Year: 2014
Type: dissertation
Abstract: Progesterone is a key mediator of cellular changes in the mammary gland. These changes occur naturally during the reproductive cycle and likely underlie the correlation between ovarian hormone exposure and breast cancer risk. This study utilizes microarray gene expression profiling to study the effects of progesterone on distinct mammary epithelial subsets, under defined hormone conditions. Through these transcriptomic analyses, we yield critical information that enables us to better understand molecular mechanisms underpinning progesterone-driven actions in the mammary gland. In this study, we combined bioinformatics approaches ranging from pre-processing to functional analyses, with wet lab techniques such as clonogenic assays and
Source: TSpace (University of Toronto)
Author: Yu-Jia Shiah
Language: English
Subfield: Endocrinology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W3096442371