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无细胞蛋白合成的综合生物信息学分析:鉴定与成功表达相关的多种蛋白质特性。

Comprehensive bioinformatics analysis of cell-free protein synthesis: identification of multiple protein properties that correlate with successful expression.

机构信息

RIKEN Systems and Structural Biology Center, Yokohama, Japan.

出版信息

FASEB J. 2010 Apr;24(4):1095-104. doi: 10.1096/fj.09-139527. Epub 2009 Nov 25.

Abstract

High-throughput cell-free protein synthesis is being used increasingly in structural/functional genomics projects. However, the factors determining expression success are poorly understood. Here, we evaluated the expression of 3066 human proteins and their domains in a bacterial cell-free system and analyzed the correlation of protein expression with 39 physicochemical and structural properties of proteins. As a result of the bioinformatics analysis performed, we determined the 18 most influential features that affect protein amenability to cell-free expression. They include protein length; hydrophobicity; pI; content of charged, nonpolar, and aromatic residues;, cysteine content; solvent accessibility; presence of coiled coil; content of intrinsically disordered and structured (alpha-helix and beta-sheet) sequence; number of disulfide bonds and functional domains; presence of transmembrane regions; PEST motifs; and signaling sequences. This study represents the first comprehensive bioinformatics analysis of heterologous protein synthesis in a cell-free system. The rules and correlations revealed here provide a plethora of important insights into rationalization of cell-free protein production and can be of practical use for protein engineering with the aim of increasing expression success.-Kurotani, A., Takagi, T., Toyama, M., Shirouzu, M., Yokoyama, S., Fukami, Y., Tokmakov, A. A. Comprehensive bioinformatics analysis of cell-free protein synthesis: identification of multiple protein properties that correlate with successful expression.

摘要

高通量无细胞蛋白质合成在结构/功能基因组学项目中被越来越多地应用。然而,决定表达成功的因素还了解甚少。在这里,我们在细菌无细胞系统中评估了 3066 个人类蛋白质及其结构域的表达,并分析了蛋白质表达与蛋白质的 39 种物理化学和结构特性之间的相关性。通过进行的生物信息学分析,我们确定了 18 个最能影响蛋白质无细胞表达能力的特征。它们包括蛋白质长度;疏水性;pI;带电荷、非极性和芳香族残基的含量;半胱氨酸含量;溶剂可及性;卷曲螺旋的存在;无序和结构(α-螺旋和β-折叠)序列的含量;二硫键和功能域的数量;跨膜区域的存在;PEST 基序;和信号序列。本研究代表了无细胞系统中异源蛋白质合成的首次全面生物信息学分析。这里揭示的规则和相关性为合理化无细胞蛋白质生产提供了大量重要的见解,并可实际用于蛋白质工程,以提高表达成功率。-黑谷 A.、高木 T.、豊田 M.、白鸟 M.、横手 S.、福神 Y.、德永 A. A. 无细胞蛋白质合成的综合生物信息学分析:确定与成功表达相关的多种蛋白质特性。

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