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A cellular and molecular spatial atlas of dystrophic muscle
Asynchronous skeletal muscle degeneration/regeneration is a hallmark feature of Duchenne muscular dystrophy (DMD); however, traditional -omics technologies that lack spatial context make it difficult to study the biological mechanisms of how asynchronous regeneration contributes to disease progressi...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629561/ https://www.ncbi.nlm.nih.gov/pubmed/37410813 http://dx.doi.org/10.1073/pnas.2221249120 |
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author | Stec, Michael J. Su, Qi Adler, Christina Zhang, Lance Golann, David R. Khan, Naveen P. Panagis, Lampros Villalta, S. Armando Ni, Min Wei, Yi Walls, Johnathon R. Murphy, Andrew J. Yancopoulos, George D. Atwal, Gurinder S. Kleiner, Sandra Halasz, Gabor Sleeman, Mark W. |
author_facet | Stec, Michael J. Su, Qi Adler, Christina Zhang, Lance Golann, David R. Khan, Naveen P. Panagis, Lampros Villalta, S. Armando Ni, Min Wei, Yi Walls, Johnathon R. Murphy, Andrew J. Yancopoulos, George D. Atwal, Gurinder S. Kleiner, Sandra Halasz, Gabor Sleeman, Mark W. |
author_sort | Stec, Michael J. |
collection | PubMed |
description | Asynchronous skeletal muscle degeneration/regeneration is a hallmark feature of Duchenne muscular dystrophy (DMD); however, traditional -omics technologies that lack spatial context make it difficult to study the biological mechanisms of how asynchronous regeneration contributes to disease progression. Here, using the severely dystrophic D2-mdx mouse model, we generated a high-resolution cellular and molecular spatial atlas of dystrophic muscle by integrating spatial transcriptomics and single-cell RNAseq datasets. Unbiased clustering revealed nonuniform distribution of unique cell populations throughout D2-mdx muscle that were associated with multiple regenerative timepoints, demonstrating that this model faithfully recapitulates the asynchronous regeneration observed in human DMD muscle. By probing spatiotemporal gene expression signatures, we found that propagation of inflammatory and fibrotic signals from locally damaged areas contributes to widespread pathology and that querying expression signatures within discrete microenvironments can identify targetable pathways for DMD therapy. Overall, this spatial atlas of dystrophic muscle provides a valuable resource for studying DMD disease biology and therapeutic target discovery. |
format | Online Article Text |
id | pubmed-10629561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-106295612023-11-08 A cellular and molecular spatial atlas of dystrophic muscle Stec, Michael J. Su, Qi Adler, Christina Zhang, Lance Golann, David R. Khan, Naveen P. Panagis, Lampros Villalta, S. Armando Ni, Min Wei, Yi Walls, Johnathon R. Murphy, Andrew J. Yancopoulos, George D. Atwal, Gurinder S. Kleiner, Sandra Halasz, Gabor Sleeman, Mark W. Proc Natl Acad Sci U S A Biological Sciences Asynchronous skeletal muscle degeneration/regeneration is a hallmark feature of Duchenne muscular dystrophy (DMD); however, traditional -omics technologies that lack spatial context make it difficult to study the biological mechanisms of how asynchronous regeneration contributes to disease progression. Here, using the severely dystrophic D2-mdx mouse model, we generated a high-resolution cellular and molecular spatial atlas of dystrophic muscle by integrating spatial transcriptomics and single-cell RNAseq datasets. Unbiased clustering revealed nonuniform distribution of unique cell populations throughout D2-mdx muscle that were associated with multiple regenerative timepoints, demonstrating that this model faithfully recapitulates the asynchronous regeneration observed in human DMD muscle. By probing spatiotemporal gene expression signatures, we found that propagation of inflammatory and fibrotic signals from locally damaged areas contributes to widespread pathology and that querying expression signatures within discrete microenvironments can identify targetable pathways for DMD therapy. Overall, this spatial atlas of dystrophic muscle provides a valuable resource for studying DMD disease biology and therapeutic target discovery. National Academy of Sciences 2023-07-06 2023-07-18 /pmc/articles/PMC10629561/ /pubmed/37410813 http://dx.doi.org/10.1073/pnas.2221249120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Stec, Michael J. Su, Qi Adler, Christina Zhang, Lance Golann, David R. Khan, Naveen P. Panagis, Lampros Villalta, S. Armando Ni, Min Wei, Yi Walls, Johnathon R. Murphy, Andrew J. Yancopoulos, George D. Atwal, Gurinder S. Kleiner, Sandra Halasz, Gabor Sleeman, Mark W. A cellular and molecular spatial atlas of dystrophic muscle |
title | A cellular and molecular spatial atlas of dystrophic muscle |
title_full | A cellular and molecular spatial atlas of dystrophic muscle |
title_fullStr | A cellular and molecular spatial atlas of dystrophic muscle |
title_full_unstemmed | A cellular and molecular spatial atlas of dystrophic muscle |
title_short | A cellular and molecular spatial atlas of dystrophic muscle |
title_sort | cellular and molecular spatial atlas of dystrophic muscle |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629561/ https://www.ncbi.nlm.nih.gov/pubmed/37410813 http://dx.doi.org/10.1073/pnas.2221249120 |
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