Precision control of protein dosage in vivo
体内蛋白质剂量的精确控制
基本信息
- 批准号:MC_PC_21040
- 负责人:
- 金额:$ 127.36万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2022
- 资助国家:英国
- 起止时间:2022 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The ability to control the dose of specific gene products within tissues underpins much of modern biomedical science, ranging from fundamental studies of biological pathways and disease mechanisms to gene and cell therapies, vaccines and pharmaceuticals. Experiments using human tissues are complicated by ethical and technical concerns, and hence rodent models have been used to advance our understanding of normal and abnormal tissue function, and for testing new therapeutic approaches. Although mice remain at the forefront of preclinical studies, new innovations in mouse genetics are needed to advance our understanding of human disease mechanisms, to identify new therapeutic targets, and to more accurately model therapeutic interventions. Proteins carry out most biological functions; however, protein function is typically studied by introducing mutations into DNA. This has several drawbacks. It is not possible to study the immediate consequences of protein loss by mutating DNA, because it can take up to several days for the pre-existing pool of non-mutated gene-products to expire. Current approaches are not optimal to study the impact of reduced protein dose, which underlies many human disease states, or to allow protein function to be removed and then reinstated to model therapeutic intervention. More direct ways to rapidly change protein dose in living mice, in a manner that can be toggled on and off, could have a transformative impact on how mice are used for preclinical modelling.This cluster will combine recent technological developments in the engineering of genomes, proteins and small molecules to address this unmet need. Our approach will use existing genetic engineering approaches to add short 'tags', termed 'degrons', onto proteins of interest. Degron-tagged proteins can then be targeted by small drug-like molecules that can enter cells and hijack their natural protein destruction pathways to facilitate rapid, tuneable and reversible degradation. Degron tags are already widely and successfully used in cultured mammalian cells, where they are providing unprecedented insight into how cells work. However, research using degrons in mouse models remains in its infancy and investment is urgently needed to set standards for their use. For example, several different degrons have been developed in cells, yet it is unclear which will work best in different mouse tissues and disease models, or to model particular therapeutic interventions. Different small molecules are available to degrade proteins with each degron, but how these molecules will behave in the more complex in vivo environment is unclear. We believe that the MRC National Mouse Genetics Network is the ideal forum to translate degron technologies into mouse models of human disease. Our cluster brings together experts in mouse transgenics, protein degradation, structural biology, medicinal chemistry and pharmacology, and we have already shown that our approach works in two pilot projects. As we develop the core technology further, we will use the network to team up with national leaders in disease modelling under the auspices of the Mary Lyon Centre to improve the way that human disease is modelled in mice. Together, we aim to set standards for the use of degron technologies in living mammals and to reach out to industry and other national stakeholders who stand to benefit from their use.
控制组织内特定基因产物剂量的能力是现代生物医学的基础,从生物途径和疾病机制的基础研究到基因和细胞疗法、疫苗和药物。使用人体组织的实验由于伦理和技术方面的考虑而变得复杂,因此啮齿动物模型已被用于提高我们对正常和异常组织功能的理解,并用于测试新的治疗方法。虽然小鼠仍然处于临床前研究的前沿,但需要在小鼠遗传学方面进行新的创新,以促进我们对人类疾病机制的理解,确定新的治疗靶点,并更准确地模拟治疗干预措施。蛋白质执行大多数生物功能;然而,蛋白质的功能通常是通过在DNA中引入突变来研究的。这有几个缺点。研究DNA突变导致蛋白质损失的直接后果是不可能的,因为预先存在的非突变基因产物库可能需要几天的时间才能失效。目前的方法对于研究蛋白质剂量减少的影响(这是许多人类疾病状态的基础)或允许蛋白质功能被移除然后恢复以模拟治疗干预并不是最佳的。更直接的方法,以一种可以开关的方式快速改变活体小鼠的蛋白质剂量,可能会对如何将小鼠用于临床前建模产生变革性影响。该集群将结合基因组、蛋白质和小分子工程方面的最新技术发展,以解决这一未满足的需求。我们的方法将使用现有的基因工程方法在感兴趣的蛋白质上添加称为“degrons”的短“标签”。degron标记的蛋白质可以被类似药物的小分子靶向,这些小分子可以进入细胞并劫持它们的天然蛋白质破坏途径,以促进快速、可调和可逆的降解。Degron标签已经广泛并成功地应用于培养的哺乳动物细胞中,它们为细胞如何工作提供了前所未有的见解。然而,在小鼠模型中使用degron的研究仍处于起步阶段,迫切需要投资来制定其使用标准。例如,已经在细胞中发展出几种不同的degrn,但尚不清楚哪一种在不同的小鼠组织和疾病模型中效果最好,或为特定的治疗干预提供模型。不同的小分子可以在每个度降解蛋白质,但这些分子在更复杂的体内环境中如何表现尚不清楚。我们相信,MRC国家小鼠遗传学网络是将degron技术转化为人类疾病小鼠模型的理想论坛。我们的团队汇集了老鼠转基因、蛋白质降解、结构生物学、药物化学和药理学方面的专家,我们已经在两个试点项目中证明了我们的方法是有效的。随着我们进一步开发核心技术,我们将利用该网络在玛丽里昂中心的支持下与疾病建模方面的国家领导者合作,改进在小鼠中模拟人类疾病的方法。我们的目标是共同制定在活体哺乳动物中使用降解技术的标准,并与能够从使用降解技术中受益的行业和其他国家利益攸关方接触。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Andrew Wood其他文献
Extremely Low-Frequency (ELF) Guidelines
- DOI:
10.1002/9781119284673.ch18 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Andrew Wood - 通讯作者:
Andrew Wood
A brief report. Mindfulness-based stress reduction (MBSR) intervention: Investigating the effects with recreational runners
一个简短的报告。
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Simone Kregar;Andrew Wood;M. Slater - 通讯作者:
M. Slater
Procédé d'identification de produits de recombinaison vdj
重组 vdj 产品识别程序
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Andrew Wood;Daniel J. Bolland;Louise S. Matheson;Anne E. Corcoran - 通讯作者:
Anne E. Corcoran
Religious Belief vs. Religious Practice. What is More Beneficial to Elite Athletes? An Investigation of Religious/Spiritual Belief, and its Relationship to Challenge & Threat Appraisal
宗教信仰与宗教实践。
- DOI:
10.14486/intjscs771 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Peter Jackson;Andrew Wood - 通讯作者:
Andrew Wood
Low Data Dialogue Act Classification for Virtual Agents during Debugging
调试期间虚拟代理的低数据对话行为分类
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Andrew Wood - 通讯作者:
Andrew Wood
Andrew Wood的其他文献
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{{ truncateString('Andrew Wood', 18)}}的其他基金
Social relations and everyday life in England, 1500-1640
英国的社会关系和日常生活,1500-1640 年
- 批准号:
AH/P014941/1 - 财政年份:2017
- 资助金额:
$ 127.36万 - 项目类别:
Fellowship
Conference: 2016 Summer Institute in Economic Geography
会议:2016年经济地理学暑期学院
- 批准号:
1560820 - 财政年份:2016
- 资助金额:
$ 127.36万 - 项目类别:
Standard Grant
Statistical Analysis of Manifold-Valued Data
多值数据的统计分析
- 批准号:
EP/K022547/1 - 财政年份:2013
- 资助金额:
$ 127.36万 - 项目类别:
Research Grant
Stochastic dynamical modelling for prokaryotic gene regulatory networks
原核基因调控网络的随机动力学模型
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BB/F003781/1 - 财政年份:2007
- 资助金额:
$ 127.36万 - 项目类别:
Research Grant
Collaborative Research: Mapping Globalization: Geographies of Knowledge in the Oil Exploration and Production Industry
合作研究:绘制全球化地图:石油勘探和生产行业的知识地理
- 批准号:
0705358 - 财政年份:2006
- 资助金额:
$ 127.36万 - 项目类别:
Continuing Grant
Collaborative Research: Mapping Globalization: Geographies of Knowledge in the Oil Exploration and Production Industry
合作研究:绘制全球化地图:石油勘探和生产行业的知识地理
- 批准号:
0354499 - 财政年份:2004
- 资助金额:
$ 127.36万 - 项目类别:
Continuing Grant
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