The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Differentiation dynamics of mammary epithelial cells revealed by single-cell RNA sequencing
Open accessAbstract
Characterising the hierarchy of mammary epithelial cells (MECs) and how they are regulated during adult development is important for understanding how breast cancer arises. Here we report the use of single-cell RNA sequencing to determine the gene expression profile of MECs across four developmental stages; nulliparous, mid gestation, lactation and post involution. Our analysis of 23,184 cells identifies 15 clusters, few of which could be fully characterised by a single marker gene. We argue instead that the epithelial cells—especially in the luminal compartment—should rather be conceptualised as being part of a continuous spectrum of differentiation. Furthermore, our data support the existence of a common luminal progenitor cell giving rise to intermediate, restricted alveolar and hormone-sensing progenitors. This luminal progenitor compartment undergoes transcriptional changes in response to a full pregnancy, lactation and involution. In summary, our results provide a global, unbiased view of adult mammary gland development.
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Cites
Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314
Pericytes: Developmental, Physiological, and Pathological Perspectives, Problems, and Promises
Armulik, A., Genové, G., & Betsholtz, C. (2011) · Developmental Cell · doi:10.1016/j.devcel.2011.07.001 · Cited by 2,653
Generation of a functional mammary gland from a single stem cell
Shackleton, M., Vaillant, F., Simpson, K. J., Stingl, J., Smyth, G. K., Asselin-Labat, M.-L., Wu, L., Lindeman, G. J., & Visvader, J. E. (2006) · Nature · doi:10.1038/nature04372 · Cited by 2,005
kConFab, Lim, E., Vaillant, F., Wu, D., Forrest, N. C., Pal, B., Hart, A. H., Asselin-Labat, M.-L., Gyorki, D. E., Ward, T., et al. (2009) · Nature Medicine · doi:10.1038/nm.2000 · Cited by 1,492
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
L. Lun, A. T., Bach, K., & Marioni, J. C. (2016) · Genome Biology · doi:10.1186/s13059-016-0947-7 · Cited by 1,108
Self-citationDistinct stem cells contribute to mammary gland development and maintenance
Van Keymeulen, A., Rocha, A. S., Ousset, M., Beck, B., Bouvencourt, G., Rock, J., Sharma, N., Dekoninck, S., & Blanpain, C. (2011) · Nature · doi:10.1038/nature10573 · Cited by 854
Phenotypic and functional characterisation of the luminal cell hierarchy of the mammary gland
Shehata, M., Teschendorff, A., Sharp, G., Novcic, N., Russell, I. A., Avril, S., Prater, M., Eirew, P., Caldas, C., Watson, C. J., et al. (2012) · Breast Cancer Research · doi:10.1186/bcr3334 · Cited by 306
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SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data
Young, M. D., & Behjati, S. (2020) · GigaScience · doi:10.1093/gigascience/giaa151 · Cited by 1,619
Single-cell transcriptomics reveals cell-type-specific diversification in human heart failure
Koenig, A. L., Shchukina, I., Amrute, J., Andhey, P. S., Zaitsev, K., Lai, L., Bajpai, G., Bredemeyer, A., Smith, G., Jones, C., et al. (2022) · Nature Cardiovascular Research · doi:10.1038/s44161-022-00028-6 · Cited by 482
scds: computational annotation of doublets in single-cell RNA sequencing data
Bais, A. S., & Kostka, D. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btz698 · Cited by 308
Using single-cell genomics to understand developmental processes and cell fate decisions
Griffiths, J. A., Scialdone, A., & Marioni, J. C. (2018) · Molecular Systems Biology · doi:10.15252/msb.20178046 · Cited by 250
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Metadata
- Authors
- Bach, K., Pensa, S., Grzelak, M., Hadfield, J., Adams, D. J., Marioni, J. C., & Khaled, W. T.
- Venue
- Nature Communications
- Published
- 2017-12-11
- Volume
- 8
- Issue
- 1
- Pages
- 2128-2128
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2773586544
- Cited by
- 364
- References
- 8
- FWCI
- 9.71
- Type
- journal article
- Language
- en
- Open access
- gold
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- Bach, K., Pensa, S., Grzelak, M., Hadfield, J., Adams, D. J., Marioni, J. C., & Khaled, W. T. (2017). Differentiation dynamics of mammary epithelial cells revealed by single-cell RNA sequencing. Nature Communications. https://doi.org/10.1038/s41467-017-02001-5
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