1
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García-García VA, Alameda JP, Fernández-Aceñero MJ, Navarro M, García-Escudero R, Page A, Mateo-Gallego R, Paramio JM, Ramírez Á, García-Fernández RA, Bravo A, Casanova ML. Nuclear versus cytoplasmic IKKα signaling in keratinocytes leads to opposite skin phenotypes and inflammatory responses, and a different predisposition to cancer. Oncogene 2025; 44:165-178. [PMID: 39511409 PMCID: PMC11725495 DOI: 10.1038/s41388-024-03203-0] [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: 11/20/2023] [Revised: 10/15/2024] [Accepted: 10/17/2024] [Indexed: 11/15/2024]
Abstract
IKKα is known as an essential protein for skin homeostasis. However, the lack of suitable models to investigate its functions in the skin has led to IKKα being mistakenly considered as a suppressor of non-melanoma skin cancer (NMSC) development. In this study, using our previously generated transgenic mouse models expressing exogenous IKKα in the cytoplasm (C-IKKα mice) or in the nucleus (N-IKKα mice) of basal keratinocytes, we demonstrate that at each subcellular localization, IKKα differently regulates signaling pathways important for maintaining the balance between keratinocyte proliferation and differentiation, and for the cutaneous inflammatory response. In addition, each type of IKKα-transgenic mice shows different predisposition to the development of spontaneous NMSC. Specifically, N-IKKα mice display an atrophic epidermis with exacerbated terminal differentiation, signs of premature skin aging, premalignant lesions, and develop squamous cell carcinomas (SCCs). Conversely, C-IKKα mice, whose keratinocytes are nearly devoid of endogenous nuclear IKKα, do not develop skin SCCs, although they exhibit hyperplastic skin with deficiencies in terminal epidermal differentiation, chronic cutaneous inflammation, and constitutive activation of STAT-3 and NF-κB signaling pathways. Altogether, our data demonstrate that alterations in the localization of IKKα in the nucleus or cytoplasm of keratinocytes cause opposite skin changes and differentially predispose to the growth of skin SCCs.
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Affiliation(s)
- Verónica A García-García
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain
| | - Josefa P Alameda
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain
| | | | - Manuel Navarro
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain
| | - Ramón García-Escudero
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain
| | - Angustias Page
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain
| | - Raúl Mateo-Gallego
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain
| | - Jesús M Paramio
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain
| | - Ángel Ramírez
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain
| | - Rosa A García-Fernández
- Department of Animal Medicine and Surgery, Facultad de Veterinaria, UCM, 28040, Madrid, Spain
| | - Ana Bravo
- Department of Anatomy, Animal Production and Veterinary Clinical Sciences, Faculty of Veterinary Medicine, University of Santiago de Compostela, Lugo, Spain
| | - M Llanos Casanova
- Molecular and Translational Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avda. Complutense 40, 28040, Madrid, Spain.
- Biomedical Research Institute, University Hospital "12 de Octubre", 28041, Madrid, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain.
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2
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Vazquez JM, Lauterbur ME, Mottaghinia S, Bucci M, Fraser D, Gray-Sandoval G, Gaucherand L, Haidar ZR, Han M, Kohler W, Lama TM, Le Corf A, Loyer C, Maesen S, McMillan D, Li S, Lo J, Rey C, Capel SLR, Singer M, Slocum K, Thomas W, Tyburec JD, Villa S, Miller R, Buchalski M, Vazquez-Medina JP, Pfeffer S, Etienne L, Enard D, Sudmant PH. Extensive longevity and DNA virus-driven adaptation in nearctic Myotis bats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.10.617725. [PMID: 39416019 PMCID: PMC11482938 DOI: 10.1101/2024.10.10.617725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
The genus Myotis is one of the largest clades of bats, and exhibits some of the most extreme variation in lifespans among mammals alongside unique adaptations to viral tolerance and immune defense. To study the evolution of longevity-associated traits and infectious disease, we generated near-complete genome assemblies and cell lines for 8 closely related species of Myotis. Using genome-wide screens of positive selection, analyses of structural variation, and functional experiments in primary cell lines, we identify new patterns of adaptation contributing to longevity, cancer resistance, and viral interactions in bats. We find that Myotis bats have some of the most significant variation in cancer risk across mammals and demonstrate a unique DNA damage response in primary cells of the long-lived M. lucifugus. We also find evidence of abundant adaptation in response to DNA viruses - but not RNA viruses - in Myotis and other bats in sharp contrast with other mammals, potentially contributing to the role of bats as reservoirs of zoonoses. Together, our results demonstrate how genomics and primary cells derived from diverse taxa uncover the molecular bases of extreme adaptations in non-model organisms.
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Affiliation(s)
- Juan M Vazquez
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA USA
- These authors contributed equally
| | - M. Elise Lauterbur
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ USA
- Current affiliation: Department of Biology, University of Vermont, Burlington, VT USA
- These authors contributed equally
| | - Saba Mottaghinia
- Centre International de Recherche en Infectiologie (CIRI), Inserm U1111, UCBL1, CNRS UMR5308, Ecole Normale Supérieure ENS de Lyon, Université de Lyon, Lyon, France
| | - Melanie Bucci
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ USA
| | - Devaughn Fraser
- Wildlife Genetics Research Unit, Wildlife Health Laboratory, California Department of Fish and Wildlife, Sacramento, CA, United States
- Current affiliation: Wildlife Diversity Program, Wildlife Division, Connecticut Department of Energy and Environmental Protection, Burlington, CT, United States
| | | | - Léa Gaucherand
- Université de Strasbourg, Architecture et Réactivité de l’ARN, Institut de Biologie Moléculaire et Cellulaire du CNRS, Strasbourg, France
| | - Zeinab R Haidar
- Department of Biology, California State Polytechnic University, Humboldt, Arcata, CA USA
- Current affiliation: Western EcoSystems Technology Inc, Cheyenne, WY USA
| | - Melissa Han
- Department of Pathology and Clinical Laboratories, University of Michigan, Ann Arbor, MI USA
| | - William Kohler
- Department of Pathology and Clinical Laboratories, University of Michigan, Ann Arbor, MI USA
| | - Tanya M. Lama
- Department of Biological Sciences, Smith College, Northampton, MA USA
| | - Amandine Le Corf
- Centre International de Recherche en Infectiologie (CIRI), Inserm U1111, UCBL1, CNRS UMR5308, Ecole Normale Supérieure ENS de Lyon, Université de Lyon, Lyon, France
| | - Clara Loyer
- Centre International de Recherche en Infectiologie (CIRI), Inserm U1111, UCBL1, CNRS UMR5308, Ecole Normale Supérieure ENS de Lyon, Université de Lyon, Lyon, France
| | - Sarah Maesen
- Centre International de Recherche en Infectiologie (CIRI), Inserm U1111, UCBL1, CNRS UMR5308, Ecole Normale Supérieure ENS de Lyon, Université de Lyon, Lyon, France
| | - Dakota McMillan
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA USA
- Department of Science and Biotechnology, Berkeley City College, Berkeley, CA USA
| | - Stacy Li
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA USA
| | - Johnathan Lo
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA USA
| | - Carine Rey
- Centre International de Recherche en Infectiologie (CIRI), Inserm U1111, UCBL1, CNRS UMR5308, Ecole Normale Supérieure ENS de Lyon, Université de Lyon, Lyon, France
| | - Samantha LR Capel
- Current affiliation: Wildlife Diversity Program, Wildlife Division, Connecticut Department of Energy and Environmental Protection, Burlington, CT, United States
| | - Michael Singer
- Department of Molecular and Cellular Biology, University of California, Berkeley, Berkeley, CA USA
| | | | - William Thomas
- Department of Ecology and Evolution, Stony Brook University, Stony Brook NY USA
| | | | - Sarah Villa
- Department of Molecular and Cellular Biology, University of California, Berkeley, Berkeley, CA USA
| | - Richard Miller
- Department of Pathology and Clinical Laboratories, University of Michigan, Ann Arbor, MI USA
| | - Michael Buchalski
- Wildlife Genetics Research Unit, Wildlife Health Laboratory, California Department of Fish and Wildlife, Sacramento, CA, United States
| | | | - Sébastien Pfeffer
- Université de Strasbourg, Architecture et Réactivité de l’ARN, Institut de Biologie Moléculaire et Cellulaire du CNRS, Strasbourg, France
| | - Lucie Etienne
- Centre International de Recherche en Infectiologie (CIRI), Inserm U1111, UCBL1, CNRS UMR5308, Ecole Normale Supérieure ENS de Lyon, Université de Lyon, Lyon, France
- Senior author
| | - David Enard
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ USA
- Senior author
- These authors contributed equally
| | - Peter H Sudmant
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA USA
- Senior author
- These authors contributed equally
- Lead contact
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3
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Mozin E, Massouridès E, Mournetas V, Lièvre C, Bourdon A, Jackson DL, Packer JS, Seong J, Trapnell C, Le Guiner C, Adjali O, Pinset C, Mack DL, Dupont JB. Dystrophin deficiency impairs cell junction formation during embryonic myogenesis from pluripotent stem cells. iScience 2024; 27:110242. [PMID: 39040067 PMCID: PMC11261405 DOI: 10.1016/j.isci.2024.110242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 05/02/2024] [Accepted: 06/07/2024] [Indexed: 07/24/2024] Open
Abstract
Mutations in the DMD gene lead to Duchenne muscular dystrophy (DMD), a severe neuromuscular disorder affecting young boys as they acquire motor functions. DMD is typically diagnosed at 2-4 years of age, but the absence of dystrophin has negative impacts on skeletal muscles before overt symptoms appear in patients, which poses a serious challenge in current standards of care. Here, we investigated the consequences of dystrophin deficiency during skeletal muscle development. We used single-cell transcriptome profiling to characterize the myogenic trajectory of human pluripotent stem cells and showed that DMD cells bifurcate to an alternative branch when they reach the somite stage. Dystrophin deficiency was linked to marked dysregulations of cell junction proteins involved in the cell state transitions characteristic of embryonic somitogenesis. Altogether, this work demonstrates that in vitro, dystrophin deficiency has deleterious effects on cell-cell communication during myogenic development, which should be considered in future therapeutic strategies for DMD.
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Affiliation(s)
- Elise Mozin
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | | | | | - Clémence Lièvre
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Audrey Bourdon
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Dana L. Jackson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Jonathan S. Packer
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Juyoung Seong
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea
- Institute for Stem Cell and Regenerative Medicine, Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98109, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | | | - Oumeya Adjali
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Christian Pinset
- Centre d’Etude des Cellules Souches, I-Stem, AFM, F-91100 Corbeil-Essonnes, France
| | - David L. Mack
- Institute for Stem Cell and Regenerative Medicine, Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98109, USA
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4
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Gao SM, Qi Y, Zhang Q, Guan Y, Lee YT, Ding L, Wang L, Mohammed AS, Li H, Fu Y, Wang MC. Aging atlas reveals cell-type-specific effects of pro-longevity strategies. NATURE AGING 2024; 4:998-1013. [PMID: 38816550 PMCID: PMC11257944 DOI: 10.1038/s43587-024-00631-1] [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: 04/12/2023] [Accepted: 04/10/2024] [Indexed: 06/01/2024]
Abstract
Organismal aging involves functional declines in both somatic and reproductive tissues. Multiple strategies have been discovered to extend lifespan across species. However, how age-related molecular changes differ among various tissues and how those lifespan-extending strategies slow tissue aging in distinct manners remain unclear. Here we generated the transcriptomic Cell Atlas of Worm Aging (CAWA, http://mengwanglab.org/atlas ) of wild-type and long-lived strains. We discovered cell-specific, age-related molecular and functional signatures across all somatic and germ cell types. We developed transcriptomic aging clocks for different tissues and quantitatively determined how three different pro-longevity strategies slow tissue aging distinctively. Furthermore, through genome-wide profiling of alternative polyadenylation (APA) events in different tissues, we discovered cell-type-specific APA changes during aging and revealed how these changes are differentially affected by the pro-longevity strategies. Together, this study offers fundamental molecular insights into both somatic and reproductive aging and provides a valuable resource for in-depth understanding of the diversity of pro-longevity mechanisms.
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Affiliation(s)
- Shihong Max Gao
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
- Program in Developmental Biology, Baylor College of Medicine, Houston, TX, USA
| | - Yanyan Qi
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA
| | - Qinghao Zhang
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA
| | - Youchen Guan
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
- Molecular and Cellular Biology Graduate Program, Baylor College of Medicine, Houston, TX, USA
| | - Yi-Tang Lee
- Integrative Program of Molecular and Biochemical Science, Baylor College of Medicine, Houston, TX, USA
| | - Lang Ding
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
- Graduate Program in Chemical, Physical & Structural Biology, Graduate School of Biomedical Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Lihua Wang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Aaron S Mohammed
- Department of Biomedical Sciences, Creighton University School of Medicine, Omaha, NE, USA
| | - Hongjie Li
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Yusi Fu
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA.
- Department of Biomedical Sciences, Creighton University School of Medicine, Omaha, NE, USA.
| | - Meng C Wang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
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5
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Zhra M, Magableh AM, Samhan LM, Fatani LM, Qasem RJ, Aljada A. The Expression of a Subset of Aging and Antiaging Markers Following the Chondrogenic and Osteogenic Differentiation of Mesenchymal Stem Cells of Placental Origin. Cells 2024; 13:1022. [PMID: 38920652 PMCID: PMC11201886 DOI: 10.3390/cells13121022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/05/2024] [Accepted: 06/07/2024] [Indexed: 06/27/2024] Open
Abstract
Mesenchymal stem cells (MSCs) of placental origin hold great promise in tissue engineering and regenerative medicine for diseases affecting cartilage and bone. However, their utility has been limited by their tendency to undergo premature senescence and phenotypic drift into adipocytes. This study aimed to explore the potential involvement of a specific subset of aging and antiaging genes by measuring their expression prior to and following in vitro-induced differentiation of placental MSCs into chondrocytes and osteoblasts as opposed to adipocytes. The targeted genes of interest included the various LMNA/C transcript variants (lamin A, lamin C, and lamin A∆10), sirtuin 7 (SIRT7), and SM22α, along with the classic aging markers plasminogen activator inhibitor 1 (PAI-1), p53, and p16INK4a. MSCs were isolated from the decidua basalis of human term placentas, expanded, and then analyzed for phenotypic properties by flow cytometry and evaluated for colony-forming efficiency. The cells were then induced to differentiate in vitro into chondrocytes, osteocytes, and adipocytes following established protocols. The mRNA expression of the targeted genes was measured by RT-qPCR in the undifferentiated cells and those fully differentiated into the three cellular lineages. Compared to undifferentiated cells, the differentiated chondrocytes demonstrated decreased expression of SIRT7, along with decreased PAI-1, lamin A, and SM22α expression, but the expression of p16INK4a and p53 increased, suggesting their tendency to undergo premature senescence. Interestingly, the cells maintained the expression of lamin C, which indicates that it is the primary lamin variant influencing the mechanoelastic properties of the differentiated cells. Notably, the expression of all targeted genes did not differ from the undifferentiated cells following osteogenic differentiation. On the other hand, the differentiation of the cells into adipocytes was associated with decreased expression of lamin A and PAI-1. The distinct patterns of expression of aging and antiaging genes following in vitro-induced differentiation of MSCs into chondrocytes, osteocytes, and adipocytes potentially reflect specific roles for these genes during and following differentiation in the fully functional cells. Understanding these roles and the network of signaling molecules involved can open opportunities to improve the handling and utility of MSCs as cellular precursors for the treatment of cartilage and bone diseases.
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Affiliation(s)
- Mahmoud Zhra
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Ahmad M. Magableh
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Lara M. Samhan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Lein M. Fatani
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Rani J. Qasem
- Department of Pharmacology and Pharmacy Practice, College of Pharmacy, Middle East University, Amman 11831, Jordan
| | - Ahmad Aljada
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
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6
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Duran P, Yang BA, Plaster E, Eiken M, Loebel C, Aguilar CA. Tracking of Nascent Matrix Deposition during Muscle Stem Cell Activation across Lifespan Using Engineered Hydrogels. Adv Biol (Weinh) 2024; 8:e2400091. [PMID: 38616175 DOI: 10.1002/adbi.202400091] [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: 02/18/2024] [Revised: 03/22/2024] [Indexed: 04/16/2024]
Abstract
Adult stem cells occupy a niche that contributes to their function, but how stem cells rebuild their microenvironment after injury remains an open-ended question. Herein, biomaterial-based systems and metabolic labeling are utilized to evaluate how skeletal muscle stem cells deposit extracellular matrix. Muscle stem cells and committed myoblasts are observed to generate less nascent matrix than muscle resident fibro-adipogenic progenitors. When cultured on substrates that matched the stiffness of physiological uninjured and injured muscles, muscle stem cells increased nascent matrix deposition with activation kinetics. Reducing the ability to deposit nascent matrix by an inhibitor of vesicle trafficking (Exo-1) attenuated muscle stem cell function and mimicked impairments observed from muscle stem cells isolated from old muscles. Old muscle stem cells are observed to deposit less nascent matrix than young muscle stem cells, which is rescued with therapeutic supplementation of insulin-like growth factors. These results highlight the role of nascent matrix production with muscle stem cell activation.
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Affiliation(s)
- Pamela Duran
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
- BioInterfaces Institute, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Benjamin A Yang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
- BioInterfaces Institute, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Eleanor Plaster
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Madeline Eiken
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Claudia Loebel
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Materials Science & Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Carlos A Aguilar
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
- BioInterfaces Institute, University of Michigan, Ann Arbor, MI, 48109, USA
- Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, MI, 48109, USA
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7
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Mozin E, Massouridès E, Mournetas V, Lièvre C, Bourdon A, Jackson DL, Packer JS, Seong J, Trapnell C, Le Guiner C, Adjali O, Pinset C, Mack DL, Dupont JB. Dystrophin deficiency impairs cell junction formation during embryonic myogenesis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.05.569919. [PMID: 38106055 PMCID: PMC10723310 DOI: 10.1101/2023.12.05.569919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Mutations in the DMD gene lead to Duchenne muscular dystrophy, a severe X-linked neuromuscular disorder that manifests itself as young boys acquire motor functions. DMD is typically diagnosed at 2 to 4 years of age, but the absence of dystrophin negatively impacts muscle structure and function before overt symptoms appear in patients, which poses a serious challenge in the optimization of standards of care. In this report, we investigated the early consequences of dystrophin deficiency during skeletal muscle development. We used single-cell transcriptome profiling to characterize the myogenic trajectory of human pluripotent stem cells and showed that DMD cells bifurcate to an alternative branch when they reach the somite stage. Here, dystrophin deficiency was linked to marked dysregulations of cell junction protein families involved in the cell state transitions characteristic of embryonic somitogenesis. Altogether, this work demonstrates that in vitro, dystrophin deficiency has deleterious effects on cell-cell communication during myogenic development, which should be considered in future therapeutic strategies for DMD.
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Affiliation(s)
- Elise Mozin
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | | | | | - Clémence Lièvre
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Audrey Bourdon
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Jonathan S Packer
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Juyoung Seong
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea
- Institute for Stem Cell and Regenerative Medicine, Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98109, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | | | - Oumeya Adjali
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Christian Pinset
- Centre d’Etude des Cellules Souches, I-Stem, AFM, F-91100 Corbeil-Essonnes, France
| | - David L Mack
- Institute for Stem Cell and Regenerative Medicine, Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98109, USA
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8
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Xu HR, Le VV, Oprescu SN, Kuang S. Muscle stem cells as immunomodulator during regeneration. Curr Top Dev Biol 2024; 158:221-238. [PMID: 38670707 PMCID: PMC11801201 DOI: 10.1016/bs.ctdb.2024.01.010] [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
The skeletal muscle is well known for its remarkable ability to regenerate after injuries. The regeneration is a complex and dynamic process that involves muscle stem cells (also called muscle satellite cells, MuSCs), fibro-adipogenic progenitors (FAPs), immune cells, and other muscle-resident cell populations. The MuSCs are the myogenic cell populaiton that contribute nuclei directly to the regenerated myofibers, while the other cell types collaboratively establish a microenvironment that facilitates myogenesis of MuSCs. The myogenic process includes activation, proliferation and differentiationof MuSCs, and subsequent fusion their descendent mononuclear myocytes into multinuclear myotubes. While the contributions of FAPs and immune cells to this microenvironment have been well studied, the influence of MuSCs on other cell types remains poorly understood. This review explores recent evidence supporting the potential role of MuSCs as immunomodulators during muscle regeneration, either through cytokine production or ligand-receptor interactions.
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Affiliation(s)
- H Rex Xu
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
| | - Victor V Le
- Department of Biological Sciences, Purdue University, West Lafayette, IN, United States
| | - Stephanie N Oprescu
- Department of Biological Sciences, Purdue University, West Lafayette, IN, United States
| | - Shihuan Kuang
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States; Purdue University Institute for Cancer Research, West Lafayette, IN, United States.
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9
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Duran P, Yang BA, Plaster E, Eiken M, Loebel C, Aguilar CA. Quantification of local matrix deposition during muscle stem cell activation using engineered hydrogels. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.20.576326. [PMID: 38328131 PMCID: PMC10849481 DOI: 10.1101/2024.01.20.576326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Adult stem cells occupy a niche that contributes to their function, but how stem cells remodel their microenvironment remains an open-ended question. Herein, biomaterials-based systems and metabolic labeling were utilized to evaluate how skeletal muscle stem cells deposit extracellular matrix. Muscle stem cells and committed myoblasts were observed to generate less nascent matrix than muscle resident fibro-adipogenic progenitors. When cultured on substrates that matched the stiffness of physiological uninjured and injured muscles, the increased nascent matrix deposition was associated with stem cell activation. Reducing the ability to deposit nascent matrix in muscle stem cells attenuated function and mimicked impairments observed from muscle stem cells isolated from old aged muscles, which could be rescued with therapeutic supplementation of insulin-like growth factors. These results highlight how nascent matrix production is critical for maintaining healthy stem cell function.
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Affiliation(s)
- Pamela Duran
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- BioInterfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Benjamin A. Yang
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- BioInterfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Eleanor Plaster
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Madeline Eiken
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Claudia Loebel
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Dept. of Materials Science & Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Carlos A. Aguilar
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- BioInterfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
- Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, MI 48109, USA
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10
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Yu D, Li M, Linghu G, Hu Y, Hajdarovic KH, Wang A, Singh R, Webb AE. CellBiAge: Improved single-cell age classification using data binarization. Cell Rep 2023; 42:113500. [PMID: 38032797 PMCID: PMC10791072 DOI: 10.1016/j.celrep.2023.113500] [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: 05/04/2023] [Revised: 10/20/2023] [Accepted: 11/13/2023] [Indexed: 12/02/2023] Open
Abstract
Aging is a major risk factor for many diseases. Accurate methods for predicting age in specific cell types are essential to understand the heterogeneity of aging and to assess rejuvenation strategies. However, classifying organismal age at single-cell resolution using transcriptomics is challenging due to sparsity and noise. Here, we developed CellBiAge, a robust and easy-to-implement machine learning pipeline, to classify the age of single cells in the mouse brain using single-cell transcriptomics. We show that binarization of gene expression values for the top highly variable genes significantly improved test performance across different models, techniques, sexes, and brain regions, with potential age-related genes identified for model prediction. Additionally, we demonstrate CellBiAge's ability to capture exercise-induced rejuvenation in neural stem cells. This study provides a broadly applicable approach for robust classification of organismal age of single cells in the mouse brain, which may aid in understanding the aging process and evaluating rejuvenation methods.
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Affiliation(s)
- Doudou Yu
- Molecular Biology, Cell Biology, and Biochemistry Graduate Program, Brown University, Providence, RI 02912, USA; Data Science Institute, Brown University, Providence, RI 02912, USA
| | - Manlin Li
- Data Science Institute, Brown University, Providence, RI 02912, USA
| | - Guanjie Linghu
- Data Science Institute, Brown University, Providence, RI 02912, USA
| | - Yihuan Hu
- Data Science Institute, Brown University, Providence, RI 02912, USA
| | | | - An Wang
- Department of Applied Mathematics & Statistics, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Ritambhara Singh
- Department of Computer Science, Brown University, Providence, RI 02912, USA; Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA.
| | - Ashley E Webb
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI 02912, USA; Center on the Biology of Aging, Brown University, Providence, RI 02912, USA; Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA; Center for Translational Neuroscience, Brown University, Providence, RI 02912, USA.
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11
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Yavuz BR, Arici MK, Demirel HC, Tsai CJ, Jang H, Nussinov R, Tuncbag N. Neurodevelopmental disorders and cancer networks share pathways, but differ in mechanisms, signaling strength, and outcome. NPJ Genom Med 2023; 8:37. [PMID: 37925498 PMCID: PMC10625621 DOI: 10.1038/s41525-023-00377-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 10/02/2023] [Indexed: 11/06/2023] Open
Abstract
Epidemiological studies suggest that individuals with neurodevelopmental disorders (NDDs) are more prone to develop certain types of cancer. Notably, however, the case statistics can be impacted by late discovery of cancer in individuals afflicted with NDDs, such as intellectual disorders, autism, and schizophrenia, which may bias the numbers. As to NDD-associated mutations, in most cases, they are germline while cancer mutations are sporadic, emerging during life. However, somatic mosaicism can spur NDDs, and cancer-related mutations can be germline. NDDs and cancer share proteins, pathways, and mutations. Here we ask (i) exactly which features they share, and (ii) how, despite their commonalities, they differ in clinical outcomes. To tackle these questions, we employed a statistical framework followed by network analysis. Our thorough exploration of the mutations, reconstructed disease-specific networks, pathways, and transcriptome levels and profiles of autism spectrum disorder (ASD) and cancers, point to signaling strength as the key factor: strong signaling promotes cell proliferation in cancer, and weaker (moderate) signaling impacts differentiation in ASD. Thus, we suggest that signaling strength, not activating mutations, can decide clinical outcome.
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Affiliation(s)
- Bengi Ruken Yavuz
- Graduate School of Informatics, Middle East Technical University, Ankara, 06800, Turkey
- Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD, 21702, USA
| | - M Kaan Arici
- Graduate School of Informatics, Middle East Technical University, Ankara, 06800, Turkey
| | - Habibe Cansu Demirel
- Graduate School of Sciences and Engineering, Koc University, Istanbul, 34450, Turkey
| | - Chung-Jung Tsai
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD, 21702, USA
| | - Hyunbum Jang
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD, 21702, USA
| | - Ruth Nussinov
- Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD, 21702, USA.
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel.
| | - Nurcan Tuncbag
- Chemical and Biological Engineering, College of Engineering, Koc University, Istanbul, Turkey.
- School of Medicine, Koc University, Istanbul, 34450, Turkey.
- Koc University Research Center for Translational Medicine (KUTTAM), Istanbul, Turkey.
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12
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Baumann CW, Deane CS, Etheridge T, Szewczyk NJ, Willis CRG, Lowe DA. Adaptability to eccentric exercise training is diminished with age in female mice. J Appl Physiol (1985) 2023; 135:1135-1145. [PMID: 37823203 PMCID: PMC10979833 DOI: 10.1152/japplphysiol.00428.2023] [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] [Revised: 10/02/2023] [Accepted: 10/03/2023] [Indexed: 10/13/2023] Open
Abstract
The ability of skeletal muscle to adapt to eccentric contractions has been suggested to be blunted in older muscle. If eccentric exercise is to be a safe and efficient training mode for older adults, preclinical studies need to establish if older muscle can effectively adapt and if not, determine the molecular signatures that are causing this impairment. The purpose of this study was to quantify the extent age impacts functional adaptations of muscle and identify genetic signatures associated with adaptation (or lack thereof). The anterior crural muscles of young (4 mo) and older (28 mo) female mice performed repeated bouts of eccentric contractions in vivo (50 contractions/wk for 5 wk) and isometric torque was measured across the initial and final bouts. Transcriptomics was completed by RNA-sequencing 1 wk following the fifth bout to identify common and differentially regulated genes. When torques post eccentric contractions were compared after the first and fifth bouts, young muscle exhibited a robust ability to adapt, increasing isometric torque 20%-36%, whereas isometric torque of older muscle decreased up to 18% (P ≤ 0.047). Using differential gene expression, young and older muscles shared some common transcriptional changes in response to eccentric exercise training, whereas other transcripts appeared to be age dependent. That is, the ability to express particular genes after repeated bouts of eccentric contractions was not the same between ages. These molecular signatures may reveal, in part, why older muscles do not appear to be as adaptive to exercise training as young muscles.NEW & NOTEWORTHY The ability to adapt to exercise training may help prevent and combat sarcopenia. Here, we demonstrate young mouse muscles get stronger whereas older mouse muscles become weaker after repeated bouts of eccentric contractions, and that numerous genes were differentially expressed between age groups following training. These results highlight that molecular and functional plasticity is not fixed in skeletal muscle with advancing age, and the ability to handle or cope with physical stress may be impaired.
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Affiliation(s)
- Cory W Baumann
- Ohio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, Ohio, United States
- Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, United States
| | - Colleen S Deane
- Faculty of Life Sciences, Department of Public Health and Sport Sciences, University of Exeter, Exeter, United Kingdom
- Faculty of Medicine, Department of Human Development & Health, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
| | - Timothy Etheridge
- Faculty of Life Sciences, Department of Public Health and Sport Sciences, University of Exeter, Exeter, United Kingdom
| | - Nathaniel J Szewczyk
- Ohio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, Ohio, United States
- Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, United States
| | - Craig R G Willis
- Ohio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, Ohio, United States
- Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, United States
- Faculty of Life Sciences, School of Chemistry and Biosciences, University of Bradford, Bradford, United Kingdom
| | - Dawn A Lowe
- Divisions of Rehabilitation Science and Physical Therapy, Department of Rehabilitation Medicine, Medical School, University of Minnesota, Minneapolis, Minnesota, United States
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13
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Kurland JV, Cutler AA, Stanley JT, Betta ND, Van Deusen A, Pawlikowski B, Hall M, Antwine T, Russell A, Allen MA, Dowell R, Olwin B. Aging disrupts gene expression timing during muscle regeneration. Stem Cell Reports 2023; 18:1325-1339. [PMID: 37315524 PMCID: PMC10277839 DOI: 10.1016/j.stemcr.2023.05.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/08/2023] [Accepted: 05/09/2023] [Indexed: 06/16/2023] Open
Abstract
Skeletal muscle function and regenerative capacity decline during aging, yet factors driving these changes are incompletely understood. Muscle regeneration requires temporally coordinated transcriptional programs to drive myogenic stem cells to activate, proliferate, fuse to form myofibers, and to mature as myonuclei, restoring muscle function after injury. We assessed global changes in myogenic transcription programs distinguishing muscle regeneration in aged mice from young mice by comparing pseudotime trajectories from single-nucleus RNA sequencing of myogenic nuclei. Aging-specific differences in coordinating myogenic transcription programs necessary for restoring muscle function occur following muscle injury, likely contributing to compromised regeneration in aged mice. Differences in pseudotime alignment of myogenic nuclei when comparing aged with young mice via dynamic time warping revealed pseudotemporal differences becoming progressively more severe as regeneration proceeds. Disruptions in timing of myogenic gene expression programs may contribute to incomplete skeletal muscle regeneration and declines in muscle function as organisms age.
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Affiliation(s)
- Jesse V Kurland
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA
| | - Alicia A Cutler
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA
| | - Jacob T Stanley
- BioFrontiers Institute, University of Colorado, Boulder, 3415 Colorado Avenue, Boulder, CO 80303, USA
| | - Nicole Dalla Betta
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA
| | - Ashleigh Van Deusen
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA; Edgewise Therapeutics, 3415 Colorado Avenue, Boulder, CO 80303, USA
| | - Brad Pawlikowski
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA; Department of Pediatrics Section of Section of Hematology, Oncology, Bone Marrow Transplant, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Monica Hall
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA; Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT 59718, USA
| | - Tiffany Antwine
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA
| | - Alan Russell
- Edgewise Therapeutics, 3415 Colorado Avenue, Boulder, CO 80303, USA
| | - Mary Ann Allen
- BioFrontiers Institute, University of Colorado, Boulder, 3415 Colorado Avenue, Boulder, CO 80303, USA
| | - Robin Dowell
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA; BioFrontiers Institute, University of Colorado, Boulder, 3415 Colorado Avenue, Boulder, CO 80303, USA.
| | - Bradley Olwin
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA.
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14
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Cai C, Yue Y, Yue B. Single-cell RNA sequencing in skeletal muscle developmental biology. Biomed Pharmacother 2023; 162:114631. [PMID: 37003036 DOI: 10.1016/j.biopha.2023.114631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/29/2023] [Accepted: 03/29/2023] [Indexed: 04/01/2023] Open
Abstract
Skeletal muscle is the most extensive tissue in mammals, and they perform several functions; it is derived from paraxial mesodermal somites and undergoes hyperplasia and hypertrophy to form multinucleated, contractile, and functional muscle fibers. Skeletal muscle is a complex heterogeneous tissue composed of various cell types that establish communication strategies to exchange biological information; therefore, characterizing the cellular heterogeneity and transcriptional signatures of skeletal muscle is central to understanding its ontogeny's details. Studies of skeletal myogenesis have focused primarily on myogenic cells' proliferation, differentiation, migration, and fusion and ignored the intricate network of cells with specific biological functions. The rapid development of single-cell sequencing technology has recently enabled the exploration of skeletal muscle cell types and molecular events during development. This review summarizes the progress in single-cell RNA sequencing and its applications in skeletal myogenesis, which will provide insights into skeletal muscle pathophysiology.
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Affiliation(s)
- Cuicui Cai
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu 610225, China; Guyuan Branch, Ningxia Academy of Agriculture and Forestry Sciences, Guyuan 7560000, China
| | - Yuan Yue
- Department of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang 050200, China
| | - Binglin Yue
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu 610225, China.
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15
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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.
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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
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16
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Bobadilla Muñoz M, Orbe J, Abizanda G, Machado FJD, Vilas A, Ullate-Agote A, Extramiana L, Baraibar Churio A, Aranguren XL, Cantero G, Sáinz Amillo N, Rodríguez JA, Ramos García L, Romero Riojas JP, Vallejo-Illarramendi A, Paradas C, López de Munain A, Páramo JA, Prósper F, Pérez-Ruiz A. Loss of the matrix metalloproteinase-10 causes premature features of aging in satellite cells. Front Cell Dev Biol 2023; 11:1128534. [PMID: 37228645 PMCID: PMC10203875 DOI: 10.3389/fcell.2023.1128534] [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: 12/20/2022] [Accepted: 04/24/2023] [Indexed: 05/27/2023] Open
Abstract
Aged muscles accumulate satellite cells with a striking decline response to damage. Although intrinsic defects in satellite cells themselves are the major contributors to aging-associated stem cell dysfunction, increasing evidence suggests that changes in the muscle-stem cell local microenvironment also contribute to aging. Here, we demonstrate that loss of the matrix metalloproteinase-10 (MMP-10) in young mice alters the composition of the muscle extracellular matrix (ECM), and specifically disrupts the extracellular matrix of the satellite cell niche. This situation causes premature features of aging in the satellite cells, contributing to their functional decline and a predisposition to enter senescence under proliferative pressure. Similarly, reduction of MMP-10 levels in young satellite cells from wild type animals induces a senescence response, while addition of the protease delays this program. Significantly, the effect of MMP-10 on satellite cell aging can be extended to another context of muscle wasting, muscular dystrophy. Systemic treatment of mdx dystrophic mice with MMP-10 prevents the muscle deterioration phenotype and reduces cellular damage in the satellite cells, which are normally under replicative pressure. Most importantly, MMP-10 conserves its protective effect in the satellite cell-derived myoblasts isolated from a Duchenne muscular dystrophy patient by decreasing the accumulation of damaged DNA. Hence, MMP-10 provides a previously unrecognized therapeutic opportunity to delay satellite cell aging and overcome satellite cell dysfunction in dystrophic muscles.
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Affiliation(s)
- Miriam Bobadilla Muñoz
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Josune Orbe
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Laboratory of Atherothrombosis, Program of Cardiovascular Diseases, CIMA Universidad de Navarra, Pamplona, Spain
- Redes de Investigación Cooperativa Orientadas a Resultados en Salud (RICORS)-Ictus, Instituto de Salud Carlos III, Madrid, Spain
| | - Gloria Abizanda
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Florencio J. D. Machado
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Laboratory of Atherothrombosis, Program of Cardiovascular Diseases, CIMA Universidad de Navarra, Pamplona, Spain
| | - Amaia Vilas
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Asier Ullate-Agote
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Leire Extramiana
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Arantxa Baraibar Churio
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Xabier L. Aranguren
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Gloria Cantero
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Neuromuscular Disorders Unit, Sevilla, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Neira Sáinz Amillo
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Centre for Nutrition Research, Universidad de Navarra, Pamplona, Spain
| | - José Antonio Rodríguez
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Laboratory of Atherothrombosis, Program of Cardiovascular Diseases, CIMA Universidad de Navarra, Pamplona, Spain
- Centro de Investigación en Red de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Luis Ramos García
- Radiology Department, Clínica Universidad de Navarra, Pamplona, Spain
- Radiology Department, Osakidetza Basque Health Service, Donostialdea Integrated Health Organisation, San Sebastian, Spain
| | - Juan Pablo Romero Riojas
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | | | - Carmen Paradas
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Neuromuscular Disorders Unit, Sevilla, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Adolfo López de Munain
- CIBERNED-Biodonostia, Neurosciences Area, Group of Neuromuscular Diseases, San Sebastian, Spain
- Neurology Department, Osakidetza Basque Health Service, Donostialdea Integrated Health Organisation, San Sebastian, Spain
| | - José Antonio Páramo
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Laboratory of Atherothrombosis, Program of Cardiovascular Diseases, CIMA Universidad de Navarra, Pamplona, Spain
- Centro de Investigación en Red de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
- Hematology Service, Clínica Universidad de Navarra, Pamplona, Spain
| | - Felipe Prósper
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Laboratory of Atherothrombosis, Program of Cardiovascular Diseases, CIMA Universidad de Navarra, Pamplona, Spain
| | - Ana Pérez-Ruiz
- Regenerative Medicine Program, Center for Applied Medical Research (CIMA) Universidad de Navarra, CIBERONC, Madrid, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
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17
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Gao SM, Qi Y, Zhang Q, Mohammed AS, Lee YT, Guan Y, Li H, Fu Y, Wang MC. Aging Atlas Reveals Cell-Type-Specific Regulation of Pro-longevity Strategies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.28.530490. [PMID: 36909655 PMCID: PMC10002668 DOI: 10.1101/2023.02.28.530490] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
Organism aging occurs at the multicellular level; however, how pro-longevity mechanisms slow down aging in different cell types remains unclear. We generated single-cell transcriptomic atlases across the lifespan of Caenorhabditis elegans under different pro-longevity conditions (http://mengwanglab.org/atlas). We found cell-specific, age-related changes across somatic and germ cell types and developed transcriptomic aging clocks for different tissues. These clocks enabled us to determine tissue-specific aging-slowing effects of different pro-longevity mechanisms, and identify major cell types sensitive to these regulations. Additionally, we provided a systemic view of alternative polyadenylation events in different cell types, as well as their cell-type-specific changes during aging and under different pro-longevity conditions. Together, this study provides molecular insights into how aging occurs in different cell types and how they respond to pro-longevity strategies.
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18
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Saul D, Kosinsky RL, Atkinson EJ, Doolittle ML, Zhang X, LeBrasseur NK, Pignolo RJ, Robbins PD, Niedernhofer LJ, Ikeno Y, Jurk D, Passos JF, Hickson LJ, Xue A, Monroe DG, Tchkonia T, Kirkland JL, Farr JN, Khosla S. A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues. Nat Commun 2022; 13:4827. [PMID: 35974106 PMCID: PMC9381717 DOI: 10.1038/s41467-022-32552-1] [Citation(s) in RCA: 399] [Impact Index Per Article: 133.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 08/05/2022] [Indexed: 02/01/2023] Open
Abstract
Although cellular senescence drives multiple age-related co-morbidities through the senescence-associated secretory phenotype, in vivo senescent cell identification remains challenging. Here, we generate a gene set (SenMayo) and validate its enrichment in bone biopsies from two aged human cohorts. We further demonstrate reductions in SenMayo in bone following genetic clearance of senescent cells in mice and in adipose tissue from humans following pharmacological senescent cell clearance. We next use SenMayo to identify senescent hematopoietic or mesenchymal cells at the single cell level from human and murine bone marrow/bone scRNA-seq data. Thus, SenMayo identifies senescent cells across tissues and species with high fidelity. Using this senescence panel, we are able to characterize senescent cells at the single cell level and identify key intercellular signaling pathways. SenMayo also represents a potentially clinically applicable panel for monitoring senescent cell burden with aging and other conditions as well as in studies of senolytic drugs.
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Affiliation(s)
- Dominik Saul
- Division of Endocrinology, Mayo Clinic, Rochester, MN, 55905, USA.
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA.
- Department of Trauma, Orthopedics and Reconstructive Surgery, Georg-August-University of Goettingen, Goettingen, Germany.
| | - Robyn Laura Kosinsky
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, 55905, USA
| | | | - Madison L Doolittle
- Division of Endocrinology, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - Xu Zhang
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Nathan K LeBrasseur
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Robert J Pignolo
- Division of Endocrinology, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Paul D Robbins
- Institute on the Biology of Aging and Metabolism, Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Laura J Niedernhofer
- Institute on the Biology of Aging and Metabolism, Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Yuji Ikeno
- Department of Pathology, University of Texas Health, San Antonio, TX, USA
| | - Diana Jurk
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - João F Passos
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - LaTonya J Hickson
- Division of Nephrology and Hypertension, Mayo Clinic, Jacksonville, FL, USA
| | - Ailing Xue
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - David G Monroe
- Division of Endocrinology, Mayo Clinic, Rochester, MN, 55905, USA
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
| | - Tamara Tchkonia
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - James L Kirkland
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Joshua N Farr
- Division of Endocrinology, Mayo Clinic, Rochester, MN, 55905, USA.
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA.
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
| | - Sundeep Khosla
- Division of Endocrinology, Mayo Clinic, Rochester, MN, 55905, USA.
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, 55905, USA.
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
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19
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Zreika S, Fourneaux C, Vallin E, Modolo L, Seraphin R, Moussy A, Ventre E, Bouvier M, Ozier-Lafontaine A, Bonnaffoux A, Picard F, Gandrillon O, Gonin-Giraud S. Evidence for close molecular proximity between reverting and undifferentiated cells. BMC Biol 2022; 20:155. [PMID: 35794592 PMCID: PMC9258043 DOI: 10.1186/s12915-022-01363-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/27/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND According to Waddington's epigenetic landscape concept, the differentiation process can be illustrated by a cell akin to a ball rolling down from the top of a hill (proliferation state) and crossing furrows before stopping in basins or "attractor states" to reach its stable differentiated state. However, it is now clear that some committed cells can retain a certain degree of plasticity and reacquire phenotypical characteristics of a more pluripotent cell state. In line with this dynamic model, we have previously shown that differentiating cells (chicken erythrocytic progenitors (T2EC)) retain for 24 h the ability to self-renew when transferred back in self-renewal conditions. Despite those intriguing and promising results, the underlying molecular state of those "reverting" cells remains unexplored. The aim of the present study was therefore to molecularly characterize the T2EC reversion process by combining advanced statistical tools to make the most of single-cell transcriptomic data. For this purpose, T2EC, initially maintained in a self-renewal medium (0H), were induced to differentiate for 24H (24H differentiating cells); then, a part of these cells was transferred back to the self-renewal medium (48H reverting cells) and the other part was maintained in the differentiation medium for another 24H (48H differentiating cells). For each time point, cell transcriptomes were generated using scRT-qPCR and scRNAseq. RESULTS Our results showed a strong overlap between 0H and 48H reverting cells when applying dimensional reduction. Moreover, the statistical comparison of cell distributions and differential expression analysis indicated no significant differences between these two cell groups. Interestingly, gene pattern distributions highlighted that, while 48H reverting cells have gene expression pattern more similar to 0H cells, they are not completely identical, which suggest that for some genes a longer delay may be required for the cells to fully recover. Finally, sparse PLS (sparse partial least square) analysis showed that only the expression of 3 genes discriminates 48H reverting and 0H cells. CONCLUSIONS Altogether, we show that reverting cells return to an earlier molecular state almost identical to undifferentiated cells and demonstrate a previously undocumented physiological and molecular plasticity during the differentiation process, which most likely results from the dynamic behavior of the underlying molecular network.
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Affiliation(s)
- Souad Zreika
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
- Azm Center for Research in Biotechnology and its Applications, LBA3B, EDST, Lebanese University, Tripoli, 1300, Lebanon
| | - Camille Fourneaux
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
| | - Elodie Vallin
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
| | - Laurent Modolo
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
| | - Rémi Seraphin
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
| | - Alice Moussy
- Ecole Pratique des Hautes Etudes, PSL Research University, UMRS951, INSERM, Univ-Evry, Paris, France
| | - Elias Ventre
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
- Inria Team Dracula, Inria Center Grenoble Rhone-Alpes, Grenoble, France
- Institut Camille Jordan, CNRS UMR 5208, Université Claude Bernard Lyon 1, Villeurbanne, France
| | - Matteo Bouvier
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
- Vidium solutions, Lyon, France
| | - Anthony Ozier-Lafontaine
- Nantes Université, Centrale Nantes, Laboratoire de mathématiques Jean Leray, LMJL, F-44000, Nantes, France
| | - Arnaud Bonnaffoux
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
- Vidium solutions, Lyon, France
| | - Franck Picard
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
| | - Olivier Gandrillon
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France
- Inria Team Dracula, Inria Center Grenoble Rhone-Alpes, Grenoble, France
| | - Sandrine Gonin-Giraud
- Laboratory of Biology and Modelling of the Cell, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France.
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20
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Parker E, Khayrullin A, Kent A, Mendhe B, Youssef El Baradie KB, Yu K, Pihkala J, Liu Y, McGee-Lawrence M, Johnson M, Chen J, Hamrick M. Hindlimb Immobilization Increases IL-1β and Cdkn2a Expression in Skeletal Muscle Fibro-Adipogenic Progenitor Cells: A Link Between Senescence and Muscle Disuse Atrophy. Front Cell Dev Biol 2022; 9:790437. [PMID: 35047502 PMCID: PMC8762295 DOI: 10.3389/fcell.2021.790437] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/13/2021] [Indexed: 11/26/2022] Open
Abstract
Loss of muscle mass and strength contributes to decreased independence and an increased risk for morbidity and mortality. A better understanding of the cellular and molecular mechanisms underlying muscle atrophy therefore has significant clinical and therapeutic implications. Fibro-adipogenic progenitors (FAPs) are a skeletal muscle resident stem cell population that have recently been shown to play vital roles in muscle regeneration and muscle hypertrophy; however, the role that these cells play in muscle disuse atrophy is not well understood. We investigated the role of FAPs in disuse atrophy in vivo utilizing a 2-week single hindlimb immobilization model. RNA-seq was performed on FAPs isolated from the immobilized and non-immobilized limb. The RNAseq data show that IL-1β is significantly upregulated in FAPs following 2 weeks of immobilization, which we confirmed using droplet-digital PCR (ddPCR). We further validated the RNA-seq and ddPCR data from muscle in situ using RNAscope technology. IL-1β is recognized as a key component of the senescence-associated secretory phenotype, or SASP. We then tested the hypothesis that FAPs from the immobilized limb would show elevated senescence measured by cyclin-dependent kinase inhibitor 2A (Cdkn2a) expression as a senescence marker. The ddPCR and RNAscope data both revealed increased Cdkn2a expression in FAPs with immobilization. These data suggest that the gene expression profile of FAPs is significantly altered with disuse, and that disuse itself may drive senescence in FAPs further contributing to muscle atrophy.
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Affiliation(s)
- Emily Parker
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Andrew Khayrullin
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Andrew Kent
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Bharati Mendhe
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Khairat Bahgat Youssef El Baradie
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States.,Faculty of Science, Tanta University, Tanta, Egypt
| | - Kanglun Yu
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Jeanene Pihkala
- Flow Cytometry Core Facility Research Laboratory Director, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Yutao Liu
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Meghan McGee-Lawrence
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Maribeth Johnson
- Division of Biostatistics and Data Science, DPHS, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Jie Chen
- Division of Biostatistics and Data Science, DPHS, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Mark Hamrick
- Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
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21
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Lange M, Bergen V, Klein M, Setty M, Reuter B, Bakhti M, Lickert H, Ansari M, Schniering J, Schiller HB, Pe'er D, Theis FJ. CellRank for directed single-cell fate mapping. Nat Methods 2022; 19:159-170. [PMID: 35027767 PMCID: PMC8828480 DOI: 10.1038/s41592-021-01346-6] [Citation(s) in RCA: 341] [Impact Index Per Article: 113.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 11/07/2021] [Indexed: 12/20/2022]
Abstract
Computational trajectory inference enables the reconstruction of cell state dynamics from single-cell RNA sequencing experiments. However, trajectory inference requires that the direction of a biological process is known, largely limiting its application to differentiating systems in normal development. Here, we present CellRank (https://cellrank.org) for single-cell fate mapping in diverse scenarios, including regeneration, reprogramming and disease, for which direction is unknown. Our approach combines the robustness of trajectory inference with directional information from RNA velocity, taking into account the gradual and stochastic nature of cellular fate decisions, as well as uncertainty in velocity vectors. On pancreas development data, CellRank automatically detects initial, intermediate and terminal populations, predicts fate potentials and visualizes continuous gene expression trends along individual lineages. Applied to lineage-traced cellular reprogramming data, predicted fate probabilities correctly recover reprogramming outcomes. CellRank also predicts a new dedifferentiation trajectory during postinjury lung regeneration, including previously unknown intermediate cell states, which we confirm experimentally. CellRank infers directed cell state transitions and cell fates incorporating RNA velocity information into a graph based Markov process.
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Affiliation(s)
- Marius Lange
- Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany.,Department of Mathematics, Technical University of Munich, Munich, Germany
| | - Volker Bergen
- Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany.,Department of Mathematics, Technical University of Munich, Munich, Germany
| | - Michal Klein
- Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
| | - Manu Setty
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Basic Sciences Division and Translational Data Science IRC, Fred Hutchinson Cancer Research Center, Seattle WA, USA
| | - Bernhard Reuter
- Department of Computer Science, University of Tübingen, Tübingen, Germany.,Zuse Institute Berlin (ZIB), Berlin, Germany
| | - Mostafa Bakhti
- Institute of Diabetes and Regeneration Research, Helmholtz Center Munich, Munich, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Heiko Lickert
- Institute of Diabetes and Regeneration Research, Helmholtz Center Munich, Munich, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Meshal Ansari
- Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany.,Comprehensive Pneumology Center (CPC) / Institute of Lung Biology and Disease (ILBD), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Janine Schniering
- Comprehensive Pneumology Center (CPC) / Institute of Lung Biology and Disease (ILBD), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Herbert B Schiller
- Comprehensive Pneumology Center (CPC) / Institute of Lung Biology and Disease (ILBD), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Dana Pe'er
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany. .,Department of Mathematics, Technical University of Munich, Munich, Germany. .,TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.
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22
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Jacques E, Kuang Y, Kann AP, Le Grand F, Krauss RS, Gilbert PM. The mini-IDLE 3D biomimetic culture assay enables interrogation of mechanisms governing muscle stem cell quiescence and niche repopulation. eLife 2022; 11:81738. [PMID: 36537758 PMCID: PMC9904761 DOI: 10.7554/elife.81738] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
Adult skeletal muscle harbours a population of muscle stem cells (MuSCs) that are required for repair after tissue injury. In youth, MuSCs return to a reversible state of cell-cycle arrest termed 'quiescence' after injury resolution. Conversely, some MuSCs in aged muscle remain semi-activated, causing a premature response to injuries that results in incomplete repair and eventual stem cell depletion. Regulating this balance between MuSC quiescence and activation may hold the key to restoring tissue homeostasis with age, but is incompletely understood. To fill this gap, we developed a simple and tractable in vitro method, to rapidly inactivate MuSCs freshly isolated from young murine skeletal muscle, and return them to a quiescent-like state for at least 1-week, which we name mini-IDLE (Inactivation and Dormancy LEveraged in vitro). This was achieved by introducing MuSCs into a 3D bioartificial niche comprised of a thin sheet of mouse myotubes, which we demonstrate provides the minimal cues necessary to induce quiescence. With different starting numbers of MuSCs, the assay revealed cellular heterogeneity and population-level adaptations that converged on a common niche repopulation density; behaviours previously observed only in vivo. Quiescence-associated hallmarks included a Pax7+CalcR+DDX6+MyoD-c-FOS- signature, quiescent-like morphologies, and polarized niche markers. Leveraging high-content bioimaging pipelines, we demonstrate a relationship between morphology and cell fate signatures for possible real-time morphology-based screening. When using MuSCs from aged muscle, they displayed aberrant proliferative activities and delayed inactivation kinetics, among other quiescence-associated defects that we show are partially rescued by wortmannin treatment. Thus, the assay offers an unprecedented opportunity to systematically investigate long-standing queries in areas such as regulation of pool size and functional heterogeneity within the MuSC population, and to uncover quiescence regulators in youth and age.
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Affiliation(s)
- Erik Jacques
- Institute of Biomedical Engineering, University of TorontoTorontoCanada,Donnelly Centre, University of TorontoTorontoCanada
| | - Yinni Kuang
- Donnelly Centre, University of TorontoTorontoCanada,Department of Cell and Systems Biology, University of TorontoTorontoCanada
| | - Allison P Kann
- Department of Cell, Developmental, and Regenerative Biology, Icahn School of Medicine at Mount SinaiNew YorkUnited States,Black Family Stem Cell Institute, Icahn School of Medicine at Mount SinaiNew YorkUnited States,Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Fabien Le Grand
- Université Claude Bernard Lyon 1, CNRS UMR 5261, INSERM U1315, Institut NeuroMyoGène - Pathophysiology and Genetics of Neuron and MuscleLyonFrance
| | - Robert S Krauss
- Department of Cell, Developmental, and Regenerative Biology, Icahn School of Medicine at Mount SinaiNew YorkUnited States,Black Family Stem Cell Institute, Icahn School of Medicine at Mount SinaiNew YorkUnited States,Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Penney M Gilbert
- Institute of Biomedical Engineering, University of TorontoTorontoCanada,Donnelly Centre, University of TorontoTorontoCanada,Department of Cell and Systems Biology, University of TorontoTorontoCanada
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23
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Jalal S, Dastidar S, Tedesco FS. Advanced models of human skeletal muscle differentiation, development and disease: Three-dimensional cultures, organoids and beyond. Curr Opin Cell Biol 2021; 73:92-104. [PMID: 34384976 PMCID: PMC8692266 DOI: 10.1016/j.ceb.2021.06.004] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 06/23/2021] [Indexed: 02/08/2023]
Abstract
Advanced in vitro models of human skeletal muscle tissue are increasingly needed to model complex developmental dynamics and disease mechanisms not recapitulated in animal models or in conventional monolayer cell cultures. There has been impressive progress towards creating such models by using tissue engineering approaches to recapitulate a range of physical and biochemical components of native human skeletal muscle tissue. In this review, we discuss recent studies focussed on developing complex in vitro models of human skeletal muscle beyond monolayer cell cultures, involving skeletal myogenic differentiation from human primary myoblasts or pluripotent stem cells, often in the presence of structural scaffolding support. We conclude with our outlook on the future of advanced skeletal muscle three-dimensional cultures (e.g. organoids and biofabrication) to produce physiologically and clinically relevant platforms for disease modelling and therapy development in musculoskeletal and neuromuscular disorders.
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Affiliation(s)
- Salma Jalal
- Department of Cell and Developmental Biology, University College London, WC1E 6DE London, United Kingdom
| | - Sumitava Dastidar
- Department of Cell and Developmental Biology, University College London, WC1E 6DE London, United Kingdom
| | - Francesco Saverio Tedesco
- Department of Cell and Developmental Biology, University College London, WC1E 6DE London, United Kingdom; The Francis Crick Institute, 1 Midland Road, London NW1 1AT, United Kingdom; Dubowitz Neuromuscular Centre, Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, United Kingdom; Department of Paediatric Neurology, Great Ormond Street Hospital for Children, WC1N 3JH London, United Kingdom.
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24
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Collins BC, Kardon G. It takes all kinds: heterogeneity among satellite cells and fibro-adipogenic progenitors during skeletal muscle regeneration. Development 2021; 148:dev199861. [PMID: 34739030 PMCID: PMC8602941 DOI: 10.1242/dev.199861] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Vertebrate skeletal muscle is composed of multinucleate myofibers that are surrounded by muscle connective tissue. Following injury, muscle is able to robustly regenerate because of tissue-resident muscle stem cells, called satellite cells. In addition, efficient and complete regeneration depends on other cells resident in muscle - including fibro-adipogenic progenitors (FAPs). Increasing evidence from single-cell analyses and genetic and transplantation experiments suggests that satellite cells and FAPs are heterogeneous cell populations. Here, we review our current understanding of the heterogeneity of satellite cells, their myogenic derivatives and FAPs in terms of gene expression, anatomical location, age and timing during the regenerative process - each of which have potentially important functional consequences.
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Affiliation(s)
| | - Gabrielle Kardon
- Department of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA
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