scholarly journals High-dimensional single-cell cartography reveals novel skeletal muscle resident cell populations

2018 ◽  
Author(s):  
Lorenzo Giordani ◽  
Gary J. He ◽  
Elisa Negroni ◽  
Hiroshi Sakai ◽  
Justin Y. C. Law ◽  
...  

AbstractAdult tissue repair and regeneration require the activation of resident stem/progenitor cells that can self-renew and generate differentiated progeny. The regenerative capacity of skeletal muscle relies on muscle satellite cells (MuSCs) and their interplay with different cell types within the niche. Yet, our understanding of the cells that compose the skeletal muscle tissue is limited and molecular definitions of the principal cell types are lacking. Using a combined approach of single-cell RNA-sequencing and mass cytometry, we precisely mapped the different cell types in adult skeletal muscle tissue and highlighted previously overlooked populations. We identified known functional populations, characterized their gene signatures, and determined key markers. Among the ten main cell populations present in skeletal muscle, we found an unexpected complexity in the interstitial compartment and identified two new cell populations. One express the transcription factor Scleraxis and generate tenocyte-like cells. The second express smooth muscle and mesenchymal cell markers (SMMCs). While distinct from MuSCs, SMMCs are endowed with myogenic potential and promote MuSC engraftment following transplantation. Our high-dimensional single-cell atlas uncovers principles of an adult tissue composition and can be exploited to reveal unknown cellular sub-fractions that contribute to tissue regeneration.

2021 ◽  
Vol 22 (11) ◽  
pp. 5929
Author(s):  
Emine Alarcin ◽  
Ayca Bal-Öztürk ◽  
Hüseyin Avci ◽  
Hamed Ghorbanpoor ◽  
Fatma Dogan Guzel ◽  
...  

Traumatic injuries, tumor resections, and degenerative diseases can damage skeletal muscle and lead to functional impairment and severe disability. Skeletal muscle regeneration is a complex process that depends on various cell types, signaling molecules, architectural cues, and physicochemical properties to be successful. To promote muscle repair and regeneration, various strategies for skeletal muscle tissue engineering have been developed in the last decades. However, there is still a high demand for the development of new methods and materials that promote skeletal muscle repair and functional regeneration to bring approaches closer to therapies in the clinic that structurally and functionally repair muscle. The combination of stem cells, biomaterials, and biomolecules is used to induce skeletal muscle regeneration. In this review, we provide an overview of different cell types used to treat skeletal muscle injury, highlight current strategies in biomaterial-based approaches, the importance of topography for the successful creation of functional striated muscle fibers, and discuss novel methods for muscle regeneration and challenges for their future clinical implementation.


The Analyst ◽  
2020 ◽  
Vol 145 (21) ◽  
pp. 6901-6909 ◽  
Author(s):  
Zhe Song ◽  
Zhaoying Wang ◽  
Hansen Zhao ◽  
Lesi Cai ◽  
Zhanping Li ◽  
...  

Skeletal muscle tissue is composed of various fiber types which differ in metabolic capacities. TOF-SIMS was combined with immunofluorescent staining to investigate metabolic fingerprints among different cell types in mouse skeletal muscle tissue.


Author(s):  
Lorenzo Giordani ◽  
Gary J. He ◽  
Elisa Negroni ◽  
Hiroshi Sakai ◽  
Justin Y. C. Law ◽  
...  

2014 ◽  
Vol 116 (5) ◽  
pp. 926-935 ◽  
Author(s):  
Mirca Marini ◽  
Stefano Ambrosini ◽  
Erica Sarchielli ◽  
Giorgia Donata Zappoli Thyrion ◽  
Laura Bonaccini ◽  
...  

2021 ◽  
Vol 30 (4) ◽  
pp. 444-452
Author(s):  
Kyung-Wan Baek ◽  
So-Jeong Kim ◽  
Ji-Seok Kim ◽  
Sun-Ok Kwon

PURPOSE: This study evaluates the differences in the expression of genes frequently analyzed in the field of exercise science between the skeletal muscle tissue and various cell types that comprise the skeletal muscle tissue.METHODS: We summarized the genes and proteins expressed in the skeletal muscle that were published in “Exercise Science” journal from 2015 to present. Thereafter, we selected 15 genes and proteins that were the most analyzed genes and proteins in the skeletal muscle. These genes and proteins were horizontally compared for expression differences in skeletal muscle components and cultured cells based on NCBI Gene Expression Omnibus DataSets.RESULTS: The most analyzed genes (encoding analyzed proteins) in skeletal muscle tissues in “Exercise Science” were PPARGC1A, PPARD, MTOR, MAP1LC3A, MAP1LC3B, PRKAA1, AKT1, SLC2A4, MAPK1, COX4I1, MAPK14, MEF2A, MAPK8, RPS6KB1, and SOD1. Among them, PPARGC1A, AKT1, SLC2A4, MAPK1, and COX4I1 were specifically expressed in the skeletal muscle. However, expression of other genes was found to be significantly affected in other cell types of the skeletal muscle tissue.CONCLUSIONS: Genes such as PPARGC1A, which are specifically expressed in the skeletal muscle, may be analyzed without pretreating (such as perfusion) the skeletal muscle tissue. However, expression of other genes may depend on the skeletal muscle cell type. Thus, in such instances, pretreatment, such as perfusion and isolation, should be considered.


2019 ◽  
Author(s):  
Andrea J. De Micheli ◽  
Paula Fraczek ◽  
Sharon Soueid-Baumgarten ◽  
Hiranmayi Ravichandran ◽  
Iwijn De Vlaminck ◽  
...  

AbstractMuscle stem cells (MuSCs) are an essential adult stem cell population with the capacity to self-renew and regenerate muscle tissue. Functionally heterogeneous subpopulations of MuSCs have been identified based on their expression of myogenic regulatory factors and surface markers. However, a unified organization of muscle stem and progenitor cells and their subpopulations remains unresolved. Here, we performed temporal analysis of skeletal muscle regeneration using single-cell RNA-sequencing (scRNA-seq) of myotoxin-injured adult mouse hindlimb muscles. We generated over 34,000 single-cell transcriptomes spanning four muscle regeneration time-points and identified 15 distinct cell types, including a heterogeneous population of MuSCs and progenitor cells. Our analysis provides a hierarchical map of myogenic cell populations and identifies stage-specific regulatory programs that govern their contributions to muscle regeneration. In this transcriptomic atlas, we observed cell type-specific regenerative dynamics, exemplified by waves of transient amplification and diversification of multiple immune cell types and, subsequently, myogenic cells. Unbiased trajectory inference organized the myogenic cell populations within the atlas into a continuum, consisting of a hierarchy of quiescent MuSCs, cycling progenitors, committed myoblasts, and terminally differentiated myocytes. This myogenic trajectory matched prior understanding and also revealed that MuSC stages are defined by synchronous changes in regulatory factors, cell cycle-associated, and surface receptor gene expression. Lastly, we analyzed the transcriptomic atlas to identify over 100 candidate heterotypic communication signals between myogenic and non-myogenic cell populations, including many involving the fibroblast growth factor (FGF), Notch, and Syndecan receptor families and their associated ligands. Syndecan receptors were implicated in a large fraction of these cell communication interactions and were observed to exhibit transcriptional heterogeneity within the myogenic continuum. Using multiparameter mass cytometry (CyTOF), we confirmed that cycling MuSCs exhibit diversified Syndecan-1/2 expression, which suggests that dynamic alterations in Syndecan signaling interactions may coordinate stage-specific myogenic cell fate regulation. This scRNA-seq reference atlas provides a resolved hierarchical organization of myogenic subpopulations as a resource to investigate cell-cell interactions that regulate myogenic stem and progenitor cell fates in muscle regeneration.


2019 ◽  
Vol 74 (3) ◽  
pp. 609-621.e6 ◽  
Author(s):  
Lorenzo Giordani ◽  
Gary J. He ◽  
Elisa Negroni ◽  
Hiroshi Sakai ◽  
Justin Y.C. Law ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document