Human Gene Set: GSE11057_PBMC_VS_MEM_CD4_TCELL_UP


Standard name GSE11057_PBMC_VS_MEM_CD4_TCELL_UP
Systematic name M3120
Brief description Genes up-regulated in comparison of peripheral mononuclear blood cells (PBMC) 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_1617_200_UP
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 197 genes
Gene families ? Categorize these 197 genes by gene family
Show members (show 200 source identifiers mapped to 197 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.