Human Gene Set: GSE11057_NAIVE_VS_MEMORY_CD4_TCELL_DN


Standard name GSE11057_NAIVE_VS_MEMORY_CD4_TCELL_DN
Systematic name M3119
Brief description Genes down-regulated in comparison of naive T cells versus memory T cells.
Full description or abstract Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples.
Collection C7: Immunologic Signature
      IMMUNESIGDB: ImmuneSigDB
Source publication Pubmed 19568420   Authors: Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF
Exact source GSE11057_1616_200_DN
Related gene sets (show 15 additional gene sets from the source publication)

(show 100 gene sets from the same authors)
External links
Filtered by similarity ?
Source species Homo sapiens
Contributed by Jernej Godec (Dana-Farber Cancer Institute)
Source platform or
identifier namespace		 HUMAN_GENE_SYMBOL
Dataset references (show 1 datasets)
Download gene set format: grp | gmt | xml | json | TSV metadata
Compute overlaps ? (show collections to investigate for overlap with this gene set)
Compendia expression profiles ? NG-CHM interactive heatmaps
(Please note that clustering takes a few seconds)
GTEx compendium
Human tissue compendium (Novartis)
Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)

Legacy heatmaps (PNG)
GTEx compendium
Human tissue compendium (Novartis)
Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)
Advanced query Further investigate these 198 genes
Gene families ? Categorize these 198 genes by gene family
Show members (show 200 source identifiers mapped to 198 genes)
Version history 7.3: Moved to ImmuneSigDB sub-collection.

See MSigDB license terms here. Please note that certain gene sets have special access terms.