Leveraging blood and tissue CD4+ T cell heterogeneity at the single cell level to identify mechanisms of disease in rheumatoid arthritis.

TitleLeveraging blood and tissue CD4+ T cell heterogeneity at the single cell level to identify mechanisms of disease in rheumatoid arthritis.
Publication TypeJournal Article
Year of Publication2017
AuthorsFonseka, CY, Rao, DA, Raychaudhuri, S
JournalCurr Opin Immunol
Volume49
Pagination27-36
Date Published2017 Dec
ISSN1879-0372
KeywordsAnimals, Arthritis, Rheumatoid, Blood Cells, CD4-Positive T-Lymphocytes, Datasets as Topic, Flow Cytometry, Humans, Immunophenotyping, Organ Specificity, Single-Cell Analysis, T-Lymphocyte Subsets
Abstract

CD4+ T cells have been long known to play an important role in the pathogenesis of rheumatoid arthritis (RA), but the specific cell populations and states that drive the disease have been challenging to identify with low dimensional single cell data and bulk assays. The advent of high dimensional single cell technologies-like single cell RNA-seq or mass cytometry-has offered promise to defining key populations, but brings new methodological and statistical challenges. Recent single cell profiling studies have revealed a broad diversity of cell types among CD4+ T cells, identifying novel populations that are expanded or altered in RA. Here, we will review recent findings on CD4+ T cell heterogeneity and RA that have come from single cell profiling studies and discuss the best practices for conducting these studies.

DOI10.1016/j.coi.2017.08.005
Alternate JournalCurr Opin Immunol
PubMed ID28888129
PubMed Central IDPMC5705469
Grant ListU01 GM092691 / GM / NIGMS NIH HHS / United States
R01 AR063759 / AR / NIAMS NIH HHS / United States
U01 HG009379 / HG / NHGRI NIH HHS / United States
UH2 AR067677 / AR / NIAMS NIH HHS / United States
2013097 / / Doris Duke Charitable Foundation / United States
U01 HG009088 / HG / NHGRI NIH HHS / United States