Unknown

Dataset Information

Glycopeptide Characterization of Sf9-Derived SARS-CoV-2 Spike Protein Recombinant Vaccine Candidates Expedited by the Use of Glycopeptide Libraries.


ABSTRACT:

Rationale

We report the N-glycosylation pattern of a Sf9 insect cell derived recombinant spike proteins being developed as candidate vaccine antigens for SARS-CoV-2 (COVID-19) (Sanofi). The method has been optimised to produce peptides with single, isolated glycosylation sites using multiple protease digests. The development and use of glycopeptide libraries from previous developmental phases allowed for faster analysis than processing data sets from individual batches from first principles.

Method

Purified spike proteins were reduced, alkylated, and digested with proteolytic enzymes. Three different protease digests were utilised to generate peptides with isolated glycosylation sites. The glycopeptides were then analysed using a Waters Q-TOF while using a data dependent acq

SUBMITTER: Miller RM 

PROVIDER: S-EPMC9877958 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets