Title |
An ancient defense system eliminates unfit cells from developing tissues during cell competition
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Published in |
Science, December 2014
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DOI | 10.1126/science.1258236 |
Pubmed ID | |
Authors |
S N Meyer, M Amoyel, C Bergantiños, C de la Cova, C Schertel, K Basler, L A Johnston |
Abstract |
Developing tissues that contain mutant or compromised cells present risks to animal health. Accordingly, the appearance of a population of suboptimal cells in a tissue elicits cellular interactions that prevent their contribution to the adult. Here we report that this quality control process, cell competition, uses specific components of the evolutionarily ancient and conserved innate immune system to eliminate Drosophila cells perceived as unfit. We find that Toll-related receptors (TRRs) and the cytokine Spätzle (Spz) lead to NFκB-dependent apoptosis. Diverse "loser" cells require different TRRs and NFκB factors and activate distinct pro-death genes, implying that the particular response is stipulated by the competitive context. Our findings demonstrate a functional repurposing of components of TRRs and NFκB signaling modules in the surveillance of cell fitness during development. |
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United States | 15 | 25% |
United Kingdom | 6 | 10% |
France | 4 | 7% |
Spain | 2 | 3% |
Canada | 2 | 3% |
Norway | 1 | 2% |
Japan | 1 | 2% |
India | 1 | 2% |
Australia | 1 | 2% |
Other | 3 | 5% |
Unknown | 25 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 39 | 64% |
Scientists | 20 | 33% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 2% |
Japan | 3 | <1% |
France | 2 | <1% |
Austria | 1 | <1% |
China | 1 | <1% |
Germany | 1 | <1% |
Sweden | 1 | <1% |
Philippines | 1 | <1% |
Unknown | 337 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 95 | 27% |
Researcher | 72 | 20% |
Student > Master | 31 | 9% |
Student > Bachelor | 29 | 8% |
Professor > Associate Professor | 16 | 5% |
Other | 51 | 14% |
Unknown | 61 | 17% |
Readers by discipline | Count | As % |
---|---|---|
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Biochemistry, Genetics and Molecular Biology | 102 | 29% |
Immunology and Microbiology | 14 | 4% |
Medicine and Dentistry | 12 | 3% |
Engineering | 10 | 3% |
Other | 25 | 7% |
Unknown | 65 | 18% |