White Michael A, Clark Kathleen M, Grayhack Elizabeth J, Dumont Mark E
Department of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, NY 14642, USA.
J Mol Biol. 2007 Jan 19;365(3):621-36. doi: 10.1016/j.jmb.2006.10.004. Epub 2006 Oct 6.
Biochemical and structural analysis of membrane proteins often critically depends on the ability to overexpress and solubilize them. To identify properties of eukaryotic membrane proteins that may be predictive of successful overexpression, we analyzed expression levels of the genomic complement of over 1000 predicted membrane proteins in a recently completed Saccharomyces cerevisiae protein expression library. We detected statistically significant positive and negative correlations between high membrane protein expression and protein properties such as size, overall hydrophobicity, number of transmembrane helices, and amino acid composition of transmembrane segments. Although expression levels of membrane and soluble proteins exhibited similar negative correlations with overall hydrophobicity, high-level membrane protein expression was positively correlated with the hydrophobicity of predicted transmembrane segments. To further characterize yeast membrane proteins as potential targets for structure determination, we tested the solubility of 122 of the highest expressed yeast membrane proteins in six commonly used detergents. Almost all the proteins tested could be solubilized using a small number of detergents. Solubility in some detergents depended on protein size, number of transmembrane segments, and hydrophobicity of predicted transmembrane segments. These results suggest that bioinformatic approaches may be capable of identifying membrane proteins that are most amenable to overexpression and detergent solubilization for structural and biochemical analyses. Bioinformatic approaches could also be used in the redesign of proteins that are not intrinsically well-adapted to such studies.
膜蛋白的生化和结构分析通常严重依赖于对其进行过表达和增溶的能力。为了确定真核膜蛋白中可能预示成功过表达的特性,我们分析了最近完成的酿酒酵母蛋白表达文库中1000多种预测膜蛋白的基因组互补体的表达水平。我们检测到膜蛋白高表达与蛋白质特性(如大小、整体疏水性、跨膜螺旋数量以及跨膜区段的氨基酸组成)之间存在统计学上显著的正相关和负相关。尽管膜蛋白和可溶性蛋白的表达水平与整体疏水性呈现出相似的负相关,但膜蛋白的高表达与预测跨膜区段的疏水性呈正相关。为了进一步将酵母膜蛋白表征为结构测定的潜在靶点,我们测试了122种高表达酵母膜蛋白在六种常用去污剂中的溶解性。几乎所有测试的蛋白都能用少数几种去污剂增溶。在某些去污剂中的溶解性取决于蛋白质大小、跨膜区段数量以及预测跨膜区段的疏水性。这些结果表明,生物信息学方法可能能够识别出最适合进行过表达以及用于结构和生化分析的去污剂增溶的膜蛋白。生物信息学方法也可用于对那些本身不太适合此类研究的蛋白质进行重新设计。