Comparative SAGE analysis of the response to hypoxia in human pulmonary and aortic endothelial cells

D. G. Peters, W. Ning, T. J. Chu, C. J. Li, A. M.K. Choi

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

We utilized serial analysis of gene expression (SAGE) to analyze the temporal response of human pulmonary artery endothelial cells (HPAECs) to short-term chronic hypoxia at the level of transcription. Primary cultures of HPAECs were exposed to 1% O 2 hypoxia for 8 and 24 h and compared with identical same-passage cells cultured under standard (5% CO 2-95% air) conditions. Hierarchical clustering of significant hypoxia-responsive genes identified temporal changes in the expressions of a number of well-described gene families including those encoding proteins involved in thrombosis, stress response, apoptosis, angiogenesis, and cell proliferation. These experiments build on previously published data describing the transcriptomic response of human aortic endothelial cells (HAECs) obtained from the same donor and cultured under identical conditions, and we have thus taken advantage of the immortality of SAGE data to make direct comparisons between these two data sets. This approach revealed comprehensive information relating to the similarities and differences at the level of mRNA expression between HAECs and HPAECs. For example, we found differences in the cell type-specific response to hypoxia among genes encoding cytoskeletal factors, including paxillin, and proteins involved in metabolic energy production, the response to oxidative stress, and vasoreactivity (e.g., endothelin-1). These efforts contribute to the expanding collection of publicly available SAGE data and provide a foundation on which to base further efforts to understand the characteristics of the vascular response to hypoxia in the pulmonary circulation relative to systemic vasculature.

Original languageEnglish (US)
Pages (from-to)99-108
Number of pages10
JournalPhysiological Genomics
Volume26
Issue number2
DOIs
StatePublished - Jul 12 2006

Keywords

  • Serial analysis of gene expression
  • Temporal
  • Transcriptome

ASJC Scopus subject areas

  • Physiology
  • Genetics

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