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Large-scale analysis of macromolecular crowding effects on protein aggregation using a reconstituted cell-free translation system

机译:使用重构的无细胞翻译系统大规模分析分子拥挤对蛋白质聚集的影响

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摘要

Proteins must fold into their native structures in the crowded cellular environment, to perform their functions. Although such macromolecular crowding has been considered to affect the folding properties of proteins, large-scale experimental data have so far been lacking. Here, we individually translated 142 Escherichia coli cytoplasmic proteins using a reconstituted cell-free translation system in the presence of macromolecular crowding reagents (MCRs), Ficoll 70 or dextran 70, and evaluated the aggregation propensities of 142 proteins. The results showed that the MCR effects varied depending on the proteins, although the degree of these effects was modest. Statistical analyses suggested that structural parameters were involved in the effects of the MCRs. Our dataset provides a valuable resource to understand protein folding and aggregation inside cells.
机译:蛋白质必须在拥挤的细胞环境中折叠成其天然结构,才能发挥其功能。尽管已经认为这种大分子拥挤会影响蛋白质的折叠特性,但迄今为止仍缺乏大规模的实验数据。在这里,我们使用重组的无细胞翻译系统在大分子拥挤试剂(MCR),Ficoll 70或右旋糖酐70的存在下分别翻译了142种大肠杆菌胞质蛋白,并评估了142种蛋白的聚集倾向。结果表明,尽管这些作用的程度适中,但MCR的作用因蛋白质而异。统计分析表明,结构参数与MCR的作用有关。我们的数据集提供了宝贵的资源来了解细胞内蛋白质的折叠和聚集。

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