ArticleCommunications biology2019
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
39 citing papers in PubMed, 54 citations in OpenAlex.
- Single-cell multi-omic profiling of heterogeneous PROCRiScience · 2026Article
- FIERCE: reconstructing dynamic trajectories from the differentiation potency of single cells.Bioinformatics (Oxford, England) · 2026Article
- Layered Single-Cell Heterogeneity in Hormone Receptor Signaling Across Mouse Organoids and Human ERα+ Cancer Cells.bioRxiv : the preprint server for biology · 2026Article
- The Tumor-to-Endothelial Transfer of FTO Promotes Vascular Remodeling and Metastasis in Nasopharyngeal Carcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The intrinsic dimension of gene expression during cell differentiation.Nucleic acids research · 2025Article
- Cell-type-specific subtyping of epigenomes improves prognostic stratification of cancer.Genome medicine · 2025Article
- Exploring Core Genes Associated with Sepsis and Systemic Inflammatory Response Syndrome Using Single-Cell Sequencing Technology.Journal of inflammation research · 2025Article
- Oncogene activated human breast luminal progenitors contribute basally located myoepithelial cells.Breast cancer research : BCR · 2024Article
- Representing core gene expression activity relationships using the latent structure implicit in Bayesian networks.Bioinformatics (Oxford, England) · 2024Article
- SingleScan: a comprehensive resource for single-cell sequencing data processing and mining.BMC bioinformatics · 2023Article
- Imagine beyond: recent breakthroughs and next challenges in mammary gland biology and breast cancer research.Journal of mammary gland biology and neoplasia · 2023Review
- Redefining normal breast cell populations using long noncoding RNAs.Nucleic acids research · 2023Article
- Reconstruction of the tumor spatial microenvironment along the malignant-boundary-nonmalignant axis.Nature communications · 2023Article
- Epigenetics as a mediator of plasticity in cancer.Science (New York, N.Y.) · 2023Review
- Exploring cell surface markers and cell-cell interactions of human breast milk stem cells.Journal of public health research · 2023Article
- Cell annotation using scRNA-seq data: A protein-protein interaction network approach.MethodsX · 2023Article
- Development and validation of a prognostic model and gene co-expression networks for breast carcinoma based on scRNA-seq and bulk-seq data.Annals of translational medicine · 2022Article
- Single cell atlas identifies lipid-processing and immunomodulatory endothelial cells in healthy and malignant breast.Nature communications · 2022Article
- Ductal keratin 15NPJ breast cancer · 2022Article
- ORIGINS: A protein network-based approach to quantify cell pluripotency from scRNA-seq data.MethodsX · 2022Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
Adult stem-cells may serve as the cell-of-origin for cancer, yet their unbiased identification in single cell RNA sequencing data is challenging due to the high dropout rate. In the case of breast, the existence of a bipotent stem-like state is also controversial. Here we apply a marker-free algorithm to scRNA-Seq data from the human mammary epithelium, revealing a high-potency cell-state enriched for an independent mammary stem-cell expression module. We validate this stem-like state in independent scRNA-Seq data. Our algorithm further predicts that the stem-like state is bipotent, a prediction we are able to validate using FACS sorted bulk expression data. The bipotent stem-like state correlates with clinical outcome in basal breast cancer and is characterized by overexpression of
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Registered trials
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.