Characterisation of isoform-specific tryptic peptides of rat cardiac myosin heavy chains using automated liquid chromatography-matrix assisted laser desorption ionisation (LC-MALDI) mass spectrometry
Autor: | Jatin G. Burniston, Joanne B. Connolly |
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Rok vydání: | 2010 |
Předmět: |
Male
Protein mass spectrometry Mass spectrometry Proteomics Ventricular Myosins Automation Column chromatography Sequence Analysis Protein Lysis buffer Animals Protein Isoforms Medicine Rats Wistar Chromatography High Pressure Liquid Chromatography Myosin Heavy Chains business.industry Isoelectric focusing Myocardium Trypsin Rats Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Proteome Cardiology and Cardiovascular Medicine business medicine.drug |
Zdroj: | International Journal of Cardiology. 140:363-366 |
ISSN: | 0167-5273 |
DOI: | 10.1016/j.ijcard.2008.11.058 |
Popis: | Proteomics investigations using 2-dimensional electrophoresis (2-DE) cannot resolve the entire cardiac proteome because some proteins, including myosin heavy chains (MyHC), are insoluble in the buffers required for isoelectric focusing. Here, we report an automated mass spectrometry (MS) method complementary to 2-DE and capable of yielding important additional information. Rat myocardium was homogenised in standard lysis solution and centrifuged to produce a supernatant fraction, suitable for 2-DE. The pelleted fraction, which is normally discarded, was used for the current analysis. Proteins were digested with trypsin and the peptides fractionated by HPLC. Automated spotting of eluent fractions onto 384-well target plates and matrix-assisted laser desorption tandem time of flight (MALDI-ToF/ToF) MS were directed by dedicated software. Peptide ions were fragmented by collision-induced dissociation and the MS/MS spectra searched against the NCBI database using Mascot. This approach confidently identified 13 tryptic peptides specific to cardiac α-MyHC and 4 specific to β-MyHC, which can be used to differentiate these highly homologous protein isoforms in future quantitative MS analyses. |
Databáze: | OpenAIRE |
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