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Identification of multiple proteoforms biomarkers on clinical samples by routine Top-Down approaches

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Vialaret, Jérôme | Schmit, Pierre-Olivier | Lehmann, Sylvain | Gabelle, Audrey | Wood, Jason | Bern, Marshall | Paape, Rainer | Suckau, Detlev | Kruppa, Gary | Hirtz, Christophe

Edité par CCSD ; Elsevier -

International audience. Top-Down approaches have an extremely high biological relevance, especially when it comes to biomarker discovery, but the necessary pre-fractionation constraints are not easily compatible with the robustness requirements and the size of clinical sample cohorts. We have demonstrated that intact protein profiling studies could be run on UHR-Q-ToF with limited pre-fractionation (Schmit et al., 2017) [1]. The dataset presented herein is an extension of this research. Proteoforms known to play a role in the pathophysiology process of Alzheimer's disease were identified as candidate biomarkers. In this article, mass spectrometry performance of these candidates are demonstrated.

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