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Analysis workflow of publicly available RNA-sequencing datasets

Differential gene expression analysis is widely used to study changes in gene expression profiles between two or more groups of samples (e.g., physiological versus pathological conditions, pre-treatment versus post-treatment, and infected versus non-infected tissues). This protocol aims to identify...

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Autores principales: Sanchis, Pablo, Lavignolle, Rosario, Abbate, Mercedes, Lage-Vickers, Sofía, Vazquez, Elba, Cotignola, Javier, Bizzotto, Juan, Gueron, Geraldine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061314/
https://www.ncbi.nlm.nih.gov/pubmed/33907739
http://dx.doi.org/10.1016/j.xpro.2021.100478
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author Sanchis, Pablo
Lavignolle, Rosario
Abbate, Mercedes
Lage-Vickers, Sofía
Vazquez, Elba
Cotignola, Javier
Bizzotto, Juan
Gueron, Geraldine
author_facet Sanchis, Pablo
Lavignolle, Rosario
Abbate, Mercedes
Lage-Vickers, Sofía
Vazquez, Elba
Cotignola, Javier
Bizzotto, Juan
Gueron, Geraldine
author_sort Sanchis, Pablo
collection PubMed
description Differential gene expression analysis is widely used to study changes in gene expression profiles between two or more groups of samples (e.g., physiological versus pathological conditions, pre-treatment versus post-treatment, and infected versus non-infected tissues). This protocol aims to identify gene expression changes in a pre-selected set of genes associated with severe acute respiratory syndrome coronavirus 2 viral infection and host cell antiviral response, as well as subsequent gene expression association with phenotypic features using samples deposited in public repositories. For complete details on the use and outcome of this informatics analysis, please refer to Bizzotto et al. (2020).
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spelling pubmed-80613142021-04-23 Analysis workflow of publicly available RNA-sequencing datasets Sanchis, Pablo Lavignolle, Rosario Abbate, Mercedes Lage-Vickers, Sofía Vazquez, Elba Cotignola, Javier Bizzotto, Juan Gueron, Geraldine STAR Protoc Protocol Differential gene expression analysis is widely used to study changes in gene expression profiles between two or more groups of samples (e.g., physiological versus pathological conditions, pre-treatment versus post-treatment, and infected versus non-infected tissues). This protocol aims to identify gene expression changes in a pre-selected set of genes associated with severe acute respiratory syndrome coronavirus 2 viral infection and host cell antiviral response, as well as subsequent gene expression association with phenotypic features using samples deposited in public repositories. For complete details on the use and outcome of this informatics analysis, please refer to Bizzotto et al. (2020). Elsevier 2021-04-22 /pmc/articles/PMC8061314/ /pubmed/33907739 http://dx.doi.org/10.1016/j.xpro.2021.100478 Text en © 2021 The Author(s) 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
Sanchis, Pablo
Lavignolle, Rosario
Abbate, Mercedes
Lage-Vickers, Sofía
Vazquez, Elba
Cotignola, Javier
Bizzotto, Juan
Gueron, Geraldine
Analysis workflow of publicly available RNA-sequencing datasets
title Analysis workflow of publicly available RNA-sequencing datasets
title_full Analysis workflow of publicly available RNA-sequencing datasets
title_fullStr Analysis workflow of publicly available RNA-sequencing datasets
title_full_unstemmed Analysis workflow of publicly available RNA-sequencing datasets
title_short Analysis workflow of publicly available RNA-sequencing datasets
title_sort analysis workflow of publicly available rna-sequencing datasets
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061314/
https://www.ncbi.nlm.nih.gov/pubmed/33907739
http://dx.doi.org/10.1016/j.xpro.2021.100478
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