Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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The effect of TNFa on endothelial cells


ABSTRACT: To understand the transcripts induced by TNFa and how these may interact in inflammatory networks, the transcriptome of HUCECs stimulated with TNFa was examined in 3 different pools each cosisting of 10 different HUVEC isolates. In the study present here, HUVEC isolates from 3 pools of 10 different individuals were cultured until passage 4 in fully supplemented growth conditions. Passage 4 HUVEC isolates were then treated with TNFa (10ng/ml), with RNA extracted at time points 0, 1, 1.5, 2, 4, 5, and 6hrs after TNFa treatment . RNA was extracted and hybridised onto CodeLink microarrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Hiromitsu Araki 

PROVIDER: E-GEOD-27870 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications


Gene regulatory networks inferred from RNA abundance data have generated significant interest, but despite this, gene network approaches are used infrequently and often require input from bioinformaticians. We have assembled a suite of tools for analysing regulatory networks, and we illustrate their use with microarray datasets generated in human endothelial cells. We infer a range of regulatory networks, and based on this analysis discuss the strengths and limitations of network inference from  ...[more]

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