Microarray data from simple and effective differentiation-switching model using long-term-expanded mammary primary cells

We developed a long-term expansion method for primary mammary basal cells using a set of compounds. Moreover, we established a simple and effective epithelial differentiation method by simply removing the compounds. As a benefit of this convenient differentiation-switching technique, we obtained microarray data comparing each differentiation state and confirmed that the transcription factors EGR1 and ELF3 determine mammary differentiation states at the cellular level. This culturing method is an effective tool for verifying molecular mechanisms that determine mammary differentiation state and can be useful in future epithelial cell biology, physiology, and regeneration research. Microarray data sets were obtained from primary human mammary epithelial cells (HMEC, donor1) cultivated in YDAC-containing F meduim and in YDAC removed F medium for 2 days (Pre and 48H, respectively)