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Title: | De novo mass spectrometry sequencing and characterization of species-specific peptides from nucleoside diphosphate kinase B for the classification of commercial fish species belonging to the family Merlucciidae |
Authors: | Carrera, Mónica ![]() ![]() ![]() ![]() |
Keywords: | Proteomics Nucleoside diphosphate Kinase Fish De novo sequencing Mass spectrometry Selective ion reaction monitoring NDK SIRM |
Issue Date: | 10-Jul-2007 |
Publisher: | American Chemical Society |
Citation: | Journal of Proteome Research 6(8): 3070-3080 (2007) |
Abstract: | The characterization by de novo peptide sequencing of the different protein nucleoside diphosphate kinase B (NDK B) from all the commercial hakes and grenadiers belonging to the family Merlucciidae is reported. A classical proteomics approach, consisting of two-dimmensional gel electrophoresis, tryptic in-gel digestion of the excised spots, MALDI-TOF MS, LC−MS/MS, and nanoESI−MS/MS analyses, was followed for the purification and characterization of the different isoforms of the NDK B. Fragmentation spectra were used for de novo peptide sequence. A high degree of homology was found between the sequences of all the species studied and the NDK B sequence from Gillichthys mirabilis, which is accessible in the protein databases. Particular attention was paid to the differential characterization of species-specific peptides that could be used for fish authentication purposes. These findings allowed us to propose a rapid and effective classification method, based in the detection of these biomarker peptides using the selective ion reaction monitoring (SIRM) scan mode in mass spectrometry. |
Description: | 11 pages, 7 figures.-- PMID: 17622168 [PubMed].-- Supplementary information (Results and discussion, figure S1, table S1, 2 pages) available at: http://pubs.acs.org/doi/suppl/10.1021/pr0701963/suppl_file/pr0701963si20070521_060524.pdf. Printed version published on Aug 3, 2007. |
Publisher version (URL): | http://dx.doi.org/10.1021/pr0701963 |
URI: | http://hdl.handle.net/10261/10154 |
DOI: | 10.1021/pr0701963 |
ISSN: | 1535-3893 |
Appears in Collections: | (IIM) Artículos (CBM) Artículos |
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