Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, USA.
Division of Biology and Biological Engineering, Center for Advanced Methods in Biological Image Analysis, Beckman Institute, Pasadena, California, USA.
Traffic. 2021 Sep;22(9):306-318. doi: 10.1111/tra.12809. Epub 2021 Aug 3.
The correct targeting and insertion of tail-anchored (TA) integral membrane proteins is critical for cellular homeostasis. TA proteins are defined by a hydrophobic transmembrane domain (TMD) at their C-terminus and are targeted to either the ER or mitochondria. Derived from experimental measurements of a few TA proteins, there has been little examination of the TMD features that determine localization. As a result, the localization of many TA proteins are misclassified by the simple heuristic of overall hydrophobicity. Because ER-directed TMDs favor arrangement of hydrophobic residues to one side, we sought to explore the role of geometric hydrophobic properties. By curating TA proteins with experimentally determined localizations and assessing hypotheses for recognition, we bioinformatically and experimentally verify that a hydrophobic face is the most accurate singular metric for separating ER and mitochondria-destined yeast TA proteins. A metric focusing on an 11 residue segment of the TMD performs well when classifying human TA proteins. The most inclusive predictor uses both hydrophobicity and C-terminal charge in tandem. This work provides context for previous observations and opens the door for more detailed mechanistic experiments to determine the molecular factors driving this recognition.
正确的靶向和插入尾部锚定(TA)的整合膜蛋白对于细胞内稳态至关重要。TA 蛋白的定义是其 C 末端的一个疏水跨膜结构域(TMD),并靶向 ER 或线粒体。从对少数 TA 蛋白的实验测量中得出,很少有研究考察决定定位的 TMD 特征。因此,许多 TA 蛋白的定位被整体疏水性的简单启发式方法错误分类。由于 ER 靶向 TMD 倾向于将疏水性残基排列在一侧,我们试图探索几何疏水性特征的作用。通过对具有实验确定的定位的 TA 蛋白进行整理,并评估识别假说,我们从生物信息学和实验上验证了疏水面是分离 ER 和线粒体定向酵母 TA 蛋白的最准确的单一度量标准。当对人类 TA 蛋白进行分类时,一种关注 TMD 11 个残基片段的度量标准表现良好。最具包容性的预测器同时使用疏水性和 C 末端电荷。这项工作为以前的观察结果提供了背景,并为更详细的机制实验打开了大门,以确定驱动这种识别的分子因素。