Work

The hidden costs of aneuploidy: New insights from yeast

Year: 2024

Type: article

Abstract: 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.

Source: Cell Genomics

DOI: 10.1016/j.xgen.2024.100673

Authors: Yuerong Wang, Xian Fu, Yue Shen

Institutions: BGI Group (China), University of Chinese Academy of Sciences, BGI Research

Language: English

Topic: Microtubule and mitosis dynamics

Subfield: Cell Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $8,900

Funder: National Natural Science Foundation of China