Bioinformatic analysis of primary endothelial cell gene array data illustrated by the analysis of transcriptome changes in endothelial cells exposed to VEGF-A and PlGF

Jonathan Schoenfeld, Khashayar Lessan, Nicola A Johnson, D Stephen Charnock-Jones, Amanda Evans, Ekaterini Vourvouhaki, Laurie Scott, Richard Stephens, Tom C Freeman, Samir A Saidi, Brian Tom, Gareth C Weston, Peter Rogers, Stephen K Smith, Cristin G Print

Research output: Contribution to journalArticlepeer-review

Abstract

We recently published a review in this journal describing the design, hybridisation and basic data processing required to use gene arrays to investigate vascular biology (Evans et al. Angiogenesis 2003; 6: 93-104). Here, we build on this review by describing a set of powerful and robust methods for the analysis and interpretation of gene array data derived from primary vascular cell cultures. First, we describe the evaluation of transcriptome heterogeneity between primary cultures derived from different individuals, and estimation of the false discovery rate introduced by this heterogeneity and by experimental noise. Then, we discuss the appropriate use of Bayesian t-tests, clustering and independent component analysis to mine the data. We illustrate these principles by analysis of a previously unpublished set of gene array data in which human umbilical vein endothelial cells (HUVEC) cultured in either rich or low-serum media were exposed to vascular endothelial growth factor (VEGF)-A165 or placental growth factor (PlGF)-1(131). We have used Affymetrix U95A gene arrays to map the effects of these factors on the HUVEC transcriptome. These experiments followed a paired design and were biologically replicated three times. In addition, one experiment was repeated using serial analysis of gene expression (SAGE). In contrast to some previous studies, we found that VEGF-A and PlGF consistently regulated only small, non-overlapping and culture media-dependant sets of HUVEC transcripts, despite causing significant cell biological changes.
Original languageEnglish
Pages (from-to)143-56
Number of pages14
JournalAngiogenesis
Volume7
Issue number2
DOIs
Publication statusPublished - 2004

Keywords

  • Cells, Cultured
  • Computational Biology
  • Culture Media
  • Endothelium, Vascular
  • Gene Expression Profiling
  • Gene Expression Regulation
  • Humans
  • Polymerase Chain Reaction
  • Pregnancy Proteins
  • Proteins
  • Reproducibility of Results
  • Transcription, Genetic
  • Umbilical Veins
  • Vascular Endothelial Growth Factor A

Fingerprint Dive into the research topics of 'Bioinformatic analysis of primary endothelial cell gene array data illustrated by the analysis of transcriptome changes in endothelial cells exposed to VEGF-A and PlGF'. Together they form a unique fingerprint.

Cite this