Bioinformatic strategies for unambiguous identification of prostate specific antigen in clinical samples
Végvári, Ákos LU ; Rezeli, Melinda LU
; Häkkinen, Jari
LU
; Sihlbom, Carina
; Carlsohn, Elisabet
; Malm, Johan
LU
; Lilja, Hans
LU
; Laurell, Thomas
LU
and Marko-Varga, György
LU
(2011)
In Journal of Proteomics
75(1).
p.202-210
- Abstract
- 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... (More) - 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1966822
- author
- Végvári, Ákos
LU
; Rezeli, Melinda
LU
; Häkkinen, Jari
LU
; Sihlbom, Carina
; Carlsohn, Elisabet
; Malm, Johan
LU
; Lilja, Hans
LU
; Laurell, Thomas
LU
and Marko-Varga, György
LU
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- prostate specific antigen, isoforms, MALDI LTQ Orbitrap XL, ESI-LTQ FT-ICR, Proteios software environment, kallikrein-2
- in
- Journal of Proteomics
- volume
- 75
- issue
- 1
- pages
- 202 - 210
- publisher
- Elsevier
- external identifiers
-
- wos:000298710400020
- scopus:84858734563
- ISSN
- 1874-3919
- DOI
- 10.1016/j.jprot.2011.06.008
- language
- English
- LU publication?
- yes
- id
- 8d41e980-0e1c-469a-b852-4c75d35fffc2 (old id 1966822)
- date added to LUP
- 2016-04-01 11:06:12
- date last changed
- 2023-08-31 18:45:06
@article{8d41e980-0e1c-469a-b852-4c75d35fffc2,
abstract = {{Prostate specific antigen (PSA), as a widely used clinical biomarker in prostate cancer<br/><br>
diagnostics, exists in multiple molecular forms. However, all of these forms might not be recognized in<br/><br>
a given sample by the standard immunoassays. Therefore, we have investigated PSA isoforms<br/><br>
separated by size using mass spectrometric analyses. The objective of these developments was to<br/><br>
identify and specify the various forms of PSA. To optimize successful identification of different PSA<br/><br>
forms, we have developed a bioinformatic strategy, consisting of high resolution MALDI-MS PMF and<br/><br>
sequencing MS/MS data searches. To improve sequence-based identification, the recently introduced<br/><br>
Proteios software environment was employed, allowing the combination of multiple database search<br/><br>
engines in an automated manner.<br/><br>
We could unambiguously identify PSA in clinical samples by all detectable tryptic peptides, which were<br/><br>
found to be common in several isoforms.}},
author = {{Végvári, Ákos and Rezeli, Melinda and Häkkinen, Jari and Sihlbom, Carina and Carlsohn, Elisabet and Malm, Johan and Lilja, Hans and Laurell, Thomas and Marko-Varga, György}},
issn = {{1874-3919}},
keywords = {{prostate specific antigen; isoforms; MALDI LTQ Orbitrap XL; ESI-LTQ FT-ICR; Proteios software environment; kallikrein-2}},
language = {{eng}},
number = {{1}},
pages = {{202--210}},
publisher = {{Elsevier}},
series = {{Journal of Proteomics}},
title = {{Bioinformatic strategies for unambiguous identification of prostate specific antigen in clinical samples}},
url = {{https://lup.lub.lu.se/search/files/2381111/2028876.pdf}},
doi = {{10.1016/j.jprot.2011.06.008}},
volume = {{75}},
year = {{2011}},
}