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Développement d’une méthodologie couplant la photodissociation laser et la spectrométrie de masse haute résolution pour l’identification de nouveaux biomarqueurs

Abstract : Mass spectrometry is a powerful tool to detect putative proteins biomarkers in biological samples. Several methods are accessible, including Data Independent Acquisition (DIA) which allows the fragmentation of all detectable peptides in high resolution mass spectrometer. However, DIA methods are not able to exhaustively identify compounds due to the excessive complexity of fragmentation spectra of multiple precursor ions. Thus, we developed an alternative technique that adds specificity during fragmentation step to detect only a subset of peptides. We replaced the classical gas-collision fragmentation by a highly specific laser-induced photodissociation (LID) at 473 nm, for which peptides do not naturally absorb, in a Q-exactive. The specific absorption and photofragmentation is induced by grafting an adequate quenching chromophore to the thiol group of cysteine-containing peptides (a rare amino acid with a frequency of 2 % but present in 89 % of all human proteins) through a chemically controlled route. First, to develop the DIA-LID method, a spectral library including LID spectra of 354 cysteine-containing peptides was built. Then, this methodology was used to identify and quantify putative human protein kinases biomarkers in human cancerous mammalian cells. Simultaneously the fragmentation behavior of 401 derivatized cysteine-containing peptides was studied to rationalize the choice of peptides to provide the maximum of information to identify them in LID for discovery approaches. In closing, a new methodology named C-trap-LID, was introduced and applied to spot and extract quickly m/z related to all detectable derivatized cysteine-containing compounds in complex medium
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Leny Garcia. Développement d’une méthodologie couplant la photodissociation laser et la spectrométrie de masse haute résolution pour l’identification de nouveaux biomarqueurs. Chimie analytique. Université de Lyon, 2017. Français. ⟨NNT : 2017LYSE1287⟩. ⟨tel-01768269⟩

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