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The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Organoid culture systems for prostate epithelial and cancer tissue

Open access
Drost, Jarno, Karthaus, Wouter R, Gao, Dong, Driehuis, Else, Sawyers, Charles L, Chen, Yu, Clevers, Hans·2016·Nature Protocols

Abstract

This protocol describes a strategy for the generation of 3D prostate organoid cultures from healthy mouse and human prostate cells (either bulk or FACS-sorted single luminal and basal cells), metastatic prostate cancer lesions and circulating tumor cells. Organoids derived from healthy material contain the differentiated luminal and basal cell types, whereas organoids derived from prostate cancer tissue mimic the histology of the tumor. We explain how to establish these cultures in the fully defined serum-free conditioned medium that is required to sustain organoid growth. Starting with the plating of digested tissue material, full-grown organoids can usually be obtained in ∼2 weeks. The culture protocol we describe here is currently the only one that allows the growth of both the luminal and basal prostatic epithelial lineages, as well as the growth of advanced prostate cancers. Organoids established using this protocol can be used to study many different aspects of prostate biology, including homeostasis, tumorigenesis and drug discovery.

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Metadata

Authors
Drost, J., Karthaus, W. R., Gao, D., Driehuis, E., Sawyers, C. L., Chen, Y., & Clevers, H.
Venue
Nature Protocols
Published
2016-01-21
Volume
11
Issue
2
Pages
347-358
ISSN
  • 1750-2799 (ISSN-L)
  • 1754-2189
OpenAlex
W2255555283
Cited by
699
References
26
FWCI
38.66
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Organoid culture systems for prostate epithelial and cancer tissue. https://app.cochat.ai/papers/10.1038/nprot.2016.006
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Drost, J., Karthaus, W. R., Gao, D., Driehuis, E., Sawyers, C. L., Chen, Y., & Clevers, H. (2016). Organoid culture systems for prostate epithelial and cancer tissue. Nature Protocols. https://doi.org/10.1038/nprot.2016.006

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.