4.5 Article

Changes in transcriptome after in vivo exposure to ionising radiation reveal a highly specialised liver response

期刊

INTERNATIONAL JOURNAL OF RADIATION BIOLOGY
卷 85, 期 8, 页码 656-671

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/09553000903020024

关键词

Radiosensitivity; tissue response; liver; cDNA microarrays

资金

  1. 'Commissariat a l'Energie Atomique' (CEA)
  2. 'Electricite de France' (EDF)
  3. 'Fondation pour la Recherche Medicale' (FRM)

向作者/读者索取更多资源

Purpose: To identify transcriptional gene-networks involved in the early invivo response of liver cells to radiation exposure and improve our understanding of the molecular processes responsible for tissue radiosensitivity. Materials and methods: Transcriptome variations of liver RNA samples were measured 3 hours post-irradiation using microarray technology. The results were confirmed and extended using real-time polymerase-chain-reaction (RT-PCR). Results: We identified quantitative changes in the expression of 126 genes, most of which were observed for the first time. We show that some modifications, such as the upregulation of the cyclin-dependent kinase inhibitor 1A (Cdkn1A) gene, persisted for at least two months after the initial exposure. Other genes regulated by the transformation-related protein 53 (Trp53/p53) such as Bcl2-associated X protein (Bax) or etoposide-induced-2.4 (Ei24/PIG8) were not upregulated. Grouping differentially expressed genes into functional categories revealed that the primary response of liver cells to radiation exposure was the enhancement of oxidoreductase activity and inhibition of cell proliferation, involving cell cycle progression and apoptosis-related genes. Conclusions: The data provides evidence of gene expression modifications associated with the hepatic response to radiation exposure. One of the main differences observed with radiation-sensitive tissues such as the spleen was cell proliferation. The comparison of our data with transcriptome modifications in different biological models enabled the identification of networks of genes that might be co-regulated. Overall, our expression data revealed genes and cellular pathways that might help to improve our understanding of the molecular basis underlying tissue radiosensitivity and to identify possible targets for novel therapeutic strategies.

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