ArticleCell reports. Medicine2021
A single-cell atlas of the healthy breast tissues reveals clinically relevant clusters of breast epithelial cells.
Article in Cell reports. Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.
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Who cites it
73 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.
- Genetic determinants of zinc homeostasis and its role in cardiometabolic diseases.PLoS genetics · 2025Pooled it
- The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer.Nature communications · 2025Trial
- Population-Associated Molecular Variation in Histologically Normal Breast Tissue Is Associated with Distinct Baseline Transcriptional States.International journal of molecular sciences · 2026Article
- Foundation model reveals the shared organization of transcription and topologically associating domains.Cell systems · 2026Article
- Exploring cell-type associations of rare disease phenotypes using non-diseased cell atlases.Briefings in bioinformatics · 2026Article
- The Role that Biobanks Can Play in Driving Animal-Free Biomedical Research.Expert reviews in molecular medicine · 2026Review
- Game of clones: decipher lineage plasticity in hormone-driven cancers.Cellular and molecular life sciences : CMLS · 2026Review
- Article
- Decoding clone evolution in HER2 amplified breast cancer through single-cell and spatial transcriptomics analysis of copy number variations.Scientific reports · 2026Article
- Macrophage efferocytosis mediated by the TP63-RAC2 pathway promotes immunosuppressive remodeling in esophageal cancer.Cell reports. Medicine · 2026Article
- A cell-based model approach to radiation-induced breast cancer development.Frontiers in public health · 2026Article
- hECA v2.0: an AI-ready ensemble cell atlas of single-cell RNA and ATAC sequencing data.Scientific data · 2025Article
- Single-Cell RNA Sequencing Reveals the Immune Landscape of Granulomatous Mastitis.Inflammation · 2025Article
- Little women: the relevance and reliance on mouse models for mammary gland research and next steps for translation.Journal of mammary gland biology and neoplasia · 2025Review
- Integrative Transcriptomic Analysis Decodes the Interplay Between Aging, Senescence, and Cancer.Cancer science · 2025Article
- Article
- Defining breast epithelial cell types in the single-cell era.Developmental cell · 2025Review
- SCAN-ACT: adoptive T cell therapy target discovery through single-cell transcriptomics.Genome medicine · 2025Article
- Single-cell transcriptome analysis reveals the malignant characteristics of tumour cells and the immunosuppressive landscape in HER2-positive inflammatory breast cancer.Journal of experimental & clinical cancer research : CR · 2025Article
- A resource for whole-body gene expression map of human tissues based on integration of single cell and bulk transcriptomics.Genome biology · 2025Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell RNA sequencing (scRNA-seq) is an evolving technology used to elucidate the cellular architecture of adult organs. Previous scRNA-seq on breast tissue utilized reduction mammoplasty samples, which are often histologically abnormal. We report a rapid tissue collection/processing protocol to perform scRNA-seq of breast biopsies of healthy women and identify 23 breast epithelial cell clusters. Putative cell-of-origin signatures derived from these clusters are applied to analyze transcriptomes of ~3,000 breast cancers. Gene signatures derived from mature luminal cell clusters are enriched in ~68% of breast cancers, whereas a signature from a luminal progenitor cluster is enriched in ~20% of breast cancers. Overexpression of luminal progenitor cluster-derived signatures in HER2+, but not in other subtypes, is associated with unfavorable outcome. We identify TBX3 and PDK4 as genes co-expressed with estrogen receptor (ER) in the normal breasts, and their expression analyses in >550 breast cancers enable prognostically relevant subclassification of ER+ breast cancers.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.