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Related Experiment Video

Updated: Sep 22, 2025

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A human breast atlas integrating single-cell proteomics and transcriptomics.

G Kenneth Gray1, Carman Man-Chung Li1, Jennifer M Rosenbluth2

  • 1Department of Cell Biology, Harvard Medical School (HMS), Boston, MA 02115, USA.

Developmental Cell
|May 26, 2022
PubMed
Summary

This study maps diverse breast cell states using advanced single-cell technologies. It identifies new cell subtypes linked to cancer risk factors and highlights basal-luminal cells as key to understanding breast cancer development.

Keywords:
BRCA1BRCA2CyTOF mass cytometryagingbreast cancercell state plasticitymammary biologymulti-omic single-cell atlasmultiplexed tissue stainingorganoidsscRNA-Seq

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Area of Science:

  • Mammary gland biology
  • Single-cell genomics
  • Cancer research

Background:

  • The breast's cellular states change with physiological and pathological conditions, impacting disease susceptibility.
  • Specific effects of clinical variables on breast cell states are not well understood.

Purpose of the Study:

  • To create a comprehensive, high-resolution atlas of human breast cells.
  • To define cell subtypes and their associations with cancer risk factors.
  • To identify molecular regulators of cell-subtype proportions.

Main Methods:

  • Integration of single-cell RNA sequencing (scRNA-seq), mass cytometry, and cyclic immunofluorescence.
  • Analysis of cell subtypes within alveolar, hormone-sensing, and basal epithelial lineages.
  • Medium-depletion experiments in organoids to identify regulatory factors.

Main Results:

  • Defined numerous cell subtypes across mammary epithelial lineages.
  • Associated specific subtypes with cancer risk factors like age, parity, and BRCA2 mutations.
  • Identified basal-luminal (BL) cells accumulating with age and linked to basal-like breast cancer.

Conclusions:

  • The integrated breast atlas provides a rich resource for understanding mammary cell diversity.
  • Specific cell subtypes, including age-associated BL cells, are linked to breast cancer risk.
  • This work advances the understanding of cell states in normal and diseased breast tissue.