4.8 Article

Estrogen receptor β regulates epithelial cellular differentiation in the mouse ventral prostate

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.0403041101

关键词

prostate cell isolation; fluorescence-activated cell sorter; prostate cancer; prostate intraepithelial neoplasia; phytoestrogens

向作者/读者索取更多资源

ventral prostates (VP) of mice lacking estrogen receptor beta (ERbeta). To investigate the causes of this phenomenon, we measured cellular proliferation and apoptosis in VP of ERbeta(-/-) and WT mice. With BrdUrd labeling, the number of proliferating cells was 3.6-fold higher in ERbeta(-/-) mice. There was also a decrease in apoptosis as measured by terminal deoxynucleotidyltransferase-mediated dUTP nick end labeling assay and an increase in expression of the anti-apoptotic bcl-2. The state of differentiation of the epithelial cells of the VP was studied by immunohistochemical staining, Western blotting, and fluorescence-activated cell sorting (FACS). In ERbeta(-/-) mouse VP, the number of p63-positive cells (basal phenotype) was 2.6-fold higher, and expression level of cytokeratin (CK) 8, a luminal cell marker, was lower. FACS analysis with p63 showed that in WT mice the ratio of basal to intermediate/luminal cell populations expressing p63 was 1:2.5, whereas in ERbeta(-/-) mice it was 1:9. The expression of basal/intermediate marker CK 19 in three FACS areas, g1, g2, and g3, gated according to cellular size and granularity, was 1:0.6:2 in WT and 1:4:6.7 in ERbeta(-/-) mice, showing a shift of CK 19-positive cells toward a cell population of intermediate size and granularity. We conclude that, in ERbeta(-/-) mouse VP, there is increased epithelial proliferation, decreased apoptosis, and accumulation of incompletely differentiated cells in an intermediate pool. The continued proliferation of intermediate cells leads to the prostatic epithelial hyperplasia observed in the absence of ERbeta signaling.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据