differences among individual cells and enables the identification of rare cell populations that are easily overlooked. This review introduces the method of scRNA-seq, summarizes its applications in the field of cardiovascular disease research, and discusses existing limitations and prospects for future applications.
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50
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Chaudhry F, Isherwood J, Bawa T, Patel D, Gurdziel K, Lanfear DE, Ruden DM, Levy PD. Single-Cell RNA Sequencing of the Cardiovascular System: New Looks for Old Diseases. Front Cardiovasc Med 2019; 6:173. [PMID: 31921894 PMCID: PMC6914766 DOI: 10.3389/fcvm.2019.00173] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 11/12/2019] [Indexed: 12/18/2022] Open
Abstract
Cardiovascular disease encompasses a wide range of conditions, resulting in the highest number of deaths worldwide. The underlying pathologies surrounding cardiovascular disease include a vast and complicated network of both cellular and molecular mechanisms. Unique phenotypic alterations in specific cell types, visualized as varying RNA expression-levels (both coding and non-coding), have been identified as crucial factors in the pathology underlying conditions such as heart failure and atherosclerosis. Recent advances in single-cell RNA sequencing (scRNA-seq) have elucidated a new realm of cell subpopulations and transcriptional variations that are associated with normal and pathological physiology in a wide variety of diseases. This breakthrough in the phenotypical understanding of our cells has brought novel insight into cardiovascular basic science. scRNA-seq allows for separation of widely distinct cell subpopulations which were, until recently, simply averaged together with bulk-tissue RNA-seq. scRNA-seq has been used to identify novel cell types in the heart and vasculature that could be implicated in a variety of disease pathologies. Furthermore, scRNA-seq has been able to identify significant heterogeneity of phenotypes within individual cell subtype populations. The ability to characterize single cells based on transcriptional phenotypes allows researchers the ability to map development of cells and identify changes in specific subpopulations due to diseases at a very high throughput. This review looks at recent scRNA-seq studies of various aspects of the cardiovascular system and discusses their potential value to our understanding of the cardiovascular system and pathology.
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Affiliation(s)
- Farhan Chaudhry
- Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, United States
| | - Jenna Isherwood
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, United States
| | - Tejeshwar Bawa
- Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, United States
| | - Dhruvil Patel
- Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, United States
| | - Katherine Gurdziel
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, United States
| | - David E Lanfear
- Heart and Vascular Institute, Henry Ford Health System, Detroit, MI, United States
| | - Douglas M Ruden
- Department of Obstetrics and Gynecology, Center for Urban Responses to Environmental Stressors, Wayne State University, Detroit, MI, United States
| | - Phillip D Levy
- Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, United States
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