亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Membrane proteomic analysis comparing squamous cell lung cancer tissue and tumour-adjacent normal tissue

肺癌 病理 免疫印迹 蛋白质组学 癌症 生物标志物 鳞癌 生物 转移 细胞 癌症研究 医学 内科学 生物化学 基因 遗传学
作者
Burong Li,Jiantong Chang,Yonglie Chu,Huafeng Kang,Jun Yang,Jiantao Jiang,Hongbin Ma
出处
期刊:Cancer Letters [Elsevier BV]
卷期号:319 (1): 118-124 被引量:20
标识
DOI:10.1016/j.canlet.2011.12.037
摘要

Lung cancer is the leading cause of cancer-related deaths worldwide. Squamous cell carcinoma is one of the predominant histological subtypes of lung cancer. Detecting lung cancer at an early stage is essential for successful therapy and increasing survival. There are still no satisfactory biomarkers for the early detection of lung cancer. In this study, tumour tissue paired with tumour-adjacent normal bronchial epithelial tissue was obtained from patients with squamous cell lung carcinoma without metastasis. The proteins extracted from the cell membrane were separated by two-dimensional polyacrylamide gel electrophoresis (2-DE) and were analysed with the Image Master two-dimensional platinum software. Twenty-five significantly different protein spots were selected and identified with matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS). A total of 19 proteins were successfully identified. Twelve proteins were up-regulated, and seven proteins were down-regulated in the cancerous tissue compared with the tumour-adjacent normal tissue. One up-regulated protein and one down-regulated protein in squamous cell lung carcinoma were verified by Western blot analysis and RT-PCR; the results were consistent with the 2-DE analysis. In conclusion, membrane proteomics identified a number of candidate biomarker proteins that were differentially expressed between squamous cell lung cancer tissue and adjacent normal tissue. These biomarker candidates have the potential to elucidate the underlying pathogenesis of squamous cell lung cancer.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
zhiwei完成签到 ,获得积分0
1秒前
2秒前
9秒前
祗想静静嘚完成签到 ,获得积分10
13秒前
19秒前
19秒前
顺利山蝶发布了新的文献求助10
25秒前
顺利山蝶发布了新的文献求助10
25秒前
隐形曼青应助机智明辉采纳,获得10
29秒前
30秒前
36秒前
机智明辉发布了新的文献求助10
41秒前
顺利山蝶完成签到 ,获得积分10
49秒前
李密完成签到 ,获得积分10
50秒前
刘十六完成签到 ,获得积分10
51秒前
54秒前
大个应助科研通管家采纳,获得10
54秒前
SciGPT应助科研通管家采纳,获得10
54秒前
54秒前
54秒前
汉堡包应助科研通管家采纳,获得10
54秒前
小半完成签到 ,获得积分10
1分钟前
Kristopher完成签到 ,获得积分10
1分钟前
1分钟前
Wxxxxx完成签到 ,获得积分10
1分钟前
唐阳发布了新的文献求助10
1分钟前
张姐发布了新的文献求助10
1分钟前
张姐完成签到,获得积分10
1分钟前
1分钟前
1分钟前
贺可乐完成签到,获得积分10
2分钟前
江南第八发布了新的文献求助10
2分钟前
贺可乐发布了新的文献求助30
2分钟前
zqq完成签到,获得积分0
2分钟前
清爽谷秋发布了新的文献求助20
2分钟前
江南第八完成签到,获得积分10
2分钟前
壮观的谷冬完成签到 ,获得积分0
2分钟前
传奇3应助zeyin采纳,获得10
2分钟前
清爽谷秋完成签到,获得积分20
2分钟前
lillian完成签到,获得积分10
2分钟前
高分求助中
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
哈工大泛函分析教案课件、“72小时速成泛函分析:从入门到入土.PDF”等 660
Theory of Dislocations (3rd ed.) 500
Comparing natural with chemical additive production 500
The Leucovorin Guide for Parents: Understanding Autism’s Folate 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5220883
求助须知:如何正确求助?哪些是违规求助? 4394087
关于积分的说明 13680180
捐赠科研通 4257138
什么是DOI,文献DOI怎么找? 2335963
邀请新用户注册赠送积分活动 1333573
关于科研通互助平台的介绍 1288039