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 | ||||||||||
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