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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
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.
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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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