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Global quantification of the yeast proteome

酵母蛋白质组的全局定量

基本信息

批准号：
BB/G009058/1
负责人：
Simon Hubbard
金额：
$ 304.01万
依托单位：
University of Manchester
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2009
资助国家：
英国
起止时间：
2009 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FG009058%2F1
关键词：
Global quantification yeast proteome

项目摘要

An inventory of the proteins in a cell. A traditional approach to understanding the living cell is to reduce cell complexity to individual parts . We now recognize that this is no longer enough; we need to take a global view of the cell and study it as an integrated system. This 'systems level' approach requires new technologies, and has been led by the ability to measure all of the messenger RNA molecules, the working copies of the genetic blueprint, in a single experiment. But, these mRNA molecules are intermediaries for the true cellular machines, the proteins, and arguably we ought to be studying the latter. However, for many reasons there are no equivalent approaches for large scale quantitative measurement of all proteins in a cell. Yet, if we are to understand the cell as a complex, dynamic system (protein levels go up and down), as well as the complicated interplay between them, we need to have an 'inventory of parts'. We have devised a new technology that is able to measure, very accurately, the number of molecules of each protein and we wish to take on the challenge of building a protein inventory for the best studied cell, that of the baker's yeast. To supplement these data, we also know how to measure how rapidly the parts (proteins) of the cell are made and recycled. This will be the first inventory that has been built that leaves the yeast proteins unaltered whilst being measured and will be of great value to the biological community. To do this we need to roll this technique out on a grand scale to attempt to quantify over 4000 proteins, requiring a long-term project with expertise in yeast biology, protein chemistry, mass spectrometry and bioinformatics. The protein parts are mostly assembled into machines that do the work of the cell. By understanding how such complex machinery is made, we will begin to understand how the cell balances flexibility of response (in time, and in terms of types of machine) with quality control, manufacturing principles and energy costs. Once generated, we will make all our data available to the biological community both from our own website, and also international repositories.

细胞中蛋白质的清单。理解活细胞的传统方法是将细胞复杂性简化为单个部分。我们现在认识到，这已经不够了;我们需要从全局的角度来看待细胞，并将其作为一个综合系统来研究。这种“系统水平”的方法需要新的技术，并且在一个实验中测量所有信使RNA分子（遗传蓝图的工作副本）的能力已经领先。但是，这些mRNA分子是真正的细胞机器蛋白质的中介，可以说我们应该研究后者。然而，由于许多原因，对于细胞中所有蛋白质的大规模定量测量，没有等效的方法。然而，如果我们要理解细胞是一个复杂的动态系统（蛋白质水平上升和下降），以及它们之间复杂的相互作用，我们需要有一个“部件清单”。我们设计了一种新技术，能够非常精确地测量每种蛋白质的分子数量，我们希望接受挑战，为研究得最好的细胞，即面包酵母，建立一个蛋白质库存。为了补充这些数据，我们还知道如何测量细胞部分（蛋白质）的制造和回收速度。这将是已经建立的第一个库存，在测量时保持酵母蛋白质不变，对生物界具有巨大价值。要做到这一点，我们需要大规模推广这项技术，试图量化超过4000种蛋白质，这需要一个长期的项目，需要酵母生物学，蛋白质化学，质谱和生物信息学方面的专业知识。蛋白质的大部分部分被组装成完成细胞工作的机器。通过了解这种复杂的机器是如何制造的，我们将开始了解细胞如何平衡响应的灵活性（在时间上，以及机器类型方面）与质量控制，制造原理和能源成本。一旦生成，我们将从我们自己的网站和国际知识库向生物界提供我们的所有数据。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Investigating protein isoforms via proteomics: a feasibility study.

DOI：
10.1002/pmic.200900445
发表时间：
2010-03
期刊：
PROTEOMICS
影响因子：
3.4
作者：
Blakeley, Paul;Siepen, Jennifer A.;Lawless, Craig;Hubbard, Simon J.
通讯作者：
Hubbard, Simon J.

Quantitative analysis of chaperone network throughput in budding yeast.

DOI：
10.1002/pmic.201200412
发表时间：
2013-04
期刊：
PROTEOMICS
影响因子：
3.4
作者：
Brownridge, Philip;Lawless, Craig;Payapilly, Aishwarya B.;Lanthaler, Karin;Holman, Stephen W.;Harman, Victoria M.;Grant, Christopher M.;Beynon, Robert J.;Hubbard, Simon J.
通讯作者：
Hubbard, Simon J.