E-GEOD-32959 - An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation

Status
Released on 9 November 2012, last updated on 20 November 2012
Organism
Homo sapiens
Samples (37)
Array (1)
Protocols (8)
Description
The aim of this dataset was to study in detail the transcription kinetics initiated by cytokines IL-12 and IL-4 in early differentiation of Th1 and Th2 cells, respectively. Total RNA obtained from activated and IL-12 or IL-4 & anti-IL-12 treated cord blood CD4+ T cells, 12, 24, 48, and 72 hours after initiation of the cultures, compared to cells which were only activated. 37 samples were analyzed from three biological replicates of the culture. Several (26) of the Samples in this Series represent a re-analysis of CEL files originally submitted as GEO Series GSE17974. Please see associations on each Sample record.
Experiment type
transcription profiling by array 
Contacts
Tapio Lonnberg <geo@ncbi.nlm.nih.gov>, Antti Larjo, Emilia Engström, Harri Lähdesmäki, Henna Kallionpää, Riitta Lahesmaa, Sanna M Edelman, Soile Tuomela, Tapio Lönnberg, Tarmo Äijö
Citation
An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation. Aij� T, Edelman S, L�nnberg T, Larjo A, Kallionp�� H, Tuomela S, Engstr�m E, Lahesmaa R, L�hdesm�ki H. , PMID:23110343
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-32959.idf.txt
Sample and data relationshipE-GEOD-32959.sdrf.txt
Raw data (2)E-GEOD-32959.raw.1.zip, E-GEOD-32959.raw.2.zip
Processed data (1)E-GEOD-32959.processed.1.zip
Array designA-AFFY-44.adf.txt
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