The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
On mammary stem cells
Abstract
Mammary gland stem cells are a quiescent and self-renewing population within the mammary gland that are capable of giving rise to the differentiated ductal, alveolar and myoepithelial cells. To identify mammary gland stem cells, several investigators have employed a variety of methods including: non-adherent mammosphere cultures; 5-bromo-2-deoxy-uridine (BrdU) label-retention studies; cell-surface markers, such as Sca1 and CD49f; and Hoechst dye efflux. These methods have helped identify and further characterize signal transduction pathways such as the Notch, Wnt and Hedgehog pathways that may be important for the self-renewal and fate determination of mammary gland stem cells. Stem cells within the mammary gland have been proposed to underpin many types of breast cancer. A better understanding of the signal transduction pathways and the molecules that are responsible for the self-renewal and survival of these cells will be essential in the design of more effective therapies aimed at the eradication of both cancer-initiating cells and breast cancer stem cells.
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Cites
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Cited by
Wnt/β-catenin signaling in cancer stemness and malignant behavior
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The Increasing Complexity of the Cancer Stem Cell Paradigm
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Uterine stem cells: What is the evidence?
Gargett, C. E. (2007) · Human Reproduction Update · doi:10.1093/humupd/dml045 · Cited by 373
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Metadata
- Authors
- Woodward, W. A., Chen, M. S., Behbod, F., & Rosen, J. M.
- Venue
- Journal of Cell Science
- Publisher
- The Company of Biologists
- Published
- 2005-08-15
- Volume
- 118
- Issue
- 16
- Pages
- 3585-3594
- ISSN
- 0021-9533 (ISSN-L)
- 1477-9137
- OpenAlex
- W1989281114
- Cited by
- 272
- References
- 73
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Woodward, W. A., Chen, M. S., Behbod, F., & Rosen, J. M. (2005). On mammary stem cells. Journal of Cell Science. https://doi.org/10.1242/jcs.02532
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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.