A versatile mass spectrometry platform for quantitative proteomics underpinning biomedical research at The University of Sheffield.

用于定量蛋白质组学的多功能质谱平台，支撑谢菲尔德大学的生物医学研究。

• 批准号: MR/X012220/1
• 负责人: Mark Collins
• 金额: $ 83.09万
• 依托单位: University of Sheffield
• 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%2FX012220%2F1
• 关键词: versatile; mass; spectrometry; platform; quantitative

Proteins and metabolites best represent the state of a cell or organism at a given moment in time. The total collection of these proteins and metabolites (proteomes and metabolomes) is, therefore, a very informative readout of biology or an individual's health. Analysing proteins and metabolites is challenging due to the many different types and diverse characteristics. However, an analytical approach called mass spectrometry is well suited to both the identification and, importantly, quantification of a vast range of these biological molecules. We propose installing a versatile mass spectrometry platform in our mass spectrometry research facility to provide state-of-the-art proteome and metabolome analysis for researchers across the university. This instrument will allow us to increase the number of samples we can analyse and compare, perform a more detailed analysis of samples that are challenging with existing technology and permit precise measurement of specific sets of proteins and metabolites in a range of samples.Researchers at The University of Sheffield will use this technology to understand the molecular processes underlying antimicrobial resistance, neurodegeneration and cancer and to identify molecular changes in patient samples to develop and test novel drugs to treat a range of diseases.

蛋白质和代谢物最能代表细胞或生物体在给定时刻的状态。因此，这些蛋白质和代谢物（蛋白质组和代谢物组）的总集合是生物学或个人健康的非常翔实的读数。分析蛋白质和代谢物是具有挑战性的，由于许多不同的类型和不同的特性。然而，一种被称为质谱的分析方法非常适合于鉴定，重要的是，量化大量的这些生物分子。我们建议在我们的质谱研究设施中安装一个多功能的质谱平台，为整个大学的研究人员提供最先进的蛋白质组和代谢组分析。该仪器将使我们能够增加我们可以分析和比较的样本数量，对现有技术具有挑战性的样本进行更详细的分析，并允许精确测量一系列样本中的特定蛋白质和代谢物。谢菲尔德大学的研究人员将使用该技术来了解抗菌素耐药性的分子过程，该研究旨在研究神经变性和癌症，并确定患者样本中的分子变化，以开发和测试治疗一系列疾病的新药。

项目成果

The extracellular matrix supports breast cancer cell growth under amino acid starvation by promoting tyrosine catabolism.

• DOI: 10.1371/journal.pbio.3002406
• 发表时间: 2024-01
• 期刊: PLoS biology
• 影响因子: 9.8