Published August 31, 2023 | Version v1
Journal article Open

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

  • 1. University of Chicago

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).

Data availability

The accession number of the raw and processed data for single-cell RNA sequencing has been deposited in GEO. DOIs are listed in the key resources table. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

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Protocol-to-analyze-single-cell-RNA-seq-data.pdf

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Additional details

Identifiers

DOI
10.1016/j.xpro.2023.102544
Other
oai:uchicago.tind.io:7770

Funding

University of Chicago
National Institutes of Health
HL105427
National Institutes of Health
AI111914
National Institutes of Health
AI134236
National Institutes of Health
AI155024
National Institutes of Health
AI123780

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Microbiology