Aug 25 – 29, 2025
Lecture Hall D
Europe/Berlin timezone

Top-Down Mass Spectrometry of a Clinical Antibody Light Chain Using the Omnitrap-Orbitrap-Booster Platform

Aug 27, 2025, 11:15 AM
5m
VMP 6 / Philturm (Lecture Hall D)

VMP 6 / Philturm

Lecture Hall D

Von-Melle-Park 6 20146 Hamburg
Oral Presentation Lightning Talks

Speaker

Marie Yammine (INSTITUT PASTEUR - CNRS)

Description

The Omnitrap-Orbitrap-Booster (OOB) mass spectrometry (MS) platform with enhanced high-resolution, fragmentation and data acquisition capabilities, was developed to advance top-down (TD) MS analysis of proteins. It integrates a multimodal tandem mass spectrometry (MS/MS) ion trap system (OmnitrapTM) offering a wide range of fragmentation methods, a high-resolution Orbitrap Fourier transform mass spectrometer (FTMS), and a high-performance data acquisition system (FTMS Booster) to improve fragmentation efficiency and spectral quality by increasing the signal-to-noise (S/N) ratio of product ions. In this study, we evaluate the OOB platform for electron capture dissociation (ECD)-based TD MS analysis of a clinical multiple myeloma antibody light chain extracted from the patient’s (P15) urine sample, benchmarking its performance against the “gold-standard” electron transfer dissociation (ETD)-based TD MS on an Orbitrap EclipseTM. These analyses were performed with online coupling to a LC system operating in nanoflow mode. Comparable sequence coverage was obtained for single precursor charge state analysis between ECD-based TD MS on OOB and ETD-based TD MS on EclipseTM (68.2% vs. 74.3% respectively). ECD showed a lower spectral peak density and reduced redundancy of product ions. Moreover, the analysis of multiple precursor charge states (15+ to 19+) sequentially across 5 runs of LC-MS/MS on the OOB platform improves the sequence coverage to 93%, indicating its suitability for comprehensive characterization of protein. Thus, this study uniquely establishes the OOB platform as a highly powerful and efficient system for TD MS of proteins.

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Authors

Camille Garcia (Institut Pasteur, Université Paris Cité) Nina Khristenko TingTing Fu (Institut Pasteur, Université Paris Cité) Karen Druart (Institut Pasteur, Université Paris Cité) Konstantin O. Nagornov (Spectroswiss) Marie Yammine (INSTITUT PASTEUR - CNRS) Athanasios Smyrnakis (Fasmatech Science & Technology, Lefkippos TESPA) Anton N. Kozhinov (Spectroswiss) Dimitris Papanastasiou (Fasmatech Science & Technology, Lefkippos TESPA) Yury Tsybin Julia CHAMOT-ROOKE (INSTITUT PASTEUR - CNRS)

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