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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...
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/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) |
format | Online Article Text |
id | pubmed-10491723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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