The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Emerging mechanisms of cell competition
Open accessAbstract
The growth and survival of cells within tissues can be affected by ‘cell competition’ between different cell clones. This phenomenon was initially recognized between wild-type cells and cells with mutations in ribosomal protein (Rp) genes in Drosophila melanogaster. However, competition also affects D. melanogaster cells with mutations in epithelial polarity genes, and wild-type cells exposed to ‘super-competitor’ cells with mutation in the Salvador–Warts–Hippo tumour suppressor pathway or expressing elevated levels of Myc. More recently, cell competition and super-competition were recognized in mammalian development, organ homeostasis and cancer. Genetic and cell biological studies have revealed that mechanisms underlying cell competition include the molecular recognition of ‘different’ cells, signalling imbalances between distinct cell populations and the mechanical consequences of differential growth rates; these mechanisms may also involve innate immune proteins, p53 and changes in translation. The growth and survival of cells within tissues can be influenced by competition between different cell clones. Genetic and cell biological studies suggest that cell competition may occur through the molecular recognition of ‘different’ cells, signalling imbalances between cell populations or the mechanical consequences of differential growth rates.
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Cites
High burden and pervasive positive selection of somatic mutations in normal human skin
Martincorena, I., Roshan, A., Gerstung, M., Ellis, P., Van Loo, P., McLaren, S., Wedge, D. C., Fullam, A., Alexandrov, L. B., Tubio, J. M., et al. (2015) · Science · doi:10.1126/science.aaa6806 · Cited by 1,770
Somatic mutation in cancer and normal cells
Martincorena, I., & Campbell, P. J. (2015) · Science · doi:10.1126/science.aab4082 · Cited by 1,396
RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues
Yizhak, K., Aguet, F., Kim, J., Hess, J. M., Kübler, K., Grimsby, J., Frazer, R., Zhang, H., Haradhvala, N. J., Rosebrock, D., et al. (2019) · Science · doi:10.1126/science.aaw0726 · Cited by 500
The pathological response to DNA damage does not contribute to p53-mediated tumour suppression
Christophorou, M. A., Ringshausen, I., Finch, A. J., Swigart, L. B., & Evan, G. I. (2006) · Nature · doi:10.1038/nature05077 · Cited by 382
p53-Mediated Hematopoietic Stem and Progenitor Cell Competition
Bondar, T., & Medzhitov, R. (2010) · Cell Stem Cell · doi:10.1016/j.stem.2010.03.002 · Cited by 342
Igaki, T., Pastor-Pareja, J. C., Aonuma, H., Miura, M., & Xu, T. (2009) · Developmental Cell · doi:10.1016/j.devcel.2009.01.002 · Cited by 295
Cell competition is a tumour suppressor mechanism in the thymus
Martins, V. C., Busch, K., Juraeva, D., Blum, C., Ludwig, C., Rasche, V., Lasitschka, F., Mastitsky, S. E., Brors, B., Hielscher, T., et al. (2014) · Nature · doi:10.1038/nature13317 · Cited by 231
Loss of Scribble causes cell competition in mammalian cells
Norman, M., Wisniewska, K. A., Lawrenson, K., Garcia-Miranda, P., Tada, M., Kajita, M., Mano, H., Ishikawa, S., Ikegawa, M., Shimada, T., et al. (2012) · Journal of Cell Science · doi:10.1242/jcs.085803 · Cited by 170
The ligand Sas and its receptor PTP10D drive tumour-suppressive cell competition
Yamamoto, M., Ohsawa, S., Kunimasa, K., & Igaki, T. (2017) · Nature · doi:10.1038/nature21033 · Cited by 157
Irradiation selects for p53-deficient hematopoietic progenitors.
Marusyk, A., Porter, C. C., Zaberezhnyy, V., & DeGregori, J. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000324 · Cited by 151
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Next-generation sequencing methodologies to detect low-frequency mutations: “Catch me if you can”
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The origin of hepatocellular carcinoma depends on metabolic zonation
Guo, J., Liang, R., Chung, A., Li, Z., Li, B., Chen, E., Li, L., Wang, J., Hsieh, M.-H., Fang, I. X., et al. (2026) · Science · doi:10.1126/science.adv7129 · Cited by 24
Metadata
- Authors
- Baker, N. E.
- Venue
- Nature Reviews Genetics
- Published
- 2020-08-10
- Volume
- 21
- Issue
- 11
- Pages
- 683-697
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W3048331025
- Cited by
- 216
- References
- 11
- FWCI
- 3.45
- Type
- journal article
- Language
- en
- Open access
- green
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