Evidence map›Paper›PMID 41090251›Full record

ArticlemAbs2025

Computational analysis reveals non-consensus N-glycosylation sequons in antibody Fab region.

Baiyu Qiu, Edwin Chen, Tawnya Flick, Simon Letarte

Abstract read
In one paragraph

Article in mAbs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Baiyu QiuBiologics Pivotal Analytical Development, Gilead Sciences, Inc ., Oceanside, CA, USA.
Edwin ChenBiologics Pivotal Process Development, Gilead Sciences, Inc ., Oceanside, CA, USA.
Tawnya FlickBiologics Pivotal Analytical Development, Gilead Sciences, Inc ., Oceanside, CA, USA.
Simon LetarteBiologics Pivotal Analytical Development, Gilead Sciences, Inc ., Oceanside, CA, USA.ORCID 0000-0001-9131-0327

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein glycosylation at asparagine typically occurs at a consensus motif. However, recent studies have reported instances of N-glycosylation at non-consensus sites, though the mechanisms and implications of these atypical modifications remain unclear. In this study, we identified novel non-consensus N-glycosylation motifs with low glycosylation occupancy in the Fab region of human antibodies. We developed a computational workflow to predict the interaction between non-consensus peptides and the eukaryotic oligosaccharyltransferase (OST) complex. This model was validated through site-directed mutagenesis around the asparagine residue and glycosylation quantification via mass spectrometry. Our results show that glycan occupancy at non-consensus sites can be modulated by mutations that influence OST binding affinity. Pharmacological inhibition of OST activity reduced non-consensus and consensus glycosylation in both Fab and Fc regions. Additionally, we identified new non-consensus glycosylation sites in natural human antibodies, revealing the sequence preferences governing these modifications. These findings provide mechanistic insights into OST sequence specificity and establish a computational and analytical framework for assessing atypical N-glycosylation, aiding glycan profile control in therapeutic antibody development.

Indexed as

HexosyltransferasesImmunoglobulin Fab FragmentsComputational BiologyGlycosylationHumansMembrane ProteinsMutagenesis, Site-DirectedHexosyltransferasesImmunoglobulin Fab FragmentsMembrane ProteinsAntibody structurefab glycosylationglycan analysisintravenous immunoglobulinmass spectrometrynon-consensus N-glycosylationoligosaccharyltransferasepeptide docking

Identifiers

PMID41090251
PMCPMC12530493

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.