P3–091: Neuroproteomics in Alzheimer's disease: Expression profiling of the brain proteomes and their relation to proteomes of body fluids

作者
Teruyuki Tsuji,Jun Kawamata,Kengo Uemura,Katsuya Okawa,Ippou Hirayoshi,Shun Shimohama
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:2 (3S_Part_13)
标识
DOI:10.1016/j.jalz.2006.05.1358
摘要

Rapidly progressing proteomics techniques have been widely adopted in most areas of biology and medicine. One of the distinct advantages of proteomic analysis, not attainable with RNA expression data, is the ability to fractionate the cell's proteins into various subpopulations. In neurology and neuroscience, many applications have been entertained in neurotoxicology and neurometabolism, and used in the determination of specific proteomic aspects of individual brain areas and body fluids in neurodegeneration to identify biomarkers. Investigation of brain protein groups in neurodegeneration, such as enzymes, cytoskeleton proteins, chaperones, synaptosomal proteins and antioxidant proteins, is in progress as phenotype related proteomics. The concomitant detection of several hundred proteins on a gel provides sufficiently comprehensive data to determine a pathophysiological protein network and its peripheral representatives. The rapid spread of proteomics technology, which principally consists of two–dimensional gel electrophoresis (2–DE) with in–gel protein digestion of protein spots and identification by mass–spectrometry, has provided an explosive amount of results. In this study, quantitative proteome analysis of AD brains was performed using two–dimensional (2–D) gels. For the higher resolution of 2–DE including the detailed analysis of hydrophobic proteins, we sequentially extracted brain protein. The identified proteins thus examined include enzymes, heat shock proteins and cell structure proteins. We also examined body fluids proteomes to determine the same proteins as in brain proteome using two–dimensional difference gel electrophoresis (2D–DIGE). In neuroscience, ‘neuroproteomics’ (proteomics in the central nervous system) is still in its infancy, with a paucity of studies in the context of the brain. There are several other analytical problems which also need to be overcome, and once solved, will allow for a more comprehensive analysis of the individual disease process.

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
刚刚
1秒前
犹犹豫豫的应助被酷酷的寄风采纳,获得10
2秒前
黄橙子完成签到 ,获得积分10
2秒前
xy完成签到,获得积分10
2秒前
2秒前
所所的应助被Liuz采纳,获得10
3秒前
3秒前
3秒前
科研通AI6.2的应助被666采纳,获得10
4秒前
Oyysnow完成签到,获得积分20
4秒前
小蘑菇的应助被LongY采纳,获得10
4秒前
明日秋风发布了新的文献求助20
4秒前
Owen的应助被逢考必过采纳,获得10
5秒前
你说可以发布了新的文献求助10
5秒前
5秒前
阿诺日发布了新的文献求助10
5秒前
6秒前
6秒前
Breathe发布了新的文献求助10
6秒前
心灵美的清完成签到,获得积分20
7秒前
逍遥的应助被Oyysnow采纳,获得10
7秒前
追寻夏槐发布了新的文献求助30
7秒前
8秒前
8秒前
Komezu发布了新的文献求助10
8秒前
今后的应助被默_古月采纳,获得10
9秒前
9秒前
9秒前
9秒前
simey完成签到,获得积分10
9秒前
所所的应助被aaa采纳,获得10
9秒前
子铭发布了新的文献求助10
9秒前
shanhe007发布了新的文献求助10
11秒前
小郭发布了新的文献求助10
12秒前
小小杨发布了新的文献求助10
13秒前
憨先生完成签到,获得积分10
13秒前
懵懂的梦容完成签到 ,获得积分20
13秒前
13秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
CODESSA Version 2.13 for Windows 2000
Agricultural Ecology (Liao Yuncheng & Lin Wenxiong) 1000
Rosenblum, Global Change Biology 800
Berberine regulates the TLR4 signaling pathway to suppress hypoxia-induced proliferation and migration of pulmonary arterial smooth muscle cells 520
Organizational Behavior 510
Derham on the Law of Set Off (德勒姆论抵消法/第五版) 500
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 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7845361
求助须知:如何正确求助?哪些是违规求助? 9365855
关于积分的说明 20647724
捐赠科研通 7441571
什么是DOI,文献DOI怎么找? 3341427
关于科研通互助平台的介绍 2485276
邀请新用户注册赠送积分活动 2363866