PXD030094 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | De Novo Sequencing of SARS-CoV-2 and influenza monoclonal antibodies by mass spectrometry using HCD and EThcD fragmentation and Supernovo software |
Description | 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. |
HostingRepository | PRIDE |
AnnounceDate | 2022-06-03 |
AnnouncementXML | Submission_2022-06-03_15:41:51.300.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Peter Faull |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | complex glycosylation |
Instrument | Orbitrap Fusion |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-12-02 02:09:54 | ID requested | |
⏵ 1 | 2022-06-03 15:41:51 | announced | |
2 | 2023-11-14 08:54:00 | announced | 2023-11-14: Updated project metadata. |
Publication List
Keyword List
submitter keyword: de novo sequencing, monoclonal antibodies, EThcD |
Contact List
Maria Person |
contact affiliation | Biological Mass Spectrometry Facility, Center for Biomedical Research Support, The University of Austin at Texas |
contact email | mperson@austin.utexas.edu |
lab head | |
Peter Faull |
contact affiliation | The University of Texas at Austin |
contact email | peter.faull@austin.utexas.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD030094
- Label: PRIDE project
- Name: De Novo Sequencing of SARS-CoV-2 and influenza monoclonal antibodies by mass spectrometry using HCD and EThcD fragmentation and Supernovo software