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Gene Expression

Progressive Region-Specific De Novo Methylation of the p16 CpG Island in Primary Human Mammary Epithelial Cell Strains during Escape from M0 Growth Arrest

, , &
Pages 5642-5651 | Received 11 Mar 1999, Accepted 29 Apr 1999, Published online: 28 Mar 2023
 

Abstract

CpG island methylation plays an important role in normal cellular processes, such as genomic imprinting and X-chromosome inactivation, as well as in abnormal processes, such as neoplasia. However, the dynamics of de novo CpG island methylation, during which a CpG island is converted from an unmethylated, active state to a densely methylated, inactive state, are largely unknown. It is unclear whether the development of de novo CpG island methylation is a progressive process, in which a subset of CpG sites are initially methylated with a subsequent increase in methylation density, or a single event, in which the initial methylation event encompasses the entire CpG island. The tumor suppressor gene p16/CDKN2a/INK4a (p16) is inactivated by CpG island methylation during neoplastic progression in a variety of human cancers. We investigated the development of methylation in the p16 CpG island in primary human mammary epithelial cell strains during escape from mortality stage 0 (M0) growth arrest. The methylation status of 47 CpG sites in the p16 CpG island on individual DNA molecules was determined by sequencing PCR clones of bisulfite-treated genomic DNA. The p16 CpG island was initially methylated at a subset of sites in three discrete regions in association with p16 transcriptional repression and escape from M0 growth arrest. With continued passage, methylation gradually increased in density and methylation expanded to sites in adjacent regions. Thus, de novo methylation in the p16 CpG island is a progressive process that is neither site specific nor completely random but instead is region specific. Our results suggest that early detection of methylation in the CpG island of the p16 gene will require methylation analysis of the three regions and that the identification of region-specific methylation patterns in other genes may be essential for an accurate assessment of methylation-mediated transcriptional silencing.

ACKNOWLEDGMENTS

We thank the Biotechnology Center and the Image Analysis Center at the Fred Hutchinson Cancer Research Center (FHCRC). We thank Reinhard Stoger for his assistance with the graphical design of Fig. . We also thank Charles Laird, Michael Barrett, Thomas Paulson, and Reinhard Stoger for their advice and review of the manuscript.

This investigation was supported by the following: Poncin Scholarship Fund; National Cancer Institute RO1CA61202; American Cancer Society grant EDT80683; National Cancer Institute RO1CA64795; National Institute of General Medical Sciences, Medical Scientist Training Program grant 5T32GM07266; and the Molecular and Cellular Biology Program of the University of Washington and FHCRC, Seattle.

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