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Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice
Efficient skeletal muscle regeneration necessitates fine-tuned coordination among multiple cell types through an intricate network of intercellular communication. We present a protocol for generation of a time-resolved cellular interactome during tissue remodeling. We describe steps for isolating di...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583169/ https://www.ncbi.nlm.nih.gov/pubmed/37831606 http://dx.doi.org/10.1016/j.xpro.2023.102638 |
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author | Groppa, Elena Tung, Lin Wei Mattevi, Stefania Ritso, Morten Rossi, Fabio M.V. Martini, Paolo |
author_facet | Groppa, Elena Tung, Lin Wei Mattevi, Stefania Ritso, Morten Rossi, Fabio M.V. Martini, Paolo |
author_sort | Groppa, Elena |
collection | PubMed |
description | Efficient skeletal muscle regeneration necessitates fine-tuned coordination among multiple cell types through an intricate network of intercellular communication. We present a protocol for generation of a time-resolved cellular interactome during tissue remodeling. We describe steps for isolating distinct cell populations from skeletal muscle of adult mice after acute damage and extracting RNA from purified cells prior to the generation of RNA sequencing data. We then detail procedures for generating and deciphering a time- and lineage-resolved model of intercellular crosstalk. For complete details on the use and execution of this protocol, please refer to Groppa et al. (2023).(1) |
format | Online Article Text |
id | pubmed-10583169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105831692023-10-19 Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice Groppa, Elena Tung, Lin Wei Mattevi, Stefania Ritso, Morten Rossi, Fabio M.V. Martini, Paolo STAR Protoc Protocol Efficient skeletal muscle regeneration necessitates fine-tuned coordination among multiple cell types through an intricate network of intercellular communication. We present a protocol for generation of a time-resolved cellular interactome during tissue remodeling. We describe steps for isolating distinct cell populations from skeletal muscle of adult mice after acute damage and extracting RNA from purified cells prior to the generation of RNA sequencing data. We then detail procedures for generating and deciphering a time- and lineage-resolved model of intercellular crosstalk. For complete details on the use and execution of this protocol, please refer to Groppa et al. (2023).(1) Elsevier 2023-10-11 /pmc/articles/PMC10583169/ /pubmed/37831606 http://dx.doi.org/10.1016/j.xpro.2023.102638 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Groppa, Elena Tung, Lin Wei Mattevi, Stefania Ritso, Morten Rossi, Fabio M.V. Martini, Paolo Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice |
title | Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice |
title_full | Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice |
title_fullStr | Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice |
title_full_unstemmed | Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice |
title_short | Protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice |
title_sort | protocol for generation of a time-resolved cellular interactome during tissue remodeling in adult mice |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583169/ https://www.ncbi.nlm.nih.gov/pubmed/37831606 http://dx.doi.org/10.1016/j.xpro.2023.102638 |
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