High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia | Zendy

Fanny A. Pelissier Vatter | Zendy; Denis Schapiro | Zendy; Hang Chang | Zendy; Alexander D. Borowsky | Zendy; Jonathan Lee | Zendy; Bahram Parvin | Zendy; Martha R. Stampfer | Zendy; Mark A. LaBarge | Zendy; Bernd Bodenmiller | Zendy; James B. Lorens | Zendy

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High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia

Author(s) -

Fanny A. Pelissier Vatter,

Denis Schapiro,

Hang Chang,

Alexander D. Borowsky,

Jonathan Lee,

Bahram Parvin,

Martha R. Stampfer,

Mark A. LaBarge,

Bernd Bodenmiller,

James B. Lorens

Publication year - 2018

Publication title -

cell reports

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.264

H-Index - 154

eISSN - 2639-1856

pISSN - 2211-1247

DOI - 10.1016/j.celrep.2018.03.114

Subject(s) - biology , progenitor cell , phenotype , breast cancer , basal (medicine) , population , cell , mammary gland , epithelium , cell type , flow cytometry , microbiology and biotechnology , stem cell , cancer , immunology , genetics , endocrinology , medicine , gene , environmental health , insulin

Aging is associated with tissue-level changes in 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 enabled robust classification of breast tissues by age in healthy women. This high-resolution mapping highlighted specific epithelial subpopulations that change with age in a manner consistent with increased susceptibility to breast cancer.

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