Suppr超能文献

基因表达中的噪音与生长速率相关联。

Noise in gene expression is coupled to growth rate.

作者信息

Keren Leeat, van Dijk David, Weingarten-Gabbay Shira, Davidi Dan, Jona Ghil, Weinberger Adina, Milo Ron, Segal Eran

机构信息

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel; Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 76100, Israel;

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel; Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, New York 10027, USA;

出版信息

Genome Res. 2015 Dec;25(12):1893-902. doi: 10.1101/gr.191635.115. Epub 2015 Sep 9.

Abstract

Genetically identical cells exposed to the same environment display variability in gene expression (noise), with important consequences for the fidelity of cellular regulation and biological function. Although population average gene expression is tightly coupled to growth rate, the effects of changes in environmental conditions on expression variability are not known. Here, we measure the single-cell expression distributions of approximately 900 Saccharomyces cerevisiae promoters across four environmental conditions using flow cytometry, and find that gene expression noise is tightly coupled to the environment and is generally higher at lower growth rates. Nutrient-poor conditions, which support lower growth rates, display elevated levels of noise for most promoters, regardless of their specific expression values. We present a simple model of noise in expression that results from having an asynchronous population, with cells at different cell-cycle stages, and with different partitioning of the cells between the stages at different growth rates. This model predicts non-monotonic global changes in noise at different growth rates as well as overall higher variability in expression for cell-cycle-regulated genes in all conditions. The consistency between this model and our data, as well as with noise measurements of cells growing in a chemostat at well-defined growth rates, suggests that cell-cycle heterogeneity is a major contributor to gene expression noise. Finally, we identify gene and promoter features that play a role in gene expression noise across conditions. Our results show the existence of growth-related global changes in gene expression noise and suggest their potential phenotypic implications.

摘要

基因相同的细胞暴露于相同环境时,基因表达会表现出变异性(噪音),这对细胞调节的保真度和生物学功能具有重要影响。尽管群体平均基因表达与生长速率紧密相关,但环境条件变化对表达变异性的影响尚不清楚。在这里,我们使用流式细胞术测量了约900个酿酒酵母启动子在四种环境条件下的单细胞表达分布,发现基因表达噪音与环境紧密相关,且在较低生长速率下通常更高。营养匮乏的条件支持较低的生长速率,对于大多数启动子来说,无论其具体表达值如何,噪音水平都会升高。我们提出了一个表达噪音的简单模型,该模型源于细胞群体的异步性,细胞处于不同的细胞周期阶段,且在不同生长速率下各阶段细胞的分配不同。该模型预测了不同生长速率下噪音的非单调全局变化,以及在所有条件下细胞周期调控基因表达的总体变异性更高。这个模型与我们的数据以及在恒化器中以明确生长速率生长的细胞的噪音测量结果之间的一致性,表明细胞周期异质性是基因表达噪音的主要贡献因素。最后,我们确定了在不同条件下对基因表达噪音起作用的基因和启动子特征。我们的结果表明存在与生长相关的基因表达噪音全局变化,并暗示了它们潜在的表型影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9403/4665010/82e51f33e3d4/1893f01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验