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Measuring the transcriptome-wide effects of aging on murine adipocytes using RNAseq
Adipose tissue plays a central role in age-related diseases. While RNAseq protocols exist for many tissues, few data have been generated with this technology to explore gene expression in adipocytes, particularly during aging. Here, we present a protocol to analyze the transcriptional changes that o...
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/PMC10328976/ https://www.ncbi.nlm.nih.gov/pubmed/37393615 http://dx.doi.org/10.1016/j.xpro.2023.102397 |
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author | De Cauwer, Aurore Pichot, Angélique Molitor, Anne Stemmelen, Tristan Carapito, Raphael Bahram, Seiamak Georgel, Philippe |
author_facet | De Cauwer, Aurore Pichot, Angélique Molitor, Anne Stemmelen, Tristan Carapito, Raphael Bahram, Seiamak Georgel, Philippe |
author_sort | De Cauwer, Aurore |
collection | PubMed |
description | Adipose tissue plays a central role in age-related diseases. While RNAseq protocols exist for many tissues, few data have been generated with this technology to explore gene expression in adipocytes, particularly during aging. Here, we present a protocol to analyze the transcriptional changes that occur in adipose tissue during normal and accelerated aging in mouse models. We describe steps for genotyping, diet control, euthanasia, and dissection. We then detail RNA purification and genome-wide data generation and analysis. For complete details on the use and execution of this protocol, please refer to De Cauwer et al. (2022) iScience. Sep 16;25(10):105149. |
format | Online Article Text |
id | pubmed-10328976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103289762023-07-09 Measuring the transcriptome-wide effects of aging on murine adipocytes using RNAseq De Cauwer, Aurore Pichot, Angélique Molitor, Anne Stemmelen, Tristan Carapito, Raphael Bahram, Seiamak Georgel, Philippe STAR Protoc Protocol Adipose tissue plays a central role in age-related diseases. While RNAseq protocols exist for many tissues, few data have been generated with this technology to explore gene expression in adipocytes, particularly during aging. Here, we present a protocol to analyze the transcriptional changes that occur in adipose tissue during normal and accelerated aging in mouse models. We describe steps for genotyping, diet control, euthanasia, and dissection. We then detail RNA purification and genome-wide data generation and analysis. For complete details on the use and execution of this protocol, please refer to De Cauwer et al. (2022) iScience. Sep 16;25(10):105149. Elsevier 2023-07-01 /pmc/articles/PMC10328976/ /pubmed/37393615 http://dx.doi.org/10.1016/j.xpro.2023.102397 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 De Cauwer, Aurore Pichot, Angélique Molitor, Anne Stemmelen, Tristan Carapito, Raphael Bahram, Seiamak Georgel, Philippe Measuring the transcriptome-wide effects of aging on murine adipocytes using RNAseq |
title | Measuring the transcriptome-wide effects of aging on murine adipocytes using RNAseq |
title_full | Measuring the transcriptome-wide effects of aging on murine adipocytes using RNAseq |
title_fullStr | Measuring the transcriptome-wide effects of aging on murine adipocytes using RNAseq |
title_full_unstemmed | Measuring the transcriptome-wide effects of aging on murine adipocytes using RNAseq |
title_short | Measuring the transcriptome-wide effects of aging on murine adipocytes using RNAseq |
title_sort | measuring the transcriptome-wide effects of aging on murine adipocytes using rnaseq |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328976/ https://www.ncbi.nlm.nih.gov/pubmed/37393615 http://dx.doi.org/10.1016/j.xpro.2023.102397 |
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