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中文摘要
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描述(由申请人提供):核糖体如何在单一催化装置中使用二十多种化学上不同的氨酰-tRNA底物来合成蛋白质仍然是一个基本的生物学问题。最初的衔接子假说认为aa- tRNA底物特异性完全来自tRNA反密码子与mRNA密码子的相互作用。然而,最近的研究表明,功能的tRNA接头远远超出反密码子也发挥关键作用,在调节aa-tRNA的选择,由于其假定的沉默作用,贡献的氨基酸成分的aa-tRNA底物选择仍然几乎未被探索。尽管如此,翻译机制对氨基酸视而不见的假设与越来越多的非天然氨基酸不一致,这些非天然氨基酸使用错酰化的tRNA很难整合;即使对天然氨基酸的化学结构进行微小的扰动也会显著阻止蛋白质合成。因此,我们假设,与接头假说相反,核糖体不仅对tRNA接头具有特异性,而且对共价连接到tRNA上的氨基酸的结构和静电也具有特异性。在这里,我们建议通过确定翻译循环中的哪些步骤排除wt氨基酸底物的骨架类似物、带电侧链类似物和大侧链类似物来测试这一假设。这些研究的结果应该广泛地影响工程化非天然的aa-tRNA和翻译机制的努力,以扩大可以使用misacylated tRNA掺入的类似物的范围,以及我们对aa-tRNA本身在调节蛋白质合成基础的构象转变中的作用的基本理解。 公共卫生相关性:本研究的长期目标是(1)设计翻译机制,以便在细胞中合成蛋白质时将生物物理探针直接掺入蛋白质中;(2)对核糖体合成蛋白质的机制有基本的了解。正如用于在体外研究生物分子的生物物理方法已经显著影响了我们对生物分子结构和功能的基本理解以及开发用于人类疾病的有效治疗剂的能力一样,通过直接掺入非天然氨基酸荧光团和其他生物物理探针来对活细胞中的蛋白质网络进行成像的能力具有使生物分子结构和功能变得广泛的潜力。对我们理解生物学途径和人类疾病的机制做出了重大贡献。由于核糖体的蛋白质合成是主要的细胞途径,因此对该途径的基本理解显著影响了我们基于其在原核生物和真核生物中干扰该途径的能力来开发抗生素和其他类别的治疗剂的能力。
英文摘要
DESCRIPTION (provided by applicant): How the ribosome can use over twenty chemically distinct aminoacyl-tRNA substrates within a single catalytic apparatus to synthesize proteins remains a fundamental biological question. The original adaptor hypothesis states that aa- tRNA substrate specificity comes entirely from the interaction of the tRNA anticodon with the mRNA codon. Recent studies, however, have revealed that features of the tRNA adaptor well beyond the anticodon also play critical roles in regulating aa-tRNA selection; due to its assumed silent role, the contribution of the amino acid component of the aa-tRNA to substrate selection remains virtually unexplored. Despite this, the hypothesis that the translational machinery is blind to the amino acid is at odds with the growing number of unnatural amino acids that are poorly incorporated using misacylated tRNAs; even subtle perturbations to the chemical structures of the natural amino acids can dramatically arrest protein synthesis. Thus, we hypothesize that, contrary to the adaptor hypothesis, the ribosome is exquisitely specific not only for the tRNA adaptor, but also for the structure and electrostatics of the amino acid covalently attached to the tRNA. Here, we propose to test this hypothesis by determining which step(s) in the translation cycle exclude backbone analogs, charged side-chain analogs, and large side-chain analogs of the wt amino acid substrates. The results of these studies should broadly impact efforts to engineer the unnatural aa-tRNA and the translational machinery to expand the range of analogs that can be incorporated using misacylated tRNAs and our fundamental understanding of the role of the aa-tRNA itself in regulating the conformational transitions that underlie protein synthesis. PUBLIC HEALTH RELEVANCE: The long term goals of this research are (1) to engineer the translational machinery for the incorporation of biophysical probes into proteins directly as they are being synthesized in the cell and (2) to gain a fundamental understanding of the mechanism of protein synthesis by the ribosome. Just as biophysical methods for studying biomolecules in vitro have significantly impacted our fundamental understanding of biomolecule structure and function and ability to develop effective therapeutics for human disease, the ability to image protein networks in living cells by direct incorporation of unnatural amino acid fluorophores and other biophysical probes has the potential to make broad, significant contributions to our understanding of the mechanism of biological pathways and human disease. Because protein synthesis by the ribosome is a major cellular pathway, fundamental understanding of this pathway significantly impacts our ability to develop antibiotics and other classes of therapeutics based on their ability to perturb this pathway both in prokaryotes and eukaryotes.
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General and High-Throughput Small Molecule Screens and Selections for Metabolic Engineering
General and High-Throughput Small Molecule Screens and Selections for Metabolic Engineering
General and High-Throughput Small Molecule Screens and Selections for Metabolic Engineering
General and High-Throughput Small Molecule Screens and Selections for Metabolic Engineering
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