Engineering & Evolution of Proteins that Target Specific DNA Sites

工程

• 批准号: RGPIN-2014-05632
• 负责人: Shin, Jumi
• 金额: $ 2.55万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=567290
• 关键词: Engineering; Evolution; Proteins; Target; Specific

My program focuses on how nature uses proteins to recognize specific DNA sequences. We adopt a protein design and engineering approach to understand how the protein scaffold can be used to target a specific DNA site with high affinity and specificity. Protein engineering is a growing field that has increasingly attracted researchers, and new multidisciplinary tools and methods are being developed that enable our design approach. Such tools can come from research far afield, for example, computational methods developed by computer scientists and mathematicians. We have developed minimalist hybrid proteins (MHP) as a platform to study how larger native proteins recognize specific DNA sequences, especially sites of 6-12 base pairs in length. Our MHPs are small (25-75 amino acids), and they mimic very well the DNA-binding function of the native transcription factors that they are based on, for they bind their targets with high DNA sequence specificity and binding affinity. Our lab also develops new tools that facilitate making unnatural proteins with desired properties. We target the E-box DNA site (5'-CACGTG), which is targeted by proteins Myc and Max and is involved in >50% of all cancers. The E-box network is ideal for us to tackle, as it is a well-studied system with abundant literature. We design specific mutations to generate new proteins that bind a desired DNA target. Mutations can be rationally designed, and we also use nonrational methods including directed evolution in the yeast one-hybrid (Y1H) and bacterial one-hybrid (B1H) systems, and the new phage-assisted continuous evolution (PACE) system we just started to implement in the lab. For in vivo detection of protein:DNA complexation, we have used the classic Y1H, which is one of the earliest systems developed for detecting a protein:DNA interaction in live cells. Because yeast are highly prone to giving false signals, we sought to develop a simpler in vivo tool for assaying protein:DNA interactions. We therefore developed the FRep (FRET Reporter) assay that is performed in E. coli. Preliminary FRep data (a screen of just 15 mutants from a much larger library) has allowed us to isolate a protein showing strong and specific binding to E-box. FRep, B1H and PACE are bacterial and are more straightforward to use than yeast. This proposal is therefore focused on two methodological aspects of my program: 1) biophysically understanding FRep, our method for detection of protein:DNA interactions, and 2) developing the B1H and particularly PACE evolution systems as methods that will enable us to more efficiently and successfuly generate MHPs with desired properties. Our MHP approach may someday impact the field of drug design. For example, organic synthetic chemists have been targeting the Myc/Max transcription factor by generating small-molecule inhibitors of the Myc/Max protein/protein interaction. However, no useful small molecule has been developed despite over two decades of work. Our research may complement these efforts by providing new strategies for drug development. We also collaborate with Linda Penn, a cancer researcher at Princess Margaret Hospital, and Warren Chan, a nano-engineer in UofT Engineering. All of my trainees are involved in this diverse collaboration, and they come from diverse background in chemistry and biology. They are exposed to a broad range of research skills and languages including molecular biology, health-related research, chemistry, bioengineering, and nanotechnology. My trainees learn to think in an interdisciplinary manner and to communicate in various scientific and engineering disciplines. The diversity and synergistic value of this collaboration is a great strength of the training my program provides.

我的项目重点是自然界如何利用蛋白质识别特定的DNA序列。我们采用蛋白质设计和工程方法来了解蛋白质支架如何以高亲和力和特异性靶向特定的DNA位点。蛋白质工程是一个不断发展的领域，越来越多地吸引了研究人员，新的多学科工具和方法正在开发，使我们的设计方法。此类工具可能来自遥远的研究领域，例如计算机科学家和数学家开发的计算方法。我们已经开发了极简杂交蛋白（MHP）作为一个平台来研究更大的天然蛋白质如何识别特定的DNA序列，特别是长度为6-12个碱基对的位点。我们的MHP很小（25-75个氨基酸），并且它们很好地模拟了它们所基于的天然转录因子的DNA结合功能，因为它们以高DNA序列特异性和结合亲和力结合它们的靶标。我们的实验室还开发了新的工具，有助于制造具有所需特性的非天然蛋白质。我们靶向E-box DNA位点（5 '-CACGTG），该位点被蛋白Myc和Max靶向，并且参与>50%的所有癌症。E-box网络是我们解决的理想选择，因为它是一个研究得很好的系统，有丰富的文献。我们设计特定的突变来产生新的蛋白质，结合所需的DNA靶标。突变可以被合理地设计，我们也使用非理性的方法，包括酵母单杂交（Y1 H）和细菌单杂交（B1 H）系统中的定向进化，以及我们刚刚开始在实验室实施的新的噬菌体辅助连续进化（PACE）系统。对于蛋白质：DNA复合的体内检测，我们使用了经典的Y1 H，这是最早开发的用于检测活细胞中蛋白质：DNA相互作用的系统之一。由于酵母非常容易发出错误信号，我们试图开发一种更简单的体内工具来测定蛋白质：DNA相互作用。因此，我们开发了在大肠杆菌中进行的FRep（FRET报告基因）测定。杆菌初步的FRep数据（从一个更大的文库中筛选出15个突变体）使我们能够分离出一种与E-box具有强特异性结合的蛋白质。FRep，B1 H和PACE是细菌，比酵母更容易使用。因此，这项建议集中在我的计划的两个方法学方面：1）从生物学角度理解FRep，我们用于检测蛋白质：DNA相互作用的方法，以及2）开发B1 H，特别是PACE进化系统作为使我们能够更有效和成功地产生具有所需特性的MHP的方法。我们的MHP方法可能有一天会影响药物设计领域。例如，有机合成化学家已经通过产生Myc/Max蛋白质/蛋白质相互作用的小分子抑制剂来靶向Myc/Max转录因子。然而，尽管经过二十多年的工作，仍然没有开发出有用的小分子。我们的研究可以通过提供药物开发的新策略来补充这些努力。我们还与玛格丽特公主医院的癌症研究员琳达佩恩和UofT工程的纳米工程师沃伦陈合作。我所有的学员都参与了这种多样化的合作，他们来自不同的化学和生物学背景。他们接触到广泛的研究技能和语言，包括分子生物学，健康相关的研究，化学，生物工程和纳米技术。我的学员学习以跨学科的方式思考，并在各种科学和工程学科中进行沟通。这种合作的多样性和协同价值是我的计划提供的培训的巨大优势。