@article {300,
	title = {High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia.},
	journal = {Cell Rep},
	volume = {23},
	year = {2018},
	month = {2018 Apr 24},
	pages = {1205-1219},
	abstract = {<p>Aging is associated with tissue-level changes in\&nbsp;cellular composition that are correlated with increased susceptibility to disease. Aging human mammary tissue shows skewed progenitor cell potency, resulting in diminished tumor-suppressive cell types and the accumulation of defective epithelial progenitors. Quantitative characterization of these age-emergent human cell subpopulations is lacking, impeding our understanding of the relationship between age and cancer susceptibility. We conducted single-cell resolution proteomic phenotyping of healthy breast epithelia from 57 women, aged 16-91 years, using mass cytometry. Remarkable heterogeneity was quantified within the two mammary epithelial lineages. Population partitioning identified a subset of aberrant basal-like luminal cells that accumulate with age and originate from age-altered progenitors. Quantification of age-emergent phenotypes\&nbsp;enabled robust classification of breast tissues by age in healthy women. This high-resolution mapping highlighted specific epithelial subpopulations that\&nbsp;change with age in a manner consistent with increased susceptibility to breast cancer.</p>
},
	issn = {2211-1247},
	doi = {10.1016/j.celrep.2018.03.114},
	author = {Pelissier Vatter, Fanny A and Schapiro, Denis and Hang Chang and Borowsky, Alexander D and Lee, Jonathan K and Parvin, Bahram and Stampfer, Martha R and LaBarge, Mark A and Bodenmiller, Bernd and Lorens, James B}
}
