Circadian transcriptome processing and analysis: a workflow for muscle stem cells

Circadian rhythms coordinate biological processes with Earth's 24‐h daily light/dark cycle. In the last years, efforts in the field of chronobiology have sought to understand the ways in which the circadian clock controls transcription across tissues and cells. This has been supported by the de...

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Autores principales: Sica, Valentina, Deryagin, Oleg, Smith, Jacob G., Muñoz‐Canoves, Pura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315756/
https://www.ncbi.nlm.nih.gov/pubmed/37394994
http://dx.doi.org/10.1002/2211-5463.13629
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author Sica, Valentina
Deryagin, Oleg
Smith, Jacob G.
Muñoz‐Canoves, Pura
author_facet Sica, Valentina
Deryagin, Oleg
Smith, Jacob G.
Muñoz‐Canoves, Pura
author_sort Sica, Valentina
collection PubMed
description Circadian rhythms coordinate biological processes with Earth's 24‐h daily light/dark cycle. In the last years, efforts in the field of chronobiology have sought to understand the ways in which the circadian clock controls transcription across tissues and cells. This has been supported by the development of different bioinformatic approaches that allow the identification of 24‐h oscillating transcripts. This workflow aims to describe how to isolate muscle stem cells for RNA sequencing analysis from a typical circadian experiment and introduces bioinformatic tools suitable for the analysis of circadian transcriptomes.
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spelling pubmed-103157562023-07-04 Circadian transcriptome processing and analysis: a workflow for muscle stem cells Sica, Valentina Deryagin, Oleg Smith, Jacob G. Muñoz‐Canoves, Pura FEBS Open Bio Research Protocol Circadian rhythms coordinate biological processes with Earth's 24‐h daily light/dark cycle. In the last years, efforts in the field of chronobiology have sought to understand the ways in which the circadian clock controls transcription across tissues and cells. This has been supported by the development of different bioinformatic approaches that allow the identification of 24‐h oscillating transcripts. This workflow aims to describe how to isolate muscle stem cells for RNA sequencing analysis from a typical circadian experiment and introduces bioinformatic tools suitable for the analysis of circadian transcriptomes. John Wiley and Sons Inc. 2023-05-20 /pmc/articles/PMC10315756/ /pubmed/37394994 http://dx.doi.org/10.1002/2211-5463.13629 Text en © 2023 The Authors. FEBS Open Bio published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Protocol
Sica, Valentina
Deryagin, Oleg
Smith, Jacob G.
Muñoz‐Canoves, Pura
Circadian transcriptome processing and analysis: a workflow for muscle stem cells
title Circadian transcriptome processing and analysis: a workflow for muscle stem cells
title_full Circadian transcriptome processing and analysis: a workflow for muscle stem cells
title_fullStr Circadian transcriptome processing and analysis: a workflow for muscle stem cells
title_full_unstemmed Circadian transcriptome processing and analysis: a workflow for muscle stem cells
title_short Circadian transcriptome processing and analysis: a workflow for muscle stem cells
title_sort circadian transcriptome processing and analysis: a workflow for muscle stem cells
topic Research Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315756/
https://www.ncbi.nlm.nih.gov/pubmed/37394994
http://dx.doi.org/10.1002/2211-5463.13629
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