Mixed-effects association of single cells identifies an expanded effector CD4⁺ T cell subset in rheumatoid arthritis.

ABSTRACT: High-dimensional single-cell analyses have improved the ability to resolve complex mixtures of cells from human disease samples; however, identifying disease-associated cell types or cell states in patient samples remains challenging because of technical and interindividual variation. Here, we present mixed-effects modeling of associations of single cells (MASC), a reverse single-cell association strategy for testing whether case-control status influences the membership of single cells in any of multiple cellular subsets while accounting for technical confounders and biological variation. Applying MASC to mass cytometry analyses of CD4⁺ T cells from the blood of rheumatoid arthritis (RA) patients and controls revealed a significantly expanded population of CD4⁺ T cell

SUBMITTER: Fonseka CY 

PROVIDER: S-EPMC6448773 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature