Characterization of the Human Gastric Fluid Proteome Reveals Distinct pH-Dependent Protein Profiles: Implications for Biomarker Studies

生物标志物 蛋白质组 人类蛋白质组计划 化学 计算生物学 蛋白质组学 生物 生物化学 基因
作者
Siok Yuen Kam,Thomas Hennessy,Seow Ching Chua,Chee Sian Gan,Robin Philp,Ka Ka Hon,Liyun Lai,Weng Hoong Chan,Hock Soo Ong,Wai Keong Wong,Kiat Hon Lim,Khoon Lin Ling,Hwee Sian Tan,Mei-Mei Tan,Mengfatt Ho,Oi Lian Kon
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:10 (10): 4535-4546 被引量:21
标识
DOI:10.1021/pr200349z
摘要

Gastric fluid is a source of gastric cancer biomarkers. However, very little is known about the normal gastric fluid proteome and its biological variations. In this study, we performed a comprehensive analysis of the human gastric fluid proteome using samples obtained from individuals with benign gastric conditions. Gastric fluid proteins were prefractionated using ultracentrifuge filters (3 kDa cutoff) and analyzed by two-dimensional gel electrophoresis (2-DE) and multidimensional LC-MS/MS. Our 2-DE analysis of 170 gastric fluid samples revealed distinct protein profiles for acidic and neutral samples, highlighting pH effects on protein composition. By 2D LC-MS/MS analysis of pooled samples, we identified 284 and 347 proteins in acidic and neutral samples respectively (FDR ≤1%), of which 265 proteins (72.4%) overlapped. However, unlike neutral samples, most proteins in acidic samples were identified from peptides in the filtrate (i.e., <3 kDa). Consistent with this finding, immunoblot analysis of six potential gastric cancer biomarkers rarely detected full-length proteins in acidic samples. These findings have important implications for biomarker studies because a majority of gastric cancer patients have neutral gastric fluid compared to noncancer controls. Consequently, sample stratification, choice of proteomic approaches, and validation strategy can profoundly affect the interpretation of biomarker findings. These observations should help to refine gastric fluid biomarker studies.

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
gugumi完成签到 ,获得积分10
刚刚
小怪兽发布了新的文献求助10
1秒前
陈圈圈发布了新的文献求助10
2秒前
2秒前
3秒前
懒羊羊完成签到,获得积分10
5秒前
汉堡包应助马思婕采纳,获得10
5秒前
脉动应助陈圈圈采纳,获得10
6秒前
奋斗的妙梦完成签到 ,获得积分10
6秒前
ding应助电子医学小书包采纳,获得150
6秒前
隐形曼青应助醉眠采纳,获得10
7秒前
难过的谷芹应助acadedog采纳,获得10
8秒前
懒羊羊发布了新的文献求助10
9秒前
11秒前
在水一方应助red采纳,获得10
12秒前
12秒前
13秒前
怪僻完成签到 ,获得积分10
13秒前
15秒前
许莞完成签到,获得积分20
15秒前
Jasper应助人间以上采纳,获得30
15秒前
南北发布了新的文献求助50
15秒前
褚华健发布了新的文献求助10
15秒前
16秒前
爆米花应助Omni采纳,获得10
17秒前
bai完成签到,获得积分10
17秒前
yaya发布了新的文献求助10
17秒前
爆米花应助Tomsen采纳,获得10
17秒前
duoduo完成签到,获得积分10
17秒前
18秒前
18秒前
HLS完成签到,获得积分10
18秒前
19秒前
19秒前
sunny发布了新的文献求助50
20秒前
小蘑菇应助南北采纳,获得50
20秒前
孙香完成签到,获得积分10
20秒前
curtain完成签到,获得积分10
21秒前
ozero完成签到,获得积分10
21秒前
21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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Fundamentals of Strain Psychology 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6343535
求助须知:如何正确求助?哪些是违规求助? 8158533
关于积分的说明 17152530
捐赠科研通 5399889
什么是DOI,文献DOI怎么找? 2860062
邀请新用户注册赠送积分活动 1838111
关于科研通互助平台的介绍 1687782