MétaCan
Menu
← Back to cohort
Record W4379523207 · doi:10.1101/2023.06.03.543556

Engineered display of ganglioside-sugars on protein elicits a clonally and structurally constrained B cell response

2023· preprint· en· W4379523207 on OpenAlexaff
Lachlan P. Deimel, Xiaochao Xue, Aziz Khan, L. Moynié, Charles Buchanan, Guoxuan Sun, Ryan McBride, Heiko Schuster, Charles Gauthier, Regis Saliba, Karolis Leonavicus, Leanne Minall, Guillaume Bort, Rebecca A Russell, Erdinç Sezgin, James C. Paulson, Daniel C. Anthony, Andrew J. Baldwin, James H. Naismith, Torben Schiffner, Benjamin G. Davis, Quentin J. Sattentau

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsInstitut National de la Recherche Scientifique
FundersEngineering and Physical Sciences Research CouncilVetenskapsrådetRosetrees TrustEuropean CommissionUniversity of OxfordWellcome Trust
KeywordsGlycanAntigenBiologySomatic hypermutationGangliosideGermlineAntibodyGlycoconjugateGlycobiologyB cellComputational biologyBiochemistryGlycoproteinImmunologyGene

Abstract

fetched live from OpenAlex

Abstract Ganglioside sugars, as Tumour-Associated Carbohydrate Antigens (TACAs), are long-proposed targets for vaccination and therapeutic antibody production, but their self-like character imparts immunorecessive characteristics that classical vaccination approaches have to date failed to overcome. One prominent TACA, the glycan component of ganglioside GM3 (GM3g), is over-expressed on diverse tumours. To probe the limits of glycan tolerance, we used protein editing methods to display GM3g in systematically varied non-native presentation modes by attachment to carrier protein lysine sidechains using diverse chemical linkers. We report here that such presentation creates glycoconjugates that are strongly immunogenic in mice and elicit robust antigen-specific IgG responses specific to GM3g. Characterisation of this response by antigen-specific B cell cloning and phylogenetic and functional analyses suggests that such display enables the engagement of a highly restricted naïve B cell class with a defined germline configuration dominated by members of the IGHV2 subgroup. Strikingly, structural analysis reveals that glycan features appear to be recognised primarily by antibody CDRH1/2, and despite the presence of an antigen-specific Th response and B cell somatic hypermutation, we found no evidence of affinity maturation towards the antigen. Together these findings suggest a ‘reach-through’ model in which glycans, when displayed in non-self formats of sufficient distance from a conjugate backbone, may engage ‘glycan ready’ V-region motifs encoded in the germline. Structural constraints define why, despite engaging the trisaccharide, antibodies do not bind natively-presented glycans, such as when linked to lipid GM3. Our findings provide an explanation for the long-standing difficulties in raising antibodies reactive with native TACAs, and provide a possible template for rational vaccine design against this and other TACA antigens. Highlights GM3g synthetically coupled via a longer, orthogonal (from backbone) glycoconjugate (LOG) presentation format (thioethyl-lysyl-amidine) display elicits high-titre IgG responses in mice. The germinal centre experience of LOG glycoconjugate-specific B cell responses is directly influenced by the protein backbone. Structural characterisation of the antibody response to LOGs reveals highly restricted germline-encoded glycan-engaging motifs that mediate GM3g recognition. Failure of antibodies to bind the native trisaccharide highlights barriers to be overcome for the rational design of anti-TACA antibodies.

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicGlycosylation and Glycoproteins Research→French-language works237,207→