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Record W4412750677 · doi:10.1016/j.str.2025.07.006

Antibody-like recognition of a γδ T cell receptor toward a foreign antigen

2025· article· en· W4412750677 on OpenAlexaff
Liam Rashleigh, Hariprasad Venugopal, Michael T. Rice, Sachith D. Gunasinghe, Chhon Ling Sok, Nicholas A. Gherardin, Catarina F. Almeida, Ildiko Van Rhijn, D. Branch Moody, Dale I. Godfrey, Jamie Rossjohn, Benjamin S. Gully

Bibliographic record

VenueStructure · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsInstitute of Infection and Immunity
FundersNational Institutes of HealthAustralian Research CouncilFaculty of Medicine, Nursing and Health Sciences, Monash UniversityMonash UniversityNational Health and Medical Research CouncilAustralian Institute of Nuclear Science and Engineering
KeywordsT-cell receptorAntigenEpitopePhycoerythrinBiologyAntibodyT cellCell biologyMolecular biologyImmune systemImmunologyFlow cytometry

Abstract

fetched live from OpenAlex

The antigen recognition principles of B cells and αβ T cells have been well described compared to those of the γδ T cell. By way of their specificity conferring receptor (γδTCR), γδ T cells can directly bind proteinaceous antigens. A known γδ T cell and B cell model antigen is phycoerythrin (PE), a light harvesting protein from rhodophytes and cyanobacteria. Here we probed human γδTCR reactivity to PE, in which a Vδ1Vγ5 TCR bound directly to induce proximal signaling and cellular activation. We determined the cryoelectron microscopy (cryo-EM) structure of the γδTCR-phycoerythrin immune complex. We then determined the cryo-EM structures of an antibody fragment and an αβTCR bound to PE. This revealed convergent use of apical aromatic residues to mediate contacts with a common PE epitope. Comparative analyses of the γδTCR revealed multiple antibody-like characteristics, including an enrichment of apical aromatic residues. Our findings reveal further distinct facets of antigen recognition by the γδTCR.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.047
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

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