Dataset Information

O-linked Glycosylation of the SARS-CoV-2 Spike is Suppressed by Quaternary Structural Restraints

ABSTRACT: Understanding the glycosylation of envelope spike (S) protein of SARS-CoV-2 is important in defining the antigenic surface of this key viral target. However, the underlying protein architecture may significantly influence glycan occupancy and processing. There is, therefore, potential for different recombinant fragments of S protein to display divergent glycosylation. Here, we show that the receptor binding domain (RBD), when expressed as a monomer, exhibits O-linked glycosylation which is not recapitulated in the native-like soluble trimeric protein. We unambiguously assign O-linked glycosylation by homogenizing N-linked glycosylation using the enzymatic inhibitor, kifunensine, and then analyzing the resulting structures by electron transfer higher-energy collision dissociation (EThcD) in an Orbitrap Eclipse Tribrid instrument. In the native-like trimer, we observe a single unambiguous O-linked glycan at T323 which displays very low occupancy. In contrast, several sites of O-linked glycosylation can be identified when RBD is expressed as a monomer, with T323 being almost completely occupied. We ascribe this effect to the relaxation of steric restraints arising from quaternary protein architecture. Our analytical approach has also highlighted that fragmentation ions arising from trace levels of truncated N-linked glycans can be misassigned as proximal putative O-linked structures, particularly where a paucity of diagnostic fragments were obtained. Overall, we and show that in matched expression systems quaternary protein architecture limits O-linked glycosylation of the spike protein.

INSTRUMENT(S): Orbitrap Eclipse

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Max Crispin

PROVIDER: MSV000087897 | MassIVE | Wed Jul 28 07:18:00 BST 2021

REPOSITORIES: MassIVE

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Various cancers such as colorectal cancer (CRC) are associated with alterations in protein glycosylation. CRC cell lines are frequently used to study these (glyco)biological changes and their mechanisms. However, differences between CRC cell lines with regard to their glycosylation have hitherto been largely neglected. Here, we comprehensively characterized the N-glycan profiles of 25 different CRC cell lines, derived from primary tumors and metastatic sites, in order to investigate their potential as glycobiological tumor model systems and to reveal glycans associated with cell line phenotypes. We applied an optimized, high-throughput membrane-based enzymatic glycan release for small sample amounts. Released glycans were derivatized to stabilize and differentiate between a2,3- and a2,6-linked N-acetylneuraminic acids, followed by N-glycosylation analysis by MALDI-TOF(/TOF)-MS. Our results showed pronounced differences between the N-glycosylation patterns of CRC cell lines. CRC cell line profiles differed from tissue-derived N-glycan profiles with regard to their high-mannose N-glycan content but showed a large overlap for complex type N-glycans, supporting their use as a glycobiological cancer model system. Importantly, we could show that the high-mannose N-glycans did not only occur as intracellular precursors but were also present at the cell surface. The obtained CRC cell line N-glycan features were not clearly correlated with mRNA expression levels of glycosyltransferases, demonstrating the usefulness of performing the structural analysis of glycans. Finally, correlation of CRC cell line glycosylation features with cancer cell markers and phenotypes revealed an association between highly fucosylated glycans and CDX1 and/or villin mRNA expression that both correlate with cell differentiation. Together, our findings provide new insights into CRC-associated glycan changes and setting the basis for more in-depth experiments on glycan function and regulation.

Dataset Information

O-linked Glycosylation of the SARS-CoV-2 Spike is Suppressed by Quaternary Structural Restraints

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets