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Hernandez-Benitez R, Wang C, Shi L, Ouchi Y, Zhong C, Hishida T, Liao HK, Magill EA, Memczak S, Soligalla RD, Fresia C, Hatanaka F, Lamas V, Guillen I, Sahu S, Yamamoto M, Shao Y, Aguirre-Vazquez A, Nuñez Delicado E, Guillen P, Rodriguez Esteban C, Qu J, Reddy P, Horvath S, Liu GH, Magistretti P, Izpisua Belmonte JC. Intervention with metabolites emulating endogenous cell transitions accelerates muscle regeneration in young and aged mice. Cell Rep Med 2024; 5:101449. [PMID: 38508141 PMCID: PMC10983034 DOI: 10.1016/j.xcrm.2024.101449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 10/10/2023] [Accepted: 02/08/2024] [Indexed: 03/22/2024]
Abstract
Tissue regeneration following an injury requires dynamic cell-state transitions that allow for establishing the cell identities required for the restoration of tissue homeostasis and function. Here, we present a biochemical intervention that induces an intermediate cell state mirroring a transition identified during normal differentiation of myoblasts and other multipotent and pluripotent cells to mature cells. When applied in somatic differentiated cells, the intervention, composed of one-carbon metabolites, reduces some dedifferentiation markers without losing the lineage identity, thus inducing limited reprogramming into a more flexible cell state. Moreover, the intervention enabled accelerated repair after muscle injury in young and aged mice. Overall, our study uncovers a conserved biochemical transitional phase that enhances cellular plasticity in vivo and hints at potential and scalable biochemical interventions of use in regenerative medicine and rejuvenation interventions that may be more tractable than genetic ones.
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Affiliation(s)
- Reyna Hernandez-Benitez
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA; Altos Labs, Inc., San Diego, CA 92121, USA
| | - Chao Wang
- Altos Labs, Inc., San Diego, CA 92121, USA
| | - Lei Shi
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Yasuo Ouchi
- Altos Labs, Inc., San Diego, CA 92121, USA; Department of Regenerative Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | | | - Tomoaki Hishida
- Laboratory of Biological Chemistry, School of Pharmaceutical Sciences, Wakayama Medical University, 25-1 Shichibancho, Wakayama 640-8156, Japan
| | - Hsin-Kai Liao
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Eric A Magill
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | | | - Rupa D Soligalla
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Chiara Fresia
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | | | | | | | | | | | | | | | - Estrella Nuñez Delicado
- Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, Nº 135 12, 30107 Guadalupe, Spain
| | | | | | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | | | | | - Guang-Hui Liu
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Pierre Magistretti
- King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
| | - Juan Carlos Izpisua Belmonte
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA; Altos Labs, Inc., San Diego, CA 92121, USA.
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2
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Shahir JA, Stanley N, Purvis JE. Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks. BMC Bioinformatics 2024; 25:25. [PMID: 38221640 PMCID: PMC10788980 DOI: 10.1186/s12859-024-05641-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/04/2024] [Indexed: 01/16/2024] Open
Abstract
With the growing number of single-cell datasets collected under more complex experimental conditions, there is an opportunity to leverage single-cell variability to reveal deeper insights into how cells respond to perturbations. Many existing approaches rely on discretizing the data into clusters for differential gene expression (DGE), effectively ironing out any information unveiled by the single-cell variability across cell-types. In addition, DGE often assumes a statistical distribution that, if erroneous, can lead to false positive differentially expressed genes. Here, we present Cellograph: a semi-supervised framework that uses graph neural networks to quantify the effects of perturbations at single-cell granularity. Cellograph not only measures how prototypical cells are of each condition but also learns a latent space that is amenable to interpretable data visualization and clustering. The learned gene weight matrix from training reveals pertinent genes driving the differences between conditions. We demonstrate the utility of our approach on publicly-available datasets including cancer drug therapy, stem cell reprogramming, and organoid differentiation. Cellograph outperforms existing methods for quantifying the effects of experimental perturbations and offers a novel framework to analyze single-cell data using deep learning.
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Affiliation(s)
- Jamshaid A Shahir
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Natalie Stanley
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jeremy E Purvis
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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3
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Kim R, Kim JW, Choi H, Oh JE, Kim TH, Go GY, Lee SJ, Bae GU. Ginsenoside Rg5 promotes muscle regeneration via p38MAPK and Akt/mTOR signaling. J Ginseng Res 2023; 47:726-734. [PMID: 38107401 PMCID: PMC10721479 DOI: 10.1016/j.jgr.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 12/19/2023] Open
Abstract
Background Skeletal muscles play a key role in physical activity and energy metabolism. The loss of skeletal muscle mass can cause problems related to metabolism and physical activity. Studies are being conducted to prevent such diseases by increasing the mass and regeneration capacity of muscles. Ginsenoside Rg5 has been reported to exhibit a broad range of pharmacological activities. However, studies on the effects of Rg5 on muscle differentiation and growth are scarce. Methods To investigate the effects of Rg5 on myogenesis, C2C12 myoblasts were induced to differentiate with Rg5, followed by immunoblotting, immunostaining, and qRT-PCR for myogenic markers and promyogenic signaling (p38MAPK). Immunoprecipitation confirmed that Rg5 increased the interaction between MyoD and E2A via p38MAPK. To investigate the effects of Rg5 on prevention of muscle mass loss, C2C12 myotubes were treated with dexamethasone to induce muscle atrophy. Immunoblotting, immunostaining, and qRT-PCR were performed for myogenic markers, Akt/mTOR signaling for protein synthesis, and atrophy-related genes (Atrogin-1 and MuRF1). Results Rg5 promoted C2C12 myoblast differentiation through phosphorylation of p38MAPK and MyoD/E2A heterodimerization. Furthermore, Rg5 stimulated C2C12 myotube hypertrophy via phosphorylation of Akt/mTOR. Phosphorylation of Akt induces FoxO3a phosphorylation, which reduces the expression of Atrogin-1 and MuRF1. Conclusion This study provides an understanding of how Rg5 promotes myogenesis and hypertrophy and prevents dexamethasone-induced muscle atrophy. The study is the first, to the best of our knowledge, to show that Rg5 promotes muscle regeneration and to suggest that Rg5 can be used for therapeutic intervention of muscle weakness and atrophy, including cancer cachexia.
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Affiliation(s)
- Ryuni Kim
- Drug Information Research Institute, Muscle Physiome Research Center, College of Pharmacy, Sookmyung Women's University, Seoul, Republic of Korea
| | - Jee Won Kim
- Drug Information Research Institute, Muscle Physiome Research Center, College of Pharmacy, Sookmyung Women's University, Seoul, Republic of Korea
| | - Hyerim Choi
- Drug Information Research Institute, Muscle Physiome Research Center, College of Pharmacy, Sookmyung Women's University, Seoul, Republic of Korea
| | - Ji-Eun Oh
- Department of Biomedical Laboratory Science, Far East University, Chungbuk-do, Republic of Korea
| | - Tae Hyun Kim
- Drug Information Research Institute, Muscle Physiome Research Center, College of Pharmacy, Sookmyung Women's University, Seoul, Republic of Korea
| | - Ga-Yeon Go
- Research Institute of Aging Related Disease, AniMusCure Inc., Suwon, Republic of Korea
| | - Sang-Jin Lee
- Research Institute of Aging Related Disease, AniMusCure Inc., Suwon, Republic of Korea
| | - Gyu-Un Bae
- Drug Information Research Institute, Muscle Physiome Research Center, College of Pharmacy, Sookmyung Women's University, Seoul, Republic of Korea
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4
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Qabrati X, Kim I, Ghosh A, Bundschuh N, Noé F, Palmer AS, Bar-Nur O. Transgene-free direct conversion of murine fibroblasts into functional muscle stem cells. NPJ Regen Med 2023; 8:43. [PMID: 37553383 PMCID: PMC10409758 DOI: 10.1038/s41536-023-00317-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 07/21/2023] [Indexed: 08/10/2023] Open
Abstract
Transcription factor-based cellular reprogramming provides an attractive approach to produce desired cell types for regenerative medicine purposes. Such cellular conversions are widely dependent on viral vectors to efficiently deliver and express defined factors in target cells. However, use of viral vectors is associated with unfavorable genomic integrations that can trigger deleterious molecular consequences, rendering this method a potential impediment to clinical applications. Here, we report on a highly efficient transgene-free approach to directly convert mouse fibroblasts into induced myogenic progenitor cells (iMPCs) by overexpression of synthetic MyoD-mRNA in concert with an enhanced small molecule cocktail. First, we performed a candidate compound screen and identified two molecules that enhance fibroblast reprogramming into iMPCs by suppression of the JNK and JAK/STAT pathways. Simultaneously, we developed an optimal transfection protocol to transiently overexpress synthetic MyoD-mRNA in fibroblasts. Combining these two techniques enabled robust and rapid reprogramming of fibroblasts into Pax7 positive iMPCs in as little as 10 days. Nascent transgene-free iMPCs proliferated extensively in vitro, expressed a suite of myogenic stem cell markers, and could differentiate into highly multinucleated and contractile myotubes. Furthermore, using global and single-cell transcriptome assays, we delineated gene expression changes associated with JNK and JAK/STAT pathway inhibition during reprogramming, and identified in iMPCs a Pax7+ stem cell subpopulation resembling satellite cells. Last, transgene-free iMPCs robustly engrafted skeletal muscles of a Duchenne muscular dystrophy mouse model, restoring dystrophin expression in hundreds of myofibers. In summary, this study reports on an improved and clinically safer approach to convert fibroblasts into myogenic stem cells that can efficiently contribute to muscle regeneration in vivo.
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Affiliation(s)
- Xhem Qabrati
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
| | - Inseon Kim
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
| | - Adhideb Ghosh
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
- Functional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Nicola Bundschuh
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
| | - Falko Noé
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
- Functional Genomics Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Andrew S Palmer
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
- Institute for Health and Sport, Victoria University, Footscray, VIC, Australia
| | - Ori Bar-Nur
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland.
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5
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Hoetker MS, Yagi M, Di Stefano B, Langerman J, Cristea S, Wong LP, Huebner AJ, Charlton J, Deng W, Haggerty C, Sadreyev RI, Meissner A, Michor F, Plath K, Hochedlinger K. H3K36 methylation maintains cell identity by regulating opposing lineage programmes. Nat Cell Biol 2023; 25:1121-1134. [PMID: 37460697 PMCID: PMC10896483 DOI: 10.1038/s41556-023-01191-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/19/2023] [Indexed: 08/12/2023]
Abstract
The epigenetic mechanisms that maintain differentiated cell states remain incompletely understood. Here we employed histone mutants to uncover a crucial role for H3K36 methylation in the maintenance of cell identities across diverse developmental contexts. Focusing on the experimental induction of pluripotency, we show that H3K36M-mediated depletion of H3K36 methylation endows fibroblasts with a plastic state poised to acquire pluripotency in nearly all cells. At a cellular level, H3K36M facilitates epithelial plasticity by rendering fibroblasts insensitive to TGFβ signals. At a molecular level, H3K36M enables the decommissioning of mesenchymal enhancers and the parallel activation of epithelial/stem cell enhancers. This enhancer rewiring is Tet dependent and redirects Sox2 from promiscuous somatic to pluripotency targets. Our findings reveal a previously unappreciated dual role for H3K36 methylation in the maintenance of cell identity by integrating a crucial developmental pathway into sustained expression of cell-type-specific programmes, and by opposing the expression of alternative lineage programmes through enhancer methylation.
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Affiliation(s)
- Michael S Hoetker
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Masaki Yagi
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bruno Di Stefano
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Justin Langerman
- David Geffen School of Medicine, Department of Biological Chemistry, Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, Jonsson Comprehensive Cancer Center, Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Simona Cristea
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lai Ping Wong
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Aaron J Huebner
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jocelyn Charlton
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Department of Genome Regulation, Max-Planck Institute for Molecular Genetics, Berlin, Germany
| | - Weixian Deng
- David Geffen School of Medicine, Department of Biological Chemistry, Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, Jonsson Comprehensive Cancer Center, Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Chuck Haggerty
- Department of Genome Regulation, Max-Planck Institute for Molecular Genetics, Berlin, Germany
| | - Ruslan I Sadreyev
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Harvard Medical School and Massachusetts General Hospital, Boston, MA, USA
| | - Alexander Meissner
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Department of Genome Regulation, Max-Planck Institute for Molecular Genetics, Berlin, Germany
| | - Franziska Michor
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- The Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, MA, USA
- The Ludwig Center at Harvard, Boston, MA, USA
| | - Kathrin Plath
- David Geffen School of Medicine, Department of Biological Chemistry, Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, Jonsson Comprehensive Cancer Center, Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Konrad Hochedlinger
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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6
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Zhang H, Qi G, Wang K, Yang J, Shen Y, Yang X, Chen X, Yao X, Gu X, Qi L, Zhou C, Sun H. Oxidative stress: roles in skeletal muscle atrophy. Biochem Pharmacol 2023:115664. [PMID: 37331636 DOI: 10.1016/j.bcp.2023.115664] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 06/20/2023]
Abstract
Oxidative stress, inflammation, mitochondrial dysfunction, reduced protein synthesis, and increased proteolysis are all critical factors in the process of muscle atrophy. In particular, oxidative stress is the key factor that triggers skeletal muscle atrophy. It is activated in the early stages of muscle atrophy and can be regulated by various factors. The mechanisms of oxidative stress in the development of muscle atrophy have not been completely elucidated. This review provides an overview of the sources of oxidative stress in skeletal muscle and the correlation of oxidative stress with inflammation, mitochondrial dysfunction, autophagy, protein synthesis, proteolysis, and muscle regeneration in muscle atrophy. Additionally, the role of oxidative stress in skeletal muscle atrophy caused by several pathological conditions, including denervation, unloading, chronic inflammatory diseases (diabetes mellitus, chronic kidney disease, chronic heart failure, and chronic obstructive pulmonary disease), sarcopenia, hereditary neuromuscular diseases (spinal muscular atrophy, amyotrophic lateral sclerosis, and Duchenne muscular dystrophy), and cancer cachexia, have been discussed. Finally, this review proposes the alleviation oxidative stress using antioxidants, Chinese herbal extracts, stem cell and extracellular vesicles as a promising therapeutic strategy for muscle atrophy. This review will aid in the development of novel therapeutic strategies and drugs for muscle atrophy.
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Affiliation(s)
- Han Zhang
- 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, Medical College, Nantong University, Nantong, Jiangsu Province, 226001, PR China
| | - Guangdong Qi
- Department of Endocrinology, Binhai County People's Hospital, Yancheng, Jiangsu Province, 224500, PR China
| | - Kexin Wang
- 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, Medical College, Nantong University, Nantong, Jiangsu Province, 226001, PR China
| | - Jiawen Yang
- Department of Clinical Medicine, Medical College, Nantong University, Nantong 226001, 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, Medical College, Nantong University, Nantong, Jiangsu Province, 226001, PR China
| | - Xiaoming Yang
- 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, Medical College, Nantong University, Nantong, Jiangsu Province, 226001, PR China
| | - Xin Chen
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, 226001, PR China
| | - Xinlei Yao
- 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, Medical College, Nantong University, Nantong, Jiangsu Province, 226001, PR China
| | - Xiaosong 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, Medical College, Nantong University, Nantong, Jiangsu Province, 226001, PR China
| | - Lei Qi
- Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, 226001, PR China.
| | - Chun Zhou
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, 226001, PR 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, Medical College, Nantong University, Nantong, Jiangsu Province, 226001, PR China; Research and Development Center for E-Learning, Ministry of Education, Beijing 100816, PR China.
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7
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Gong W, Dsouza N, Garry DJ. SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors. Genome Biol 2023; 24:125. [PMID: 37218013 DOI: 10.1186/s13059-023-02954-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 04/27/2023] [Indexed: 05/24/2023] Open
Abstract
Assay for Transposase-Accessible Chromatin with sequencing (ATAC-seq) reveals chromatin accessibility across the genome. Currently, no method specifically detects differential chromatin accessibility. Here, SeATAC uses a conditional variational autoencoder model to learn the latent representation of ATAC-seq V-plots and outperforms MACS2 and NucleoATAC on six separate tasks. Applying SeATAC to several pioneer factor-induced differentiation or reprogramming ATAC-seq datasets suggests that induction of these factors not only relaxes the closed chromatin but also decreases chromatin accessibility of 20% to 30% of their target sites. SeATAC is a novel tool to accurately reveal genomic regions with differential chromatin accessibility from ATAC-seq data.
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Affiliation(s)
- Wuming Gong
- Cardiovascular Division, Department of Medicine, University of Minnesota, Minneapolis, MN, 55455, USA.
- Lillehei Heart Institute, University of Minnesota, 2231 6Th St SE, Minneapolis, MN, 55455, USA.
| | - Nikita Dsouza
- Cardiovascular Division, Department of Medicine, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Daniel J Garry
- Cardiovascular Division, Department of Medicine, University of Minnesota, Minneapolis, MN, 55455, USA.
- Lillehei Heart Institute, University of Minnesota, 2231 6Th St SE, Minneapolis, MN, 55455, USA.
- Stem Cell Institute, University of Minnesota, Minneapolis, MN, 55455, USA.
- Paul and Sheila Wellstone Muscular Dystrophy Center, University of Minnesota, Minneapolis, MN, 55455, USA.
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8
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Fuiten AM, Yoshimoto Y, Shukunami C, Stadler HS. Digits in a dish: An in vitro system to assess the molecular genetics of hand/foot development at single-cell resolution. Front Cell Dev Biol 2023; 11:1135025. [PMID: 36994104 PMCID: PMC10040768 DOI: 10.3389/fcell.2023.1135025] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 02/21/2023] [Indexed: 03/16/2023] Open
Abstract
In vitro models allow for the study of developmental processes outside of the embryo. To gain access to the cells mediating digit and joint development, we identified a unique property of undifferentiated mesenchyme isolated from the distal early autopod to autonomously re-assemble forming multiple autopod structures including: digits, interdigital tissues, joints, muscles and tendons. Single-cell transcriptomic analysis of these developing structures revealed distinct cell clusters that express canonical markers of distal limb development including: Col2a1, Col10a1, and Sp7 (phalanx formation), Thbs2 and Col1a1 (perichondrium), Gdf5, Wnt5a, and Jun (joint interzone), Aldh1a2 and Msx1 (interdigital tissues), Myod1 (muscle progenitors), Prg4 (articular perichondrium/articular cartilage), and Scx and Tnmd (tenocytes/tendons). Analysis of the gene expression patterns for these signature genes indicates that developmental timing and tissue-specific localization were also recapitulated in a manner similar to the initiation and maturation of the developing murine autopod. Finally, the in vitro digit system also recapitulates congenital malformations associated with genetic mutations as in vitro cultures of Hoxa13 mutant mesenchyme produced defects present in Hoxa13 mutant autopods including digit fusions, reduced phalangeal segment numbers, and poor mesenchymal condensation. These findings demonstrate the robustness of the in vitro digit system to recapitulate digit and joint development. As an in vitro model of murine digit and joint development, this innovative system will provide access to the developing limb tissues facilitating studies to discern how digit and articular joint formation is initiated and how undifferentiated mesenchyme is patterned to establish individual digit morphologies. The in vitro digit system also provides a platform to rapidly evaluate treatments aimed at stimulating the repair or regeneration of mammalian digits impacted by congenital malformation, injury, or disease.
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Affiliation(s)
- Allison M. Fuiten
- Research Center, Shriners Children’s, Portland, OR, United States
- Department of Orthopaedics and Rehabilitation, Oregon Health and Science University, Portland, OR, United States
| | - Yuki Yoshimoto
- Department of Molecular Biology and Biochemistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Chisa Shukunami
- Department of Molecular Biology and Biochemistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - H. Scott Stadler
- Research Center, Shriners Children’s, Portland, OR, United States
- Department of Orthopaedics and Rehabilitation, Oregon Health and Science University, Portland, OR, United States
- *Correspondence: H. Scott Stadler,
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9
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Mohammadinejad F, Mohammadabadi M, Roudbari Z, Sadkowski T. Identification of Key Genes and Biological Pathways Associated with Skeletal Muscle Maturation and Hypertrophy in Bos taurus, Ovis aries, and Sus scrofa. Animals (Basel) 2022; 12. [PMID: 36552391 DOI: 10.3390/ani12243471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/03/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
The aim of the current study was to identify the major genes and pathways involved in the process of hypertrophy and skeletal muscle maturation that is common for Bos taurus, Ovis aries, and Sus scrofa species. Gene expression profiles related to Bos taurus, Ovis aries, and Sus scrofa muscle, with accession numbers GSE44030, GSE23563, and GSE38518, respectively, were downloaded from the GEO database. Differentially expressed genes (DEGs) were screened out using the Limma package of R software. Genes with Fold Change > 2 and an adjusted p-value < 0.05 were identified as significantly different between two treatments in each species. Subsequently, gene ontology and pathway enrichment analyses were performed. Moreover, hub genes were detected by creating a protein−protein interaction network (PPI). The results of the analysis in Bos taurus showed that in the period of 280 dpc−3-months old, a total of 1839 genes showed a significant difference. In Ovis aries, however, during the period of 135dpc−2-months old, a total of 486 genes were significantly different. Additionally, in the 91 dpc−adult period, a total of 2949 genes were significantly different in Sus scrofa. The results of the KEGG pathway enrichment analysis and GO function annotation in each species separately revealed that in Bos taurus, DEGs were mainly enriched through skeletal muscle fiber development and skeletal muscle contraction, and the positive regulation of fibroblast proliferation, positive regulation of skeletal muscle fiber development, PPAR signaling pathway, and HIF-1 signaling pathway. In Ovis aries, DEGs were mainly enriched through regulating cell growth, skeletal muscle fiber development, the positive regulation of fibroblast proliferation, skeletal muscle cell differentiation, and the PI3K-Akt signaling, HIF-1 signaling, and Rap1 signaling pathways. In Sus scrofa, DEGs were mainly enriched through regulating striated muscle tissue development, the negative regulation of fibroblast proliferation and myoblast differentiation, and the HIF-1 signaling, AMPK signaling, and PI3K-Akt signaling pathways. Using a Venn diagram, 36 common DEGs were identified between Bos taurus, Ovis aries, and Sus scrofa. A biological pathways analysis of 36 common DEGs in Bos taurus, Ovis aries, and Sus scrofa allowed for the identification of common pathways/biological processes, such as myoblast differentiation, the regulation of muscle cell differentiation, and positive regulation of skeletal muscle fiber development, that orchestrated the development and maturation of skeletal muscle. As a result, hub genes were identified, including PPARGC1A, MYOD1, EPAS1, IGF2, CXCR4, and APOA1, in all examined species. This study provided a better understanding of the relationships between genes and their biological pathways in the skeletal muscle maturation process.
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10
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Battistelli C, Garbo S, Maione R. MyoD-Induced Trans-Differentiation: A Paradigm for Dissecting the Molecular Mechanisms of Cell Commitment, Differentiation and Reprogramming. Cells 2022; 11:3435. [PMID: 36359831 PMCID: PMC9654159 DOI: 10.3390/cells11213435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 10/23/2022] [Accepted: 10/28/2022] [Indexed: 10/20/2023] Open
Abstract
The discovery of the skeletal muscle-specific transcription factor MyoD represents a milestone in the field of transcriptional regulation during differentiation and cell-fate reprogramming. MyoD was the first tissue-specific factor found capable of converting non-muscle somatic cells into skeletal muscle cells. A unique feature of MyoD, with respect to other lineage-specific factors able to drive trans-differentiation processes, is its ability to dramatically change the cell fate even when expressed alone. The present review will outline the molecular strategies by which MyoD reprograms the transcriptional regulation of the cell of origin during the myogenic conversion, focusing on the activation and coordination of a complex network of co-factors and epigenetic mechanisms. Some molecular roadblocks, found to restrain MyoD-dependent trans-differentiation, and the possible ways for overcoming these barriers, will also be discussed. Indeed, they are of critical importance not only to expand our knowledge of basic muscle biology but also to improve the generation skeletal muscle cells for translational research.
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Affiliation(s)
| | | | - Rossella Maione
- Department of Molecular Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
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11
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Liu B, Qu J, Zhang W, Izpisua Belmonte JC, Liu G. A stem cell aging framework, from mechanisms to interventions. Cell Rep 2022; 41:111451. [DOI: 10.1016/j.celrep.2022.111451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 09/04/2022] [Accepted: 09/14/2022] [Indexed: 11/19/2022] Open
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12
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Hersbach BA, Fischer DS, Masserdotti G, Deeksha, Mojžišová K, Waltzhöni T, Rodriguez-Terrones D, Heinig M, Theis FJ, Götz M, Stricker SH. Probing cell identity hierarchies by fate titration and collision during direct reprogramming. Mol Syst Biol 2022; 18:e11129. [PMID: 36106915 PMCID: PMC9476893 DOI: 10.15252/msb.202211129] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/01/2022] [Accepted: 08/17/2022] [Indexed: 11/17/2022] Open
Abstract
Despite the therapeutic promise of direct reprogramming, basic principles concerning fate erasure and the mechanisms to resolve cell identity conflicts remain unclear. To tackle these fundamental questions, we established a single‐cell protocol for the simultaneous analysis of multiple cell fate conversion events based on combinatorial and traceable reprogramming factor expression: Collide‐seq. Collide‐seq revealed the lack of a common mechanism through which fibroblast‐specific gene expression loss is initiated. Moreover, we found that the transcriptome of converting cells abruptly changes when a critical level of each reprogramming factor is attained, with higher or lower levels not contributing to major changes. By simultaneously inducing multiple competing reprogramming factors, we also found a deterministic system, in which titration of fates against each other yields dominant or colliding fates. By investigating one collision in detail, we show that reprogramming factors can disturb cell identity programs independent of their ability to bind their target genes. Taken together, Collide‐seq has shed light on several fundamental principles of fate conversion that may aid in improving current reprogramming paradigms.
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Affiliation(s)
- Bob A Hersbach
- Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,Division of Physiological Genomics, Biomedical Center Munich, Ludwig-Maximilians University, Munich, Germany.,Graduate School of Systemic Neurosciences, Biocenter, Ludwig-Maximilians University, Munich, Germany
| | - David S Fischer
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.,Department of Informatics, Technical University of Munich, Munich, Germany
| | - Giacomo Masserdotti
- Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,Division of Physiological Genomics, Biomedical Center Munich, Ludwig-Maximilians University, Munich, Germany
| | - Deeksha
- Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,Division of Physiological Genomics, Biomedical Center Munich, Ludwig-Maximilians University, Munich, Germany
| | - Karolina Mojžišová
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany
| | - Thomas Waltzhöni
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,Core Facility Genomics, Helmholtz Zentrum München, Oberschleißheim, Germany
| | - Diego Rodriguez-Terrones
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany
| | - Matthias Heinig
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,Department of Informatics, Technical University of Munich, Munich, Germany
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.,Department of Informatics, Technical University of Munich, Munich, Germany.,German Excellence Cluster of Systems Neurology, Biomedical Center Munich, Munich, Germany
| | - Magdalena Götz
- Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,Division of Physiological Genomics, Biomedical Center Munich, Ludwig-Maximilians University, Munich, Germany.,German Excellence Cluster of Systems Neurology, Biomedical Center Munich, Munich, Germany
| | - Stefan H Stricker
- Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.,Division of Physiological Genomics, Biomedical Center Munich, Ludwig-Maximilians University, Munich, Germany
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13
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Ren R, Fan Y, Peng Z, Wang S, Jiang Y, Fu L, Cao J, Zhao S, Wang H. Characterization and perturbation of CTCF-mediated chromatin interactions for enhancing myogenic transdifferentiation. Cell Rep 2022; 40:111206. [PMID: 35977522 DOI: 10.1016/j.celrep.2022.111206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/21/2022] [Accepted: 07/22/2022] [Indexed: 11/03/2022] Open
Abstract
Expression of key transcription factors can induce transdifferentiation in somatic cells; however, this conversion is usually incomplete due to undefined intrinsic barriers. Here, we employ MyoD-induced transdifferentiation of fibroblasts as a model to illustrate the chromatin structures that impede the cell-fate transition. Focusing on the three-dimensional (3D) chromatin interactions, we show that MyoD directly establishes chromatin loops to activate myogenic transcriptional program. Similarly, dynamic changes of CTCF-mediated chromatin interactions are favorable for fibroblast-to-myoblast conversion. However, a substantial portion of CTCF-mediated chromatin interactions remain stable, and the associated genes are steady in expression and enriched for fibroblast function that may restrict cell-identity transformation. Temporal CTCF depletion can interrupt the resistant chromatin loops to enhance myogenic transdifferentiation in mice, pig, and chicken fibroblasts. Therefore, during induced transdifferentiation, the transcription factor can directly reorganize the 3D chromatin interactions, and perturbation of CTCF-mediated genome topology may resolve the limitations of cell fate transitions.
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Affiliation(s)
- Ruimin Ren
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China; College of Animal Science and Technology, Shandong Agricultural University, Taian, China
| | - Yu Fan
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Zhelun Peng
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Sheng Wang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yunqi Jiang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Liangliang Fu
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jianhua Cao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Heng Wang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China; College of Animal Science and Technology, Shandong Agricultural University, Taian, China.
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14
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Kuang J, Huang T, Pei D. The Art of Reprogramming for Regenerative Medicine. Front Cell Dev Biol 2022; 10:927555. [PMID: 35846373 PMCID: PMC9280648 DOI: 10.3389/fcell.2022.927555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/08/2022] [Indexed: 11/13/2022] Open
Abstract
Traditional pharmaceuticals in the forms of small chemical compounds or macromolecules such as proteins or RNAs have provided lifesaving solutions to many acute and chronic conditions to date. However, there are still many unmet medical needs, especially those of degenerative nature. The advent of cell-based therapy holds the promise to meet these challenges. In this review, we highlight a relatively new paradigm for generating or regenerating functional cells for replacement therapy against conditions such as type I diabetes, myocardial infarction, neurodegenerative diseases and liver fibrosis. We focus on the latest progresses in cellular reprogramming for generating diverse functional cell types. We will also discuss the mechanisms involved and conclude with likely general principles underlying reprogramming.
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Affiliation(s)
- Junqi Kuang
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, China
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
| | - Tao Huang
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, China
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
- College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Duanqing Pei
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, China
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
- *Correspondence: Duanqing Pei,
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15
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Kim I, Ghosh A, Bundschuh N, Hinte L, Petrosyan E, von Meyenn F, Bar-Nur O. Integrative molecular roadmap for direct conversion of fibroblasts into myocytes and myogenic progenitor cells. Sci Adv 2022; 8:eabj4928. [PMID: 35385316 PMCID: PMC8986113 DOI: 10.1126/sciadv.abj4928] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 02/15/2022] [Indexed: 06/14/2023]
Abstract
Transient MyoD overexpression in concert with small molecule treatment reprograms mouse fibroblasts into induced myogenic progenitor cells (iMPCs). However, the molecular landscape and mechanisms orchestrating this cellular conversion remain unknown. Here, we undertook an integrative multiomics approach to delineate the process of iMPC reprogramming in comparison to myogenic transdifferentiation mediated solely by MyoD. Using transcriptomics, proteomics, and genome-wide chromatin accessibility assays, we unravel distinct molecular trajectories that govern the two processes. Notably, only iMPC reprogramming is characterized by gradual up-regulation of muscle stem cell markers, unique signaling pathways, and chromatin remodelers in conjunction with exclusive chromatin opening in core myogenic promoters. In addition, we determine that the Notch pathway is indispensable for iMPC formation and self-renewal and further use the Notch ligand Dll1 to homogeneously propagate iMPCs. Collectively, this study charts divergent molecular blueprints for myogenic transdifferentiation or reprogramming and underpins the heightened capacity of iMPCs for capturing myogenesis ex vivo.
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Affiliation(s)
- Inseon Kim
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
| | - Adhideb Ghosh
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
- Functional Genomics Center Zurich, ETH Zurich and University of Zurich, Switzerland
| | - Nicola Bundschuh
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
| | - Laura Hinte
- Laboratory of Nutrition and Metabolic Epigenetics, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
| | - Eduard Petrosyan
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
| | - Ferdinand von Meyenn
- Laboratory of Nutrition and Metabolic Epigenetics, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
| | - Ori Bar-Nur
- Laboratory of Regenerative and Movement Biology, Department of Health Sciences and Technology, ETH Zurich, Schwerzenbach, Switzerland
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16
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Ji SF, Zhou LX, Sun ZF, Xiang JB, Cui SY, Li Y, Chen HT, Liu YQ, Gao HH, Fu XB, Sun XY. Small molecules facilitate single factor-mediated sweat gland cell reprogramming. Mil Med Res 2022; 9:13. [PMID: 35351192 PMCID: PMC8962256 DOI: 10.1186/s40779-022-00372-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 02/24/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Large skin defects severely disrupt the overall skin structure and can irreversibly damage sweat glands (SG), thus impairing the skin's physiological function. This study aims to develop a stepwise reprogramming strategy to convert fibroblasts into SG lineages, which may provide a promising method to obtain desirable cell types for the functional repair and regeneration of damaged skin. METHODS The expression of the SG markers cytokeratin 5 (CK5), cytokeratin 10 (CK10), cytokeratin 18 (CK18), carcino-embryonic antigen (CEA), aquaporin 5 (AQP5) and α-smooth muscle actin (α-SMA) was assessed with quantitative PCR (qPCR), immunofluorescence and flow cytometry. Calcium activity analysis was conducted to test the function of induced SG-like cells (iSGCs). Mouse xenograft models were also used to evaluate the in vivo regeneration of iSGCs. BALB/c nude mice were randomly divided into a normal group, SGM treatment group and iSGC transplantation group. Immunocytochemical analyses and starch-iodine sweat tests were used to confirm the in vivo regeneration of iSGCs. RESULTS EDA overexpression drove HDF conversion into iSGCs in SG culture medium (SGM). qPCR indicated significantly increased mRNA levels of the SG markers CK5, CK18 and CEA in iSGCs, and flow cytometry data demonstrated (4.18 ± 0.04)% of iSGCs were CK5 positive and (4.36 ± 0.25)% of iSGCs were CK18 positive. The addition of chemical cocktails greatly accelerated the SG fate program. qPCR results revealed significantly increased mRNA expression of CK5, CK18 and CEA in iSGCs, as well as activation of the duct marker CK10 and luminal functional marker AQP5. Flow cytometry indicated, after the treatment of chemical cocktails, (23.05 ± 2.49)% of iSGCs expressed CK5+ and (55.79 ± 3.18)% of iSGCs expressed CK18+, respectively. Calcium activity analysis indicated that the reactivity of iSGCs to acetylcholine was close to that of primary SG cells [(60.79 ± 7.71)% vs. (70.59 ± 0.34)%, ns]. In vivo transplantation experiments showed approximately (5.2 ± 1.1)% of the mice were sweat test positive, and the histological analysis results indicated that regenerated SG structures were present in iSGCs-treated mice. CONCLUSION We developed a SG reprogramming strategy to generate functional iSGCs from HDFs by using the single factor EDA in combination with SGM and small molecules. The generation of iSGCs has important implications for future in situ skin regeneration with SG restoration.
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Affiliation(s)
- Shuai-Fei Ji
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China.,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China
| | - Lai-Xian Zhou
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China.,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China
| | - Zhi-Feng Sun
- Department of Respiratory, The Second Medical Center, Chinese PLA General Hospital, Beijing, 100036, China
| | - Jiang-Bing Xiang
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China.,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China.,Bioengineering College of Chongqing University, Chongqing, 400044, China
| | - Shao-Yuan Cui
- Department of Nephrology, The First Medical Center, Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, Beijing, 100048, China
| | - Yan Li
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China.,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China
| | - Hua-Ting Chen
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China.,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China
| | - Yi-Qiong Liu
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China.,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China
| | - Huan-Huan Gao
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China.,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China
| | - Xiao-Bing Fu
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China. .,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China.
| | - Xiao-Yan Sun
- Research Center for Tissue Repair and Regeneration Affiliated To Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, 28 Fu Xing Road, Beijing, 100853, China. .,Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, China.
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