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High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia
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 proge...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946804/ https://www.ncbi.nlm.nih.gov/pubmed/29694896 http://dx.doi.org/10.1016/j.celrep.2018.03.114 |
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author | Pelissier Vatter, Fanny A. Schapiro, Denis Chang, Hang Borowsky, Alexander D. Lee, Jonathan K. Parvin, Bahram Stampfer, Martha R. LaBarge, Mark A. Bodenmiller, Bernd Lorens, James B. |
author_facet | Pelissier Vatter, Fanny A. Schapiro, Denis Chang, Hang Borowsky, Alexander D. Lee, Jonathan K. Parvin, Bahram Stampfer, Martha R. LaBarge, Mark A. Bodenmiller, Bernd Lorens, James B. |
author_sort | Pelissier Vatter, Fanny A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5946804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59468042018-05-14 High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia Pelissier Vatter, Fanny A. Schapiro, Denis Chang, Hang Borowsky, Alexander D. Lee, Jonathan K. Parvin, Bahram Stampfer, Martha R. LaBarge, Mark A. Bodenmiller, Bernd Lorens, James B. Cell Rep Article 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. Cell Press 2018-04-25 /pmc/articles/PMC5946804/ /pubmed/29694896 http://dx.doi.org/10.1016/j.celrep.2018.03.114 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Pelissier Vatter, Fanny A. Schapiro, Denis Chang, Hang Borowsky, Alexander D. Lee, Jonathan K. Parvin, Bahram Stampfer, Martha R. LaBarge, Mark A. Bodenmiller, Bernd Lorens, James B. High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia |
title | 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_short | High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia |
title_sort | high-dimensional phenotyping identifies age-emergent cells in human mammary epithelia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946804/ https://www.ncbi.nlm.nih.gov/pubmed/29694896 http://dx.doi.org/10.1016/j.celrep.2018.03.114 |
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