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Integrating single-cell RNA-sequencing and functional assays to decipher mammary cell states and lineage hierarchies

The identification and molecular characterization of cellular hierarchies in complex tissues is key to understanding both normal cellular homeostasis and tumorigenesis. The mammary epithelium is a heterogeneous tissue consisting of two main cellular compartments, an outer basal layer containing myoe...

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Detalles Bibliográficos
Autores principales: Regan, Joseph L., Smalley, Matthew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391676/
https://www.ncbi.nlm.nih.gov/pubmed/32793804
http://dx.doi.org/10.1038/s41523-020-00175-8
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author Regan, Joseph L.
Smalley, Matthew J.
author_facet Regan, Joseph L.
Smalley, Matthew J.
author_sort Regan, Joseph L.
collection PubMed
description The identification and molecular characterization of cellular hierarchies in complex tissues is key to understanding both normal cellular homeostasis and tumorigenesis. The mammary epithelium is a heterogeneous tissue consisting of two main cellular compartments, an outer basal layer containing myoepithelial cells and an inner luminal layer consisting of estrogen receptor-negative (ER(−)) ductal cells and secretory alveolar cells (in the fully functional differentiated tissue) and hormone-responsive estrogen receptor-positive (ER(+)) cells. Recent publications have used single-cell RNA-sequencing (scRNA-seq) analysis to decipher epithelial cell differentiation hierarchies in human and murine mammary glands, and reported the identification of new cell types and states based on the expression of the luminal progenitor cell marker KIT (c-Kit). These studies allow for comprehensive and unbiased analysis of the different cell types that constitute a heterogeneous tissue. Here we discuss scRNA-seq studies in the context of previous research in which mammary epithelial cell populations were molecularly and functionally characterized, and identified c-Kit(+) progenitors and cell states analogous to those reported in the recent scRNA-seq studies.
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spelling pubmed-73916762020-08-12 Integrating single-cell RNA-sequencing and functional assays to decipher mammary cell states and lineage hierarchies Regan, Joseph L. Smalley, Matthew J. NPJ Breast Cancer Perspective The identification and molecular characterization of cellular hierarchies in complex tissues is key to understanding both normal cellular homeostasis and tumorigenesis. The mammary epithelium is a heterogeneous tissue consisting of two main cellular compartments, an outer basal layer containing myoepithelial cells and an inner luminal layer consisting of estrogen receptor-negative (ER(−)) ductal cells and secretory alveolar cells (in the fully functional differentiated tissue) and hormone-responsive estrogen receptor-positive (ER(+)) cells. Recent publications have used single-cell RNA-sequencing (scRNA-seq) analysis to decipher epithelial cell differentiation hierarchies in human and murine mammary glands, and reported the identification of new cell types and states based on the expression of the luminal progenitor cell marker KIT (c-Kit). These studies allow for comprehensive and unbiased analysis of the different cell types that constitute a heterogeneous tissue. Here we discuss scRNA-seq studies in the context of previous research in which mammary epithelial cell populations were molecularly and functionally characterized, and identified c-Kit(+) progenitors and cell states analogous to those reported in the recent scRNA-seq studies. Nature Publishing Group UK 2020-07-29 /pmc/articles/PMC7391676/ /pubmed/32793804 http://dx.doi.org/10.1038/s41523-020-00175-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Perspective
Regan, Joseph L.
Smalley, Matthew J.
Integrating single-cell RNA-sequencing and functional assays to decipher mammary cell states and lineage hierarchies
title Integrating single-cell RNA-sequencing and functional assays to decipher mammary cell states and lineage hierarchies
title_full Integrating single-cell RNA-sequencing and functional assays to decipher mammary cell states and lineage hierarchies
title_fullStr Integrating single-cell RNA-sequencing and functional assays to decipher mammary cell states and lineage hierarchies
title_full_unstemmed Integrating single-cell RNA-sequencing and functional assays to decipher mammary cell states and lineage hierarchies
title_short Integrating single-cell RNA-sequencing and functional assays to decipher mammary cell states and lineage hierarchies
title_sort integrating single-cell rna-sequencing and functional assays to decipher mammary cell states and lineage hierarchies
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391676/
https://www.ncbi.nlm.nih.gov/pubmed/32793804
http://dx.doi.org/10.1038/s41523-020-00175-8
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