非整倍体的隐性成本：来自酵母的新见解

IF 11.1 Q1 CELL BIOLOGY

Cell genomics Pub Date : 2024-10-09 DOI:10.1016/j.xgen.2024.100673

Yuerong Wang, Xian Fu, Yue Shen

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引用次数: 0

摘要

非整倍体的悖论效应1 的分子机制仍未完全明了。在本期杂志中，Rojas 等人2 系统分析了非整倍体的相关代价和分子驱动因素，发现非整倍体压力主要由每条染色体上基因的累积效应驱动。值得注意的是，通过机器学习，基因长度被预测为非整倍体毒性的最重要指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The hidden costs of aneuploidy: New insights from yeast.

The molecular mechanisms underlying the paradoxical effects¹ of aneuploidy are still not completely understood. In this issue, Rojas et al.² 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.

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来源期刊

Cell genomics

CiteScore

7.10

自引率

0.00%

发文量