The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity
Open accessAbstract
Breast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we use single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produces one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides insights into the cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer.
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Cites
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Childhood cerebellar tumours mirror conserved fetal transcriptional programs
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Towards targeting the breast cancer immune microenvironment
Harris, M. A., Savas, P., Virassamy, B., O’Malley, M. M. R., Kay, J., Mueller, S. N., Mackay, L. K., Salgado, R., & Loi, S. (2024) · Nature Reviews Cancer · doi:10.1038/s41568-024-00714-6 · Cited by 363
Metadata
- Authors
- Nguyen, Q. H., Pervolarakis, N., Blake, K., Ma, D., Davis, R. T., James, N., Phung, A. T., Willey, E., Kumar, R., Jabart, E., Driver, I., Rock, J., Goga, A., Khan, S. A., Lawson, D. A., Werb, Z., & Kessenbrock, K.
- Venue
- Nature Communications
- Published
- 2018-05-23
- Volume
- 9
- Issue
- 1
- Pages
- 2028-2028
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2803144214
- Cited by
- 379
- References
- 16
- FWCI
- 12.01
- Type
- journal article
- Language
- en
- Open access
- gold
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- Nguyen, Q. H., Pervolarakis, N., Blake, K., Ma, D., Davis, R. T., James, N., Phung, A. T., Willey, E., Kumar, R., Jabart, E., Driver, I., Rock, J., Goga, A., Khan, S. A., Lawson, D. A., Werb, Z., & Kessenbrock, K. (2018). Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity. Nature Communications. https://doi.org/10.1038/s41467-018-04334-1
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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