Genomics

Dataset Information

0

Expression data from a model of human mammary stem cells at different stages of transformation, sorted or not on the basis of their CD10 expression


ABSTRACT: This study was designed to follow the transcriptome changes during BMP2 mediated transformation of the MCF10A human mammary stem cell model. We found that long-term BMP2/IL6 exposure of MCF10A cells, human immortalized but non-transformed mammary stem cells and progenitors, led to their luminal transformation. MC26 cells correspond to MCF10A cells transformed by BMP2/IL6 long-term exposure and contrarily to their parental cells, are able to engraft in immunodeficient mice and form colonies in soft-agar. M1B26 cells were obtained after BMP2/IL-6 long-term treatment of MCF10A cells sorted for high BMPR1B expression and subsequent isolation and expansion of 3 soft-agar colonies. M1B26 have an increased ability to engraft in mice and form colonies in soft-agar when compared to MC26 cells. As a non-transformed control, MCF10A-CT cells were kept in culture without BMP2/IL6 for the same length of time than MC26 cells. MCF10A-CT, MC26 and M1B26 cells are thus a model allowing to follow the molecular events associated with the initiation of a luminal transformation in mammary stem cells. Expression of the CD10 membrane endopeptidase has been associated with cancer although it can be a marker of both good or poor prognosis depending on the stage of the cancer and on the tissue of origin. In addition, we showed that CD10 was a marker of stem cell containing populations in healthy mammary tissue and that CD10 enzymatic activity was involved in the maintenance of cells immature properties. Having recently shown that CD10 expression was increasing during BMP2 mediated transformation and that CD10 expressing cells were more transformed but that CD10 was not required for transformation, we set out to determine the gene signature associated with CD10 expression.

ORGANISM(S): Homo sapiens

PROVIDER: GSE123053 | GEO | 2023/09/01

REPOSITORIES: GEO

Similar Datasets

2023-09-01 | GSE186734 | GEO
2023-09-01 | GSE186735 | GEO
2024-04-01 | GSE229554 | GEO
2008-07-29 | GSE12215 | GEO
2011-01-25 | GSE26828 | GEO
2010-11-18 | GSE17802 | GEO
2008-07-29 | E-GEOD-12215 | biostudies-arrayexpress
2013-01-19 | E-GEOD-43386 | biostudies-arrayexpress
2015-11-13 | GSE65885 | GEO
2013-01-19 | E-GEOD-43593 | biostudies-arrayexpress