Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution.

ABSTRACT: The rise and fall of estrogen and progesterone across menstrual cycles and during pregnancy regulates breast development and modifies cancer risk. How these hormones impact each cell type in the breast remains poorly understood because they act indirectly through paracrine networks. Using single-cell analysis of premenopausal breast tissue, we reveal a network of coordinated transcriptional programs representing the tissue-level response to changing hormone levels. Our computational approach, DECIPHER-seq, leverages person-to-person variability in breast composition and cell state to uncover programs that co-vary across individuals. We use differences in cell-type proportions to infer a subset of programs that arise from direct cell-cell interactions regulated by hormones. Further, we demo

SUBMITTER: Murrow LM 

PROVIDER: S-EPMC9590200 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature