کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2113233 1084452 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of a novel approach, the epigenome-based outlier approach, to identify tumor-suppressor genes silenced by aberrant DNA methylation
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
پیش نمایش صفحه اول مقاله
Development of a novel approach, the epigenome-based outlier approach, to identify tumor-suppressor genes silenced by aberrant DNA methylation
چکیده انگلیسی

Identification of tumor-suppressor genes (TSGs) silenced by aberrant methylation of promoter CpG islands (CGIs) is important, but hampered by a large number of genes methylated as passengers of carcinogenesis. To overcome this issue, we here took advantage of the fact that the vast majority of genes methylated in cancers lack, in normal cells, RNA polymerase II (Pol II) and have trimethylation of histone H3 lysine 27 (H3K27me3) in their promoter CGIs. First, we demonstrated that three of six known TSGs in breast cancer and two of three in colon cancer had Pol II and lacked H3K27me3 in normal cells, being outliers to the general rule. BRCA1, HOXA5, MLH1, and RASSF1A had high Pol II, but were expressed only at low levels in normal cells, and were unlikely to be identified as outliers by their expression statuses in normal cells. Then, using epigenome statuses (Pol II binding and H3K27me3) in normal cells, we made a genome-wide search for outliers in breast cancers, and identified 14 outlier promoter CGIs. Among these, DZIP1, FBN2, HOXA5, and HOXC9 were confirmed to be methylated in primary breast cancer samples. Knockdown of DZIP1 in breast cancer cell lines led to increases of their growth, suggesting it to be a novel TSG. The outliers based on their epigenome statuses contained unique TSGs, including DZIP1, compared with those identified by the expression microarray data. These results showed that the epigenome-based outlier approach is capable of identifying a different set of TSGs, compared to the expression-based outlier approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cancer Letters - Volume 322, Issue 2, 28 September 2012, Pages 204–212
نویسندگان
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