Human Gene Set: GSE9650_NAIVE_VS_EFF_CD8_TCELL_UP


Standard name GSE9650_NAIVE_VS_EFF_CD8_TCELL_UP
Systematic name M5819
Brief description Genes up-regulated in comparison of naive CD8 T cells versus effector CD8 T cells.
Full description or abstract CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection.
Collection C7: Immunologic Signature
      IMMUNESIGDB: ImmuneSigDB
Source publication Pubmed 17950003   Authors: Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R
Exact source GSE9650_1253_200_UP
Related gene sets (show 13 additional gene sets from the source publication)

(show 357 gene sets from any of these authors)
External links
Filtered by similarity ?
Source species Mus musculus
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 200 genes
Gene families ? Categorize these 200 genes by gene family
Show members (show 200 source identifiers mapped to 200 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.