Organoid models for mammary gland dynamics and breast cancer.
Autor: | Srivastava V; Department of Pharmaceutical Chemistry, University of California San Francisco, CA, USA., Huycke TR; Department of Pharmaceutical Chemistry, University of California San Francisco, CA, USA., Phong KT; Department of Pharmaceutical Chemistry, University of California San Francisco, CA, USA; University of California Berkeley-University of California San Francisco Graduate Program in Bioengineering, San Francisco, CA, USA., Gartner ZJ; Department of Pharmaceutical Chemistry, University of California San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA; Chan Zuckerberg BioHub, University of California San Francisco, San Francisco, CA, USA; Center for Cellular Construction, University of California San Francisco, San Francisco, CA, USA. Electronic address: zev.gartner@ucsf.edu. |
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Jazyk: | angličtina |
Zdroj: | Current opinion in cell biology [Curr Opin Cell Biol] 2020 Oct; Vol. 66, pp. 51-58. Date of Electronic Publication: 2020 Jun 11. |
DOI: | 10.1016/j.ceb.2020.05.003 |
Abstrakt: | The mammary gland is a highly dynamic tissue that undergoes repeated cycles of growth and involution during pregnancy and menstruation. It is also the site from which breast cancers emerge. Organoids provide an in vitro model that preserves several of the cellular, structural, and microenvironmental features that dictate mammary gland function in vivo and have greatly advanced our understanding of glandular biology. Their tractability for genetic manipulation, live imaging, and high throughput screening have facilitated investigation into the mechanisms of glandular morphogenesis, structural maintenance, tumor progression, and invasion. Opportunities remain to enhance cellular and structural complexity of mammary organoid models, including incorporating additional cell types and hormone signaling. Competing Interests: Conflict of interest statement Nothing declared. (Copyright © 2020. Published by Elsevier Ltd.) |
Databáze: | MEDLINE |
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