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

Summary: 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 epithel...

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Main Authors: Fanny A. Pelissier Vatter, Denis Schapiro, Hang Chang, Alexander D. Borowsky, Jonathan K. Lee, Bahram Parvin, Martha R. Stampfer, Mark A. LaBarge, Bernd Bodenmiller, James B. Lorens
Format: Article
Language:English
Published: Elsevier 2018-04-01
Series:Cell Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S221112471830490X
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spelling doaj-22da90f3a5494c2792bf90da14d96c6c2020-11-24T20:52:15ZengElsevierCell Reports2211-12472018-04-0123412051219High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary EpitheliaFanny A. Pelissier Vatter0Denis Schapiro1Hang Chang2Alexander D. Borowsky3Jonathan K. Lee4Bahram Parvin5Martha R. Stampfer6Mark A. LaBarge7Bernd Bodenmiller8James B. Lorens9Department of Biomedicine, University of Bergen, Bergen 5009, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen 5009, NorwayInstitute of Molecular Life Sciences, University of Zürich, 8057 Zürich, SwitzerlandBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USADepartment of Pathology and Laboratory Medicine, Center for Comparative Medicine, University of California, Davis, School of Medicine, Sacramento, CA, USABiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USADepartment of Electrical and Biomedical Engineering, University of Nevada, Reno, NV, USAInstitute of Molecular Life Sciences, University of Zürich, 8057 Zürich, SwitzerlandCentre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen 5009, Norway; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Department of Population Sciences & Center for Cancer and Aging, City of Hope, Duarte, CA, USA; Corresponding authorInstitute of Molecular Life Sciences, University of Zürich, 8057 Zürich, Switzerland; Corresponding authorDepartment of Biomedicine, University of Bergen, Bergen 5009, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen 5009, Norway; Corresponding authorSummary: 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. : Vatter et al. find that single-cell mass cytometry of human mammary epithelial cells from 57 women, from 16 to 91 years old, depicts an in-depth phenotyping of aging mammary epithelia. Subpopulations of altered luminal and progenitor cells that accumulate with age may be at increased risk for oncogenic transformation. Keywords: human mammary epithelia, aging, mass cytometry, single-cell analysis, heterogeneity, breast cancerhttp://www.sciencedirect.com/science/article/pii/S221112471830490X
collection DOAJ
language English
format Article
sources DOAJ
author Fanny A. Pelissier Vatter
Denis Schapiro
Hang Chang
Alexander D. Borowsky
Jonathan K. Lee
Bahram Parvin
Martha R. Stampfer
Mark A. LaBarge
Bernd Bodenmiller
James B. Lorens
spellingShingle Fanny A. Pelissier Vatter
Denis Schapiro
Hang Chang
Alexander D. Borowsky
Jonathan K. Lee
Bahram Parvin
Martha R. Stampfer
Mark A. LaBarge
Bernd Bodenmiller
James B. Lorens
High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia
Cell Reports
author_facet Fanny A. Pelissier Vatter
Denis Schapiro
Hang Chang
Alexander D. Borowsky
Jonathan K. Lee
Bahram Parvin
Martha R. Stampfer
Mark A. LaBarge
Bernd Bodenmiller
James B. Lorens
author_sort Fanny A. Pelissier Vatter
title High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia
title_short High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia
title_full High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia
title_fullStr High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia
title_full_unstemmed High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia
title_sort high-dimensional phenotyping identifies age-emergent cells in human mammary epithelia
publisher Elsevier
series Cell Reports
issn 2211-1247
publishDate 2018-04-01
description Summary: 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. : Vatter et al. find that single-cell mass cytometry of human mammary epithelial cells from 57 women, from 16 to 91 years old, depicts an in-depth phenotyping of aging mammary epithelia. Subpopulations of altered luminal and progenitor cells that accumulate with age may be at increased risk for oncogenic transformation. Keywords: human mammary epithelia, aging, mass cytometry, single-cell analysis, heterogeneity, breast cancer
url http://www.sciencedirect.com/science/article/pii/S221112471830490X
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