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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Tapio Lonnberg

PROVIDER: E-GEOD-32959 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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

Aijö Tarmo T Edelman Sanna M SM Lönnberg Tapio T Larjo Antti A Kallionpää Henna H Tuomela Soile S Engström Emilia E Lahesmaa Riitta R Lähdesmäki Harri H

BMC genomics 20121030

<h4>Background</h4>A proper balance between different T helper (Th) cell subsets is necessary for normal functioning of the adaptive immune system. Revealing key genes and pathways driving the differentiation to distinct Th cell lineages provides important insight into underlying molecular mechanisms and new opportunities for modulating the immune response. Previous computational methods to quantify and visualize kinetic differential expression data of three or more lineages to identify reciproc ...[more]

PMID: 23110343

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