Protocol for multi-modal single-cell RNA sequencing on M. tuberculosis-infected mouse lungs
Davide Pisu1, David G Russell1
1Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA.
STAR Protocols
|February 28, 2023
Summary
This study introduces a new method for analyzing Mycobacterium tuberculosis (Mtb) infection in lung macrophages. The technique allows simultaneous measurement of cell genes, surface proteins, and bacterial traits for deeper insights into infection control.
Area of Science:
- Immunology and Microbiology
- Single-cell genomics
- Infectious disease research
Background:
- Understanding the host immune response to Mycobacterium tuberculosis (Mtb) is crucial for controlling tuberculosis.
- Existing methods lack the ability to comprehensively analyze individual infected immune cells.
- Lung macrophages play a key role in Mtb infection dynamics.
Purpose of the Study:
- To develop and describe a novel multi-modal single-cell RNA sequencing (scRNA-seq) protocol.
- To simultaneously assess the transcriptome, surface marker expression, and bacterial phenotype of Mtb-infected lung macrophages.
- To enable a deeper understanding of immune cell contributions to Mtb infection control or progression.
Main Methods:
- Development of a protocol for multi-modal scRNA-seq on Mtb-infected lung macrophages.
- Inclusion of steps for sorting infected cells, CITE-seq antibody staining, methanol fixation, and scRNA-seq library generation.
- Adaptability of the protocol for use with tissues from murine, nonhuman primate, and human infections.
Main Results:
- Successful implementation of a protocol that integrates transcriptome, surface protein, and bacterial phenotype data at the single-cell level.
- Demonstration of the protocol's utility in analyzing Mtb-infected macrophages.
- Establishment of a versatile technique applicable across different species.
Conclusions:
- The developed multi-modal scRNA-seq protocol provides a powerful tool for dissecting complex host-pathogen interactions in Mtb infection.
- This technique facilitates a more nuanced understanding of how individual immune cells influence tuberculosis disease progression.
- The protocol's cross-species applicability broadens its potential impact on infectious disease research.
Keywords:
BioinformaticsCell BiologyFlow Cytometry/Mass CytometryGenomicsImmunologyMicrobiologySequencingSingle Cell

