Molecules and Cells

Korean Society for Molecular and Cellular Biology (한국분자세포생물학회)
권호 표지

Expression Profiles of Apoptosis Genes in Mammary Epithelial Cells

  • Seol, Myung Bok (Department of Applied Bioscience and Biotechnology, Biotechnology Research Institute, Institute of Agricultural Science and Technology, Chonnam National University) ;
  • Bong, Jin Jong (Department of Applied Bioscience and Biotechnology, Biotechnology Research Institute, Institute of Agricultural Science and Technology, Chonnam National University) ;
  • Baik, Myunggi (Department of Applied Bioscience and Biotechnology, Biotechnology Research Institute, Institute of Agricultural Science and Technology, Chonnam National University)
  • Received : 2005.03.03
  • Accepted : 2005.05.02
  • Published : 2005.08.31
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Abstract

To investigate apoptosis in HC11 mammary epithelial cells, we compared the gene expression profiles of actively growing and serum-starved apoptotic cells using a mouse apoptosis gene array and $^{33}P$-labeled cDNA prepared from the RNA of the two cultures. Analysis of the arrays showed that expression of several genes such as clusterin, secreted frizzled related protein mRNA (sFRP-1), CREB-binding protein (CBP), and others was higher in the apoptotic cells whereas expression of certain genes including survivin, cell division cycle 2 homolog A (CDC2), and cyclin A was lower. These expression patterns were confirmed by RT-PCR and/or Northern analyses. We compared the expression of some of these genes in the mouse mammary gland under various physiological conditions. The expression levels of genes (clusterin, CBP, and M6P-R) up-regulated in apoptotic conditions were higher at involution than during lactation. On the other hand, genes (Pin, CDC2) downregulated in apoptotic conditions were relatively highly expressed in virgin and pregnant mice. We conclude that certain genes such as clusterin, sFRP-1, GAS1 and CBP are induced in apoptotic mammary epithelial cells, and others are repressed. Moreover, the apoptosis array is an efficient technique for comparing gene expression profiles in different states of the same cell type.

Keywords

Acknowledgement

Supported by : Korea Research Foundation

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