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A stringent approach to improve the quality of nitrotyrosine peptide identifications

Bart Ghesquière UGent, Kenny Helsens UGent, Joël Vandekerckhove and Kris Gevaert UGent (2011) PROTEOMICS. 11(6). p.1094-1098
abstract
Tyrosine nitration is the consequence of a complex machinery of formation and merging of oxygen and nitrogen radicals, and has been associated with both physiological pathways as well as with several human diseases. The latter turned this posttranslational protein modification into an interesting biomarker, being either a consequence of the disease or a factor contributing to the disease onset. However, the interpretation of MS and MS/MS data of peptides containing nitrotyrosine has proven to be very challenging and consequently, the risk of linking MS/MS spectra to incorrect peptide sequences exists and has been reported. Here, we discuss the causes of data misinterpretation and describe a general method to avoid mistakes of MS/MS spectrum misinterpretation. Central in our approach is the reduction of nitrotyrosine into aminotyrosine and the use of the Peptizer algorithm to inspect MS/MS quality-related assumptions.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
DISEASES, 3-NITROTYROSINE, PEROXYNITRITE, MASS-SPECTROMETRY, Peptide, PROTEIN-TYROSINE NITRATION, High-throughtput proteomics, Bioinformatics
journal title
PROTEOMICS
Proteomics
volume
11
issue
6
pages
1094 - 1098
Web of Science type
Article
Web of Science id
000288137700011
JCR category
BIOCHEMICAL RESEARCH METHODS
JCR impact factor
4.505 (2011)
JCR rank
14/72 (2011)
JCR quartile
1 (2011)
ISSN
1615-9853
DOI
10.1002/pmic.201000526
project
Bioinformatics: from nucleotids to networks (N2N)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1197754
handle
http://hdl.handle.net/1854/LU-1197754
date created
2011-03-28 11:15:20
date last changed
2016-12-19 15:45:53
@article{1197754,
  abstract     = {Tyrosine nitration is the consequence of a complex machinery of formation and merging of oxygen and nitrogen radicals, and has been associated with both physiological pathways as well as with several human diseases. The latter turned this posttranslational protein modification into an interesting biomarker, being either a consequence of the disease or a factor contributing to the disease onset. However, the interpretation of MS and MS/MS data of peptides containing nitrotyrosine has proven to be very challenging and consequently, the risk of linking MS/MS spectra to incorrect peptide sequences exists and has been reported. Here, we discuss the causes of data misinterpretation and describe a general method to avoid mistakes of MS/MS spectrum misinterpretation. Central in our approach is the reduction of nitrotyrosine into aminotyrosine and the use of the Peptizer algorithm to inspect MS/MS quality-related assumptions.},
  author       = {Ghesqui{\`e}re, Bart and Helsens, Kenny and Vandekerckhove, Jo{\"e}l and Gevaert, Kris},
  issn         = {1615-9853},
  journal      = {PROTEOMICS},
  keyword      = {DISEASES,3-NITROTYROSINE,PEROXYNITRITE,MASS-SPECTROMETRY,Peptide,PROTEIN-TYROSINE NITRATION,High-throughtput proteomics,Bioinformatics},
  language     = {eng},
  number       = {6},
  pages        = {1094--1098},
  title        = {A stringent approach to improve the quality of nitrotyrosine peptide identifications},
  url          = {http://dx.doi.org/10.1002/pmic.201000526},
  volume       = {11},
  year         = {2011},
}

Chicago
Ghesquière, Bart, Kenny Helsens, Joël Vandekerckhove, and Kris Gevaert. 2011. “A Stringent Approach to Improve the Quality of Nitrotyrosine Peptide Identifications.” Proteomics 11 (6): 1094–1098.
APA
Ghesquière, B., Helsens, K., Vandekerckhove, J., & Gevaert, K. (2011). A stringent approach to improve the quality of nitrotyrosine peptide identifications. PROTEOMICS, 11(6), 1094–1098.
Vancouver
1.
Ghesquière B, Helsens K, Vandekerckhove J, Gevaert K. A stringent approach to improve the quality of nitrotyrosine peptide identifications. PROTEOMICS. 2011;11(6):1094–8.
MLA
Ghesquière, Bart, Kenny Helsens, Joël Vandekerckhove, et al. “A Stringent Approach to Improve the Quality of Nitrotyrosine Peptide Identifications.” PROTEOMICS 11.6 (2011): 1094–1098. Print.