Biology/Disease-Driven Initiative on Protein-Aggregation Diseases of the Human Proteome Project: Goals and Progress to Date

蛋白质组 人类蛋白质组计划 计算生物学 生物 疾病 蛋白质组学 数据科学 生物技术 生物信息学 计算机科学 遗传学 医学 基因 病理
作者
Paul J. Boersema,André Melnik,Bouke P. C. Hazenberg,Melinda Rezeli,György Marko‐Varga,Junichi Kamiie,Erik Portelius,Kaj Blennow,Roman A. Zubarev,Magdalini Polymenidou,Paola Picotti
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:17 (12): 4072-4084 被引量:6
标识
DOI:10.1021/acs.jproteome.8b00401
摘要

The Biology/Disease-driven (B/D) working groups of the Human Proteome Project are alliances of research groups aimed at developing or improving proteomic tools to support specific biological or disease-related research areas. Here, we describe the activities and progress to date of the B/D working group focused on protein aggregation diseases (PADs). PADs are characterized by the intra- or extracellular accumulation of aggregated proteins and include devastating diseases such as Parkinson's and Alzheimer's disease and systemic amyloidosis. The PAD B/D working group aims for the development of proteomic assays for the quantification of aggregation-prone proteins involved in PADs to support basic and clinical research on PADs. Because the proteins in PADs undergo aberrant conformational changes, a goal is to quantitatively resolve altered protein structures and aggregation states in complex biological specimens. We have developed protein-extraction protocols and a set of mass spectrometric (MS) methods that enable the detection and quantification of proteins involved in the systemic and localized amyloidosis and the probing of aberrant protein conformational transitions in cell and tissue extracts. In several studies, we have demonstrated the potential of MS-based proteomics approaches for specific and sensitive clinical diagnoses and for the subtyping of PADs. The developed methods have been detailed in both protocol papers and manuscripts describing applications to facilitate implementation by nonspecialized laboratories, and assay coordinates are shared through public repositories and databases. Clinicians actively involved in the PAD working group support the transfer to clinical practice of the developed methods, such as assays to quantify specific disease-related proteins and their fragments in biofluids and multiplexed MS-based methods for the diagnosis and typing of systemic amyloidosis. We believe that the increasing availability of tools to precisely measure proteins involved in PADs will positively impact research on the molecular bases of these diseases and support early disease diagnosis and a more-confident subtyping.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
乐乐的应助被浪迹采纳,获得10
刚刚
顺鑫发布了新的文献求助10
1秒前
科研通AI6.2的应助被糟糕的沂采纳,获得10
2秒前
Yan完成签到,获得积分10
2秒前
xy完成签到 ,获得积分10
3秒前
3秒前
3秒前
4秒前
5秒前
小飞飞完成签到,获得积分10
6秒前
暖暖完成签到,获得积分10
6秒前
Lucas的应助被liu1900ab采纳,获得10
6秒前
saw完成签到,获得积分10
6秒前
7秒前
7秒前
c程序语言发布了新的文献求助10
9秒前
hh发布了新的文献求助80
9秒前
殿书发布了新的文献求助10
10秒前
songsong完成签到 ,获得积分10
11秒前
秀秀秀发布了新的文献求助10
12秒前
xiaolizi发布了新的文献求助10
12秒前
北冰洋煮咖啡完成签到,获得积分10
13秒前
ly发布了新的文献求助10
13秒前
科研通AI6.4的应助被master采纳,获得10
13秒前
香蕉觅云的应助被hkh采纳,获得10
14秒前
17秒前
18秒前
李健的应助被刻苦珊珊采纳,获得10
18秒前
18秒前
英姑的应助被ray采纳,获得30
21秒前
21秒前
讨厌夏天发布了新的文献求助20
21秒前
21秒前
24秒前
菥1016完成签到,获得积分10
24秒前
man发布了新的文献求助10
24秒前
CodeCraft的应助被Awen采纳,获得10
24秒前
听雨白陌发布了新的文献求助10
25秒前
丘比特的应助被llll采纳,获得10
25秒前
26秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Student's Guide to Social Neuroscience 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7811081
求助须知:如何正确求助?哪些是违规求助? 9342785
关于积分的说明 20514212
捐赠科研通 7403993
什么是DOI,文献DOI怎么找? 3329655
关于科研通互助平台的介绍 2476408
邀请新用户注册赠送积分活动 2348584