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Prostate specific antigen (PSA), as a widely used clinical biomarker in prostate cancer diagnostics, exists in multiple molecular forms. However, all of these forms might not be recognized in a given sample by the standard immunoassays. Therefore, we have investigated PSA isoforms, separated by size, using mass spectrometric analyses. The objective of these developments was to identify and specify the various forms of PSA. To optimize successful identification of different PSA forms, we have developed a bioinformatic strategy, consisting of high resolution MALDI-MS PMF and sequencing MS/MS data searches. To improve sequence-based identification, the recently introduced Proteios software environment was employed, allowing the combination of multiple database search engines in an automated manner. We could unambiguously identify PSA in clinical samples by all detectable tryptic peptides, which were found to be common in several isoforms.

Original publication

DOI

10.1016/j.jprot.2011.06.008

Type

Journal article

Journal

J Proteomics

Publication Date

10/12/2011

Volume

75

Pages

202 - 210

Keywords

Amino Acid Sequence, Computational Biology, Humans, Male, Molecular Sequence Data, Peptide Fragments, Prostate-Specific Antigen, Prostatic Neoplasms, Protein Isoforms, Software, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Trypsin