1
|
Korb A, Tajbakhsh S, Comai GE. Functional specialisation and coordination of myonuclei. Biol Rev Camb Philos Soc 2024; 99:1164-1195. [PMID: 38477382 DOI: 10.1111/brv.13063] [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: 04/10/2023] [Revised: 01/30/2024] [Accepted: 02/02/2024] [Indexed: 03/14/2024]
Abstract
Myofibres serve as the functional unit for locomotion, with the sarcomere as fundamental subunit. Running the entire length of this structure are hundreds of myonuclei, located at the periphery of the myofibre, juxtaposed to the plasma membrane. Myonuclear specialisation and clustering at the centre and ends of the fibre are known to be essential for muscle contraction, yet the molecular basis of this regionalisation has remained unclear. While the 'myonuclear domain hypothesis' helped explain how myonuclei can independently govern large cytoplasmic territories, novel technologies have provided granularity on the diverse transcriptional programs running simultaneously within the syncytia and added a new perspective on how myonuclei communicate. Building upon this, we explore the critical cellular and molecular sources of transcriptional and functional heterogeneity within myofibres, discussing the impact of intrinsic and extrinsic factors on myonuclear programs. This knowledge provides new insights for understanding muscle development, repair, and disease, but also opens avenues for the development of novel and precise therapeutic approaches.
Collapse
Affiliation(s)
- Amaury Korb
- Institut Pasteur, Université Paris Cité, CNRS UMR 3738, Stem Cells & Development Unit, 25 rue du Dr. Roux, Institut Pasteur, Paris, F-75015, France
| | - Shahragim Tajbakhsh
- Institut Pasteur, Université Paris Cité, CNRS UMR 3738, Stem Cells & Development Unit, 25 rue du Dr. Roux, Institut Pasteur, Paris, F-75015, France
| | - Glenda E Comai
- Institut Pasteur, Université Paris Cité, CNRS UMR 3738, Stem Cells & Development Unit, 25 rue du Dr. Roux, Institut Pasteur, Paris, F-75015, France
| |
Collapse
|
2
|
Steele AP, Syroid AL, Mombo C, Raveetharan S, Rebalka IA, Hawke TJ. Isolation of a persistently quiescent muscle satellite cell population. Am J Physiol Cell Physiol 2024; 327:C415-C422. [PMID: 38912737 DOI: 10.1152/ajpcell.00231.2024] [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: 04/10/2024] [Revised: 06/18/2024] [Accepted: 06/18/2024] [Indexed: 06/25/2024]
Abstract
Although studies have identified characteristics of quiescent satellite cells (SCs), their isolation has been hampered by the fact that the isolation procedures result in the activation of these cells into their rapidly proliferating progeny (myoblasts). Thus, the use of myoblasts for therapeutic (regenerative medicine) or industrial applications (cellular agriculture) has been impeded by the limited proliferative and differentiative capacity of these myogenic progenitors. Here we identify a subpopulation of satellite cells isolated from mouse skeletal muscle using flow cytometry that is highly Pax7-positive, exhibit a very slow proliferation rate (7.7 ± 1.2 days/doubling), and are capable of being maintained in culture for at least 3 mo without a change in phenotype. These cells can be activated from quiescence using a p38 inhibitor or by exposure to freeze-thaw cycles. Once activated, these cells proliferate rapidly (22.7 ± 0.2 h/doubling), have reduced Pax7 expression (threefold decrease in Pax7 fluorescence vs. quiescence), and differentiate into myotubes with a high efficiency. Furthermore, these cells withstand freeze-thawing readily without a significant loss of viability (83.1 ± 2.1% live). The results presented here provide researchers with a method to isolate quiescent satellite cells, allowing for more detailed examinations of the factors affecting satellite cell quiescence/activation and providing a cell source that has a unique potential in the regenerative medicine and cellular agriculture fields.NEW & NOTEWORTHY We provide a method to isolate quiescent satellite cells from skeletal muscle. These cells are highly Pax7-positive, exhibit a very slow proliferation rate, and are capable of being maintained in culture for months without a change in phenotype. The use of these cells by muscle researchers will allow for more detailed examinations of the factors affecting satellite cell quiescence/activation and provide a novel cell source for the regenerative medicine and cellular agriculture fields.
Collapse
Affiliation(s)
- Alexandra P Steele
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Anika L Syroid
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Cassandra Mombo
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Shathana Raveetharan
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Irena A Rebalka
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Thomas J Hawke
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| |
Collapse
|
3
|
Rich J, Bennaroch M, Notel L, Patalakh P, Alberola J, Issa F, Opolon P, Bawa O, Rondof W, Marchais A, Dessen P, Meurice G, Le-Gall M, Polrot M, Ser-Le Roux K, Mamchaoui K, Droin N, Raslova H, Maire P, Geoerger B, Pirozhkova I. DiPRO1 distinctly reprograms muscle and mesenchymal cancer cells. EMBO Mol Med 2024; 16:1840-1885. [PMID: 39009887 PMCID: PMC11319797 DOI: 10.1038/s44321-024-00097-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] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 06/13/2024] [Accepted: 06/18/2024] [Indexed: 07/17/2024] Open
Abstract
We have recently identified the uncharacterized ZNF555 protein as a component of a productive complex involved in the morbid function of the 4qA locus in facioscapulohumeral dystrophy. Subsequently named DiPRO1 (Death, Differentiation, and PROliferation related PROtein 1), our study provides substantial evidence of its role in the differentiation and proliferation of human myoblasts. DiPRO1 operates through the regulatory binding regions of SIX1, a master regulator of myogenesis. Its relevance extends to mesenchymal tumors, such as rhabdomyosarcoma (RMS) and Ewing sarcoma, where DiPRO1 acts as a repressor via the epigenetic regulators TIF1B and UHRF1, maintaining methylation of cis-regulatory elements and gene promoters. Loss of DiPRO1 mimics the host defense response to virus, awakening retrotransposable repeats and the ZNF/KZFP gene family. This enables the eradication of cancer cells, reprogramming the cellular decision balance towards inflammation and/or apoptosis by controlling TNF-α via NF-kappaB signaling. Finally, our results highlight the vulnerability of mesenchymal cancer tumors to si/shDiPRO1-based nanomedicines, positioning DiPRO1 as a potential therapeutic target.
Collapse
Affiliation(s)
- Jeremy Rich
- UMR8126 CNRS, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Melanie Bennaroch
- UMR8126 CNRS, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Laura Notel
- UMR8126 CNRS, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Polina Patalakh
- UMR8126 CNRS, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Julien Alberola
- UMR8126 CNRS, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Fayez Issa
- INSERM U1016, CNRS UMR 8104, Institut Cochin, Université Paris-Cité, Paris, France
| | - Paule Opolon
- Pathology and Cytology Section, UMS AMMICA, CNRS, INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Olivia Bawa
- Pathology and Cytology Section, UMS AMMICA, CNRS, INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Windy Rondof
- Bioinformatics Platform, UMS AMMICA, CNRS, INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer campus, INSERM U1015, Université Paris-Saclay, Villejuif, France
| | - Antonin Marchais
- Bioinformatics Platform, UMS AMMICA, CNRS, INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer campus, INSERM U1015, Université Paris-Saclay, Villejuif, France
| | - Philippe Dessen
- Bioinformatics Platform, UMS AMMICA, CNRS, INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Guillaume Meurice
- Bioinformatics Platform, UMS AMMICA, CNRS, INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Morgane Le-Gall
- Proteom'IC facility, Université Paris Cité, CNRS, INSERM, Institut Cochin, F-75014, Paris, France
| | - Melanie Polrot
- Pre-clinical Evaluation Unit (PFEP), INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Karine Ser-Le Roux
- Pre-clinical Evaluation Unit (PFEP), INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Kamel Mamchaoui
- Sorbonne Université, Inserm, Institut de Myologie, Centre de Recherche en Myologie, F-75013, Paris, France
| | - Nathalie Droin
- Genomic Platform, UMS AMMICA US 23 INSERM UAR 3655 CNRS, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
- UMR1287 INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Hana Raslova
- UMR1287 INSERM, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France
| | - Pascal Maire
- INSERM U1016, CNRS UMR 8104, Institut Cochin, Université Paris-Cité, Paris, France
| | - Birgit Geoerger
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer campus, INSERM U1015, Université Paris-Saclay, Villejuif, France
| | - Iryna Pirozhkova
- UMR8126 CNRS, Gustave Roussy Cancer campus, Université Paris-Saclay, Villejuif, France.
- INSERM U1016, CNRS UMR 8104, Institut Cochin, Université Paris-Cité, Paris, France.
| |
Collapse
|
4
|
Engquist EN, Greco A, Joosten LA, van Engelen BG, Banerji CR, Zammit PS. Transcriptomic gene signatures measure satellite cell activity in muscular dystrophies. iScience 2024; 27:109947. [PMID: 38840844 PMCID: PMC11150970 DOI: 10.1016/j.isci.2024.109947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/20/2024] [Accepted: 05/06/2024] [Indexed: 06/07/2024] Open
Abstract
The routine need for myonuclear turnover in skeletal muscle, together with more sporadic demands for hypertrophy and repair, are performed by resident muscle stem cells called satellite cells. Muscular dystrophies are characterized by muscle wasting, stimulating chronic repair/regeneration by satellite cells. Here, we derived and validated transcriptomic signatures for satellite cells, myoblasts/myocytes, and myonuclei using publicly available murine single cell RNA-Sequencing data. Our signatures distinguished disease from control in transcriptomic data from several muscular dystrophies including facioscapulohumeral muscular dystrophy (FSHD), Duchenne muscular dystrophy, and myotonic dystrophy type I. For FSHD, the expression of our gene signatures correlated with direct counts of satellite cells on muscle sections, as well as with increasing clinical and pathological severity. Thus, our gene signatures enable the investigation of myogenesis in bulk transcriptomic data from muscle biopsies. They also facilitate study of muscle regeneration in transcriptomic data from human muscle across health and disease.
Collapse
Affiliation(s)
- Elise N. Engquist
- King’s College London, Randall Centre for Cell and Molecular Biophysics, New Hunt’s House, Guy’s Campus, London SE1 1UL, UK
| | - Anna Greco
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525 GA, the Netherlands
- Department of Internal Medicine, Radboud Institute of Molecular Life Sciences (RIMLS) and Radboud Center of Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, Nijmegen 6525 GA, The Netherlands
| | - Leo A.B. Joosten
- Department of Internal Medicine, Radboud Institute of Molecular Life Sciences (RIMLS) and Radboud Center of Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, Nijmegen 6525 GA, The Netherlands
- Department of Medical Genetics, Iuliu Hatieganu University if Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Baziel G.M. van Engelen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525 GA, the Netherlands
| | - Christopher R.S. Banerji
- King’s College London, Randall Centre for Cell and Molecular Biophysics, New Hunt’s House, Guy’s Campus, London SE1 1UL, UK
- The Alan Turing Institute, The British Library, 96 Euston Road, London NW1 2DB, UK
- University College London Hospitals, NHS Foundation Trust, London NW1 2BU, UK
| | - Peter S. Zammit
- King’s College London, Randall Centre for Cell and Molecular Biophysics, New Hunt’s House, Guy’s Campus, London SE1 1UL, UK
| |
Collapse
|
5
|
Kedlian VR, Wang Y, Liu T, Chen X, Bolt L, Tudor C, Shen Z, Fasouli ES, Prigmore E, Kleshchevnikov V, Pett JP, Li T, Lawrence JEG, Perera S, Prete M, Huang N, Guo Q, Zeng X, Yang L, Polański K, Chipampe NJ, Dabrowska M, Li X, Bayraktar OA, Patel M, Kumasaka N, Mahbubani KT, Xiang AP, Meyer KB, Saeb-Parsy K, Teichmann SA, Zhang H. Human skeletal muscle aging atlas. NATURE AGING 2024; 4:727-744. [PMID: 38622407 PMCID: PMC11108788 DOI: 10.1038/s43587-024-00613-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/19/2024] [Indexed: 04/17/2024]
Abstract
Skeletal muscle aging is a key contributor to age-related frailty and sarcopenia with substantial implications for global health. Here we profiled 90,902 single cells and 92,259 single nuclei from 17 donors to map the aging process in the adult human intercostal muscle, identifying cellular changes in each muscle compartment. We found that distinct subsets of muscle stem cells exhibit decreased ribosome biogenesis genes and increased CCL2 expression, causing different aging phenotypes. Our atlas also highlights an expansion of nuclei associated with the neuromuscular junction, which may reflect re-innervation, and outlines how the loss of fast-twitch myofibers is mitigated through regeneration and upregulation of fast-type markers in slow-twitch myofibers with age. Furthermore, we document the function of aging muscle microenvironment in immune cell attraction. Overall, we present a comprehensive human skeletal muscle aging resource ( https://www.muscleageingcellatlas.org/ ) together with an in-house mouse muscle atlas to study common features of muscle aging across species.
Collapse
Affiliation(s)
- Veronika R Kedlian
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Tianliang Liu
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xiaoping Chen
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Liam Bolt
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Catherine Tudor
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Zhuojian Shen
- Department of Thoracic Surgery, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Eirini S Fasouli
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Elena Prigmore
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | | | - Jan Patrick Pett
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Tong Li
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - John E G Lawrence
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Shani Perera
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Martin Prete
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ni Huang
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Qin Guo
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xinrui Zeng
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Lu Yang
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Krzysztof Polański
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Nana-Jane Chipampe
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Monika Dabrowska
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Xiaobo Li
- Core Facilities for Medical Science, Sun Yat-sen University, Guangzhou, China
| | - Omer Ali Bayraktar
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Minal Patel
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Natsuhiko Kumasaka
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Krishnaa T Mahbubani
- Department of Surgery, University of Cambridge, Cambridge, UK
- Collaborative Biorepository for Translational Medicine (CBTM), NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - Andy Peng Xiang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Kerstin B Meyer
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kourosh Saeb-Parsy
- Department of Surgery, University of Cambridge, Cambridge, UK.
- Collaborative Biorepository for Translational Medicine (CBTM), NIHR Cambridge Biomedical Research Centre, Cambridge, UK.
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
- Cavendish Laboratory, University of Cambridge, Cambridge, UK.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
| |
Collapse
|
6
|
Nguyen J, Gilbert PM. Decoding the forces that shape muscle stem cell function. Curr Top Dev Biol 2024; 158:279-306. [PMID: 38670710 DOI: 10.1016/bs.ctdb.2024.02.009] [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: 04/28/2024]
Abstract
Skeletal muscle is a force-producing organ composed of muscle tissues, connective tissues, blood vessels, and nerves, all working in synergy to enable movement and provide support to the body. While robust biomechanical descriptions of skeletal muscle force production at the body or tissue level exist, little is known about force application on microstructures within the muscles, such as cells. Among various cell types, skeletal muscle stem cells reside in the muscle tissue environment and play a crucial role in driving the self-repair process when muscle damage occurs. Early evidence indicates that the fate and function of skeletal muscle stem cells are controlled by both biophysical and biochemical factors in their microenvironments, but much remains to accomplish in quantitatively describing the biophysical muscle stem cell microenvironment. This book chapter aims to review current knowledge on the influence of biophysical stresses and landscape properties on muscle stem cells in heath, aging, and diseases.
Collapse
Affiliation(s)
- Jo Nguyen
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada; Donnelly Centre, University of Toronto, Toronto, ON, Canada
| | - Penney M Gilbert
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada; Donnelly Centre, University of Toronto, Toronto, ON, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
7
|
Robertson R, Li S, Filippelli RL, Chang NC. Muscle stem cell dysfunction in rhabdomyosarcoma and muscular dystrophy. Curr Top Dev Biol 2024; 158:83-121. [PMID: 38670717 DOI: 10.1016/bs.ctdb.2024.01.019] [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: 04/28/2024]
Abstract
Muscle stem cells (MuSCs) are crucial to the repair and homeostasis of mature skeletal muscle. MuSC dysfunction and dysregulation of the myogenic program can contribute to the development of pathology ranging from cancers like rhabdomyosarcoma (RMS) or muscle degenerative diseases such as Duchenne muscular dystrophy (DMD). Both diseases exhibit dysregulation at nearly all steps of myogenesis. For instance, MuSC self-renewal processes are altered. In RMS, this leads to the creation of tumor propagating cells. In DMD, impaired asymmetric stem cell division creates a bias towards producing self-renewing stem cells instead of committing to differentiation. Hyperproliferation of these cells contribute to tumorigenesis in RMS and symmetric expansion of the self-renewing MuSC population in DMD. Both diseases also exhibit a repression of factors involved in terminal differentiation, halting RMS cells in the proliferative stage and thus driving tumor growth. Conversely, the MuSCs in DMD exhibit impaired differentiation and fuse prematurely, affecting myonuclei maturation and the integrity of the dystrophic muscle fiber. Finally, both disease states cause alterations to the MuSC niche. Various elements of the niche such as inflammatory and migratory signaling that impact MuSC behavior are dysregulated. Here we show how these seemingly distantly related diseases indeed have similarities in MuSC dysfunction, underlying the importance of considering MuSCs when studying the pathophysiology of muscle diseases.
Collapse
Affiliation(s)
- Rebecca Robertson
- Department of Biochemistry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada
| | - Shulei Li
- Department of Biochemistry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada; Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC, Canada
| | - Romina L Filippelli
- Department of Biochemistry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada
| | - Natasha C Chang
- Department of Biochemistry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada; Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC, Canada.
| |
Collapse
|
8
|
Guilhot C, Catenacci M, Lofaro S, Rudnicki MA. The satellite cell in skeletal muscle: A story of heterogeneity. Curr Top Dev Biol 2024; 158:15-51. [PMID: 38670703 DOI: 10.1016/bs.ctdb.2024.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Skeletal muscle is a highly represented tissue in mammals and is composed of fibers that are extremely adaptable and capable of regeneration. This characteristic of muscle fibers is made possible by a cell type called satellite cells. Adjacent to the fibers, satellite cells are found in a quiescent state and located between the muscle fibers membrane and the basal lamina. These cells are required for the growth and regeneration of skeletal muscle through myogenesis. This process is known to be tightly sequenced from the activation to the differentiation/fusion of myofibers. However, for the past fifteen years, researchers have been interested in examining satellite cell heterogeneity and have identified different subpopulations displaying distinct characteristics based on localization, quiescence state, stemness capacity, cell-cycle progression or gene expression. A small subset of satellite cells appears to represent multipotent long-term self-renewing muscle stem cells (MuSC). All these distinctions led us to the hypothesis that the characteristics of myogenesis might not be linear and therefore may be more permissive based on the evidence that satellite cells are a heterogeneous population. In this review, we discuss the different subpopulations that exist within the satellite cell pool to highlight the heterogeneity and to gain further understanding of the myogenesis progress. Finally, we discuss the long term self-renewing MuSC subpopulation that is capable of dividing asymmetrically and discuss the molecular mechanisms regulating MuSC polarization during health and disease.
Collapse
Affiliation(s)
- Corentin Guilhot
- The Sprott Centre for Stem Cell Research, Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Marie Catenacci
- The Sprott Centre for Stem Cell Research, Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Stephanie Lofaro
- The Sprott Centre for Stem Cell Research, Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Michael A Rudnicki
- The Sprott Centre for Stem Cell Research, Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
| |
Collapse
|
9
|
Girolamo DD, Benavente-Diaz M, Murolo M, Grimaldi A, Lopes PT, Evano B, Kuriki M, Gioftsidi S, Laville V, Tinevez JY, Letort G, Mella S, Tajbakhsh S, Comai G. Extraocular muscle stem cells exhibit distinct cellular properties associated with non-muscle molecular signatures. Development 2024; 151:dev202144. [PMID: 38240380 DOI: 10.1242/dev.202144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 12/27/2023] [Indexed: 02/22/2024]
Abstract
Skeletal muscle stem cells (MuSCs) are recognised as functionally heterogeneous. Cranial MuSCs are reported to have greater proliferative and regenerative capacity when compared with those in the limb. A comprehensive understanding of the mechanisms underlying this functional heterogeneity is lacking. Here, we have used clonal analysis, live imaging and single cell transcriptomic analysis to identify crucial features that distinguish extraocular muscle (EOM) from limb muscle stem cell populations. A MyogeninntdTom reporter showed that the increased proliferation capacity of EOM MuSCs correlates with deferred differentiation and lower expression of the myogenic commitment gene Myod. Unexpectedly, EOM MuSCs activated in vitro expressed a large array of extracellular matrix components typical of mesenchymal non-muscle cells. Computational analysis underscored a distinct co-regulatory module, which is absent in limb MuSCs, as driver of these features. The EOM transcription factor network, with Foxc1 as key player, appears to be hardwired to EOM identity as it persists during growth, disease and in vitro after several passages. Our findings shed light on how high-performing MuSCs regulate myogenic commitment by remodelling their local environment and adopting properties not generally associated with myogenic cells.
Collapse
Affiliation(s)
- Daniela Di Girolamo
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
| | - Maria Benavente-Diaz
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
- Sorbonne Universités, Complexité du Vivant, F-75005 Paris, France
| | - Melania Murolo
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
| | - Alexandre Grimaldi
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
- Sorbonne Universités, Complexité du Vivant, F-75005 Paris, France
| | - Priscilla Thomas Lopes
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
| | - Brendan Evano
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
| | - Mao Kuriki
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
| | - Stamatia Gioftsidi
- Université Paris-Est, 77420 Champs-sur- Marne, France
- Freie Universität Berlin, 14195 Berlin, Germany
- Inserm, IMRB U955-E10, 94000 Créteil, France
| | - Vincent Laville
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, F-75015 Paris, France
| | - Jean-Yves Tinevez
- Institut Pasteur, Université Paris Cité, Image Analysis Hub, 75015 Paris, France
| | - Gaëlle Letort
- Department of Developmental and Stem Cell Biology, Institut Pasteur, Université de Paris Cité, CNRS UMR 3738, 25 rue du Dr Roux, 75015 Paris, France
| | - Sebastian Mella
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, F-75015 Paris, France
| | - Shahragim Tajbakhsh
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
| | - Glenda Comai
- Stem Cells and Development Unit, 25 rue du Dr Roux, Institut Pasteur, 75015 Paris, France
- UMR CNRS 3738, Institut Pasteur, Paris, France
| |
Collapse
|
10
|
Bedi A, Bishop J, Keener J, Lansdown DA, Levy O, MacDonald P, Maffulli N, Oh JH, Sabesan VJ, Sanchez-Sotelo J, Williams RJ, Feeley BT. Rotator cuff tears. Nat Rev Dis Primers 2024; 10:8. [PMID: 38332156 DOI: 10.1038/s41572-024-00492-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/08/2024] [Indexed: 02/10/2024]
Abstract
Rotator cuff tears are the most common upper extremity condition seen by primary care and orthopaedic surgeons, with a spectrum ranging from tendinopathy to full-thickness tears with arthritic change. Some tears are traumatic, but most rotator cuff problems are degenerative. Not all tears are symptomatic and not all progress, and many patients in whom tears become more extensive do not experience symptom worsening. Hence, a standard algorithm for managing patients is challenging. The pathophysiology of rotator cuff tears is complex and encompasses an interplay between the tendon, bone and muscle. Rotator cuff tears begin as degenerative changes within the tendon, with matrix disorganization and inflammatory changes. Subsequently, tears progress to partial-thickness and then full-thickness tears. Muscle quality, as evidenced by the overall size of the muscle and intramuscular fatty infiltration, also influences symptoms, tear progression and the outcomes of surgery. Treatment depends primarily on symptoms, with non-operative management sufficient for most patients with rotator cuff problems. Modern arthroscopic repair techniques have improved recovery, but outcomes are still limited by a lack of understanding of how to improve tendon to bone healing in many patients.
Collapse
Affiliation(s)
- Asheesh Bedi
- Department of Orthopedic Surgery, University of Chicago, Chicago, IL, USA
- NorthShore Health System, Chicago, IL, USA
| | - Julie Bishop
- Department of Orthopedic Surgery, The Ohio State Wexner Medical Center, Columbus, OH, USA
| | - Jay Keener
- Department of Orthopedic Surgery, Washington University, St. Louis, MO, USA
| | - Drew A Lansdown
- Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Ofer Levy
- Reading Shoulder Unit, Berkshire Independent Hospital, Reading, UK
| | - Peter MacDonald
- Department of Surgery, Max Rady College of Medicine, Winnipeg, Manitoba, Canada
| | - Nicola Maffulli
- Department of Trauma and Orthopaedic Surgery, Faculty of Medicine and Psychology, University of Rome Sapienza, Rome, Italy
| | - Joo Han Oh
- Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, Korea
| | - Vani J Sabesan
- HCA Florida JFK Orthopaedic Surgery Residency Program, Atlantis Orthopedics, Atlantis, FL, USA
| | | | - Riley J Williams
- Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA
| | - Brian T Feeley
- Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA, USA.
| |
Collapse
|
11
|
Chi HM, Davies MR, Garcia SM, Montenegro C, Sharma S, Lizarraga M, Wang Z, Nuthalapati P, Kim HT, Liu X, Feeley BT. Defining Endogenous Mitochondrial Transfer in Muscle After Rotator Cuff Injury. Am J Sports Med 2024; 52:451-460. [PMID: 38174367 DOI: 10.1177/03635465231214225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
BACKGROUND Rotator cuff muscle degeneration leads to poor clinical outcomes for patients with rotator cuff tears. Fibroadipogenic progenitors (FAPs) are resident muscle stem cells with the ability to differentiate into fibroblasts as well as white and beige adipose tissue. Induction of the beige adipose phenotype in FAPs has been shown to improve muscle quality after rotator cuff tears, but the mechanisms of how FAPs exert their beneficial effects have not been fully elucidated. PURPOSE To study the horizontal transfer of mitochondria from FAPs to myogenic cells and examine the effects of β-agonism on this novel process. STUDY DESIGN Controlled laboratory study. METHODS In mice that had undergone a massive rotator cuff tear, single-cell RNA sequencing was performed on isolated FAPs for genes associated with mitochondrial biogenesis and transfer. Murine FAPs were isolated by fluorescence-activated cell sorting and treated with a β-agonist versus control. FAPs were stained with mitochondrial dyes and cocultured with recipient C2C12 myoblasts, and the rate of transfer was measured after 24 hours by flow cytometry. PdgfraCreERT/MitoTag mice were generated to study the effects of a rotator cuff injury on mitochondrial transfer. PdgfraCreERT/tdTomato mice were likewise generated to perform lineage tracing of PDGFRA+ cells in this injury model. Both populations of transgenic mice underwent tendon transection and denervation surgery, and MitoTag-labeled mitochondria from Pdgfra+ FAPs were visualized by fluorescent microscopy, spinning disk confocal microscopy, and 2-photon microscopy; overall mitochondrial quantity was compared between mice treated with β-agonists and dimethyl sulfoxide. RESULTS Single-cell RNA sequencing in mice that underwent rotator cuff tear demonstrated an association between transcriptional markers of adipogenic differentiation and genes associated with mitochondrial biogenesis. In vitro cocultures of murine FAPs with C2C12 cells revealed that treatment of cells with a β-agonist increased mitochondrial transfer compared to control conditions (17.8% ± 9.9% to 99.6% ± 0.13% P < .0001). Rotator cuff injury in PdgfraCreERT/MitoTag mice resulted in a robust increase in MitoTag signal in adjacent myofibers compared with uninjured mice. No accumulation of tdTomato signal from PDGFRA+ cells was seen in injured fibers at 6 weeks after injury, suggesting that FAPs do not fuse with injured muscle fibers but rather contribute their mitochondria. CONCLUSION The authors have described a novel process of endogenous mitochondrial transfer that can occur within the injured rotator cuff between FAPs and myogenic cells. This process may be leveraged therapeutically with β-agonist treatment and represents an exciting target for improving translational therapies available for rotator cuff muscle degeneration. CLINICAL RELEVANCE Promoting endogenous mitochondrial transfer may represent a novel translational strategy to address muscle degeneration after rotator cuff tears.
Collapse
Affiliation(s)
- Hannah M Chi
- School of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Michael R Davies
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
| | - Steven M Garcia
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
| | - Cristhian Montenegro
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
- San Francisco Veteran Affairs Health Care System, San Francisco, California, USA
| | - Sankalp Sharma
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
- San Francisco Veteran Affairs Health Care System, San Francisco, California, USA
| | - Miguel Lizarraga
- School of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Zili Wang
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
- San Francisco Veteran Affairs Health Care System, San Francisco, California, USA
| | - Prashant Nuthalapati
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
- San Francisco Veteran Affairs Health Care System, San Francisco, California, USA
| | - Hubert T Kim
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
- San Francisco Veteran Affairs Health Care System, San Francisco, California, USA
| | - Xuhui Liu
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
- San Francisco Veteran Affairs Health Care System, San Francisco, California, USA
| | - Brian T Feeley
- Department of Orthopaedic Surgery, University of California, San Francisco, California, USA
- San Francisco Veteran Affairs Health Care System, San Francisco, California, USA
| |
Collapse
|
12
|
Jiang H, Liu B, Lin J, Xue T, Han Y, Lu C, Zhou S, Gu Y, Xu F, Shen Y, Xu L, Sun H. MuSCs and IPCs: roles in skeletal muscle homeostasis, aging and injury. Cell Mol Life Sci 2024; 81:67. [PMID: 38289345 PMCID: PMC10828015 DOI: 10.1007/s00018-023-05096-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/01/2023] [Accepted: 12/17/2023] [Indexed: 02/01/2024]
Abstract
Skeletal muscle is a highly specialized tissue composed of myofibres that performs crucial functions in movement and metabolism. In response to external stimuli and injuries, a range of stem/progenitor cells, with muscle stem cells or satellite cells (MuSCs) being the predominant cell type, are rapidly activated to repair and regenerate skeletal muscle within weeks. Under normal conditions, MuSCs remain in a quiescent state, but become proliferative and differentiate into new myofibres in response to injury. In addition to MuSCs, some interstitial progenitor cells (IPCs) such as fibro-adipogenic progenitors (FAPs), pericytes, interstitial stem cells expressing PW1 and negative for Pax7 (PICs), muscle side population cells (SPCs), CD133-positive cells and Twist2-positive cells have been identified as playing direct or indirect roles in regenerating muscle tissue. Here, we highlight the heterogeneity, molecular markers, and functional properties of these interstitial progenitor cells, and explore the role of muscle stem/progenitor cells in skeletal muscle homeostasis, aging, and muscle-related diseases. This review provides critical insights for future stem cell therapies aimed at treating muscle-related diseases.
Collapse
Affiliation(s)
- Haiyan Jiang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
- Department of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Boya Liu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Junfei Lin
- Department of Orthopedics, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Tong Xue
- Department of Paediatrics, Medical School of Nantong University, Nantong University, Nantong, 226001, People's Republic of China
| | - Yimin Han
- Department of Paediatrics, Medical School of Nantong University, Nantong University, Nantong, 226001, People's Republic of China
| | - Chunfeng Lu
- Department of Endocrinology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, Jiangsu, People's Republic of China
| | - Songlin Zhou
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Yun Gu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Feng Xu
- Department of Endocrinology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, Jiangsu, People's Republic of China
| | - Yuntian Shen
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China.
| | - Lingchi Xu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China.
| | - Hualin Sun
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China.
| |
Collapse
|
13
|
Garcia SM, Lau J, Diaz A, Chi H, Lizarraga M, Wague A, Montenegro C, Davies MR, Liu X, Feeley BT. Distinct human stem cell subpopulations drive adipogenesis and fibrosis in musculoskeletal injury. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.07.28.551038. [PMID: 38260367 PMCID: PMC10802239 DOI: 10.1101/2023.07.28.551038] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Fibroadipogenic progenitors (FAPs) maintain healthy skeletal muscle in homeostasis but drive muscle degeneration in chronic injuries by promoting adipogenesis and fibrosis. To uncover how these stem cells switch from a pro-regenerative to pro-degenerative role we perform single-cell mRNA sequencing of human FAPs from healthy and injured human muscles across a spectrum of injury, focusing on rotator cuff tears. We identify multiple subpopulations with progenitor, adipogenic, or fibrogenic gene signatures. We utilize full spectrum flow cytometry to identify distinct FAP subpopulations based on highly multiplexed protein expression. Injury severity increases adipogenic commitment of FAP subpopulations and is driven by the downregulation of DLK1. Treatment of FAPs both in vitro and in vivo with DLK1 reduces adipogenesis and fatty infiltration, suggesting that during injury, reduced DLK1 within a subpopulation of FAPs may drive degeneration. This work highlights how stem cells perform varied functions depending on tissue context, by dynamically regulating subpopulation fate commitment, which can be targeted improve patient outcomes after injury.
Collapse
|
14
|
Savary C, Luciana L, Huchedé P, Tourbez A, Coquet C, Broustal M, Lopez Gonzalez A, Deligne C, Diot T, Naret O, Costa M, Meynard N, Barbet V, Müller K, Tonon L, Gadot N, Degletagne C, Attignon V, Léon S, Vanbelle C, Bomane A, Rochet I, Mournetas V, Oliveira L, Rinaudo P, Bergeron C, Dutour A, Cordier-Bussat M, Roch A, Brandenberg N, El Zein S, Watson S, Orbach D, Delattre O, Dijoud F, Corradini N, Picard C, Maucort-Boulch D, Le Grand M, Pasquier E, Blay JY, Castets M, Broutier L. Fusion-negative rhabdomyosarcoma 3D organoids to predict effective drug combinations: A proof-of-concept on cell death inducers. Cell Rep Med 2023; 4:101339. [PMID: 38118405 PMCID: PMC10772578 DOI: 10.1016/j.xcrm.2023.101339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 09/29/2023] [Accepted: 11/22/2023] [Indexed: 12/22/2023]
Abstract
Rhabdomyosarcoma (RMS) is the main form of pediatric soft-tissue sarcoma. Its cure rate has not notably improved in the last 20 years following relapse, and the lack of reliable preclinical models has hampered the design of new therapies. This is particularly true for highly heterogeneous fusion-negative RMS (FNRMS). Although methods have been proposed to establish FNRMS organoids, their efficiency remains limited to date, both in terms of derivation rate and ability to accurately mimic the original tumor. Here, we present the development of a next-generation 3D organoid model derived from relapsed adult and pediatric FNRMS. This model preserves the molecular features of the patients' tumors and is expandable for several months in 3D, reinforcing its interest to drug combination screening with longitudinal efficacy monitoring. As a proof-of-concept, we demonstrate its preclinical relevance by reevaluating the therapeutic opportunities of targeting apoptosis in FNRMS from a streamlined approach based on transcriptomic data exploitation.
Collapse
Affiliation(s)
- Clara Savary
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Léa Luciana
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Paul Huchedé
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Arthur Tourbez
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Claire Coquet
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Maëlle Broustal
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Alejandro Lopez Gonzalez
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Clémence Deligne
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Thomas Diot
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Olivier Naret
- DOPPL, EPFL Innovation Park, Building L, Ch. de la Dent d'Oche 1, 1024 Ecublens, Switzerland
| | - Mariana Costa
- DOPPL, EPFL Innovation Park, Building L, Ch. de la Dent d'Oche 1, 1024 Ecublens, Switzerland
| | - Nina Meynard
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Virginie Barbet
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Kevin Müller
- Université Aix-Marseille, CNRS 7258, INSERM 1068, Institute Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), 13009 Marseille, France
| | - Laurie Tonon
- Synergie Lyon Cancer, Gilles Thomas' Bioinformatics Platform, Centre Léon Bérard, 69008 Lyon, France
| | - Nicolas Gadot
- Anatomopathology Research Platform, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Cyril Degletagne
- Cancer Genomics Platform, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Valéry Attignon
- Cancer Genomics Platform, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Sophie Léon
- EX-VIVO Platform, Centre de recherche en cancérologie de Lyon (CRCL), Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Christophe Vanbelle
- Plateforme d'Imagerie cellulaire, Centre de recherche en cancérologie de Lyon (CRCL), Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Alexandra Bomane
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Isabelle Rochet
- Multisite Institute of Pathology, Groupement Hospitalier Est du CHU de Lyon, Hôpital Femme-Mère-Enfant, 69677 Bron, France; Department of Pediatric Oncology, Institut d'Hématologie et d'Oncologie Pédiatrique, Centre Léon Bérard, 69008 Lyon, France
| | | | | | | | - Christophe Bergeron
- Department of Pediatric Oncology, Institut d'Hématologie et d'Oncologie Pédiatrique, Centre Léon Bérard, 69008 Lyon, France
| | - Aurélie Dutour
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Martine Cordier-Bussat
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France
| | - Aline Roch
- DOPPL, EPFL Innovation Park, Building L, Ch. de la Dent d'Oche 1, 1024 Ecublens, Switzerland
| | - Nathalie Brandenberg
- DOPPL, EPFL Innovation Park, Building L, Ch. de la Dent d'Oche 1, 1024 Ecublens, Switzerland
| | - Sophie El Zein
- Department of Biopathology, Institut Curie, Paris, France
| | - Sarah Watson
- SIREDO Oncology Center (Care, Innovation and Research for Children and AYA with Cancer), Institut Curie, PSL Research University, Paris, France; INSERM U830, Diversity and Plasticity of Childhood Tumors Lab, Institut Curie, PSL Research University, Paris, France; Medical Oncology Department, Institut Curie, PSL Research University, Paris, France
| | - Daniel Orbach
- SIREDO Oncology Center (Care, Innovation and Research for Children and AYA with Cancer), Institut Curie, PSL Research University, Paris, France
| | - Olivier Delattre
- SIREDO Oncology Center (Care, Innovation and Research for Children and AYA with Cancer), Institut Curie, PSL Research University, Paris, France; INSERM U830, Diversity and Plasticity of Childhood Tumors Lab, Institut Curie, PSL Research University, Paris, France
| | - Frédérique Dijoud
- Multisite Institute of Pathology, Groupement Hospitalier Est du CHU de Lyon, Hôpital Femme-Mère-Enfant, 69677 Bron, France
| | - Nadège Corradini
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France; Department of Pediatric Oncology, Institut d'Hématologie et d'Oncologie Pédiatrique, Centre Léon Bérard, 69008 Lyon, France; Department of Translational Research in Pediatric Oncology PROSPECT, Centre Léon Bérard, 69008 Lyon, France
| | - Cécile Picard
- Multisite Institute of Pathology, Groupement Hospitalier Est du CHU de Lyon, Hôpital Femme-Mère-Enfant, 69677 Bron, France
| | - Delphine Maucort-Boulch
- Université Lyon 1, 69100 Villeurbanne, France; Hospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique et Bioinformatique, 69003 Lyon, France; CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, 69100 Villeurbanne, France
| | - Marion Le Grand
- Université Aix-Marseille, CNRS 7258, INSERM 1068, Institute Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), 13009 Marseille, France
| | - Eddy Pasquier
- Université Aix-Marseille, CNRS 7258, INSERM 1068, Institute Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), 13009 Marseille, France
| | - Jean-Yves Blay
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France; Department of Translational Research in Pediatric Oncology PROSPECT, Centre Léon Bérard, 69008 Lyon, France
| | - Marie Castets
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France; Department of Translational Research in Pediatric Oncology PROSPECT, Centre Léon Bérard, 69008 Lyon, France.
| | - Laura Broutier
- Childhood Cancer & Cell Death Team (C3 Team), LabEx DEVweCAN, Institut Convergence Plascan, Centre de Recherche en Cancérologie de Lyon (CRCL), Centre Léon Bérard, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, 69008 Lyon, France; Department of Translational Research in Pediatric Oncology PROSPECT, Centre Léon Bérard, 69008 Lyon, France.
| |
Collapse
|
15
|
Xu D, Wan B, Qiu K, Wang Y, Zhang X, Jiao N, Yan E, Wu J, Yu R, Gao S, Du M, Liu C, Li M, Fan G, Yin J. Single-Cell RNA-Sequencing Provides Insight into Skeletal Muscle Evolution during the Selection of Muscle Characteristics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2305080. [PMID: 37870215 PMCID: PMC10724408 DOI: 10.1002/advs.202305080] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/27/2023] [Indexed: 10/24/2023]
Abstract
Skeletal muscle comprises a large, heterogeneous assortment of cell populations that interact to maintain muscle homeostasis, but little is known about the mechanism that controls myogenic development in response to artificial selection. Different pig (Sus scrofa) breeds exhibit distinct muscle phenotypes resulting from domestication and selective breeding. Using unbiased single-cell transcriptomic sequencing analysis (scRNA-seq), the impact of artificial selection on cell profiles is investigated in neonatal skeletal muscle of pigs. This work provides panoramic muscle-resident cell profiles and identifies novel and breed-specific cells, mapping them on pseudotime trajectories. Artificial selection has elicited significant changes in muscle-resident cell profiles, while conserving signs of generational environmental challenges. These results suggest that fibro-adipogenic progenitors serve as a cellular interaction hub and that specific transcription factors identified here may serve as candidate target regulons for the pursuit of a specific muscle phenotype. Furthermore, a cross-species comparison of humans, mice, and pigs illustrates the conservation and divergence of mammalian muscle ontology. The findings of this study reveal shifts in cellular heterogeneity, novel cell subpopulations, and their interactions that may greatly facilitate the understanding of the mechanism underlying divergent muscle phenotypes arising from artificial selection.
Collapse
Affiliation(s)
- Doudou Xu
- State Key Laboratory of Animal Nutrition and feedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
| | - Boyang Wan
- State Key Laboratory of Animal Nutrition and feedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
| | - Kai Qiu
- State Key Laboratory of Animal Nutrition and feedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
| | - Yubo Wang
- State Key Laboratory of Animal Nutrition and feedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
| | - Xin Zhang
- State Key Laboratory of Animal Nutrition and feedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
- Molecular Design Breeding Frontier Science Center of the Ministry of EducationBeijingChina
| | - Ning Jiao
- State Key Laboratory of Animal Nutrition and feedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
| | - Enfa Yan
- State Key Laboratory of Animal Nutrition and feedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
| | - Jiangwei Wu
- Key Laboratory of Animal GeneticsBreeding and Reproduction of Shaanxi ProvinceCollege of Animal Science and TechnologyNorthwest A&F UniversityYangling712100China
| | - Run Yu
- Beijing National Day SchoolBeijing100039China
| | - Shuai Gao
- Key Laboratory of Animal GeneticsCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
| | - Min Du
- Nutrigenomics and Growth Biology LaboratoryDepartment of Animal Sciences and School of Molecular BioscienceWashington State UniversityPullmanWA99164USA
| | | | - Mingzhou Li
- Institute of Animal Genetics and BreedingCollege of Animal Science and TechnologySichuan Agricultural UniversityChengdu625014China
| | - Guoping Fan
- Department of Human GeneticsDavid Geffen School of MedicineUniversity of California Los AngelesLos AngelesCA90095USA
| | - Jingdong Yin
- State Key Laboratory of Animal Nutrition and feedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing100193China
- Molecular Design Breeding Frontier Science Center of the Ministry of EducationBeijingChina
| |
Collapse
|
16
|
Burke BI, Goh J, Albathi FA, Valentino TR, Nolt GL, Joshi JK, Dungan CM, Johnson LA, Wen Y, Ismaeel A, McCarthy JJ. ApoE isoform does not influence skeletal muscle regeneration in adult mice. Front Physiol 2023; 14:1302695. [PMID: 38074327 PMCID: PMC10702509 DOI: 10.3389/fphys.2023.1302695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 11/10/2023] [Indexed: 02/12/2024] Open
Abstract
Introduction: Apolipoprotein E (ApoE) has been shown to be necessary for proper skeletal muscle regeneration. Consistent with this finding, single-cell RNA-sequencing analyses of skeletal muscle stem cells (MuSCs) revealed that Apoe is a top marker of quiescent MuSCs that is downregulated upon activation. The purpose of this study was to determine if muscle regeneration is altered in mice which harbor one of the three common human ApoE isoforms, referred to as ApoE2, E3 and E4. Methods: Histomorphometric analyses were employed to assess muscle regeneration in ApoE2, E3, and E4 mice after 14 days of recovery from barium chloride-induced muscle damage in vivo, and primary MuSCs were isolated to assess proliferation and differentiation of ApoE2, E3, and E4 MuSCs in vitro. Results: There was no difference in the basal skeletal muscle phenotype of ApoE isoforms as evaluated by section area, myofiber cross-sectional area (CSA), and myonuclear and MuSC abundance per fiber. Although there were no differences in fiber-type frequency in the soleus, Type IIa relative frequency was significantly lower in plantaris muscles of ApoE4 mice compared to ApoE3. Moreover, ApoE isoform did not influence muscle regeneration as assessed by fiber frequency, fiber CSA, and myonuclear and MuSC abundance. Finally, there were no differences in the proliferative capacity or myogenic differentiation potential of MuSCs between any ApoE isoform. Discussion: Collectively, these data indicate nominal effects of ApoE isoform on the ability of skeletal muscle to regenerate following injury or the in vitro MuSC phenotype.
Collapse
Affiliation(s)
- Benjamin I. Burke
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Center for Muscle Biology, University of Kentucky, Lexington, KY, United States
| | - Jensen Goh
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Center for Muscle Biology, University of Kentucky, Lexington, KY, United States
| | - Fatmah A. Albathi
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Center for Muscle Biology, University of Kentucky, Lexington, KY, United States
| | | | - Georgia L. Nolt
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States
| | - Jai K. Joshi
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Center for Muscle Biology, University of Kentucky, Lexington, KY, United States
| | - Cory M. Dungan
- Department of Health, Human Performance, and Recreation, Robbins College of Health and Human Sciences, Baylor University, Waco, TX, United States
| | - Lance A. Johnson
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States
| | - Yuan Wen
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Center for Muscle Biology, University of Kentucky, Lexington, KY, United States
- Division of Biomedical Informatics, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Ahmed Ismaeel
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Center for Muscle Biology, University of Kentucky, Lexington, KY, United States
| | - John J. McCarthy
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Center for Muscle Biology, University of Kentucky, Lexington, KY, United States
| |
Collapse
|
17
|
Mavrommatis L, Jeong HW, Kindler U, Gomez-Giro G, Kienitz MC, Stehling M, Psathaki OE, Zeuschner D, Bixel MG, Han D, Morosan-Puopolo G, Gerovska D, Yang JH, Kim JB, Arauzo-Bravo MJ, Schwamborn JC, Hahn SA, Adams RH, Schöler HR, Vorgerd M, Brand-Saberi B, Zaehres H. Human skeletal muscle organoids model fetal myogenesis and sustain uncommitted PAX7 myogenic progenitors. eLife 2023; 12:RP87081. [PMID: 37963071 PMCID: PMC10645425 DOI: 10.7554/elife.87081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023] Open
Abstract
In vitro culture systems that structurally model human myogenesis and promote PAX7+ myogenic progenitor maturation have not been established. Here we report that human skeletal muscle organoids can be differentiated from induced pluripotent stem cell lines to contain paraxial mesoderm and neuromesodermal progenitors and develop into organized structures reassembling neural plate border and dermomyotome. Culture conditions instigate neural lineage arrest and promote fetal hypaxial myogenesis toward limb axial anatomical identity, with generation of sustainable uncommitted PAX7 myogenic progenitors and fibroadipogenic (PDGFRa+) progenitor populations equivalent to those from the second trimester of human gestation. Single-cell comparison to human fetal and adult myogenic progenitor /satellite cells reveals distinct molecular signatures for non-dividing myogenic progenitors in activated (CD44High/CD98+/MYOD1+) and dormant (PAX7High/FBN1High/SPRY1High) states. Our approach provides a robust 3D in vitro developmental system for investigating muscle tissue morphogenesis and homeostasis.
Collapse
Affiliation(s)
- Lampros Mavrommatis
- Ruhr University Bochum, Medical Faculty, Institute of Anatomy, Department of Anatomy and Molecular EmbryologyBochumGermany
- Max Planck Institute for Molecular Biomedicine, Department of Cell and Developmental BiologyMünsterGermany
- Department of Neurology with Heimer Institute for Muscle Research, University Hospital BergmannsheilBochumGermany
| | - Hyun-Woo Jeong
- Max Planck Institute for Molecular Biomedicine, Sequencing Core FacilityMünsterGermany
| | - Urs Kindler
- Ruhr University Bochum, Medical Faculty, Institute of Anatomy, Department of Anatomy and Molecular EmbryologyBochumGermany
| | - Gemma Gomez-Giro
- Luxembourg Centre for Systems Biomedicine, LCSB, Developmental and Cellular Biology, University of LuxembourgBelvauxLuxembourg
| | - Marie-Cecile Kienitz
- Ruhr University Bochum, Medical Faculty, Department of Cellular PhysiologyBochumGermany
| | - Martin Stehling
- Max Planck Institute for Molecular Biomedicine, Flow Cytometry UnitMünsterGermany
| | - Olympia E Psathaki
- Max Planck Institute for Molecular Biomedicine, Department of Cell and Developmental BiologyMünsterGermany
- Center for Cellular Nanoanalytics Osnabrück, CellNanOs, University of OsnabrückOsnabrückGermany
| | - Dagmar Zeuschner
- Max Planck Institute for Molecular Biomedicine, Electron Microscopy UnitMünsterGermany
| | - M Gabriele Bixel
- Max Planck Institute for Molecular Biomedicine, Department of Tissue MorphogenesisMünsterGermany
| | - Dong Han
- Max Planck Institute for Molecular Biomedicine, Department of Cell and Developmental BiologyMünsterGermany
| | - Gabriela Morosan-Puopolo
- Ruhr University Bochum, Medical Faculty, Institute of Anatomy, Department of Anatomy and Molecular EmbryologyBochumGermany
| | - Daniela Gerovska
- Computational Biology and Systems Biomedicine, Biodonostia Health Research InstituteSan SebastiánSpain
| | - Ji Hun Yang
- School of Mechanical Engineering, Korea UniversitySeoulRepublic of Korea
- R&D Research Center, Next & Bio IncSeoulRepublic of Korea
| | - Jeong Beom Kim
- School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST)UlsanRepublic of Korea
| | - Marcos J Arauzo-Bravo
- Computational Biology and Systems Biomedicine, Biodonostia Health Research InstituteSan SebastiánSpain
| | - Jens C Schwamborn
- Luxembourg Centre for Systems Biomedicine, LCSB, Developmental and Cellular Biology, University of LuxembourgBelvauxLuxembourg
| | - Stephan A Hahn
- Ruhr University Bochum, Medical Faculty, Department of Molecular GI OncologyBochumGermany
| | - Ralf H Adams
- Max Planck Institute for Molecular Biomedicine, Department of Tissue MorphogenesisMünsterGermany
- Westphalian Wilhelms University Münster, Medical FacultyMünsterGermany
| | - Hans R Schöler
- Max Planck Institute for Molecular Biomedicine, Department of Cell and Developmental BiologyMünsterGermany
| | - Matthias Vorgerd
- Department of Neurology with Heimer Institute for Muscle Research, University Hospital BergmannsheilBochumGermany
| | - Beate Brand-Saberi
- Ruhr University Bochum, Medical Faculty, Institute of Anatomy, Department of Anatomy and Molecular EmbryologyBochumGermany
| | - Holm Zaehres
- Ruhr University Bochum, Medical Faculty, Institute of Anatomy, Department of Anatomy and Molecular EmbryologyBochumGermany
- Max Planck Institute for Molecular Biomedicine, Department of Cell and Developmental BiologyMünsterGermany
| |
Collapse
|
18
|
Rubenstein AB, Smith GR, Zhang Z, Chen X, Chambers TL, Ruf-Zamojski F, Mendelev N, Cheng WS, Zamojski M, Amper MAS, Nair VD, Marderstein AR, Montgomery SB, Troyanskaya OG, Zaslavsky E, Trappe T, Trappe S, Sealfon SC. Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.26.558914. [PMID: 37808658 PMCID: PMC10557702 DOI: 10.1101/2023.09.26.558914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Endurance exercise is an important health modifier. We studied cell-type specific adaptations of human skeletal muscle to acute endurance exercise using single-nucleus (sn) multiome sequencing in human vastus lateralis samples collected before and 3.5 hours after 40 min exercise at 70% VO2max in four subjects, as well as in matched time of day samples from two supine resting circadian controls. High quality same-cell RNA-seq and ATAC-seq data were obtained from 37,154 nuclei comprising 14 cell types. Among muscle fiber types, both shared and fiber-type specific regulatory programs were identified. Single-cell circuit analysis identified distinct adaptations in fast, slow and intermediate fibers as well as LUM-expressing FAP cells, involving a total of 328 transcription factors (TFs) acting at altered accessibility sites regulating 2,025 genes. These data and circuit mapping provide single-cell insight into the processes underlying tissue and metabolic remodeling responses to exercise.
Collapse
Affiliation(s)
- Aliza B. Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Gregory R. Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Zidong Zhang
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Xi Chen
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA
| | - Toby L. Chambers
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
| | - Frederique Ruf-Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Natalia Mendelev
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Wan Sze Cheng
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Michel Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Mary Anne S. Amper
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Venugopalan D. Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Andrew R. Marderstein
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Stephen B. Montgomery
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Olga G. Troyanskaya
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Todd Trappe
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
- Senior author
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
| |
Collapse
|
19
|
Bouche A, Borner B, Richard C, Grand Y, Hannouche D, Laumonier T. In vitro-generated human muscle reserve cells are heterogeneous for Pax7 with distinct molecular states and metabolic profiles. Stem Cell Res Ther 2023; 14:243. [PMID: 37679820 PMCID: PMC10486062 DOI: 10.1186/s13287-023-03483-5] [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: 05/25/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND The capacity of skeletal muscles to regenerate relies on Pax7+ muscle stem cells (MuSC). While in vitro-amplified MuSC are activated and lose part of their regenerative capacity, in vitro-generated human muscle reserve cells (MuRC) are very similar to quiescent MuSC with properties required for their use in cell-based therapies. METHODS In the present study, we investigated the heterogeneity of human MuRC and characterized their molecular signature and metabolic profile. RESULTS We observed that Notch signaling is active and essential for the generation of quiescent human Pax7+ MuRC in vitro. We also revealed, by immunofluorescence and flow cytometry, two distinct subpopulations of MuRC distinguished by their relative Pax7 expression. After 48 h in differentiation medium (DM), the Pax7High subpopulation represented 35% of the total MuRC pool and this percentage increased to 61% after 96 h in DM. Transcriptomic analysis revealed that Pax7High MuRC were less primed for myogenic differentiation as compared to Pax7Low MuRC and displayed a metabolic shift from glycolysis toward fatty acid oxidation. The bioenergetic profile of human MuRC displayed a 1.5-fold decrease in glycolysis, basal respiration and ATP-linked respiration as compared to myoblasts. We also observed that AMPKα1 expression was significantly upregulated in human MuRC that correlated with an increased phosphorylation of acetyl-CoA carboxylase (ACC). Finally, we showed that fatty acid uptake was increased in MuRC as compared to myoblasts, whereas no changes were observed for glucose uptake. CONCLUSIONS Overall, these data reveal that the quiescent MuRC pool is heterogeneous for Pax7 with a Pax7High subpopulation being in a deeper quiescent state, less committed to differentiation and displaying a reduced metabolic activity. Altogether, our data suggest that human Pax7High MuRC may constitute an appropriate stem cell source for potential therapeutic applications in skeletal muscle diseases.
Collapse
Affiliation(s)
- Axelle Bouche
- Cell Therapy and Musculoskeletal Disorders Laboratory, Department of Orthopedic Surgery, Geneva University Hospitals and Faculty of Medicine, University Medical Center, 1 rue Michel Servet, 1211, Geneva, Switzerland
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Geneva, Switzerland
| | - Benoit Borner
- Cell Therapy and Musculoskeletal Disorders Laboratory, Department of Orthopedic Surgery, Geneva University Hospitals and Faculty of Medicine, University Medical Center, 1 rue Michel Servet, 1211, Geneva, Switzerland
| | - Chloé Richard
- Cell Therapy and Musculoskeletal Disorders Laboratory, Department of Orthopedic Surgery, Geneva University Hospitals and Faculty of Medicine, University Medical Center, 1 rue Michel Servet, 1211, Geneva, Switzerland
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Geneva, Switzerland
| | - Ysaline Grand
- Cell Therapy and Musculoskeletal Disorders Laboratory, Department of Orthopedic Surgery, Geneva University Hospitals and Faculty of Medicine, University Medical Center, 1 rue Michel Servet, 1211, Geneva, Switzerland
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Geneva, Switzerland
| | - Didier Hannouche
- Cell Therapy and Musculoskeletal Disorders Laboratory, Department of Orthopedic Surgery, Geneva University Hospitals and Faculty of Medicine, University Medical Center, 1 rue Michel Servet, 1211, Geneva, Switzerland
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Geneva, Switzerland
| | - Thomas Laumonier
- Cell Therapy and Musculoskeletal Disorders Laboratory, Department of Orthopedic Surgery, Geneva University Hospitals and Faculty of Medicine, University Medical Center, 1 rue Michel Servet, 1211, Geneva, Switzerland.
- Department of Cell Physiology and Metabolism, Faculty of Medicine, Geneva, Switzerland.
| |
Collapse
|
20
|
Okafor AE, Lin X, Situ C, Wei X, Xiang Y, Wei X, Wu Z, Diao Y. Single-cell chromatin accessibility profiling reveals a self-renewing muscle satellite cell state. J Cell Biol 2023; 222:e202211073. [PMID: 37382627 PMCID: PMC10309185 DOI: 10.1083/jcb.202211073] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/30/2023] [Accepted: 05/17/2023] [Indexed: 06/30/2023] Open
Abstract
A balance between self-renewal and differentiation is critical for the regenerative capacity of tissue-resident stem cells. In skeletal muscle, successful regeneration requires the orchestrated activation, proliferation, and differentiation of muscle satellite cells (MuSCs) that are normally quiescent. A subset of MuSCs undergoes self-renewal to replenish the stem cell pool, but the features that identify and define self-renewing MuSCs remain to be elucidated. Here, through single-cell chromatin accessibility analysis, we reveal the self-renewal versus differentiation trajectories of MuSCs over the course of regeneration in vivo. We identify Betaglycan as a unique marker of self-renewing MuSCs that can be purified and efficiently contributes to regeneration after transplantation. We also show that SMAD4 and downstream genes are genetically required for self-renewal in vivo by restricting differentiation. Our study unveils the identity and mechanisms of self-renewing MuSCs, while providing a key resource for comprehensive analysis of muscle regeneration.
Collapse
Affiliation(s)
- Arinze E. Okafor
- Department of Cell Biology, Duke University Medical Center, Durham, NC, USA
| | - Xin Lin
- Department of Cell Biology, Duke University Medical Center, Durham, NC, USA
- Duke Regeneration Center, Duke University Medical Center, Durham, NC, USA
| | - Chenghao Situ
- Division of Life Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong
| | - Xiaolin Wei
- Department of Cell Biology, Duke University Medical Center, Durham, NC, USA
- Duke Regeneration Center, Duke University Medical Center, Durham, NC, USA
| | - Yu Xiang
- Department of Cell Biology, Duke University Medical Center, Durham, NC, USA
- Duke Regeneration Center, Duke University Medical Center, Durham, NC, USA
| | - Xiuqing Wei
- Sanford-Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Zhenguo Wu
- Division of Life Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong
| | - Yarui Diao
- Department of Cell Biology, Duke University Medical Center, Durham, NC, USA
- Duke Regeneration Center, Duke University Medical Center, Durham, NC, USA
- Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, USA
- Department of Pathology, Duke University Medical Center, Durham, NC, USA
- Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA
| |
Collapse
|
21
|
Barruet E, Striedinger K, Marangoni P, Pomerantz JH. Loss of transcriptional heterogeneity in aged human muscle stem cells. PLoS One 2023; 18:e0285018. [PMID: 37192223 PMCID: PMC10187936 DOI: 10.1371/journal.pone.0285018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 04/12/2023] [Indexed: 05/18/2023] Open
Abstract
Age-related loss of muscle mass and function negatively impacts healthspan and lifespan. Satellite cells function as muscle stem cells in muscle maintenance and regeneration by self-renewal, activation, proliferation and differentiation. These processes are perturbed in aging at the stem cell population level, contributing to muscle loss. However, how representation of subpopulations within the human satellite cell pool change during aging remains poorly understood. We previously reported a comprehensive baseline of human satellite cell (Hu-MuSCs) transcriptional activity in muscle homeostasis describing functional heterogenous human satellite cell subpopulations such as CAV1+ Hu-MUSCs. Here, we sequenced additional satellite cells from new healthy donors and performed extended transcriptomic analyses with regard to aging. We found an age-related loss of global transcriptomic heterogeneity and identified new markers (CAV1, CXCL14, GPX3) along with previously described ones (FN1, ITGB1, SPRY1) that are altered during aging in human satellite cells. These findings describe new transcriptomic changes that occur during aging in human satellite cells and provide a foundation for understanding functional impact.
Collapse
Affiliation(s)
- Emilie Barruet
- Departments of Surgery and Orofacial Sciences, Division of Plastic and Reconstructive Surgery, Program in Craniofacial Biology, Eli and Edythe Broad Center of Regeneration Medicine, University of California San Francisco, San Francisco, California, United States of America
- Program in Craniofacial Biology and Department of Orofacial Sciences, University of California, San Francisco, California, United States of America
| | - Katharine Striedinger
- Departments of Surgery and Orofacial Sciences, Division of Plastic and Reconstructive Surgery, Program in Craniofacial Biology, Eli and Edythe Broad Center of Regeneration Medicine, University of California San Francisco, San Francisco, California, United States of America
| | - Pauline Marangoni
- Program in Craniofacial Biology and Department of Orofacial Sciences, University of California, San Francisco, California, United States of America
| | - Jason H. Pomerantz
- Departments of Surgery and Orofacial Sciences, Division of Plastic and Reconstructive Surgery, Program in Craniofacial Biology, Eli and Edythe Broad Center of Regeneration Medicine, University of California San Francisco, San Francisco, California, United States of America
| |
Collapse
|
22
|
Soule TG, Pontifex CS, Rosin N, Joel MM, Lee S, Nguyen MD, Chhibber S, Pfeffer G. A protocol for single nucleus RNA-seq from frozen skeletal muscle. Life Sci Alliance 2023; 6:e202201806. [PMID: 36914268 PMCID: PMC10011611 DOI: 10.26508/lsa.202201806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/24/2023] [Accepted: 02/27/2023] [Indexed: 03/14/2023] Open
Abstract
Single-cell technologies are a method of choice to obtain vast amounts of cell-specific transcriptional information under physiological and diseased states. Myogenic cells are resistant to single-cell RNA sequencing because of their large, multinucleated nature. Here, we report a novel, reliable, and cost-effective method to analyze frozen human skeletal muscle by single-nucleus RNA sequencing. This method yields all expected cell types for human skeletal muscle and works on tissue frozen for long periods of time and with significant pathological changes. Our method is ideal for studying banked samples with the intention of studying human muscle disease.
Collapse
Affiliation(s)
- Tyler Gb Soule
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Carly S Pontifex
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Nicole Rosin
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Faculty of Veterinary Medicine, University of Calgary, Calgary, Canada
| | - Matthew M Joel
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Sukyoung Lee
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Minh Dang Nguyen
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Sameer Chhibber
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Gerald Pfeffer
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Department of Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, Canada
| |
Collapse
|
23
|
Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 77] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
Collapse
Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| |
Collapse
|
24
|
Shao X, Fu X, Yang J, Sui W, Li S, Yang W, Lin X, Zhang Y, Jia M, Liu H, Liu W, Han L, Yu Y, Deng Y, Zhang T, Yang J, Hu P. The asymmetrical ESR1 signaling in muscle progenitor cells determines the progression of adolescent idiopathic scoliosis. Cell Discov 2023; 9:44. [PMID: 37185898 PMCID: PMC10130095 DOI: 10.1038/s41421-023-00531-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 02/21/2023] [Indexed: 05/17/2023] Open
Abstract
Adolescent Idiopathic Scoliosis (AIS) is a common pediatric skeletal disease highly occurred in females. The pathogenesis of AIS has not been fully elucidated. Here, we reveal that ESR1 (Estrogen Receptor 1) expression declines in muscle stem/progenitor cells at the concave side of AIS patients. Furthermore, ESR1 is required for muscle stem/progenitor cell differentiation and disrupted ESR1 signaling leads to differentiation defects. The imbalance of ESR1 signaling in the para-spinal muscles induces scoliosis in mice, while reactivation of ESR1 signaling at the concave side by an FDA approved drug Raloxifene alleviates the curve progression. This work reveals that the asymmetric inactivation of ESR1 signaling is one of the causes of AIS. Reactivation of ESR1 signaling in para-spinal muscle by Raloxifene at the concave side could be a new strategy to treat AIS.
Collapse
Affiliation(s)
- Xiexiang Shao
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Fu
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingfan Yang
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenyuan Sui
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sheng Li
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenjun Yang
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xingzuan Lin
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanyuan Zhang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- Centre Testing International Medical Laboratory (CTI-Medlab), Shanghai, China
| | - Minzhi Jia
- Centre Testing International Medical Laboratory (CTI-Medlab), Shanghai, China
| | - Huan Liu
- Centre Testing International Medical Laboratory (CTI-Medlab), Shanghai, China
| | - Wei Liu
- Centre Testing International Medical Laboratory (CTI-Medlab), Shanghai, China
| | - Lili Han
- Centre Testing International Medical Laboratory (CTI-Medlab), Shanghai, China
| | - Yang Yu
- Centre Testing International Medical Laboratory (CTI-Medlab), Shanghai, China
| | - Yaolong Deng
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianyuan Zhang
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junlin Yang
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Ping Hu
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
| |
Collapse
|
25
|
Yeh CJ, Sattler KM, Lepper C. Molecular regulation of satellite cells via intercellular signaling. Gene 2023; 858:147172. [PMID: 36621659 PMCID: PMC9928918 DOI: 10.1016/j.gene.2023.147172] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/21/2022] [Accepted: 01/03/2023] [Indexed: 01/07/2023]
Abstract
Somatic stem cells are tissue-specific reserve cells tasked to sustain tissue homeostasis in adulthood and/or effect tissue regeneration after traumatic injury. The stem cells of skeletal muscle tissue are the satellite cells, which were originally described and named after their localization beneath the muscle fiber lamina and attached to the multi-nucleated muscle fibers. During adult homeostasis, satellite cells are maintained in quiescence, a state of reversible cell cycle arrest. Yet, upon injury, satellite cells are rapidly activated, becoming highly mitotically active to generate large numbers of myoblasts that differentiate and fuse to regenerate the injured muscle fibers. A subset self-renews to replenish the pool of muscle stem cells.Complex intrinsic gene regulatory networks maintain the quiescent state of satellite cells, or upon injury, direct their activation, proliferation, differentiation and self-renewal. Molecular cues from the satellite cells' environment provide the essential information as to when and where satellite cells are to stay quiescent or break quiescence and effect regenerative myogenesis. Predominantly, these cues are secreted, diffusible or membrane-bound ligands that bind to and activate their specific cognate receptors on the satellite cell to activate downstream signaling cascades and elicit context-specific cell behavior. This review aims to offer a concise overview of major intercellular signaling pathways regulating satellite cells during quiescence and in injury-induced skeletal muscle regeneration.
Collapse
Affiliation(s)
- Chung-Ju Yeh
- Department of Physiology and Cell Biology, The Ohio State University, Columbus, OH, United States
| | - Kristina M Sattler
- Department of Physiology and Cell Biology, The Ohio State University, Columbus, OH, United States
| | - Christoph Lepper
- Department of Physiology and Cell Biology, The Ohio State University, Columbus, OH, United States.
| |
Collapse
|
26
|
Andre AB, Rees KP, O’Connor S, Severson GW, Newbern JM, Wilson-Rawls J, Plaisier CL, Rawls A. Single cell analysis reveals satellite cell heterogeneity for proinflammatory chemokine expression. Front Cell Dev Biol 2023; 11:1084068. [PMID: 37051469 PMCID: PMC10083252 DOI: 10.3389/fcell.2023.1084068] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 03/16/2023] [Indexed: 03/28/2023] Open
Abstract
Background: The expression of proinflammatory signals at the site of muscle injury are essential for efficient tissue repair and their dysregulation can lead to inflammatory myopathies. Macrophages, neutrophils, and fibroadipogenic progenitor cells residing in the muscle are significant sources of proinflammatory cytokines and chemokines. However, the inducibility of the myogenic satellite cell population and their contribution to proinflammatory signaling is less understood.Methods: Mouse satellite cells were isolated and exposed to lipopolysaccharide (LPS) to mimic sterile skeletal muscle injury and changes in the expression of proinflammatory genes was examined by RT-qPCR and single cell RNA sequencing. Expression patterns were validated in skeletal muscle injured with cardiotoxin by RT-qPCR and immunofluorescence.Results: Satellite cells in culture were able to express Tnfa, Ccl2, and Il6, within 2 h of treatment with LPS. Single cell RNA-Seq revealed seven cell clusters representing the continuum from activation to differentiation. LPS treatment led to a heterogeneous pattern of induction of C-C and C-X-C chemokines (e.g., Ccl2, Ccl5, and Cxcl0) and cytokines (e.g., Tgfb1, Bmp2, Il18, and Il33) associated with innate immune cell recruitment and satellite cell proliferation. One cell cluster was enriched for expression of the antiviral interferon pathway genes under control conditions and LPS treatment. Activation of this pathway in satellite cells was also detectable at the site of cardiotoxin induced muscle injury.Conclusion: These data demonstrate that satellite cells respond to inflammatory signals and secrete chemokines and cytokines. Further, we identified a previously unrecognized subset of satellite cells that may act as sensors for muscle infection or injury using the antiviral interferon pathway.
Collapse
Affiliation(s)
- Alexander B. Andre
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
- Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ, United States
| | - Katherina P. Rees
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
- Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ, United States
| | - Samantha O’Connor
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States
- Biomedical Engineering Graduate Program, Arizona State University, Tempe, AZ, United States
| | - Grant W. Severson
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
- Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ, United States
| | - Jason M. Newbern
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
| | | | - Christopher L. Plaisier
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States
| | - Alan Rawls
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
- *Correspondence: Alan Rawls,
| |
Collapse
|
27
|
Thome T, Kim K, Dong G, Ryan TE. The Role of Mitochondrial and Redox Alterations in the Skeletal Myopathy Associated with Chronic Kidney Disease. Antioxid Redox Signal 2023; 38:318-337. [PMID: 36245209 PMCID: PMC9986033 DOI: 10.1089/ars.2022.0143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 09/28/2022] [Accepted: 10/01/2022] [Indexed: 11/12/2022]
Abstract
Significance: An estimated 700 million people globally suffer from chronic kidney disease (CKD). In addition to increasing cardiovascular disease risk, CKD is a catabolic disease that results in a loss of muscle mass and function, which are strongly associated with mortality and a reduced quality of life. Despite the importance of muscle health and function, there are no treatments available to prevent or attenuate the myopathy associated with CKD. Recent Advances: Recent studies have begun to unravel the changes in mitochondrial and redox homeostasis within skeletal muscle during CKD. Impairments in mitochondrial metabolism, characterized by reduced oxidative phosphorylation, are found in both rodents and patients with CKD. Associated with aberrant mitochondrial function, clinical and preclinical findings have documented signs of oxidative stress, although the molecular source and species are ill-defined. Critical Issues: First, we review the pathobiology of CKD and its associated myopathy, and we review muscle cell bioenergetics and redox biology. Second, we discuss evidence from clinical and preclinical studies that have implicated the involvement of mitochondrial and redox alterations in CKD-associated myopathy and review the underlying mechanisms reported. Third, we discuss gaps in knowledge related to mitochondrial and redox alterations on muscle health and function in CKD. Future Directions: Despite what has been learned, effective treatments to improve muscle health in CKD remain elusive. Further studies are needed to uncover the complex mitochondrial and redox alterations, including post-transcriptional protein alterations, in patients with CKD and how these changes interact with known or unknown catabolic pathways contributing to poor muscle health and function. Antioxid. Redox Signal. 38, 318-337.
Collapse
Affiliation(s)
- Trace Thome
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA
| | - Kyoungrae Kim
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA
| | - Gengfu Dong
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA
| | - Terence E. Ryan
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA
- Center for Exercise Science, University of Florida, Gainesville, Florida, USA
- Myology Institute, University of Florida, Gainesville, Florida, USA
| |
Collapse
|
28
|
Disintegration of the NuRD Complex in Primary Human Muscle Stem Cells in Critical Illness Myopathy. Int J Mol Sci 2023; 24:ijms24032772. [PMID: 36769095 PMCID: PMC9916927 DOI: 10.3390/ijms24032772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/19/2023] [Accepted: 01/26/2023] [Indexed: 02/04/2023] Open
Abstract
Critical illness myopathy (CIM) is an acquired, devastating, multifactorial muscle-wasting disease with incomplete recovery. The impact on hospital costs and permanent loss of quality of life is enormous. Incomplete recovery might imply that the function of muscle stem cells (MuSC) is impaired. We tested whether epigenetic alterations could be in part responsible. We characterized human muscle stem cells (MuSC) isolated from early CIM and analyzed epigenetic alterations (CIM n = 15, controls n = 21) by RNA-Seq, immunofluorescence, analysis of DNA repair, and ATAC-Seq. CIM-MuSC were transplanted into immunodeficient NOG mice to assess their regenerative potential. CIM-MuSC exhibited significant growth deficits, reduced ability to differentiate into myotubes, and impaired DNA repair. The chromatin structure was damaged, as characterized by alterations in mRNA of histone 1, depletion or dislocation of core proteins of nucleosome remodeling and deacetylase complex, and loosening of multiple nucleosome-spanning sites. Functionally, CIM-MuSC had a defect in building new muscle fibers. Further, MuSC obtained from the electrically stimulated muscle of CIM patients was very similar to control MuSC, indicating the impact of muscle contraction in the onset of CIM. CIM not only affects working skeletal muscle but has a lasting and severe epigenetic impact on MuSC.
Collapse
|
29
|
Perez K, Ciotlos S, McGirr J, Limbad C, Doi R, Nederveen JP, Nilsson MI, Winer DA, Evans W, Tarnopolsky M, Campisi J, Melov S. Single nuclei profiling identifies cell specific markers of skeletal muscle aging, frailty, and senescence. Aging (Albany NY) 2022; 14:9393-9422. [PMID: 36516485 PMCID: PMC9792217 DOI: 10.18632/aging.204435] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 12/07/2022] [Indexed: 12/15/2022]
Abstract
Aging is accompanied by a loss of muscle mass and function, termed sarcopenia, which causes numerous morbidities and economic burdens in human populations. Mechanisms implicated in age-related sarcopenia or frailty include inflammation, muscle stem cell depletion, mitochondrial dysfunction, and loss of motor neurons, but whether there are key drivers of sarcopenia are not yet known. To gain deeper insights into age-related muscle loss, we performed transcriptome profiling on lower limb muscle biopsies from 72 young, elderly, and frail human subjects using bulk RNA-seq (N = 72) and single-nuclei RNA-seq (N = 17). This combined approach revealed changes in gene expression that occur with age and frailty in multiple cell types comprising mature skeletal muscle. Notably, we found increased expression of the genes MYH8 and PDK4, and decreased expression of the gene IGFN1, in aged muscle. We validated several key genes changes in fixed human muscle tissue using digital spatial profiling. We also identified a small population of nuclei that express CDKN1A, present only in aged samples, consistent with p21cip1-driven senescence in this subpopulation. Overall, our findings identify unique cellular subpopulations in aged and sarcopenic skeletal muscle, which will facilitate the development of new therapeutic strategies to combat age-related frailty.
Collapse
Affiliation(s)
- Kevin Perez
- Buck Institute for Research on Aging, Novato, CA 94952, USA
| | - Serban Ciotlos
- Buck Institute for Research on Aging, Novato, CA 94952, USA
| | - Julia McGirr
- Buck Institute for Research on Aging, Novato, CA 94952, USA
| | | | - Ryosuke Doi
- Buck Institute for Research on Aging, Novato, CA 94952, USA
- Drug Discovery Research, Astellas Pharma, Tsukuba, Ibaraki, Japan
| | | | | | | | - William Evans
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, CA 94720, USA
| | | | - Judith Campisi
- Buck Institute for Research on Aging, Novato, CA 94952, USA
| | - Simon Melov
- Buck Institute for Research on Aging, Novato, CA 94952, USA
| |
Collapse
|
30
|
Hu H, Duan Y, Wang K, Fu H, Liao Y, Wang T, Zhang Z, Kang F, Zhang B, Zhang H, Huo F, Yin Y, Chen G, Hu H, Cai H, Tian W, Li Z. Dental niche cells directly contribute to tooth reconstitution and morphogenesis. Cell Rep 2022; 41:111737. [PMID: 36476878 DOI: 10.1016/j.celrep.2022.111737] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/10/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022] Open
Abstract
Mammalian teeth develop from the inductive epithelial-mesenchymal interaction, an important mechanism shared by many organs. The cellular basis for such interaction remains elusive. Here, we generate a dual-fluorescence model to track and analyze dental cells from embryonic to postnatal stages, in which Pitx2+ epithelium and Msx1+ mesenchyme are sufficient for tooth reconstitution. Single-cell RNA sequencing and spatial mapping further revealed critical cellular dynamics during molar development, where tooth germs are organized by Msx1+Sdc1+ dental papilla and surrounding dental niche. Surprisingly, niche cells are more efficient in tooth reconstitution and can directly regenerate papilla cells through interaction with dental epithelium. Finally, from the dental niche, we identify a group of previously unappreciated migratory Msx1+ Sox9+ cells as the potential cell origin for dental papilla. Our results indicate that the dental niche cells directly contribute to tooth organogenesis and provide critical insights into the essential cell composition for tooth engineering.
Collapse
Affiliation(s)
- Hong Hu
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yufeng Duan
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China; National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China; National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China; Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Kun Wang
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Huancheng Fu
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yuansong Liao
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Tianshu Wang
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Ziwei Zhang
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Fanchen Kang
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China; National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Baiquan Zhang
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Haiying Zhang
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Fangjun Huo
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China; National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China; National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yike Yin
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Guoqing Chen
- National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China; School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hongbo Hu
- Department of Rheumatology and Immunology, Department of Urology, Department of Pathology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Haoyang Cai
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China.
| | - Weidong Tian
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China; National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China; National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China; Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
| | - Zhonghan Li
- State Key Laboratory of Oral Disease, West China Hospital of Stomatology, Center of Growth Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China; National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
| |
Collapse
|
31
|
Koike H, Manabe I, Oishi Y. Mechanisms of cooperative cell-cell interactions in skeletal muscle regeneration. Inflamm Regen 2022; 42:48. [DOI: 10.1186/s41232-022-00234-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 11/08/2022] [Indexed: 11/17/2022] Open
Abstract
AbstractSkeletal muscles have an extraordinary capacity to regenerate themselves when injured. Skeletal muscle stem cells, called satellite cells, play a central role in muscle regeneration via three major steps: activation, proliferation, and differentiation. These steps are affected by multiple types of cells, such as immune cells, fibro-adipogenic progenitor cells, and vascular endothelial cells. The widespread use of single-cell sequencing technologies has enabled the identification of novel cell subpopulations associated with muscle regeneration and their regulatory mechanisms. This review summarizes the dynamism of the cellular community that controls and promotes muscle regeneration, with a particular focus on skeletal muscle stem cells.
Collapse
|
32
|
Shams AS, Arpke RW, Gearhart MD, Weiblen J, Mai B, Oyler D, Bosnakovski D, Mahmoud OM, Hassan GM, Kyba M. The chemokine receptor CXCR4 regulates satellite cell activation, early expansion, and self-renewal, in response to skeletal muscle injury. Front Cell Dev Biol 2022; 10:949532. [PMID: 36211464 PMCID: PMC9536311 DOI: 10.3389/fcell.2022.949532] [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: 05/21/2022] [Accepted: 08/25/2022] [Indexed: 11/13/2022] Open
Abstract
Acute skeletal muscle injury is followed by satellite cell activation, proliferation, and differentiation to replace damaged fibers with newly regenerated muscle fibers, processes that involve satellite cell interactions with various niche signals. Here we show that satellite cell specific deletion of the chemokine receptor CXCR4, followed by suppression of recombination escapers, leads to defects in regeneration and satellite cell pool repopulation in both the transplantation and in situ injury contexts. Mechanistically, we show that endothelial cells and FAPs express the gene for the ligand, SDF1α, and that CXCR4 is principally required for proper activation and for transit through the first cell division, and to a lesser extent the later cell divisions. In the absence of CXCR4, gene expression in quiescent satellite cells is not severely disrupted, but in activated satellite cells a subset of genes normally induced by activation fail to upregulate normally. These data demonstrate that CXCR4 signaling is essential to normal early activation, proliferation, and self-renewal of satellite cells.
Collapse
Affiliation(s)
- Ahmed S. Shams
- Lillehei Heart Institute, Minneapolis, MN, United States
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
- Department of Human Anatomy and Embryology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Robert W. Arpke
- Lillehei Heart Institute, Minneapolis, MN, United States
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | - Micah D. Gearhart
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, United States
| | - Johannes Weiblen
- Lillehei Heart Institute, Minneapolis, MN, United States
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | - Ben Mai
- Lillehei Heart Institute, Minneapolis, MN, United States
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | - David Oyler
- Lillehei Heart Institute, Minneapolis, MN, United States
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | - Darko Bosnakovski
- Lillehei Heart Institute, Minneapolis, MN, United States
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | - Omayma M. Mahmoud
- Department of Human Anatomy and Embryology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Gamal M. Hassan
- Department of Human Anatomy and Embryology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Michael Kyba
- Lillehei Heart Institute, Minneapolis, MN, United States
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
- *Correspondence: Michael Kyba,
| |
Collapse
|
33
|
Scripture-Adams DD, Chesmore KN, Barthélémy F, Wang RT, Nieves-Rodriguez S, Wang DW, Mokhonova EI, Douine ED, Wan J, Little I, Rabichow LN, Nelson SF, Miceli MC. Single nuclei transcriptomics of muscle reveals intra-muscular cell dynamics linked to dystrophin loss and rescue. Commun Biol 2022; 5:989. [PMID: 36123393 PMCID: PMC9485160 DOI: 10.1038/s42003-022-03938-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 09/01/2022] [Indexed: 02/05/2023] Open
Abstract
In Duchenne muscular dystrophy, dystrophin loss leads to chronic muscle damage, dysregulation of repair, fibro-fatty replacement, and weakness. We develop methodology to efficiently isolate individual nuclei from minute quantities of frozen skeletal muscle, allowing single nuclei sequencing of irreplaceable archival samples and from very small samples. We apply this method to identify cell and gene expression dynamics within human DMD and mdx mouse muscle, characterizing effects of dystrophin rescue by exon skipping therapy at single nuclei resolution. DMD exon 23 skipping events are directly observed and increased in myonuclei from treated mice. We describe partial rescue of type IIa and IIx myofibers, expansion of an MDSC-like myeloid population, recovery of repair/remodeling M2-macrophage, and repression of inflammatory POSTN1 + fibroblasts in response to exon skipping and partial dystrophin restoration. Use of this method enables exploration of cellular and transcriptomic mechanisms of dystrophin loss and repair within an intact muscle environment. Our initial findings will scaffold our future work to more directly examine muscular dystrophies and putative recovery pathways.
Collapse
Affiliation(s)
- Deirdre D Scripture-Adams
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine and College of Letters and Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kevin N Chesmore
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Florian Barthélémy
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine and College of Letters and Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Richard T Wang
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Shirley Nieves-Rodriguez
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Derek W Wang
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Amgen, Thousand Oaks, CA, USA
| | - Ekaterina I Mokhonova
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Emilie D Douine
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jijun Wan
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Isaiah Little
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine and College of Letters and Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Laura N Rabichow
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine and College of Letters and Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Stanley F Nelson
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA.
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
| | - M Carrie Miceli
- Center for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, USA.
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine and College of Letters and Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
| |
Collapse
|
34
|
From cyclins to CDKIs: Cell cycle regulation of skeletal muscle stem cell quiescence and activation. Exp Cell Res 2022; 420:113275. [PMID: 35931143 DOI: 10.1016/j.yexcr.2022.113275] [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: 06/14/2021] [Revised: 06/12/2022] [Accepted: 07/03/2022] [Indexed: 11/22/2022]
Abstract
After extensive proliferation during development, the adult skeletal muscle cells remain outside the cell cycle, either as post-mitotic myofibers or as quiescent muscle stem cells (MuSCs). Despite its terminally differentiated state, adult skeletal muscle has a remarkable regeneration potential, driven by MuSCs. Upon injury, MuSC quiescence is reversed to support tissue growth and repair and it is re-established after the completion of muscle regeneration. The distinct cell cycle states and transitions observed in the different myogenic populations are orchestrated by elements of the cell cycle machinery. This consists of i) complexes of cyclins and Cyclin-Dependent Kinases (CDKs) that ensure cell cycle progression and ii) their negative regulators, the Cyclin-Dependent Kinase Inhibitors (CDKIs). In this review we discuss the roles of these factors in developmental and adult myogenesis, with a focus on CDKIs that have emerging roles in stem cell functions.
Collapse
|
35
|
Oskolkov N, Santel M, Parikh HM, Ekström O, Camp GJ, Miyamoto-Mikami E, Ström K, Mir BA, Kryvokhyzha D, Lehtovirta M, Kobayashi H, Kakigi R, Naito H, Eriksson KF, Nystedt B, Fuku N, Treutlein B, Pääbo S, Hansson O. High-throughput muscle fiber typing from RNA sequencing data. Skelet Muscle 2022; 12:16. [PMID: 35780170 PMCID: PMC9250227 DOI: 10.1186/s13395-022-00299-4] [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: 12/09/2021] [Accepted: 06/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Skeletal muscle fiber type distribution has implications for human health, muscle function, and performance. This knowledge has been gathered using labor-intensive and costly methodology that limited these studies. Here, we present a method based on muscle tissue RNA sequencing data (totRNAseq) to estimate the distribution of skeletal muscle fiber types from frozen human samples, allowing for a larger number of individuals to be tested. Methods By using single-nuclei RNA sequencing (snRNAseq) data as a reference, cluster expression signatures were produced by averaging gene expression of cluster gene markers and then applying these to totRNAseq data and inferring muscle fiber nuclei type via linear matrix decomposition. This estimate was then compared with fiber type distribution measured by ATPase staining or myosin heavy chain protein isoform distribution of 62 muscle samples in two independent cohorts (n = 39 and 22). Results The correlation between the sequencing-based method and the other two were rATPas = 0.44 [0.13–0.67], [95% CI], and rmyosin = 0.83 [0.61–0.93], with p = 5.70 × 10–3 and 2.00 × 10–6, respectively. The deconvolution inference of fiber type composition was accurate even for very low totRNAseq sequencing depths, i.e., down to an average of ~ 10,000 paired-end reads. Conclusions This new method (https://github.com/OlaHanssonLab/PredictFiberType) consequently allows for measurement of fiber type distribution of a larger number of samples using totRNAseq in a cost and labor-efficient way. It is now feasible to study the association between fiber type distribution and e.g. health outcomes in large well-powered studies. Supplementary Information The online version contains supplementary material available at 10.1186/s13395-022-00299-4.
Collapse
Affiliation(s)
- Nikolay Oskolkov
- Department of Clinical Sciences, Lund University, Malmö, Sweden.,Department of Biology, Science for Life Laboratory, National Bioinformatics Infrastructure Sweden, Lund University, Lund, Sweden
| | - Malgorzata Santel
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Hemang M Parikh
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Gainesville, USA
| | - Ola Ekström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Gray J Camp
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Eri Miyamoto-Mikami
- Graduate School of Health and Sports Science, Juntendo University, Chiba, Japan
| | - Kristoffer Ström
- Department of Clinical Sciences, Lund University, Malmö, Sweden.,Swedish Winter Sports Research Centre, Mid Sweden University, Östersund, Sweden
| | - Bilal Ahmad Mir
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Mikko Lehtovirta
- Department of Clinical Sciences, Lund University, Malmö, Sweden.,Institute for Molecular Medicine Finland (FIMM), Helsinki University, Helsinki, Finland
| | | | - Ryo Kakigi
- Faculty of Management & Information Science, Josai International University, Chiba, Japan
| | - Hisashi Naito
- Graduate School of Health and Sports Science, Juntendo University, Chiba, Japan
| | | | - Björn Nystedt
- Department of Cell and Molecular Biology, Science for Life Laboratory, National Bioinformatics Infrastructure Sweden, Uppsala University, Uppsala, Sweden
| | - Noriyuki Fuku
- Graduate School of Health and Sports Science, Juntendo University, Chiba, Japan
| | - Barbara Treutlein
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Svante Pääbo
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,Okinawa Institute of Science and Technology, Onna-son, Japan
| | - Ola Hansson
- Department of Clinical Sciences, Lund University, Malmö, Sweden. .,Institute for Molecular Medicine Finland (FIMM), Helsinki University, Helsinki, Finland.
| |
Collapse
|
36
|
Davies MR, Garcia S, Liu M, Chi H, Kim HT, Raffai RL, Liu X, Feeley BT. Muscle-Derived Beige Adipose Precursors Secrete Promyogenic Exosomes That Treat Rotator Cuff Muscle Degeneration in Mice and Are Identified in Humans by Single-Cell RNA Sequencing. Am J Sports Med 2022; 50:2247-2257. [PMID: 35604307 DOI: 10.1177/03635465221095568] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Muscle atrophy, fibrosis, and fatty infiltration are common to a variety of sports-related and degenerative conditions and are thought to be irreversible. Fibroadipogenic progenitors (FAPs) are multipotent resident muscle stem cells with the capacity to differentiate into fibrogenic as well as white and beige adipose tissue (BAT). FAPs that have assumed a BAT differentiation state (FAP-BAT) have proven efficacious in treating muscle degeneration in numerous injury models. PURPOSE To characterize the subpopulation of murine FAPs with FAP-BAT activity, determine whether their promyogenic effect is mediated via exosomes, and analyze human FAPs for an analogous promyogenic exosome-rich subpopulation. STUDY DESIGN Controlled laboratory study. METHODS FAPs from UCP1 reporter mice were isolated via fluorescence-activated cell sorting and sorted according to the differential intensity of the UCP1 signal observed: negative for UCP1 (UCP1-), intermediate intensity (UCP1+), and high intensity (UCP1++). Bulk RNA sequencing was performed on UCP1-, UCP1+, and UCP1++ FAPs to evaluate distinct characteristics of each population. Exosomes were harvested from UCP1++ FAP-BAT exosomes (Exo-FB) as well as UCP1- non-FAP-BAT exosomes (Exo-nFB) cells using cushioned-density gradient ultracentrifugation and used to treat C2C12 cells and mouse embryonic fibroblasts in vitro, and the myotube fusion index was assessed. Exo-FB and Exo-nFB were then used to treat wild type C57B/L6J mice that had undergone a massive rotator cuff tear. At 6 weeks mice were sacrificed, and supraspinatus muscles were harvested and analyzed for muscle atrophy, fibrosis, fatty infiltration, and UCP1 expression. Single-cell RNA sequencing was then performed on FAPs isolated from human muscle that were treated with the beta-agonist formoterol or standard media to assess for the presence of a parallel promyogenic subpopulation of FAP-BAT cells in humans. RESULTS Flow cytometry analysis of sorted UCP1 reporter mouse FAPs revealed a trimodal distribution of UCP1 signal intensity, which correlated with 3 distinct transcriptomic profiles characterized with bulk RNA sequencing. UCP1++ cells were marked by high mitochondrial gene expression, BAT markers, and exosome surface makers; UCP1- cells were marked by fibrogenic markers; and UCP1+ cells were characterized differential enrichment of white adipose tissue markers. Exo-FB treatment of C2C12 cells resulted in robust myotube fusion, while treatment of mouse embryonic fibroblasts resulted in differentiation into myotubes. Treatment of cells with Exo-nFB resulted in poor myotube formation. Mice that were treated with Exo-FB at the time of rotator cuff injury demonstrated markedly reduced muscle atrophy and fatty infiltration as compared with treatment with Exo-nFB or phosphate-buffered saline. Single-cell RNA sequencing of human FAPs from the rotator cuff revealed 6 distinct subpopulations of human FAPs, with one subpopulation demonstrating the presence of UCP1+ beige adipocytes with a distinct profile of BAT, mitochondrial, and extracellular vesicle-associated markers. CONCLUSION FAP-BAT cells form a subpopulation of FAPs with upregulated beige gene expression and exosome production that mediate promyogenic effects in vitro and in vivo, and they are present as a transcriptomically similar subpopulation of FAPs in humans. CLINICAL RELEVANCE FAP-BAT cells and their exosomes represent a potential therapeutic avenue for treating rotator cuff muscle degeneration.
Collapse
Affiliation(s)
- Michael R Davies
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Steven Garcia
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Mengyao Liu
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Veterans Affairs, Surgical Service, San Francisco VA Medical Center, San Francisco, California, USA
| | - Hannah Chi
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Hubert T Kim
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Veterans Affairs, Surgical Service, San Francisco VA Medical Center, San Francisco, California, USA
| | - Robert L Raffai
- Department of Veterans Affairs, Surgical Service, San Francisco VA Medical Center, San Francisco, California, USA.,Department of Surgery, Division of Endovascular and Vascular Surgery, University of California, San Francisco, CA, USA
| | - Xuhui Liu
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Veterans Affairs, Surgical Service, San Francisco VA Medical Center, San Francisco, California, USA
| | - Brian T Feeley
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA.,Department of Veterans Affairs, Surgical Service, San Francisco VA Medical Center, San Francisco, California, USA
| |
Collapse
|
37
|
Hong B, Li Y, Yang R, Dai S, Zhan Y, Zhang WB, Dong R. Single-cell transcriptional profiling reveals heterogeneity and developmental trajectories of Ewing sarcoma. J Cancer Res Clin Oncol 2022; 148:3267-3280. [PMID: 35713707 DOI: 10.1007/s00432-022-04073-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 05/16/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE Ewing sarcoma (EwS) is an aggressive malignant neoplasm composed of small round cells. The heterogeneity and developmental trajectories of EwS are uncertain. METHODS Single-cell RNA sequencing was performed on 4 EwS tumor tissue samples, and 3 transcriptional atlases were generated. K-nearest neighbor algorithm was used to predict the origin of tumor cells at single-cell resolution. Monocle2 package was used to perform pseudotime trajectory analysis in tumor cells. Differentially expressed genes were compared against those in all other clusters via the FindMarkers function, and then they were subjected to GO analysis using clusterProfiler package. RESULTS Combined with the results of k-nearest neighbor algorithm and pseudotime trajectory analysis in tumor cells, we thought meningeal EwS originated from neural crest cells during epithelial to mesenchymal transition and simulated the process of neural crest cell lineage differentiation. But for perirenal EwS and spinal EwS, we hypothesized that after the neural crest cell lineage mutated into them, the tumor cells did not maintain the differentiation trajectory of neural crest cell lineage, and the development trajectory of tumor cells became chaotic. GO analysis results showed that interferon signaling pathway-related biological processes play an essential role in the tumorigenesis and tumor progression process of EwS, and among these biological processes genes, JAK1 gene up-regulated most significantly and highly expressed in all tumor cells. Ruxolitinib was used to explore the function of JAK1. Targeting JAK1 can promote apoptosis of EwS tumor cells, inhibit the migration and invasion of EwS tumor cells, and inhibit cell proliferation by inducing cell cycle S phase arrest. CONCLUSION EwS was derived from neural crest cell lineage with variable developmental timing of oncogenic conversion, and the JAK1 might be a candidate for therapeutic targets of EwS.
Collapse
Affiliation(s)
- Bo Hong
- Department of Pediatric Surgery, Shanghai Key Laboratory of Birth Defect, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China
| | - Yi Li
- Department of Pediatric Surgery, Shanghai Key Laboratory of Birth Defect, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China
| | - Ran Yang
- Department of Pediatric Surgery, Shanghai Key Laboratory of Birth Defect, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China
| | - ShuYang Dai
- Department of Pediatric Surgery, Shanghai Key Laboratory of Birth Defect, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China
| | - Yong Zhan
- Department of Pediatric Surgery, Shanghai Key Laboratory of Birth Defect, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China
| | - Wen-Bo Zhang
- Department of Pediatric Thoracic Surgery, Shanghai Key Laboratory of Birth Defect, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China.
| | - Rui Dong
- Department of Pediatric Surgery, Shanghai Key Laboratory of Birth Defect, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China.
| |
Collapse
|
38
|
Stadelmann C, Di Francescantonio S, Marg A, Müthel S, Spuler S, Escobar H. mRNA-mediated delivery of gene editing tools to human primary muscle stem cells. MOLECULAR THERAPY. NUCLEIC ACIDS 2022; 28:47-57. [PMID: 35356683 PMCID: PMC8931293 DOI: 10.1016/j.omtn.2022.02.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 02/25/2022] [Indexed: 01/05/2023]
Abstract
Muscular dystrophies are approximately 50 devastating, untreatable monogenic diseases leading to progressive muscle degeneration and atrophy. Gene correction of transplantable cells using CRISPR/Cas9-based tools is a realistic scenario for autologous cell replacement therapies to restore organ function in many genetic disorders. However, muscle stem cells have so far lagged behind due to the absence of methods to isolate and propagate them and their susceptibility to extensive ex vivo manipulations. Here, we show that mRNA-based delivery of SpCas9 and an adenine base editor results in up to >90% efficient genome editing in human muscle stem cells from many donors regardless of age and gender and without any enrichment step. Using NCAM1 as an endogenous reporter locus expressed by all muscle stem cells and whose knockout does not affect cell fitness, we show that cells edited with mRNA fully retain their myogenic marker signature, proliferation capacity, and functional attributes. Moreover, mRNA-based delivery of a base editor led to the highly efficient repair of a muscular dystrophy-causing SGCA mutation in a single selection-free step. In summary, our work establishes mRNA-mediated delivery of CRISPR/Cas9-based tools as a promising and universal approach for taking gene edited muscle stem cells into clinical application to treat muscle disease.
Collapse
Affiliation(s)
- Christian Stadelmann
- Experimental and Clinical Research Center, A Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité - Universitätsmedizin Berlin, 13125 Berlin, Germany.,Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center, Charité Campus Buch, Lindenberger Weg 80, 13125 Berlin, Germany.,Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.,Department of Biology, Chemistry, and Pharmacy, Freie Universität Berlin, 14195 Berlin, Germany
| | - Silvia Di Francescantonio
- Experimental and Clinical Research Center, A Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité - Universitätsmedizin Berlin, 13125 Berlin, Germany.,Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center, Charité Campus Buch, Lindenberger Weg 80, 13125 Berlin, Germany.,Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Andreas Marg
- Experimental and Clinical Research Center, A Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité - Universitätsmedizin Berlin, 13125 Berlin, Germany.,Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center, Charité Campus Buch, Lindenberger Weg 80, 13125 Berlin, Germany.,Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Stefanie Müthel
- Experimental and Clinical Research Center, A Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité - Universitätsmedizin Berlin, 13125 Berlin, Germany.,Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center, Charité Campus Buch, Lindenberger Weg 80, 13125 Berlin, Germany.,Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Simone Spuler
- Experimental and Clinical Research Center, A Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité - Universitätsmedizin Berlin, 13125 Berlin, Germany.,Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center, Charité Campus Buch, Lindenberger Weg 80, 13125 Berlin, Germany.,Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10178 Berlin, Germany
| | - Helena Escobar
- Experimental and Clinical Research Center, A Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité - Universitätsmedizin Berlin, 13125 Berlin, Germany.,Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center, Charité Campus Buch, Lindenberger Weg 80, 13125 Berlin, Germany.,Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| |
Collapse
|
39
|
Wheeler JR, Whitney ON, Vogler TO, Nguyen ED, Pawlikowski B, Lester E, Cutler A, Elston T, Dalla Betta N, Parker KR, Yost KE, Vogel H, Rando TA, Chang HY, Johnson AM, Parker R, Olwin BB. RNA-binding proteins direct myogenic cell fate decisions. eLife 2022; 11:e75844. [PMID: 35695839 PMCID: PMC9191894 DOI: 10.7554/elife.75844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 05/20/2022] [Indexed: 11/13/2022] Open
Abstract
RNA-binding proteins (RBPs), essential for skeletal muscle regeneration, cause muscle degeneration and neuromuscular disease when mutated. Why mutations in these ubiquitously expressed RBPs orchestrate complex tissue regeneration and direct cell fate decisions in skeletal muscle remains poorly understood. Single-cell RNA-sequencing of regenerating Mus musculus skeletal muscle reveals that RBP expression, including the expression of many neuromuscular disease-associated RBPs, is temporally regulated in skeletal muscle stem cells and correlates with specific stages of myogenic differentiation. By combining machine learning with RBP engagement scoring, we discovered that the neuromuscular disease-associated RBP Hnrnpa2b1 is a differentiation-specifying regulator of myogenesis that controls myogenic cell fate transitions during terminal differentiation in mice. The timing of RBP expression specifies cell fate transitions by providing post-transcriptional regulation of messenger RNAs that coordinate stem cell fate decisions during tissue regeneration.
Collapse
Affiliation(s)
- Joshua R Wheeler
- Department of Biochemistry, University of ColoradoBoulderUnited States
- Medical Scientist Training Program, University of Colorado Anschutz Medical CampusAuroraUnited States
- Howard Hughes Medical Institute, University of ColoradoBoulderUnited States
- Department of Pathology, Stanford UniversityStanfordUnited States
- Department of Neuropathology, Stanford UniversityStanfordUnited States
| | - Oscar N Whitney
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Thomas O Vogler
- Medical Scientist Training Program, University of Colorado Anschutz Medical CampusAuroraUnited States
- Department of Molecular, Cellular and Developmental Biology, University of ColoradoBoulderUnited States
- Department of Surgery, University of ColoradoAuroraUnited States
| | - Eric D Nguyen
- Medical Scientist Training Program, University of Colorado Anschutz Medical CampusAuroraUnited States
- Molecular Biology Program and Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - Bradley Pawlikowski
- Department of Molecular, Cellular and Developmental Biology, University of ColoradoBoulderUnited States
| | - Evan Lester
- Department of Biochemistry, University of ColoradoBoulderUnited States
- Medical Scientist Training Program, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - Alicia Cutler
- Department of Molecular, Cellular and Developmental Biology, University of ColoradoBoulderUnited States
| | - Tiffany Elston
- Department of Molecular, Cellular and Developmental Biology, University of ColoradoBoulderUnited States
| | - Nicole Dalla Betta
- Department of Molecular, Cellular and Developmental Biology, University of ColoradoBoulderUnited States
| | - Kevin R Parker
- Center for Personal and Dynamic Regulomes, Stanford UniversityPalo AltoUnited States
| | - Kathryn E Yost
- Center for Personal and Dynamic Regulomes, Stanford UniversityPalo AltoUnited States
| | - Hannes Vogel
- Department of Pathology, Stanford UniversityStanfordUnited States
| | - Thomas A Rando
- Department of Neurology and Neurological Sciences, Stanford University School of MedicineStanfordUnited States
- Paul F. Glenn Center for the Biology of Aging, Stanford University School of MedicineStanfordUnited States
- Center for Tissue Regeneration, Repair, and Restoration, Veterans Affairs Palo Alto Health Care SystemPalo AltoUnited States
| | - Howard Y Chang
- Center for Personal and Dynamic Regulomes, Stanford UniversityPalo AltoUnited States
- Howard Hughes Medical Institute, Stanford UniversityStanfordUnited States
| | - Aaron M Johnson
- Molecular Biology Program and Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
- University of Colorado School of Medicine, RNA Bioscience Initiative, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - Roy Parker
- Howard Hughes Medical Institute, University of ColoradoBoulderUnited States
| | - Bradley B Olwin
- Department of Molecular, Cellular and Developmental Biology, University of ColoradoBoulderUnited States
| |
Collapse
|
40
|
Larson AA, Shams AS, McMillin SL, Sullivan BP, Vue C, Roloff ZA, Batchelor E, Kyba M, Lowe DA. Estradiol deficiency reduces the satellite cell pool by impairing cell cycle progression. Am J Physiol Cell Physiol 2022; 322:C1123-C1137. [PMID: 35442828 PMCID: PMC9169829 DOI: 10.1152/ajpcell.00429.2021] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/31/2022] [Accepted: 04/17/2022] [Indexed: 12/22/2022]
Abstract
The size of the satellite cell pool is reduced in estradiol (E2)-deficient female mice and humans. Here, we use a combination of in vivo and in vitro approaches to identify mechanisms, whereby E2 deficiency impairs satellite cell maintenance. By measuring satellite cell numbers in mice at several early time points postovariectomy (Ovx), we determine that satellite cell numbers decline by 33% between 10 and 14 days post-Ovx in tibialis anterior and gastrocnemius muscles. At 14 days post-Ovx, we demonstrate that satellite cells have a reduced propensity to transition from G0/G1 to S and G2/M phases, compared with cells from ovary-intact mice, associated with changes in two key satellite cell cycle regulators, ccna2 and p16INK4a. Further, freshly isolated satellite cells treated with E2 in vitro have 62% greater cell proliferation and require less time to complete the first division. Using clonal and differentiation assays, we measured 69% larger satellite cell colonies and enhanced satellite cell-derived myoblast differentiation with E2 treatment compared with vehicle-treated cells. Together, these results identify a novel mechanism for preservation of the satellite cell pool by E2 via promotion of satellite cell cycling.
Collapse
Affiliation(s)
- Alexie A Larson
- Department of Integrative Biology and Physiology, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Ahmed S Shams
- Lillehei Heart Institute, Medical School, University of Minnesota, Minneapolis, Minnesota
- Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota
- Human Anatomy and Embryology Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Shawna L McMillin
- Divisions of Rehabilitation Science and Physical Therapy, Department of Rehabilitation Medicine, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Brian P Sullivan
- Divisions of Rehabilitation Science and Physical Therapy, Department of Rehabilitation Medicine, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Cha Vue
- Divisions of Rehabilitation Science and Physical Therapy, Department of Rehabilitation Medicine, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Zachery A Roloff
- Divisions of Rehabilitation Science and Physical Therapy, Department of Rehabilitation Medicine, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Eric Batchelor
- Department of Integrative Biology and Physiology, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Michael Kyba
- Lillehei Heart Institute, Medical School, University of Minnesota, Minneapolis, Minnesota
- Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Dawn A Lowe
- Divisions of Rehabilitation Science and Physical Therapy, Department of Rehabilitation Medicine, Medical School, University of Minnesota, Minneapolis, Minnesota
| |
Collapse
|
41
|
Williams K, Yokomori K, Mortazavi A. Heterogeneous Skeletal Muscle Cell and Nucleus Populations Identified by Single-Cell and Single-Nucleus Resolution Transcriptome Assays. Front Genet 2022; 13:835099. [PMID: 35646075 PMCID: PMC9136090 DOI: 10.3389/fgene.2022.835099] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 03/25/2022] [Indexed: 11/13/2022] Open
Abstract
Single-cell RNA-seq (scRNA-seq) has revolutionized modern genomics, but the large size of myotubes and myofibers has restricted use of scRNA-seq in skeletal muscle. For the study of muscle, single-nucleus RNA-seq (snRNA-seq) has emerged not only as an alternative to scRNA-seq, but as a novel method providing valuable insights into multinucleated cells such as myofibers. Nuclei within myofibers specialize at junctions with other cell types such as motor neurons. Nuclear heterogeneity plays important roles in certain diseases such as muscular dystrophies. We survey current methods of high-throughput single cell and subcellular resolution transcriptomics, including single-cell and single-nucleus RNA-seq and spatial transcriptomics, applied to satellite cells, myoblasts, myotubes and myofibers. We summarize the major myonuclei subtypes identified in homeostatic and regenerating tissue including those specific to fiber type or at junctions with other cell types. Disease-specific nucleus populations were found in two muscular dystrophies, FSHD and Duchenne muscular dystrophy, demonstrating the importance of performing transcriptome studies at the single nucleus level in muscle.
Collapse
Affiliation(s)
- Katherine Williams
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, United States
- Center for Complex Biological Systems, University of California, Irvine, Irvine, CA, United States
| | - Kyoko Yokomori
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, United States
- Center for Complex Biological Systems, University of California, Irvine, Irvine, CA, United States
| |
Collapse
|
42
|
Wang J, Broer T, Chavez T, Zhou CJ, Tran S, Xiang Y, Khodabukus A, Diao Y, Bursac N. Myoblast deactivation within engineered human skeletal muscle creates a transcriptionally heterogeneous population of quiescent satellite-like cells. Biomaterials 2022; 284:121508. [PMID: 35421801 PMCID: PMC9289780 DOI: 10.1016/j.biomaterials.2022.121508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 03/18/2022] [Accepted: 04/01/2022] [Indexed: 12/19/2022]
Abstract
Satellite cells (SCs), the adult Pax7-expressing stem cells of skeletal muscle, are essential for muscle repair. However, in vitro investigations of SC function are challenging due to isolation-induced SC activation, loss of native quiescent state, and differentiation to myoblasts. In the present study, we optimized methods to deactivate in vitro expanded human myoblasts within a 3D culture environment of engineered human skeletal muscle tissues ("myobundles"). Immunostaining and gene expression analyses revealed that a fraction of myoblasts within myobundles adopted a quiescent phenotype (3D-SCs) characterized by increased Pax7 expression, cell cycle exit, and activation of Notch signaling. Similar to native SCs, 3D-SC quiescence is regulated by Notch and Wnt signaling while loss of quiescence and reactivation of 3D-SCs can be induced by growth factors including bFGF. Myobundle injury with a bee toxin, melittin, induces robust myofiber fragmentation, functional decline, and 3D-SC proliferation. By applying single cell RNA-sequencing (scRNA-seq), we discover the existence of two 3D-SC subpopulations (quiescent and activated), identify deactivation-associated gene signature using trajectory inference between 2D myoblasts and 3D-SCs, and characterize the transcriptomic changes within reactivated 3D-SCs in response to melittin-induced injury. These results demonstrate the ability of an in vitro engineered 3D human skeletal muscle environment to support the formation of a quiescent and heterogeneous SC population recapitulating several aspects of the native SC phenotype, and provide a platform for future studies of human muscle regeneration and disease-associated SC dysfunction.
Collapse
Affiliation(s)
- Jason Wang
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Torie Broer
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Taylor Chavez
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Chris J Zhou
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Sabrina Tran
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Yu Xiang
- Department of Cell Biology, Duke University, Durham, NC, USA
| | | | - Yarui Diao
- Department of Cell Biology, Duke University, Durham, NC, USA
| | - Nenad Bursac
- Department of Biomedical Engineering, Duke University, Durham, NC, USA.
| |
Collapse
|
43
|
The Vascular Niche for Adult Cardiac Progenitor Cells. Antioxidants (Basel) 2022; 11:antiox11050882. [PMID: 35624750 PMCID: PMC9137669 DOI: 10.3390/antiox11050882] [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: 03/23/2022] [Revised: 04/25/2022] [Accepted: 04/28/2022] [Indexed: 01/27/2023] Open
Abstract
Research on cardiac progenitor cell populations has generated expectations about their potential for cardiac regeneration capacity after acute myocardial infarction and during physiological aging; however, the endogenous capacity of the adult mammalian heart is limited. The modest efficacy of exogenous cell-based treatments can guide the development of new approaches that, alone or in combination, can be applied to boost clinical efficacy. The identification and manipulation of the adult stem cell environment, termed niche, will be critical for providing new evidence on adult stem cell populations and improving stem-cell-based therapies. Here, we review and discuss the state of our understanding of the interaction of adult cardiac progenitor cells with other cardiac cell populations, with a focus on the description of the B-CPC progenitor population (Bmi1+ cardiac progenitor cell), which is a strong candidate progenitor for all main cardiac cell lineages, both in the steady state and after cardiac damage. The set of all interactions should be able to define the vascular cardiac stem cell niche, which is associated with low oxidative stress domains in vasculature, and whose manipulation would offer new hope in the cardiac regeneration field.
Collapse
|
44
|
Jiang Y, Torun T, Maffioletti SM, Serio A, Tedesco FS. Bioengineering human skeletal muscle models: Recent advances, current challenges and future perspectives. Exp Cell Res 2022; 416:113133. [DOI: 10.1016/j.yexcr.2022.113133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 12/30/2021] [Accepted: 03/28/2022] [Indexed: 11/04/2022]
|
45
|
Ganassi M, Zammit PS. Involvement of muscle satellite cell dysfunction in neuromuscular disorders: Expanding the portfolio of satellite cell-opathies. Eur J Transl Myol 2022; 32:10064. [PMID: 35302338 PMCID: PMC8992676 DOI: 10.4081/ejtm.2022.10064] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 02/11/2022] [Indexed: 12/03/2022] Open
Abstract
Neuromuscular disorders are a heterogeneous group of acquired or hereditary conditions that affect striated muscle function. The resulting decrease in muscle strength and motility irreversibly impacts quality of life. In addition to directly affecting skeletal muscle, pathogenesis can also arise from dysfunctional crosstalk between nerves and muscles, and may include cardiac impairment. Muscular weakness is often progressive and paralleled by continuous decline in the ability of skeletal muscle to functionally adapt and regenerate. Normally, the skeletal muscle resident stem cells, named satellite cells, ensure tissue homeostasis by providing myoblasts for growth, maintenance, repair and regeneration. We recently defined 'Satellite Cell-opathies' as those inherited neuromuscular conditions presenting satellite cell dysfunction in muscular dystrophies and myopathies (doi:10.1016/j.yexcr.2021.112906). Here, we expand the portfolio of Satellite Cell-opathies by evaluating the potential impairment of satellite cell function across all 16 categories of neuromuscular disorders, including those with mainly neurogenic and cardiac involvement. We explore the expression dynamics of myopathogenes, genes whose mutation leads to skeletal muscle pathogenesis, using transcriptomic analysis. This revealed that 45% of myopathogenes are differentially expressed during early satellite cell activation (0 - 5 hours). Of these 271 myopathogenes, 83 respond to Pax7, a master regulator of satellite cells. Our analysis suggests possible perturbation of satellite cell function in many neuromuscular disorders across all categories, including those where skeletal muscle pathology is not predominant. This characterisation further aids understanding of pathomechanisms and informs on development of prognostic and diagnostic tools, and ultimately, new therapeutics.
Collapse
Affiliation(s)
- Massimo Ganassi
- King's College London, Randall Centre for Cell and Molecular Biophysics, Guy's Campus, London.
| | - Peter S Zammit
- King's College London, Randall Centre for Cell and Molecular Biophysics, Guy's Campus, London.
| |
Collapse
|
46
|
A Long Journey before Cycling: Regulation of Quiescence Exit in Adult Muscle Satellite Cells. Int J Mol Sci 2022; 23:ijms23031748. [PMID: 35163665 PMCID: PMC8836154 DOI: 10.3390/ijms23031748] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 01/28/2022] [Accepted: 01/30/2022] [Indexed: 02/04/2023] Open
Abstract
Skeletal muscle harbors a pool of stem cells called muscle satellite cells (MuSCs) that are mainly responsible for its robust regenerative capacities. Adult satellite cells are mitotically quiescent in uninjured muscles under homeostasis, but they exit quiescence upon injury to re-enter the cell cycle to proliferate. While most of the expanded satellites cells differentiate and fuse to form new myofibers, some undergo self-renewal to replenish the stem cell pool. Specifically, quiescence exit describes the initial transition of MuSCs from quiescence to the first cell cycle, which takes much longer than the time required for subsequent cell cycles and involves drastic changes in cell size, epigenetic and transcriptomic profiles, and metabolic status. It is, therefore, an essential period indispensable for the success of muscle regeneration. Diverse mechanisms exist in MuSCs to regulate quiescence exit. In this review, we summarize key events that occur during quiescence exit in MuSCs and discuss the molecular regulation of this process with an emphasis on multiple levels of intrinsic regulatory mechanisms. A comprehensive understanding of how quiescence exit is regulated will facilitate satellite cell-based muscle regenerative therapies and advance their applications in various disease and aging conditions.
Collapse
|
47
|
Haroon M, Boers HE, Bakker AD, Bloks NGC, Hoogaars WMH, Giordani L, Musters RJP, Deldicque L, Koppo K, Le Grand F, Klein-Nulend J, Jaspers RT. Reduced growth rate of aged muscle stem cells is associated with impaired mechanosensitivity. Aging (Albany NY) 2022; 14:28-53. [PMID: 35023852 PMCID: PMC8791224 DOI: 10.18632/aging.203830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 01/03/2022] [Indexed: 11/25/2022]
Abstract
Aging-associated muscle wasting and impaired regeneration are caused by deficiencies in muscle stem cell (MuSC) number and function. We postulated that aged MuSCs are intrinsically impaired in their responsiveness to omnipresent mechanical cues through alterations in MuSC morphology, mechanical properties, and number of integrins, culminating in impaired proliferative capacity. Here we show that aged MuSCs exhibited significantly lower growth rate and reduced integrin-α7 expression as well as lower number of phospho-paxillin clusters than young MuSCs. Moreover, aged MuSCs were less firmly attached to matrigel-coated glass substrates compared to young MuSCs, as 43% of the cells detached in response to pulsating fluid shear stress (1 Pa). YAP nuclear localization was 59% higher than in young MuSCs, yet YAP target genes Cyr61 and Ctgf were substantially downregulated. When subjected to pulsating fluid shear stress, aged MuSCs exhibited reduced upregulation of proliferation-related genes. Together these results indicate that aged MuSCs exhibit impaired mechanosensitivity and growth potential, accompanied by altered morphology and mechanical properties as well as reduced integrin-α7 expression. Aging-associated impaired muscle regenerative capacity and muscle wasting is likely due to aging-induced intrinsic MuSC alterations and dysfunctional mechanosensitivity.
Collapse
Affiliation(s)
- Mohammad Haroon
- Laboratory for Myology, Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam 1081 HZ, The Netherlands
| | - Heleen E Boers
- Laboratory for Myology, Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam 1081 HZ, The Netherlands
| | - Astrid D Bakker
- Department of Oral Cell Biology, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam 1081 LA, The Netherlands
| | - Niek G C Bloks
- Laboratory for Myology, Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam 1081 HZ, The Netherlands
| | - Willem M H Hoogaars
- Laboratory for Myology, Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam 1081 HZ, The Netherlands
| | - Lorenzo Giordani
- Sorbonne Université, INSERM UMRS974, Center for Research in Myology, Paris 75013, France
| | - René J P Musters
- Department of Physiology, Amsterdam University Medical Center VUmc, Amsterdam Cardiovascular Sciences, Amsterdam 1081 HZ, The Netherlands
| | - Louise Deldicque
- Institute of Neuroscience, Université Catholique de Louvain, Louvain-la-Neuve 1348, Belgium
| | - Katrien Koppo
- Exercise Physiology Research Group, Department of Movement Sciences, KU Leuven, Leuven 3001, Belgium
| | - Fabien Le Grand
- Faculty of Medicine and Pharmacy, NeuroMyoGène UCBL-CNRS UMR 5310, INSERM U1217, Lyon 69008, France
| | - Jenneke Klein-Nulend
- Department of Oral Cell Biology, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam 1081 LA, The Netherlands
| | - Richard T Jaspers
- Laboratory for Myology, Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam 1081 HZ, The Netherlands
| |
Collapse
|
48
|
Chien P, Xi H, Pyle AD. Recapitulating human myogenesis ex vivo using human pluripotent stem cells. Exp Cell Res 2021; 411:112990. [PMID: 34973262 DOI: 10.1016/j.yexcr.2021.112990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 12/15/2021] [Accepted: 12/22/2021] [Indexed: 11/25/2022]
Abstract
Human pluripotent stem cells (hPSCs) provide a human model for developmental myogenesis, disease modeling and development of therapeutics. Differentiation of hPSCs into muscle stem cells has the potential to provide a cell-based therapy for many skeletal muscle wasting diseases. This review describes the current state of hPSCs towards recapitulating human myogenesis ex vivo, considerations of stem cell and progenitor cell state as well as function for future use of hPSC-derived muscle cells in regenerative medicine.
Collapse
Affiliation(s)
- Peggie Chien
- Department of Microbiology, Immunology and Molecular Genetics, Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
| | - Haibin Xi
- Department of Microbiology, Immunology and Molecular Genetics, Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
| | - April D Pyle
- Department of Microbiology, Immunology and Molecular Genetics, Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA.
| |
Collapse
|
49
|
Moyle LA, Davoudi S, Gilbert PM. Innovation in culture systems to study muscle complexity. Exp Cell Res 2021; 411:112966. [PMID: 34906582 DOI: 10.1016/j.yexcr.2021.112966] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 10/31/2021] [Accepted: 12/04/2021] [Indexed: 11/19/2022]
Abstract
Endogenous skeletal muscle development, regeneration, and pathology are extremely complex processes, influenced by local and systemic factors. Unpinning how these mechanisms function is crucial for fundamental biology and to develop therapeutic interventions for genetic disorders, but also conditions like sarcopenia and volumetric muscle loss. Ex vivo skeletal muscle models range from two- and three-dimensional primary cultures of satellite stem cell-derived myoblasts grown alone or in co-culture, to single muscle myofibers, myobundles, and whole tissues. Together, these systems provide the opportunity to gain mechanistic insights of stem cell behavior, cell-cell interactions, and mature muscle function in simplified systems, without confounding variables. Here, we highlight recent advances (published in the last 5 years) using in vitro primary cells and ex vivo skeletal muscle models, and summarize the new insights, tools, datasets, and screening methods they have provided. Finally, we highlight the opportunity for exponential advance of skeletal muscle knowledge, with spatiotemporal resolution, that is offered by guiding the study of muscle biology and physiology with in silico modelling and implementing high-content cell biology systems and ex vivo physiology platforms.
Collapse
Affiliation(s)
- Louise A Moyle
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada
| | - Sadegh Davoudi
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada
| | - Penney M Gilbert
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON, M5S 1A8, Canada.
| |
Collapse
|
50
|
Fujii T, Maehara K, Fujita M, Ohkawa Y. Discriminative feature of cells characterizes cell populations of interest by a small subset of genes. PLoS Comput Biol 2021; 17:e1009579. [PMID: 34797848 PMCID: PMC8641884 DOI: 10.1371/journal.pcbi.1009579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 12/03/2021] [Accepted: 10/19/2021] [Indexed: 12/13/2022] Open
Abstract
Organisms are composed of various cell types with specific states. To obtain a comprehensive understanding of the functions of organs and tissues, cell types have been classified and defined by identifying specific marker genes. Statistical tests are critical for identifying marker genes, which often involve evaluating differences in the mean expression levels of genes. Differentially expressed gene (DEG)-based analysis has been the most frequently used method of this kind. However, in association with increases in sample size such as in single-cell analysis, DEG-based analysis has faced difficulties associated with the inflation of P-values. Here, we propose the concept of discriminative feature of cells (DFC), an alternative to using DEG-based approaches. We implemented DFC using logistic regression with an adaptive LASSO penalty to perform binary classification for discriminating a population of interest and variable selection to obtain a small subset of defining genes. We demonstrated that DFC prioritized gene pairs with non-independent expression using artificial data and that DFC enabled characterization of the muscle satellite/progenitor cell population. The results revealed that DFC well captured cell-type-specific markers, specific gene expression patterns, and subcategories of this cell population. DFC may complement DEG-based methods for interpreting large data sets. DEG-based analysis uses lists of genes with differences in expression between groups, while DFC, which can be termed a discriminative approach, has potential applications in the task of cell characterization. Upon recent advances in the high-throughput analysis of single cells, methods of cell characterization such as scRNA-seq can be effectively subjected to the discriminative methods. Statistical methods for detecting differences in individual gene expression are indispensable for understanding cell types. However, conventional statistical methods, such as differentially expressed gene (DEG)-based analysis, have faced difficulties associated with the inflation of P-values because of both the large sample size and selection bias introduced by exploratory data analysis such as single-cell transcriptomics. Here, we propose the concept of discriminative feature of cells (DFC), an alternative to using DEG-based approaches. We implemented DFC using logistic regression with an adaptive LASSO penalty to perform binary classification for the discrimination of a population of interest and variable selection to obtain a small subset of defining genes. We demonstrated that DFC prioritized gene pairs with non-independent expression using artificial data, and that it enabled characterization of the muscle satellite/progenitor cell population. The results revealed that DFC well captured cell-type-specific markers, specific gene expression patterns, and subcategories of this cell population. DFC may complement differentially expressed gene-based methods for interpreting large data sets.
Collapse
Affiliation(s)
- Takeru Fujii
- Division of Transcriptomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
- Department of Cellular Biochemistry, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazumitsu Maehara
- Division of Transcriptomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
- * E-mail: (KM); (YO)
| | - Masatoshi Fujita
- Department of Cellular Biochemistry, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuyuki Ohkawa
- Division of Transcriptomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
- * E-mail: (KM); (YO)
| |
Collapse
|