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The mesenchymal property of mouse mammary anlagen repopulating cell population is associated with its stemness.

Authors :
Song, Jiazhe
Ding, Wenyong
Liu, Yinhui
Lin, Lin
Jia, Meng
Liu, Shujun
Xue, Kai
Source :
Gene Expression Patterns. Dec2020, Vol. 38, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

During early embryogenesis, mammary glands are derived from surface ectoderm and their morphogenesis is controlled by mammary stem cells (MaSCs) and epithelial-mesenchymal transition (EMT). Mammary anlagen stage (E13.5–15.5) is an important stage for fetal mice to achieve EMT dependent mammary morphogenesis. And the characteristics of mammary anlagen repopulating cell population (MaRC) should be identified for understanding its stemness at earlier embryonic stage. Here we quantify and characterize MaSCs proportion at mammary anlagen stage. Compared with adult mouse mammary gland, our data revealed that E14.5 mammary anlagen exhibit higher stem cell activities. Then we purified mammary anlagen cell populations depending on the expression levels of CD24 and CD49f in mouse mammary anlagen, and identified an unique MaRC population (Lin-CD24medCD49f+) by real-time PCR, transplantation and mammosphere forming assays. In addition, by comparing with adult MaSC (Lin-CD24+CD29hi) and differentiated mammary anlagen cells, we find that E14.5 mouse MaRC population exhibit gene expression programs related to mesenchymal properties. To further identify the cell types of E14.5 mouse MaRC population, the expressions of K8, K14, K18, e-cadherin, n-cadherin and vimentin in mammary anlagen Lin-CD24medCD49f + cells were detected by immunofluorescence assay. These findings verified that the undifferentiated E14.5 mouse MaRC population is a heterogeneous population with mesenchymal property, which is associated with cell stemness and mammary duct morphogenesis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1567133X
Volume :
38
Database :
Academic Search Index
Journal :
Gene Expression Patterns
Publication Type :
Academic Journal
Accession number :
147382685
Full Text :
https://doi.org/10.1016/j.gep.2020.119151