Proteome Letters
Online ISSN : 2432-2776
ISSN-L : 2432-2776
Acquisition of Diagnostic and Prognostic Markers for Lung Cancer Using Generated Antibodies
Ryo Nagashio
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2017 Volume 2 Issue 1 Pages 47-51

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Abstract

Antibodies are usually developed using purified proteins or synthetic peptides. We have exhaustively generated monoclonal antibodies against various tumor-associated proteins using lung cancer cell lines or tissues as antigens with the random immunization method, and have obtained over 2,000 monoclonal antibodies. This method is expected to generate antibodies against proteins with tumor-specific post-translational modifications that are difficult to obtain by conventional immunization methods. Moreover, random immunization method can select antibodies which react with only tumor cells at the time of screening and is useful to obtain many potential immunostaining antibodies in a short time. Actually, monoclonal antibodies generated by this random immunization method are useful as diagnostic and prognostic markers for lung cancers. In a study to search for the marker which is useful for differential diagnosis and prognosis, the use of the random immunization is expected.

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© 2017 Japanese Proteomics Society
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