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调控元件解释了酵母中不同基因间大部分的mRNA稳定性差异。

-regulatory elements explain most of the mRNA stability variation across genes in yeast.

作者信息

Cheng Jun, Maier Kerstin C, Avsec Žiga, Rus Petra, Gagneur Julien

机构信息

Department of Informatics, Technical University of Munich, 85748 Garching, Germany.

Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, 81377 München, Germany.

出版信息

RNA. 2017 Nov;23(11):1648-1659. doi: 10.1261/rna.062224.117. Epub 2017 Aug 11.

Abstract

The stability of mRNA is one of the major determinants of gene expression. Although a wealth of sequence elements regulating mRNA stability has been described, their quantitative contributions to half-life are unknown. Here, we built a quantitative model for based on functional mRNA sequence features that explains 59% of the half-life variation between genes and predicts half-life at a median relative error of 30%. The model revealed a new destabilizing 3' UTR motif, ATATTC, which we functionally validated. Codon usage proves to be the major determinant of mRNA stability. Nonetheless, single-nucleotide variations have the largest effect when occurring on 3' UTR motifs or upstream AUGs. Analyzing mRNA half-life data of 34 knockout strains showed that the effect of codon usage not only requires functional decapping and deadenylation, but also the 5'-to-3' exonuclease Xrn1, the nonsense-mediated decay genes, but not no-go decay. Altogether, this study quantitatively delineates the contributions of mRNA sequence features on stability in yeast, reveals their functional dependencies on degradation pathways, and allows accurate prediction of half-life from mRNA sequence.

摘要

mRNA的稳定性是基因表达的主要决定因素之一。尽管已经描述了大量调节mRNA稳定性的序列元件,但它们对半衰期的定量贡献尚不清楚。在此,我们基于功能性mRNA序列特征构建了一个定量模型,该模型解释了基因间59%的半衰期差异,并以30%的中位相对误差预测半衰期。该模型揭示了一个新的不稳定3'UTR基序ATATTC,我们对其进行了功能验证。密码子使用被证明是mRNA稳定性的主要决定因素。尽管如此,单核苷酸变异发生在3'UTR基序或上游AUG上时影响最大。分析34个基因敲除菌株的mRNA半衰期数据表明,密码子使用的影响不仅需要功能性的去帽和腺苷酸化,还需要5'到3'外切核酸酶Xrn1、无义介导的衰变基因,但不需要无义衰变。总之,这项研究定量地描述了mRNA序列特征对酵母中稳定性的贡献,揭示了它们对降解途径的功能依赖性,并允许从mRNA序列准确预测半衰期。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bd0/5648033/54499c3288be/1648f01.jpg

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