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Cited by 167

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Elimination of Unfit Cells Maintains Tissue Health and Prolongs Lifespan

Open access
Merino, Marisa M., Rhiner, Christa, Lopez-Gay, Jesus M., Buechel, David, Hauert, Barbara, Moreno, Eduardo·2015·Cell

Abstract

Viable yet damaged cells can accumulate during development and aging. Although eliminating those cells may benefit organ function, identification of this less fit cell population remains challenging. Previously, we identified a molecular mechanism, based on "fitness fingerprints" displayed on cell membranes, which allows direct fitness comparison among cells in Drosophila. Here, we study the physiological consequences of efficient cell selection for the whole organism. We find that fitness-based cell culling is naturally used to maintain tissue health, delay aging, and extend lifespan in Drosophila. We identify a gene, azot, which ensures the elimination of less fit cells. Lack of azot increases morphological malformations and susceptibility to random mutations and accelerates tissue degeneration. On the contrary, improving the efficiency of cell selection is beneficial for tissue health and extends lifespan.

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Metadata

Authors
Merino, M. M., Rhiner, C., Lopez-Gay, J. M., Buechel, D., Hauert, B., & Moreno, E.
Venue
Cell
Publisher
Elsevier BV
Published
2015-01
Volume
160
Issue
3
Pages
461-476
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2030982446
Cited by
167
References
8
FWCI
5.00
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Elimination of Unfit Cells Maintains Tissue Health and Prolongs Lifespan. https://app.cochat.ai/papers/10.1016/j.cell.2014.12.017
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Merino, M. M., Rhiner, C., Lopez-Gay, J. M., Buechel, D., Hauert, B., & Moreno, E. (2015). Elimination of Unfit Cells Maintains Tissue Health and Prolongs Lifespan. Cell. https://doi.org/10.1016/j.cell.2014.12.017

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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.