权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Mass spectrometry based structural proteomics

基于质谱的结构蛋白质组学

基本信息

批准号：
BB/K004247/1
负责人：
Justin Benesch
金额：
$ 13.37万
依托单位：
University of Oxford
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2013
资助国家：
英国
起止时间：
2013 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FK004247%2F1
关键词：
Mass spectrometry based structural proteomics

项目摘要

One of the major challenges in biological science is to capitalise on the wealth of genomic information arising from DNA sequencing and characterise the structure and dynamics of the encoded proteins. However, while genome sequencing has become very rapid, no methods currently exist which can experimentally determine the molecular details of the gene-products on a comparable timescale. As such the gulf between our understanding of what proteins are present in an organism, how they orchestrate the cellular processes necessary to life, and their malfunction in disease is ever increasing.Mass spectrometry (MS) is a traditional physical chemistry approach that has revolutionised the experimental identification of proteins and quantification of their cellular abundances. The success of such MS-based 'proteomics' is underpinned by the robust automation of both data acquisition and analysis. Far from being limited to identifying proteins, MS has recently emerged as an exciting technique for characterising the molecular details of the cellular machines they assemble into. This novel application of MS has allowed the experimental elucidation of the stoichiometry, architecture, and dynamics of protein assemblies. We propose to bridge the technological gap between these two fields of proteomics and structural biology by developing data analysis software to enable the high-throughput characterisation of protein assemblies by means of MS.

生物科学的主要挑战之一是利用DNA测序产生的丰富的基因组信息，并分析编码蛋白质的结构和动力学。然而，虽然基因组测序已经变得非常迅速，但目前还不存在可以在可比较的时间尺度上通过实验确定基因产物的分子细节的方法。因此，我们对生物体中存在哪些蛋白质、它们如何协调生命所必需的细胞过程以及它们在疾病中的功能障碍的理解之间的鸿沟正在不断增加。质谱（MS）是一种传统的物理化学方法，它彻底改变了蛋白质的实验鉴定和其细胞丰度的定量。这种基于MS的“蛋白质组学”的成功是由数据采集和分析的强大自动化支撑的。MS远不限于识别蛋白质，最近已经成为一种令人兴奋的技术，用于表征它们组装成的细胞机器的分子细节。这种新的应用程序的MS允许实验阐明的化学计量，架构和动力学的蛋白质组装。我们建议通过开发数据分析软件来弥合蛋白质组学和结构生物学这两个领域之间的技术差距，以实现通过MS对蛋白质组装体的高通量表征。

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）

Lipid binding attenuates channel closure of the outer membrane protein OmpF.

DOI：
10.1073/pnas.1721152115
发表时间：
2018-06-26
期刊：
Proceedings of the National Academy of Sciences of the United States of America
影响因子：
11.1
作者：
Liko I;Degiacomi MT;Lee S;Newport TD;Gault J;Reading E;Hopper JTS;Housden NG;White P;Colledge M;Sula A;Wallace BA;Kleanthous C;Stansfeld PJ;Bayley H;Benesch JLP;Allison TM;Robinson CV
通讯作者：
Robinson CV

Structural principles that enable oligomeric small heat-shock protein paralogs to evolve distinct functions.

DOI：
10.1126/science.aam7229
发表时间：
2018-02-23
期刊：
Science (New York, N.Y.)
影响因子：
0
作者：
Hochberg GKA;Shepherd DA;Marklund EG;Santhanagoplan I;Degiacomi MT;Laganowsky A;Allison TM;Basha E;Marty MT;Galpin MR;Struwe WB;Baldwin AJ;Vierling E;Benesch JLP
通讯作者：
Benesch JLP

Native mass spectrometry: towards high-throughput structural proteomics.

DOI：
10.1007/978-1-4939-2230-7_18
发表时间：
2015-01-01
期刊：
Methods in molecular biology (Clifton, N.J.)
影响因子：
0
作者：
Kondrat, Frances D L;Struwe, Weston B;Benesch, Justin L P
通讯作者：
Benesch, Justin L P

A novel mechano-enzymatic cleavage mechanism underlies transthyretin amyloidogenesis.

DOI：
10.15252/emmm.201505357
发表时间：
2015-10
期刊：
EMBO molecular medicine
影响因子：
11.1
作者：
Marcoux J;Mangione PP;Porcari R;Degiacomi MT;Verona G;Taylor GW;Giorgetti S;Raimondi S;Sanglier-Cianférani S;Benesch JL;Cecconi C;Naqvi MM;Gillmore JD;Hawkins PN;Stoppini M;Robinson CV;Pepys MB;Bellotti V
通讯作者：
Bellotti V

HspB1 phosphorylation regulates its intramolecular dynamics and mechanosensitive molecular chaperone interaction with filamin C