This is an Application Brief and does not contain a detailed Experimental section.
The SARS-CoV-2 spike protein has rightly garnered attention as a leading candidate for protein-based vaccines for COVID-19. Multiple studies have shown that neutralizing antibodies, from convalescent coronavirus patients, bind to the spike protein at both peptide and peptidoglycan epitopes. Peptide mapping analyses by liquid chromatography and mass spectrometry might therefore prove to be very useful during the development and QC analysis of new protein-based vaccine candidates for the novel coronavirus.
SARS-CoV-2, like other coronaviruses, relies on a spike protein to initiate host cell entry.1 This novel coronavirus spike protein is a ~540 kDa homotrimeric glycoprotein that is heterogeneously decorated with 66 N-glycan sites, which has recently been characterized by Watanabe et al. O-glycosylation on the protein, while predicted by computational modeling, has not yet been as thoroughly detailed.2,3 Despite its complexity, it is worthwhile to subject the spike protein to multiple analytical tests to offer new insights into SARS-CoV-2 virology. These new insights may lead to more robust development and manufacture of new vaccine candidates for COVID-19. Comprehensive characterization and monitoring of recombinant proteins by peptide mapping are techniques frequently used for the identification and tracking of post-translational modifications, like the previously mentioned glycans. Here, we have applied a tryptic peptide mapping approach to analyze a recombinant SARS-CoV-2 spike protein using a BioAccord LC-MS System to confirm sequence information and to make a preliminary assessment of site-specific glycan heterogeneity.
Recombinant SARS-CoV-2 spike protein, expressed and purified from HEK293 cells, was denatured with 8 M GuHCl, reduced and alkylated and then desalted with sizing media prior to being digested with trypsin overnight. To one aliquoted sample, PNGase F was added to hydrolyze away N-glycans. The resulting peptides were analyzed through the integrated peptide mapping workflow within the BioAccord LC-MS System. Data were processed with UNIFI to assign peptide identifications, confirm amino acid sequences with high energy MS fragmentation data, and to identify post-translational modifications.
LC-MS system: |
BioAccord LC-MS |
Detection: |
ACQUITY TUV |
Vials: |
QuanRecovery, 96 well |
Column(s): |
ACQUITY UPLC Peptide BEH C18 Column (p/n 186003555) |
Column temp.: |
65 ˚C |
Sample temp.: |
6 ˚C |
Injection volume: |
10 µL |
Flow rate: |
0.25 mL/min |
Mobile phase A: |
0.1% formic acid in H2O |
Mobile phase B: |
0.1% formic acid in acetonitrile |
Ionization mode: |
ESI positive |
Acquisition range: |
m/z 50-2000 |
Capillary voltage: |
1.2 kV |
Collision energy: |
60-130 V |
Cone voltage: |
30 V |
UNIFI Scientific Information System |
UNIFI 1.9.4 |
With the conditions described in peptide mapping experiments, approximately 90% sequence coverage was achieved for the recombinant SARS-COV-2 spike protein (Figure 2). The matching criteria for peptide identification in UNIFI was set with 15 ppm mass accuracy for a precursor and for greater than or equal to 3 fragment b or y ions to be found. For glycopeptides, criteria were relaxed to greater or equal to 1 fragment given that the predicted lability of glycosidic bonds results in the scarcity of peptide backbone cleavages. Ultimately, more than 90% of the previously reported N- and O-glycosites were successfully assigned. Signature N-glycopeptides were identified with high confidence, especially for the abundant oligomannose type N234 glycopeptide, which is implicated in the shielding of receptor binding sites (Figure 3). O-glycosylation at T323 was also confirmed in corroboration with a recent report.4 These data show the potential of BioAccord based peptide mapping workflow to map out the glycosylation sites/glycoforms for a complex recombinant glycoprotein. Future work with additional (different) enzyme treatment is likely to expand the coverage of information obtained from trypsin-based preparation.
Efficacious development of COVID-19 vaccines requires thorough analytical characterization of protein antigens. To induce desired levels of immunological response, it is critical for protein-based COVID-19 vaccine candidates to reflect the natural antigen structural features. To meet this analytical challenge associated with the novel coronavirus, we have applied an easy-to-use and streamlined peptide mapping workflow on the BioAccord System. Using the BioAccord, we have accurately and reproducibly confirmed sequence coverage and have started to profile PTMs of SARS-CoV-2 spike protein. The capabilities of this approach will allow glycosylation, oxidation, deamidation and clipping events to be monitored throughout process development and manufacturing stages.
720006909, May 2020