DNA microarray analysis of genes involved in p53 mediated apoptosis: Activation of Apaf-1

Karuppiah Kannan, Naftali Kaminski, Gideon Rechavi, Jasmine Jakob-Hirsch, Ninette Amariglio, David Givol

Research output: Contribution to journalArticlepeer-review

Abstract

The transcription regulation activity of p53 controls cellular response to a variety of stress conditions, leading to growth arrest and apoptosis. Despite major progress in the understanding of the global effects of p53 on cellular function the pathways by which p53 activates apoptosis are not well defined. To study genes activated in the p53 induced apoptotic process, we used a mouse myeloid leukemic cell line (LTR6) expressing the temperature-sensitive p53 (val135) that undergoes apoptosis upon shifting the temperature to 32°C. We analysed the gene expression profile at different time points after p53 activation using oligonucleotide microarray capable of detecting ∼11 000 mRNA species. Cluster analysis of the p53-regulated genes indicate a pattern of early and late induced sets of genes. We show that 91 and 44 genes were substantially up and down regulated, respectively, by p53. Functional classification of these genes reveals that they are involved in many aspects of cell function, in addition to growth arrest and apoptosis. Comparison of p53 regulated gene expression profile in LTR6 cells to that of a human lung cancer cell line (H1299) that undergoes growth arrest but not apoptosis demonstrates that only 15% of the genes are common to both systems. This observation supports the presence of two distinct transcriptional programs in response to p53 signaling, one leading to growth arrest and the other to apoptosis. The proapoptotic genes induced only in LTR6 cells like Apaf-1, Sumo-1 and gelsolin among others may suggest a possible explanation for apoptosis in LTR6 cells.

Original languageEnglish
Pages (from-to)3449-3455
Number of pages7
JournalOncogene
Volume20
Issue number26
DOIs
StatePublished - 7 Jun 2001

Keywords

  • Apaf-1
  • Apoptosis
  • Clustering
  • DNA microarray
  • ts-p53

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