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A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung

Processing and analyzing single-cell RNA-seq (scRNA-seq) from lung cells are challenging due to the complexity of cell subtypes and biological variations within sample groups. Here, we present a protocol for performing an in-depth assessment on lung lymphocyte populations derived from healthy and My...

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Detalles Bibliográficos
Autores principales: Akter, Sadia, Khader, Shabaana A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491723/
https://www.ncbi.nlm.nih.gov/pubmed/37659083
http://dx.doi.org/10.1016/j.xpro.2023.102544
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author Akter, Sadia
Khader, Shabaana A.
author_facet Akter, Sadia
Khader, Shabaana A.
author_sort Akter, Sadia
collection PubMed
description Processing and analyzing single-cell RNA-seq (scRNA-seq) from lung cells are challenging due to the complexity of cell subtypes and biological variations within sample groups. Here, we present a protocol for performing an in-depth assessment on lung lymphocyte populations derived from healthy and Mycobacterium tuberculosis-infected mice. We describe steps for downloading processed scRNA-seq data, integrating samples across different conditions, and performing cluster analysis. We then detail procedures for identifying lymphoid cell subtypes, differential analysis, and pathway enrichment analysis. For complete details on the use and execution of this protocol, please refer to Akter et al. (2022).(1)
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spelling pubmed-104917232023-09-10 A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung Akter, Sadia Khader, Shabaana A. STAR Protoc Protocol Processing and analyzing single-cell RNA-seq (scRNA-seq) from lung cells are challenging due to the complexity of cell subtypes and biological variations within sample groups. Here, we present a protocol for performing an in-depth assessment on lung lymphocyte populations derived from healthy and Mycobacterium tuberculosis-infected mice. We describe steps for downloading processed scRNA-seq data, integrating samples across different conditions, and performing cluster analysis. We then detail procedures for identifying lymphoid cell subtypes, differential analysis, and pathway enrichment analysis. For complete details on the use and execution of this protocol, please refer to Akter et al. (2022).(1) Elsevier 2023-08-31 /pmc/articles/PMC10491723/ /pubmed/37659083 http://dx.doi.org/10.1016/j.xpro.2023.102544 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
Akter, Sadia
Khader, Shabaana A.
A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung
title A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung
title_full A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung
title_fullStr A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung
title_full_unstemmed A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung
title_short A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung
title_sort protocol to analyze single-cell rna-seq data from mycobacterium tuberculosis-infected mice lung
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491723/
https://www.ncbi.nlm.nih.gov/pubmed/37659083
http://dx.doi.org/10.1016/j.xpro.2023.102544
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