Protocol for multi-modal single-cell RNA sequencing on M. tuberculosis-infected mouse lungs.

Bioinformatics Cell Biology Flow Cytometry/Mass Cytometry Genomics Immunology Microbiology Sequencing Single Cell

Journal

STAR protocols
ISSN: 2666-1667
Titre abrégé: STAR Protoc
Pays: United States
ID NLM: 101769501

Informations de publication

Date de publication:
17 03 2023
Historique:
received: 21 10 2022
revised: 20 12 2022
accepted: 20 01 2023
medline: 23 10 2023
pubmed: 1 3 2023
entrez: 28 2 2023
Statut: ppublish

Résumé

To elucidate how different immune cells contribute to control or progression of M. tuberculosis (Mtb) infection, we developed a technique to perform multi-modal single-cell RNA sequencing (scRNA-seq) from in vivo Mtb-infected lung macrophages. This protocol simultaneously acquires the transcriptome, surface marker expression, and bacterial phenotype of each infected cell. We describe steps for sorting Mtb-infected cells and staining with CITE-seq antibodies, as well as for methanol fixation and generation of scRNA-seq libraries. This protocol can be used on tissues derived from murine, nonhuman primate, and human infections. For complete details on the use and execution of this protocol, please refer to Pisu et al. (2021).

Identifiants

pubmed: 36853694
pii: S2666-1667(23)00060-6
doi: 10.1016/j.xpro.2023.102102
pmc: PMC9937979
pii:
doi:

Substances chimiques

Antibodies 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

102102

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Davide Pisu (D)

Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA. Electronic address: dp554@cornell.edu.

David G Russell (DG)

Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA. Electronic address: dgr8@cornell.edu.

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Classifications MeSH