Dataset Information


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: Christopher Savoie   Yoshinori Tamada  Kaori Yasuda  Muna Affara  Satoru Miyano  Seiya Imoto  Satoru Kuhara  Ben Dunmore  Deborah Sanders  Edmund Crampin  Daniel Hurley  Vicky Cho  Cristin Print  Sally Humphreys  Hiromitsu Araki  Steve Smith  Stephen Charnock-Jones  Yuki Tomiyasu 

PROVIDER: E-GEOD-27870 | ArrayExpress | 2011-11-29



altmetric image


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]

Similar Datasets

2011-11-29 | E-GEOD-27871 | ArrayExpress
2010-05-06 | E-GEOD-15483 | ArrayExpress
2009-08-24 | E-GEOD-15494 | ArrayExpress
2009-08-24 | E-GEOD-15482 | ArrayExpress
2012-07-19 | E-GEOD-23067 | ArrayExpress
2011-07-19 | E-GEOD-23069 | ArrayExpress
2011-07-20 | GSE23069 | GEO
2012-07-20 | GSE23067 | GEO
2011-07-19 | E-GEOD-23068 | ArrayExpress
| GSE52211 | GEO