A spatially resolved single-cell genomic atlas of the adult human breast. Kumar, T., Nee, K., Wei, R., He, S., Nguyen, Q. H., Bai, S., Blake, K., Pein, M., Gong, Y., Sei, E., Hu, M., Casasent, A. K., Thennavan, A., Li, J., Tran, T., Chen, K., Nilges, B., Kashikar, N., Braubach, O., Ben Cheikh, B., Nikulina, N., Chen, H., Teshome, M., Menegaz, B., Javaid, H., Nagi, C., Montalvan, J., Lev, T., Mallya, S., Tifrea, D. F., Edwards, R., Lin, E., Parajuli, R., Hanson, S., Winocour, S., Thompson, A., Lim, B., Lawson, D. A., Kessenbrock, K., & Navin, N. Nature, 620(7972):181–191, August, 2023. Number: 7972 Publisher: Nature Publishing Group![A spatially resolved single-cell genomic atlas of the adult human breast [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex The adult human breast is comprised of an intricate network of epithelial ducts and lobules that are embedded in connective and adipose tissue1–3. Although most previous studies have focused on the breast epithelial system4–6, many of the non-epithelial cell types remain understudied. Here we constructed the comprehensive Human Breast Cell Atlas (HBCA) at single-cell and spatial resolution. Our single-cell transcriptomics study profiled 714,331 cells from 126 women, and 117,346 nuclei from 20 women, identifying 12 major cell types and 58 biological cell states. These data reveal abundant perivascular, endothelial and immune cell populations, and highly diverse luminal epithelial cell states. Spatial mapping using four different technologies revealed an unexpectedly rich ecosystem of tissue-resident immune cells, as well as distinct molecular differences between ductal and lobular regions. Collectively, these data provide a reference of the adult normal breast tissue for studying mammary biology and diseases such as breast cancer.
@article{kumar_spatially_2023,
title = {A spatially resolved single-cell genomic atlas of the adult human breast},
volume = {620},
copyright = {2023 The Author(s), under exclusive licence to Springer Nature Limited},
issn = {1476-4687},
url = {https://www.nature.com/articles/s41586-023-06252-9},
doi = {10.1038/s41586-023-06252-9},
abstract = {The adult human breast is comprised of an intricate network of epithelial ducts and lobules that are embedded in connective and adipose tissue1–3. Although most previous studies have focused on the breast epithelial system4–6, many of the non-epithelial cell types remain understudied. Here we constructed the comprehensive Human Breast Cell Atlas (HBCA) at single-cell and spatial resolution. Our single-cell transcriptomics study profiled 714,331 cells from 126 women, and 117,346 nuclei from 20 women, identifying 12 major cell types and 58 biological cell states. These data reveal abundant perivascular, endothelial and immune cell populations, and highly diverse luminal epithelial cell states. Spatial mapping using four different technologies revealed an unexpectedly rich ecosystem of tissue-resident immune cells, as well as distinct molecular differences between ductal and lobular regions. Collectively, these data provide a reference of the adult normal breast tissue for studying mammary biology and diseases such as breast cancer.},
language = {en},
number = {7972},
urldate = {2023-09-29},
journal = {Nature},
author = {Kumar, Tapsi and Nee, Kevin and Wei, Runmin and He, Siyuan and Nguyen, Quy H. and Bai, Shanshan and Blake, Kerrigan and Pein, Maren and Gong, Yanwen and Sei, Emi and Hu, Min and Casasent, Anna K. and Thennavan, Aatish and Li, Jianzhuo and Tran, Tuan and Chen, Ken and Nilges, Benedikt and Kashikar, Nachiket and Braubach, Oliver and Ben Cheikh, Bassem and Nikulina, Nadya and Chen, Hui and Teshome, Mediget and Menegaz, Brian and Javaid, Huma and Nagi, Chandandeep and Montalvan, Jessica and Lev, Tatyana and Mallya, Sharmila and Tifrea, Delia F. and Edwards, Robert and Lin, Erin and Parajuli, Ritesh and Hanson, Summer and Winocour, Sebastian and Thompson, Alastair and Lim, Bora and Lawson, Devon A. and Kessenbrock, Kai and Navin, Nicholas},
month = aug,
year = {2023},
note = {Number: 7972
Publisher: Nature Publishing Group},
keywords = {Gene expression, Gene expression profiling, Gene regulatory networks},
pages = {181--191},
}
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