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Cited by 196

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Epithelial–stromal interactions in the mouse and human mammary gland in vivo

Open access
Parmar, Hema, Cunha, Gerald R·2004·Endocrine-Related Cancer

Abstract

This review deals with the development and hormonal responses of mouse and human mammary glands. A major focus of the review is the role of mesenchymal–epithelial interactions in embryonic mammary development and the role of stromal–epithelial interactions in mammary gland biology. Finally, we present a new model for studying growth, differentiation and hormonal response in human breast epithelium grown in vivo in nude mouse hosts. This new model involves the construction of tissue recombinants composed of human or mouse mammary fibroblasts plus human breast epithelium in polymerized collagen gels. In the model, mouse mammary fibroblasts and human breast fibroblasts appear to support the normal differentiation and growth of human breast epithelium equally. This observation raises the possibility of using mouse mammary fibroblasts from various mutant mice to assess the role of specific paracrine-acting gene products in human mammary gland biology and carcinogenesis.

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Crossref · 10.1677/erc.1.00659

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Metadata

Authors
Parmar, H., & Cunha, G. R.
Venue
Endocrine-Related Cancer
Published
2004-09
Volume
11
Issue
3
Pages
437-458
ISSN
  • 1351-0088 (ISSN-L)
  • 1479-6821
OpenAlex
W2122070595
Cited by
196
References
2
FWCI
5.89
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Epithelial–stromal interactions in the mouse and human mammary gland in vivo. https://app.cochat.ai/papers/10.1677/erc.1.00659
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Parmar, H., & Cunha, G. R. (2004). Epithelial–stromal interactions in the mouse and human mammary gland in vivo. Endocrine-Related Cancer. https://doi.org/10.1677/erc.1.00659

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.