Membrane protein folding and assembly

膜蛋白折叠和组装

• 批准号: 8197738
• 负责人: STEPHEN H. WHITE
• 金额: $ 35.37万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2014-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8197738
• 关键词: Accounting; Affect; Algorithms; Amino Acid Sequence; Bacteria; Belief; Bioinformatics; Biological; Canis familiaris; Code; Collaborations; Complex; Defect; Development; Escherichia coli; Eukaryota; Goals; Hydrogen Bonding; Hydrophobicity; In Vitro; Laboratories; Lead; Lipid Bilayers; Lipids; Measurement; Mediating; Membrane; Membrane Proteins; Methanococcus; Molecular; Mutation; Organism; Pancreas; Pathway interactions; Peptide Hydrolases; Peptide Signal Sequences; Pharmaceutical Preparations; Protein Secretion; Proteins; Quality Control; Research; Signal Recognition Particle; Signal Transduction; System; base; biological research; design; genome-wide; in vivo; insight; molecular dynamics; mutant; protein folding; protein function; public health relevance; research study; therapeutic target; three dimensional structure

DESCRIPTION (provided by applicant): An accurate first-principles algorithm for predicting the 3D structure of 1-helical membrane proteins (MPs) from amino acid sequence would profoundly affect the course of biological research on MP function. The research proposed here is designed to bring us closer to that goal. The project is guided by our belief that the keys to successful prediction are to understand the physical principles of MP stability in lipid bilayers and the biological principles of MP assembly, especially the principles of transmembrane (TM) helix selection by the translocon complex (Sec61123 in eukaryotes and SecYEG in bacteria). The "Big Picture" goal of this project is to tighten the connection between the physical and biological principles as represented by hydrophobicity scales for predicting TM helices. We have discovered through molecular dynamics simulations of the SecYEG translocon from Methanococcus jannaschii, whose 3D structure is known, that the translocon is stabilized in its closed state by an intricate hydrogen-bond network that must be restructured during translocon opening initiated by signal sequences. Furthermore, we have found that this network is strongly perturbed by the well known prlA mutations of Escherichia coli that cause defects in protein secretion and helix insertion. Understanding the molecular basis for prlA-mutation defects will provide insights into the mechanism of translocon-mediated MP assembly. We thus propose to examine the effect of prlA mutations on the code used by E. coli translocons in vivo to select transmembrane helices during MP assembly. To connect prlA mutations to the selection code, we will develop in vivo TM-helix hydrophobicity scales for E. coli using single-span MPs to take advantage of the possibility of inserting TM helices along two different pathways: the SecA post-translational pathway or the co-translational signal recognition particle (SRP) pathway. This approach will clarify the relation between physical and biological principles. Our first steps in the development of a single-span MP system yielded unexpected and puzzling results. Even though single- span MPs are the most abundant MPs in all organisms, they have never been subjected to systematic study in E. coli. Preliminary results suggest the existence of previously unrecognized MP targeting signals that may involve the FtsH MP quality-control protease. These considerations lead to four specific aims: (1) Establish in vivo biological hydrophobicity scales for the insertion of single-span MPs along the SecA and SRP pathways. (2) Guided by molecular dynamics simulations, use the resulting scales of Aim 1 to examine the effects of prl mutants on SecYEG selection of TM helices. (3) To enhance genome-wide analyses of MPs, carry out a detailed bioinformatics analysis of E. coli single-span MPs in combination with systematic experimental studies to characterize and classify single-span MPs. (4) Characterize new targeting signals and a potential single- span MP insertion pathway that may involve the FtsH MP quality-control protease. PUBLIC HEALTH RELEVANCE: An accurate first-principles algorithm for predicting the three-dimensional structure of membrane proteins from amino acid sequence would profoundly affect research on membrane proteins, which are major targets for therapeutic drugs. The project is guided by the idea that the keys to successful prediction are to understand the physical principles of membrane protein stability and the biological principles of membrane protein assembly. Our goal is to tighten the connection between the physical and biological principles as a basis for prediction algorithms.

描述（由申请人提供）：从氨基酸序列中准确预测1-螺旋膜蛋白（MPs）三维结构的第一性原理算法将深刻影响MP功能的生物学研究进程。这里提出的研究旨在使我们更接近这一目标。我们相信，成功预测的关键是了解MP在脂质双层中稳定性的物理原理和MP组装的生物学原理，特别是跨膜（TM）螺旋选择的原理（真核生物中的Sec61123和细菌中的SecYEG）。这个项目的“大蓝图”目标是加强物理和生物学原理之间的联系，以疏水性尺度为代表，用于预测TM螺旋。我们通过对jannaschi甲烷球菌SecYEG转座子的分子动力学模拟发现，其三维结构已知，转座子在其封闭状态下由一个复杂的氢键网络稳定，该网络必须在信号序列启动的转座子打开过程中进行重组。此外，我们发现这个网络受到大肠杆菌中众所周知的prlA突变的强烈干扰，这种突变会导致蛋白质分泌和螺旋插入的缺陷。了解prla突变缺陷的分子基础将有助于深入了解跨位点介导的MP组装机制。因此，我们建议研究prlA突变对大肠杆菌在MP组装过程中用于选择跨膜螺旋的编码的影响。为了将prlA突变与选择代码联系起来，我们将使用单跨MPs开发大肠杆菌体内TM螺旋疏水量表，以利用沿两个不同途径插入TM螺旋的可能性：SecA翻译后途径或共翻译信号识别颗粒（SRP）途径。这种方法将澄清物理原理和生物学原理之间的关系。我们开发单跨MP系统的第一步产生了意想不到的令人困惑的结果。尽管单跨MPs是所有生物体中最丰富的MPs，但它们从未在大肠杆菌中进行系统研究。初步结果表明存在先前未被识别的MP靶向信号，可能涉及FtsH MP质量控制蛋白酶。这些考虑导致了四个具体目标：(1)建立沿SecA和SRP通路插入单跨MPs的体内生物疏水性尺度。(2)在分子动力学模拟的指导下，利用Aim 1得到的尺度来检验prl突变体对TM螺旋SecYEG选择的影响。(3)为加强MPs的全基因组分析，结合系统的实验研究，对大肠杆菌单跨MPs进行详细的生物信息学分析，对单跨MPs进行表征和分类。(4)表征新的靶向信号和可能涉及FtsH MP质量控制蛋白酶的潜在单跨MP插入途径。