The hidden costs of aneuploidy: New insights from yeast
The molecular mechanisms underlying the paradoxical effects<sup>1</sup> of aneuploidy are still not completely understood. In this issue, Rojas et al.<sup>2</sup> systematically analyzed the associated costs of aneuploidy and the molecular drivers involved, which revealed that aneuploidy stress is primarily driven by the cumulative effects of genes per chromosome. Notably, gene length was predicted as the most significant indicator of aneuploidy toxicity by machine learning.
Authors
- Yuerong Wang (ORCID: https://orcid.org/0009-0001-8579-5900)
- Xian Fu (ORCID: https://orcid.org/0000-0001-9044-8850)
- Yue Shen (ORCID: https://orcid.org/0000-0002-3276-7295)
Institutions
- BGI Group (China) (CN)
Publication Details
- Journal
- Cell Genomics
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1016/j.xgen.2024.100673
- Primary Topic
- Microtubule and mitosis dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China