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蛋白质融解温度无法全面评估蛋白质折叠自由能是否为蛋白质中所见的普遍丰度-进化速率相关性的基础。

Protein Melting Temperature Cannot Fully Assess Whether Protein Folding Free Energy Underlies the Universal Abundance-Evolutionary Rate Correlation Seen in Proteins.

机构信息

Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.

出版信息

Mol Biol Evol. 2019 Sep 1;36(9):1955-1963. doi: 10.1093/molbev/msz119.

DOI:10.1093/molbev/msz119
PMID:31093676
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6736436/
Abstract

The protein misfolding avoidance hypothesis explains the universal negative correlation between protein abundance and sequence evolutionary rate across the proteome by identifying protein folding free energy (ΔG) as the confounding variable. Abundant proteins resist toxic misfolding events by being more stable, and more stable proteins evolve slower because their mutations are more destabilizing. Direct supporting evidence consists only of computer simulations. A study taking advantage of a recent experimental breakthrough in measuring protein stability proteome-wide through melting temperature (Tm) (Leuenberger et al. 2017), found weak misfolding avoidance hypothesis support for the Escherichia coli proteome, and no support for the Saccharomyces cerevisiae, Homo sapiens, and Thermus thermophilus proteomes (Plata and Vitkup 2018). I find that the nontrivial relationship between Tm and ΔG and inaccuracy in Tm measurements by Leuenberger et al. 2017 can be responsible for not observing strong positive abundance-Tm and strong negative Tm-evolutionary rate correlations.

摘要

蛋白质错误折叠避免假说通过将蛋白质折叠自由能(ΔG)确定为混杂变量,解释了蛋白质丰度和序列进化率在整个蛋白质组中普遍存在的负相关关系。丰富的蛋白质通过更加稳定来抵抗有毒的错误折叠事件,而更稳定的蛋白质进化速度更慢,因为它们的突变更不稳定。直接支持证据仅包括计算机模拟。一项利用最近在通过熔点(Tm)测量蛋白质稳定性方面取得的实验突破的研究(Leuenberger 等人,2017 年),对大肠杆菌蛋白质组的错误折叠避免假说提供了微弱的支持,而对酿酒酵母、智人和嗜热栖热菌蛋白质组没有支持(Plata 和 Vitkup,2018 年)。我发现,Tm 和 ΔG 之间的非平凡关系以及 Leuenberger 等人 2017 年 Tm 测量的不准确性可能导致没有观察到强烈的丰度-Tm 和强烈的负 Tm-进化率相关性。

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本文引用的文献

1
UniProt: a worldwide hub of protein knowledge.UniProt:蛋白质知识的全球枢纽。
Nucleic Acids Res. 2019 Jan 8;47(D1):D506-D515. doi: 10.1093/nar/gky1049.
2
Thermal proteome profiling in bacteria: probing protein state .细菌的热蛋白质组分析:探测蛋白质状态
Mol Syst Biol. 2018 Jul 6;14(7):e8242. doi: 10.15252/msb.20188242.
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ProteomeVis: a web app for exploration of protein properties from structure to sequence evolution across organisms' proteomes.蛋白质组可视化分析工具:一个用于探索蛋白质特性的网络应用程序,涵盖从结构到生物体蛋白质组序列进化的各个方面。
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Thermal proximity coaggregation for system-wide profiling of protein complex dynamics in cells.热近邻共沉淀技术用于系统分析细胞内蛋白质复合物的动态变化。
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Evidence of evolutionary selection for cotranslational folding.进化选择共翻译折叠的证据。
Proc Natl Acad Sci U S A. 2017 Oct 24;114(43):11434-11439. doi: 10.1073/pnas.1705772114. Epub 2017 Oct 10.
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Absolute Quantification of Protein and mRNA Abundances Demonstrate Variability in Gene-Specific Translation Efficiency in Yeast.绝对定量蛋白质和 mRNA 丰度表明酵母中基因特异性翻译效率的可变性。
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Cell-wide analysis of protein thermal unfolding reveals determinants of thermostability.细胞水平分析蛋白质热变性揭示热稳定性决定因素。
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