Please note that we have stopped the regular imports of Gene Expression Omnibus (GEO) data into ArrayExpress. This may not be the latest version of this experiment.

E-GEOD-69596 - Gene expression analysis of CD4+ and CD4- ILC1 subsets by RNAseq

Status
Released on 31 December 2015, last updated on 1 January 2016
Organism
Homo sapiens
Samples (8)
Protocols (2)
Description
Innate lymphoid cell (ILC) subsets that mirror helper T cells in their effector cytokine profiles have recently emerged as central players in both homeostatic and inflammatory conditions. Like their Th1, Th2 and Th17/Th22 helper T cell counterparts, ILC subsets are categorized based on their expression of specific transcription factors and effector cytokines: group 1 ILC (ILC1) express T-bet and IFN-γ; group 2 ILC (ILC2) express GATA-3 and type 2 effector cytokines such as IL-13 and IL-5; and group 3 ILC (ILC3) express RORgt and the cytokines IL-22 and/or IL-17. Under this nomenclature, natural killer (NK) cells and lymphoid tissue inducers (LTi) are considered ILC1 and ILC3, respectively. ILC1 contain both CD4+ and CD4- populations, but whether this phenotypic characteristic reflects functional differences between these two populations is unknown. These studies examine the gene expression profiles of CD4+ vs CD4- ILC1 in a cohort of healthy control subjects. ILC subsets were isolated from the peripheral blood of healthy control subjects. cDNA was isolated and amplified from sorted populations, and gene expression was analyzed by RNAseq
Experiment type
RNA-seq of coding RNA 
Contacts
Scott Presnell <SPresnell@benaroyaresearch.org>, Elizabeth Whalen, Florence Roan, Jeffrey A Bluestone, Michael Mason, Steven F Ziegler, Thomas A Stoklasek
MINSEQE
Exp. designProtocolsVariablesProcessedSeq. reads
Files
Investigation descriptionE-GEOD-69596.idf.txt
Sample and data relationshipE-GEOD-69596.sdrf.txt
Additional data (1)E-GEOD-69596.additional.1.zip
Links