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Cited by 1,072

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Lineage Tracing Reveals Lgr5 + Stem Cell Activity in Mouse Intestinal Adenomas

Schepers, Arnout G., Snippert, Hugo J., Stange, Daniel E., van den Born, Maaike, van Es, Johan H., van de Wetering, Marc, Clevers, Hans·2012·Science

Abstract

Cancer Stem Cells in Color: One of the liveliest debates in contemporary cancer research centers on whether cancer stem cells (CSCs) exist and, if so, how these cells are defined phenotypically. CSCs are hypothesized to be a small population of cells within a tumor that are endowed with the unique capacity to drive tumor growth—a scenario that in principle would offer important therapeutic opportunities. By studying mice expressing multicolor reporter genes, Schepers et al. (p. 730 , published online 1 August) were able to visualize and monitor the fate of a candidate stem cell for intestinal adenomas, an early stage of cancer. This “lineage tracing” analysis suggests that tumor cells expressing the intestinal crypt stem cell marker Lgr5 (leucine-rich repeat containing G protein–coupled receptor 5) are the cells that fuel the growth of intestinal adenomas.

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Metadata

Authors
Schepers, A. G., Snippert, H. J., Stange, D. E., van den Born, M., van Es, J. H., van de Wetering, M., & Clevers, H.
Venue
Science
Published
2012-08-10
Volume
337
Issue
6095
Pages
730-735
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2066362124
Cited by
1,072
References
7
FWCI
66.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Lineage Tracing Reveals Lgr5 + Stem Cell Activity in Mouse Intestinal Adenomas. https://app.cochat.ai/papers/10.1126/science.1224676
The paper
Schepers, A. G., Snippert, H. J., Stange, D. E., van den Born, M., van Es, J. H., van de Wetering, M., & Clevers, H. (2012). Lineage Tracing Reveals Lgr5 + Stem Cell Activity in Mouse Intestinal Adenomas. Science. https://doi.org/10.1126/science.1224676

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