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Proteins from Avastin® (bevacizumab) Show Tyrosine Nitrations for which the Consequences Are Completely Unclear

Overview of attention for article published in PLOS ONE, April 2012
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Title
Proteins from Avastin® (bevacizumab) Show Tyrosine Nitrations for which the Consequences Are Completely Unclear
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034511
Pubmed ID
Authors

Jia Wan, Edina Csaszar, Wei-Qiang Chen, Kongzhao Li, Gert Lubec

Abstract

Avastin® (bevacizumab) is a protein drug widely used for cancer treatment although its further use is questionable due to serious side effects reported. As no systematic proteomic study on posttranslational modifications (PTMs) was reported so far, it was the aim of the current study to use a gel-based proteomics method for determination of Avastin®-protein(s). Avastin® was run on two-dimensional gel electrophoresis (2-DE), spots were picked, followed by multi-enzyme in-gel digestion. Subsequently, the resulting peptides and posttranslational modifications were identified by mass spectrometry (nano-LC-ESI-MS/MS; HCT and LTQ Orbitrap MS). Heavy and light chains were observed and the 9 spots that were picked from 2DE-gels were identified as bevacizumab with high sequence coverage. MS/MS results showed multiple tyrosine nitrations on the Avastin® light and heavy chains that were either represented as nitrotyrosine or as aminotyrosine, which was shown to be generated from nitrotyrosine under reducing conditions. Protein nitration is known to significantly change protein functions and interactions and it may well be that some of the adverse effects of the protein drug Avastin® may be due to this PTM, which may have been generated during production--thus, nitration of Avastin® is a challenge for the pharmaceutical industry.

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The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 28%
Student > Master 5 16%
Student > Ph. D. Student 3 9%
Professor > Associate Professor 2 6%
Student > Doctoral Student 2 6%
Other 4 13%
Unknown 7 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 34%
Medicine and Dentistry 4 13%
Biochemistry, Genetics and Molecular Biology 4 13%
Chemistry 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 2 6%
Unknown 6 19%