Comprehending COVID-19: Multiple Reaction Monitoring Transition Selection and Optimization Strategies for LC-MS Based SARS-CoV-2 Detection

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Laurence Van Oudenhove, Nikunj Tanna, Jan Claereboudt, Hans Vissers, Bart Van Puyvelde, Simon Daled, Dieter Deforce, Katleen Van Uytfanghe, Maarten Dhaenens
Waters, University of Ghent
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The COVID-19 pandemic has resulted in the development of mass spectrometry based methods to characterize, identify, and quantify proteins. These methods are aimed at understanding the structural biology and interaction mechanisms of SARS-CoV-2, or as a complementary method to detect relevant markers. Targeted mass spectrometry, through the detection of viral peptides in proteolytically digested body fluids, has been suggested as a SARS-CoV-2 detection method. The work presented here demonstrates application of the MassLynx Skyline Interface for automated peptide Multiple Reaction Monitoring selection and optimization with a Xevo TQ-XS Tandem Quadrupole Mass Spectrometer.

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