已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Comprehensive Peptidome Analysis of Mouse Livers by Size Exclusion Chromatography Prefractionation and NanoLC−MS/MS Identification

化学 色谱法 生物标志物发现 大小排阻色谱法 蛋白质组学 胰蛋白酶 质谱法 液相色谱-质谱法 蛋白质组 串联质谱法 生物化学 基因
作者
Lianghai Hu,Xin Li,Xinning Jiang,Houjiang Zhou,Xiaogang Jiang,Liang Kong,Mingliang Ye,Hanfa Zou
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:6 (2): 801-808 被引量:46
标识
DOI:10.1021/pr060469e
摘要

Peptidome analysis has received increasing attention in recent years. Cancer diagnosis by serum peptidome has also been reported by peptides' profiling for discovery of peptide biomarkers. Tissue, which may have a higher biomarker concentration than blood, has not been investigated extensively by means of peptidome analysis. Here, a method for the peptidome analysis of mouse liver was developed by the combination of size exclusion chromatography (SEC) prefractionation with nano-liquid chromatography-tamdem mass spectrometry (nanoLC-MS/MS) analysis. The extracted peptides from mouse liver were separated according to their molecular weight using a size exclusion column. MALDI-TOF MS was used to characterize the molecular weight distribution of the peptides in fractions eluted from the SEC column. The low molecular weight (LMW) (MW < 3000 Da) peptides in the collected fractions were directly analyzed by LC-MS/MS which resulted in the identification of 1181 unique peptides (from 371 proteins). The high molecular weight (HMW) (MW > 3000 Da) peptides in the early two fractions from the SEC column were first digested with trypsin, and the resulted digests were then analyzed by LC-MS/MS, which led to the identification of 123 and 127 progenitor proteins of the HMW peptides in fractions 1 and 2, respectively. Analysis of the peptides' cleavage sites showed that the peptides are cleaved in regulation, which may reflect the protease activity and distribution in body, and also represent the biological state of the tissue and provide a fresh source for biomarker discovery.
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
吴映波完成签到,获得积分10
刚刚
1秒前
paradox完成签到 ,获得积分10
2秒前
干净的醉蝶完成签到,获得积分10
3秒前
3秒前
AAA建材王哥完成签到,获得积分10
3秒前
可爱的函函应助Ayellow采纳,获得10
4秒前
米酥完成签到,获得积分10
4秒前
友好碧完成签到 ,获得积分10
4秒前
jianinghehe完成签到,获得积分10
4秒前
wise111发布了新的文献求助10
5秒前
5秒前
一只咸鱼完成签到 ,获得积分10
5秒前
lqq完成签到 ,获得积分10
6秒前
wlei发布了新的文献求助10
6秒前
9秒前
9秒前
9秒前
9秒前
wise111发布了新的文献求助10
11秒前
小小牛马完成签到,获得积分10
11秒前
14秒前
JLC完成签到 ,获得积分10
14秒前
15秒前
16秒前
charih完成签到 ,获得积分10
16秒前
高高的大白菜真实的钥匙完成签到 ,获得积分10
18秒前
芝士完成签到,获得积分10
18秒前
123完成签到 ,获得积分10
19秒前
19秒前
19秒前
无花果应助坚强豪英采纳,获得10
20秒前
20秒前
森海完成签到,获得积分10
21秒前
搞怪人雄完成签到 ,获得积分10
21秒前
22秒前
wwj完成签到,获得积分10
22秒前
Lucky完成签到,获得积分10
23秒前
烂漫世德完成签到 ,获得积分10
23秒前
Ayellow发布了新的文献求助10
23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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7611866
求助须知:如何正确求助?哪些是违规求助? 9187421
关于积分的说明 19682811
捐赠科研通 7185626
什么是DOI,文献DOI怎么找? 3270656
关于科研通互助平台的介绍 2434182
邀请新用户注册赠送积分活动 2265520