抗原
噬菌体展示
血清学
抗体
互补DNA
计算生物学
自身抗体
生物
cDNA文库
蛋白质组
免疫学
生物信息学
基因
遗传学
作者
Paola Cappello,Sara Bulfamante,Giorgia Mandili,Francesco Novelli
出处
期刊:Methods in molecular biology
日期:2022-01-01
卷期号:: 19-33
被引量:1
标识
DOI:10.1007/978-1-0716-2014-4_3
摘要
Antibodies against autologous tumor-associated antigens have been demonstrated as being useful biomarkers for early cancer diagnosis and prognosis. They have several advantages such as long half-life (7-30 days depending on subtiter of Ig), inherent stability in patients' blood due to not being subjected to proteolysis, well-studied biochemical properties, and their easy detections via secondary antibodies or antigens. Moreover, they can be easily screened in the serum using a noninvasive approach. Consequently, many technical approaches have been developed to study autoantibodies. We used serological proteome analysis (SERPA) for analyzing antibodies in pancreatic cancer patients' sera, and the technique will be discussed in detail. SERPA has several advantages over other approaches currently used such as SEREX (serological analysis of tumor antigens by recombinant cDNA expression cloning) and phage display. SEREX involves the construction of a lambda phage cDNA library from tumor samples to infect bacteria. While library construction is a quite laborious and time-consuming procedure in SEREX, detection of posttranslational modifications that could be fundamental for antibody recognition is a major limitation of both SEREX and phage display techniques. SERPA avoids the time-consuming construction of cDNA libraries. In addition, since it does not rely on bacterial expression of antigens, antigens will have their usual posttranslational modifications preventing false-positive or -negative results in autoantibody profiling.
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