课题基金 / 基金详情

Optimal cell factories for membrane protein production

Optimal cell factories for membrane protein production
用于膜蛋白生产的最佳细胞工厂
批准号:
BB/Y007603/1
负责人:
Alexander Darlington
金额:
$186.27万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

项目摘要

项目成果

Alexander Darlington的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
SOCIETAL IMPORTANCE. Membrane proteins are essential for life, medicine and industrial biotechnology and yet remain understudied due to their (1) low abundance and (2) physical properties which makes isolation difficult. However, 20-30% of all proteins are membrane proteins with biological functions underpinning signal transduction, nutrient import/export, and cell-to-cell communication. Membrane proteins are potent drug and vaccine targets. Currently, the top ten selling medicines worldwide, and in total US$ 180 billion worth of drug sales, target membrane proteins. Multiple vaccines, including those for COVID-19, Hepatitis B and pertussis, target virus surface or bacterial membrane proteins. Non-pharmaceutical markets include biopesticides (worth US$ 3 billion) and antifungals (worth US$ 19 billion). Artificial expression of membrane proteins is frequently used in pharmacology to identify drug molecules, which may inhibit or enhance protein function. However, engineering high levels of functional membrane protein production remains challenging, limiting the efficiency of drug screening, reducing identification of new drugs and limiting transformative potential. Production of membrane proteins enables progress in promoting human health and provides bio-inspired solutions to pressing societal challenges caused by climate change; however, obtaining high yields of functional protein constitutes a fundamental roadblock to progress which this proposal addresses.SCIENTIFIC CHALLENGE. Despite the importance of membrane proteins in these key industries, their production remains challenging with production of each protein requiring trial and error methods - in some cases requiring screening of 100s of different combinations of experimental factors. This is in part due to the complex process of membrane protein production which results in multiple stresses on cellular production platforms (significantly reducing cell growth and bioprocess productivity). The cell membrane's lipid composition significantly impacts protein function - potentially rendering any proteins produced non-functional due to lack of lipid factors. Therefore, scientists must test multiple different cell types in an expensive and laborious process. This bespoke platform development limits production capacity of functional membrane proteins and, in doing so limits drug screening and development.PROJECT OUTLINE. We address these challenges by first carrying out a detailed systematic characterization of the cellular processes which limit membrane protein production. This will be used to develop a predictive computer aided design tool to enable designs which facilitate both production and cell growth. We will use these tools to design and implement autonomous feedback control strategies that enable living cells to self-regulate protein production in response to stress and therefore maximise production and yield. These systems have the potential to enable increased yields in a 'hands off manner'. We will engineer new cellular regulatory systems capable of tuning the cell's lipid production rate so that the cell membranes' composition and physical properties can be tuned to meet those needed for optimal membrane protein function. We will develop computer aided design tools which enable the prediction of optimal membrane composition. We will demonstrate the function of our new cellular systems to produce high value biomedical membrane proteins and demonstrate their production performance at scale in industrially relevant conditions.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Parameter identification with optimal experimental design for engineering biology
  • 批准号:
    EP/Y00342X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $20.86万
  • 财政年份:
    2024
  • 负责人:
    Alexander Darlington
  • 依托单位:
国内基金
海外基金
全细胞疫苗Cell@MnO2的乳腺癌术后免疫响应监测与放射免疫治疗研究
  • 批准号:
    QN25H220002
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    顾媛
  • 依托单位:
染色体外环状DNA以cell-in-cell途径促进基因横向传递和扩增的研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    15.0万元
  • 批准年份:
    2024
  • 负责人:
    王锐智
  • 依托单位:
GMFG/F-actin/cell adhesion 轴驱动 EHT 在造 血干细胞生成中的作用及机制研究
  • 批准号:
    TGY24H080011
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    李鸿鹄
  • 依托单位:
糖尿病ED中成纤维细胞衰老调控内皮细胞线粒体稳态失衡的机制研究
  • 批准号:
    82371634
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    赵福军
  • 依托单位: