Proteomics

Dataset Information

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De Novo Sequencing of SARS-CoV-2 and influenza monoclonal antibodies by mass spectrometry using HCD and EThcD fragmentation and Supernovo software


ABSTRACT: In this study, we used electron-transfer/higher energy collision dissociation (EThcD) fragmentation to develop a mass-spectrometric (MS) method for distinguishing between Ile and Leu in Bovine Serum Albumin (BSA) and a SARS-CoV-1 anti-receptor binding domain (RBD) Spike monoclonal antibody (mAb). Supplemental activation normalized collision energy (SA-NCE) values were optimized. Combinations of multiple enzyme digestions, coupled with higher-energy collisional dissociation (HCD) and EThcD fragmentation, were used to increase coverage of all amino acid residues of the antibody. The data was searched with Supernovo™, which generated a complete de novo sequence for the test mAb and two additional SARS-CoV-2 human mAbs, giving correct sequences for the variable regions and selection between Ile and Leu residues. We then used the method on an additional set of twenty-five anti-hemagglutinin (HA) influenza antibodies of unknown sequence and determined high confidence sequences for >99% of the complementarity determining regions (CDRs). Importantly, the recombinant expression of these mAbs verified their binding and specificity to the HA influenza antigen. Unique glycosylation sites were also identified for eight antibodies. Our findings indicate this methodology results in almost complete antibody sequence coverage with >90% of residues determined with high confidence. Ile/Leu residues can be differentiated and glycosylation sites can be reliably identified.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood

SUBMITTER: Peter Faull  

LAB HEAD: Maria Person

PROVIDER: PXD030094 | Pride | 2022-06-03

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
1028_072920_EThcD_CT.raw Raw
1028_072920_EThcD_E.raw Raw
1028_072920_EThcD_P.raw Raw
1028_072920_EThcD_T.raw Raw
1028_073120_F2_CT.raw Raw
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