Tumour auto-antibody screening: performance of protein microarrays using SEREX derived antigens

作者
René Stempfer,Parvez Syed,Klemens Vierlinger,Rudolf Pichler,Eckart Meese,Petra Leidinger,Nicole Ludwig,Albert Kriegner,Christa Nöhammer,Andreas Weinhäusel
出处
期刊:BMC Cancer [BioMed Central]
卷期号:10 (1): 627-627 被引量:19
标识
DOI:10.1186/1471-2407-10-627
摘要

BACKGROUND: The simplicity and potential of minimal invasive testing using serum from patients make auto-antibody based biomarkers a very promising tool for use in diagnostics of cancer and auto-immune disease. Although several methods exist for elucidating candidate-protein markers, immobilizing these onto membranes and generating so called macroarrays is of limited use for marker validation. Especially when several hundred samples have to be analysed, microarrays could serve as a good alternative since processing macro membranes is cumbersome and reproducibility of results is moderate. METHODS: Candidate markers identified by SEREX (serological identification of antigens by recombinant expression cloning) screenings of brain and lung tumour were used for macroarray and microarray production. For microarray production recombinant proteins were expressed in E. coli by autoinduction and purified His-tag (histidine-tagged) proteins were then used for the production of protein microarrays. Protein arrays were hybridized with the serum samples from brain and lung tumour patients. RESULT: Methods for the generation of microarrays were successfully established when using antigens derived from membrane-based selection. Signal patterns obtained by microarrays analysis of brain and lung tumour patients' sera were highly reproducible (R = 0.92-0.96). This provides the technical foundation for diagnostic applications on the basis of auto-antibody patterns. In this limited test set, the assay provided high reproducibility and a broad dynamic range to classify all brain and lung samples correctly. CONCLUSION: Protein microarray is an efficient means for auto-antibody-based detection when using SEREX-derived clones expressing antigenic proteins. Protein microarrays are preferred to macroarrays due to the easier handling and the high reproducibility of auto-antibody testing. Especially when using only a few microliters of patient samples protein microarrays are ideally suited for validation of auto-antibody signatures for diagnostic purposes.

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
彭于晏应助DSR采纳,获得10
2秒前
2秒前
西门问道完成签到,获得积分10
2秒前
负责母鸡发布了新的文献求助10
2秒前
武陵济世完成签到,获得积分10
3秒前
楠楠发布了新的文献求助10
3秒前
xxxxqqqqaaa发布了新的文献求助10
5秒前
哦吼吼发布了新的文献求助10
6秒前
泽诚发布了新的文献求助10
7秒前
colaboy完成签到,获得积分10
7秒前
小白完成签到,获得积分10
11秒前
哈啊啊啊啊完成签到,获得积分20
12秒前
xxxxqqqqaaa完成签到,获得积分10
13秒前
yzy应助Xiaoli采纳,获得10
14秒前
小蘑菇应助CHBW采纳,获得10
15秒前
molihuakai应助一小只柚子采纳,获得10
16秒前
17秒前
19秒前
20秒前
飞雪含笑完成签到,获得积分10
20秒前
慕青应助悦耳安寒采纳,获得10
21秒前
科研通AI6.2应助茉莉花采纳,获得10
22秒前
祁夫人发布了新的文献求助10
23秒前
AamirAli完成签到,获得积分10
24秒前
长情的傲珊完成签到 ,获得积分10
24秒前
25秒前
27秒前
27秒前
Lucas应助1111采纳,获得10
28秒前
CHBW发布了新的文献求助10
28秒前
Ava应助科研通管家采纳,获得10
29秒前
CipherSage应助科研通管家采纳,获得10
29秒前
充电宝应助科研通管家采纳,获得10
29秒前
29秒前
29秒前
慕青应助Dogo采纳,获得10
29秒前
29秒前
李爱国应助科研通管家采纳,获得10
29秒前
30秒前
Ava应助科研通管家采纳,获得10
30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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7587623
求助须知:如何正确求助?哪些是违规求助? 9165969
关于积分的说明 19617214
捐赠科研通 7167937
什么是DOI,文献DOI怎么找? 3266926
关于科研通互助平台的介绍 2431831
邀请新用户注册赠送积分活动 2258810