Article ; Online: A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung.
STAR protocols
2023 Volume 4, Issue 3, Page(s) 102544
Abstract: 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 ... ...
Abstract | 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). |
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MeSH term(s) | Animals ; Mice ; Mycobacterium tuberculosis/genetics ; Single-Cell Gene Expression Analysis ; Cluster Analysis |
Language | English |
Publishing date | 2023-08-31 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 2666-1667 |
ISSN (online) | 2666-1667 |
DOI | 10.1016/j.xpro.2023.102544 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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