Making drugs: an integrated approach to improve yield of recombinant proteins in microbial systems

制造药物：提高微生物系统中重组蛋白产量的综合方法

• 批准号: 2607287
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2607287
• 关键词: Making; drugs; integrated; approach; improve

The student will use a broad range of molecular, biochemical and computational techniques to understand the fundamental cellular responses of E. coli to IB formation. In our matched sets of closely related IB and non-IB producing proteins, the student will use molecular biology tools to create hybrid proteins to understand the relationship between protein structure and IB formation and will undertake industry-like fermentations at FDBK Billingham during the project. Matched transcriptomics data is available which will be complemented with proteomics data. Importantly the student will use and help develop our new data integration tool called MORF for the omics data entry and analysis (https://morf-db.org/) and ideally will have some coding experience in Python. The student will then generate hypotheses about host factors involved in IB formation and investigate their effect using our model proteins and other known IB-forming proteins available through FDBK. The student will work primarily in York but will spend time at Teesside and will also do placements at FDBK as an integral part of this academic/industry partnership. Further training is also provided by IBioIC.

该学生将使用广泛的分子、生化和计算技术来了解大肠杆菌对IB形成的基本细胞反应。在我们匹配的密切相关的IB和非IB生产蛋白质中，学生将使用分子生物学工具创建杂交蛋白质，以了解蛋白质结构和IB形成之间的关系，并在项目期间在FDBK Billingham进行工业发酵。匹配的转录组学数据将与蛋白质组学数据相辅相成。重要的是，学生将使用并帮助开发我们新的数据集成工具MORF，用于组学数据输入和分析（https://morf-db.org/），最好有一些Python编码经验。然后，学生将产生关于参与IB形成的宿主因素的假设，并使用我们的模型蛋白和通过FDBK可获得的其他已知IB形成蛋白来研究它们的影响。该学生将主要在约克郡工作，但将在蒂赛德度过一段时间，并将在FDBK实习，作为这一学术/行业合作关系的组成部分。IBioIC还提供进一步的培训。