Integration of mass cytometry and single-cell RNA-sequencing of cells in bronchoalveolar lavage

Single-cell RNA sequencing (sc-RNA-seq) is a popular method for characterization of cell populations. However, the relationship between RNA and protein expression in cells is often discordant. Protein-based detection methods, such as cytometry by time-of-flight (CyTOF), can provide complementary dat...

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Publié dans:BioTechniques. - 1991. - 77(2025), 4 vom: 16. Apr., Seite 179-190
Auteur principal: Guinto, Elizabeth (Auteur)
Autres auteurs: Chopra, Sameeksha, Kuo, I-Chih, Shin, Samuel B, Messing, Melina, Cheung, Chung Y, Yang, Julia Sw, Gerayeli, Firoozeh V, Yip, William, Milne, Stephen, Eddy, Rachel L, Leung, Janice M, McNagny, Kelly M, Sin, Don D
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:BioTechniques
Sujets:Journal Article Bronchoalveolar lavage mass cytometry protein rNA single-cell RNA sequencing
Description
Résumé:Single-cell RNA sequencing (sc-RNA-seq) is a popular method for characterization of cell populations. However, the relationship between RNA and protein expression in cells is often discordant. Protein-based detection methods, such as cytometry by time-of-flight (CyTOF), can provide complementary data to sc-RNA-seq. We collected bronchoalveolar lavage (BAL) from healthy participants and co-evaluated cell populations and gene/protein expression by applying sc-RNA-seq and CyTOF to the same samples. Cell populations were well correlated between these two platforms, but differences emerged at the sub-population level. Notably, macrophage subtypes did not correlate well; whereas T-lymphocytes did. Gene and protein expression levels were significantly correlated (p < .01). Overall, we recommend CyTOF as a tool to validate sc-RNA-seq data for select proteins and cell populations in BAL samples
Description:Date Completed 18.07.2025
Date Revised 18.07.2025
published: Print-Electronic
Citation Status MEDLINE
ISSN:1940-9818
DOI:10.1080/07366205.2025.2505347