Automated PEAQ MicroCal ITC

自动化 PEAQ MicroCal ITC

• 批准号: MR/X012182/1
• 负责人: Stephen McLaughlin
• 金额: $ 35.31万
• 依托单位: MRC Laboratory of Molecular Biology
• 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: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FX012182%2F1
• 关键词: Automated; PEAQ; MicroCal; ITC

In the body many jobs are carried out by proteins coming together in teams for specific purposes like repairing damage to DNA or controlling how cells divide. Understanding how these teams are assembled at the molecular level is fundamental to understanding how our cells work and what goes wrong in disease. One way we can do this is to probe how strongly proteins bind to each other or to other biomolecules such as DNA. We can ask if these interactions are changed when we use proteins with mutations. A very simple way of measuring the extent of interaction between two proteins is to measure the heat given off or consumed when they come together. This is called calorimetry. As the change in heat is very small, in range of thousandths of a calorie, we use a specialised instrument called a microscale-calorimeter. It can tell us not only how strongly the proteins bind but also whether they join together in pairs or other combinations.

在体内，许多工作是由蛋白质为了特定的目的而聚集在一起完成的，比如修复DNA损伤或控制细胞如何分裂。了解这些团队在分子水平上是如何组装的，对于了解我们的细胞如何工作以及疾病中出现了什么问题至关重要。我们可以做到这一点的一种方法是探测蛋白质相互结合或与其他生物分子（如DNA）结合的强度。我们可以问，当我们使用突变的蛋白质时，这些相互作用是否发生了变化。测量两种蛋白质之间相互作用程度的一种非常简单的方法是测量它们聚集在一起时发出或消耗的热量。这叫做量热法。由于热量的变化非常小，在千分之一卡路里的范围内，我们使用一种称为微量热量计的专门仪器。它不仅可以告诉我们蛋白质结合的强度，还可以告诉我们它们是否成对或以其他组合方式结合在一起。

项目成果

GluD1 binds GABA and controls inhibitory plasticity

GluD1 结合 GABA 并控制抑制可塑性

• DOI: 10.1126/science.adf3406
• 发表时间: 2023
• 期刊: Science
• 影响因子: 56.9
• 作者: Piot L

Crystal structure and biochemical activity of the macrodomain from rubella virus p150

• DOI: 10.1128/jvi.01777-23
• 发表时间: 2024-01-30
• 期刊: JOURNAL OF VIROLOGY
• 影响因子: 5.4
• 作者: Stoll，Guido A.;Nikolopoulos，Nikos;Modis，Yorgo
• 通讯作者: Modis，Yorgo

Structure of the human outer kinetochore KMN network complex

• DOI: 10.1038/s41594-024-01249-y
• 发表时间: 2024-03-08
• 期刊: NATURE STRUCTURAL & MOLECULAR BIOLOGY
• 影响因子: 16.8
• 作者: Yatskevich，Stanislau;Yang，Jing;Barford，David
• 通讯作者: Barford，David