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Limited amount and extreme concentration variability of proteomic-related samples require efficient analyte preconcentration and purification prior to the mass spectrometry (MS)-based analysis. Preferably, these steps should be coupled on-line with chosen fractionation and detection techniques for the minimization of the sample loss. To realize such sample pretreatment, herein, an on-chip solid-phase extraction – gradient elution – tandem mass spectrometry (SPE-GEMS/MS) is introduced. This technique combines in a microfluidic format on-line sample preconcentration/purification on SPE sorbent with further fractionation and MS/MS analysis. C8-functionalized mesoporous magnetic microspheres are chosen as a sorbent, spatially-confined with an applied magnetic field. They assure a selective enrichment and analysis of large hydrophobic peptides (2.5-7 kDa), matching the desired mass bin of the extended bottom-up proteomic (eBUP, 3-7 kDa) approach. Within less than 35 min and without additional sample purification, SPE-GEMS/MS provided 66.5 % of protein sequence coverage from 75 fmol of BSA tryptic digest. Analysis of only 33 fmol of a single monoclonal antibody, digested with secreted aspartic protease 9 (Sap9) to large peptides, yielded 80 % of its sequence coverage. More complex equimolar mixture of six antibodies (55 fmol each), submitted to Sap9 proteolysis, was also successfully processed by SPE-GEMS/MS, resulting in 50-67 % of the total antibody sequence coverage. Importantly, for all antibodies, unique peptides containing complementarity determining regions were detected for both heavy and light chains, leading to a correct identification of mixture components despite their high sequence homology. Moreover, SPE-GEMS/MS microchip and chosen magnetic sorbent are cost-effective, can be produced and operated in a disposable manner. Therefore, present technique could be potentially suitable for a high throughput sequencing of monoclonal antibodies and rapid eBUP-based structural protein analysis, especially when only limited sample amount is available.
Christophe Ballif, Edoardo Charbon, Claudio Bruschini, Nicolas Würsch, Luca Massimiliano Antognini, Emanuele Ripiccini, Jad Benserhir, Samira Alexandra Frey
Anaïs Betsabeh Haget, Maria Boulougouri