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Record W4399995651 · doi:10.1101/2024.06.24.600376

Cellular sialoglycans are differentially required for endosomal and cell-surface entry of SARS-CoV-2

2024· preprint· en· W4399995651 on OpenAlexaff
Kimberley C. Siwak, Emmanuelle V. LeBlanc, Heidi M. Scott, Youjin Kim, Isabella Pellizzari-Delano, Alice M. Ball, Nigel Temperton, Chantelle J. Capicciotti, Che C. Colpitts

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsEndosomeViral entryCell biologyEndocytic cycleSialic acidLipid bilayer fusionBiologyTransmembrane proteinReceptorGlycoproteinCellN-Acetylneuraminic acidEndocytosisBiochemistryVirologyVirusIntracellularViral replication

Abstract

fetched live from OpenAlex

Abstract Cell entry of severe acute respiratory coronavirus-2 (SARS-CoV-2) and other CoVs can occur via two distinct routes. Following receptor binding by the spike glycoprotein, membrane fusion can be triggered by spike cleavage either at the cell surface in a transmembrane serine protease 2 (TMPRSS2)-dependent manner or within endosomes in a cathepsin-dependent manner. Cellular sialoglycans have been proposed to aid in CoV attachment and entry, although their functional contributions to each entry pathway are unknown. In this study, we used genetic and enzymatic approaches to deplete sialic acid from cell surfaces and compared the requirement for sialoglycans during endosomal and cell-surface CoV entry, primarily using lentiviral particles pseudotyped with the spike proteins of different sarbecoviruses. We show that entry of SARS-CoV-1, WIV1-CoV and WIV16-CoV, like the SARS-CoV-2 omicron variant, depends on endosomal cathepsins and requires cellular sialoglycans for entry. Ancestral SARS-CoV-2 and the delta variant can use either pathway for entry, but only require sialic acid for endosomal entry in cells lacking TMPRSS2. Binding of SARS-CoV-2 spike protein to cells did not require sialic acid, nor was sialic acid required for SARS-CoV-2 entry in TMRPSS2-expressing cells. These findings suggest that cellular sialoglycans are not strictly required for SARS-CoV-2 attachment, receptor binding or fusion, but rather promote endocytic entry of SARS-CoV-2 and related sarbecoviruses. In contrast, the requirement for sialic acid during entry of MERS-CoV pseudoparticles and authentic HCoV-OC43 was not affected by TMPRSS2 expression, consistent with a described role for sialic acid in merbecovirus and embecovirus cell attachment. Overall, these findings clarify the role of sialoglycans in SARS-CoV-2 entry and suggest that cellular sialoglycans mediate endosomal, but not cell-surface, SARS-CoV-2 entry. Thus, it may be important to consider both cell entry pathways when developing sarbecovirus entry inhibitors targeting virus-sialoglycan interactions. Author summary The COVID-19 pandemic, caused by SARS-CoV-2, has resulted in over 676 million infections and 6.8 million deaths so far, demonstrating the threat posed by emerging CoVs. In humans, SARS-CoV-2 and related coronaviruses cause respiratory tract infections, such as the common cold, as well as more severe disease in some individuals. To prepare for future outbreaks, conserved steps in the CoV replication could be considered for antiviral prophylactic or therapeutic approaches. One such process is CoV cell entry, which occurs via two main routes: At the cell surface or within endosomes. Cellular receptors, proteases and complex sugars, known as glycans, mediate CoV entry steps. In this study, we compared the role of a specific glycan subset, sialoglycans, in endosomal and cell surface CoV entry. We show that sialoglycans are required for entry of various CoVs that are mainly dependent on the endosomal route, but in the case of SARS-CoV-2, sialoglycans were not required when the cell-surface entry route was available. Our findings contribute to understanding the mechanisms of CoV entry, which could inform development of pan-CoV antivirals that target CoV entry steps.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.284
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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