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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-07-01
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| Series: | FEBS Open Bio |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2211-5463.13629 |
| _version_ | 1797789118175903744 |
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| author | Valentina Sica Oleg Deryagin Jacob G. Smith Pura Muñoz‐Canoves |
| author_facet | Valentina Sica Oleg Deryagin Jacob G. Smith Pura Muñoz‐Canoves |
| author_sort | Valentina Sica |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-13T01:46:13Z |
| format | Article |
| id | doaj.art-0203d97655664e9aab4d820c388c4496 |
| institution | Directory Open Access Journal |
| issn | 2211-5463 |
| language | English |
| last_indexed | 2024-03-13T01:46:13Z |
| publishDate | 2023-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | FEBS Open Bio |
| spelling | doaj.art-0203d97655664e9aab4d820c388c44962023-07-03T07:24:35ZengWileyFEBS Open Bio2211-54632023-07-011371228123710.1002/2211-5463.13629Circadian transcriptome processing and analysis: a workflow for muscle stem cellsValentina Sica0Oleg Deryagin1Jacob G. Smith2Pura Muñoz‐Canoves3Department of Medicine and Life Sciences Universitat Pompeu Fabra Barcelona SpainDepartment of Medicine and Life Sciences Universitat Pompeu Fabra Barcelona SpainDepartment of Medicine and Life Sciences Universitat Pompeu Fabra Barcelona SpainDepartment of Medicine and Life Sciences Universitat Pompeu Fabra Barcelona SpainCircadian 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.https://doi.org/10.1002/2211-5463.13629bioinformaticscircadian rhythmsmuscle stem cellssatellite cells |
| spellingShingle | Valentina Sica Oleg Deryagin Jacob G. Smith Pura Muñoz‐Canoves Circadian transcriptome processing and analysis: a workflow for muscle stem cells FEBS Open Bio bioinformatics circadian rhythms muscle stem cells satellite 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 | bioinformatics circadian rhythms muscle stem cells satellite cells |
| url | https://doi.org/10.1002/2211-5463.13629 |
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