Serology in the Digital Age: Using Long Synthetic Peptides Created from Nucleic Acid Sequences as Antigens in Microarrays

数字时代的血清学:使用由核酸序列创建的长合成肽作为微阵列中的抗原

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作者:Muhammad Rizwan, Bengt Rönnberg, Maksims Cistjakovs, Åke Lundkvist, Rudiger Pipkorn, Jonas Blomberg

Background

Antibodies to microbes, or to autoantigens, are important markers of disease. Antibody detection (serology) can reveal both past and recent infections. There is a great need for development of rational ways of detecting and quantifying antibodies, both for humans and animals. Traditionally, serology using synthetic antigens covers linear epitopes using up to 30 amino acid peptides.

Conclusion

Long synthetic peptides can be useful as serological diagnostic antigens, serving as biomarkers, in suspension microarrays.

Methods

We here report that peptides of 100 amino acids or longer ("megapeptides"), designed and synthesized for optimal serological performance, can successfully be used as detection antigens in a suspension multiplex immunoassay (SMIA). Megapeptides can quickly be created just from pathogen sequences. A combination of rational sequencing and bioinformatic routines for definition of diagnostically-relevant antigens can, thus, rapidly yield efficient serological diagnostic tools for an emerging infectious pathogen.

Results

We designed megapeptides using bioinformatics and viral genome sequences. These long peptides were tested as antigens for the presence of antibodies in human serum to the filo-, herpes-, and polyoma virus families in a multiplex microarray system. All of these virus families contain recently discovered or emerging infectious viruses.

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