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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis (scripts and data)

Authors: Saeki, Kohei; Gregory, Chang; Kanaya Noriko; Xiwei, Wu; Jinhui, Wang; Bernal Lauren; Desiree, Ha; +2 Authors

Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis (scripts and data)

Abstract

The female mammary epithelium undergoes reorganization during development, pregnancy, and menopause, linking to higher risks of developing breast cancer. To characterize these periods of complex remodeling, here we report integrated 50K mouse and 24K human mammary epithelial cell atlas obtained by single-cell RNA sequencing, which covers most lifetime stages. Our results indicate a putative trajectory that originates from embryonic mammary stem cells which differentiates into three epithelial lineages (basal, luminal hormone-sensing, and luminal alveolar), presumably arising from unipotent progenitors in postnatal glands. The identified lineage-specific genes inferred cells of origin of breast cancer using The Cancer Genome Atlas data and single-cell RNA sequencing of human breast cancer, as well as the association of gland reorganization to different breast cancer subtypes. This comprehensive murine mammary cell gene expression atlas (https://mouse-mammary-epithelium-integrated.cells.ucsc.edu) presented novel insights into the impact of the internal and external stimuli on the mammary epithelium at an advanced resolution. This dataset includes all the relevant scripts and data associated with the publication in the Communications Biology journal.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
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67
36
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Cancer Research