MétaCan
Menu
Back to cohort
Record W2238814703 · doi:10.4049/jimmunol.1502202

Molecular Analysis of Lipid-Reactive Vδ1 γδ T Cells Identified by CD1c Tetramers

2016· article· en· W2238814703 on OpenAlexaff
Sobhan Roy, Dalam Ly, Caitlin D. Castro, Nan‐Sheng Li, Andrew J. Hawk, John D. Altman, Stephen C. Meredith, Joseph A. Piccirilli, D. Branch Moody, Erin J. Adams

Bibliographic record

VenueThe Journal of Immunology · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity of Toronto
FundersNational Center for Advancing Translational SciencesNational Institute of Arthritis and Musculoskeletal and Skin DiseasesBill and Melinda Gates FoundationNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthNational Heart, Lung, and Blood Institute
KeywordsT-cell receptorCell biologyT cellBiologyLigand (biochemistry)CD11cChemistryBiochemistryReceptorPhenotypeGeneGeneticsImmune system

Abstract

fetched live from OpenAlex

CD1c is abundantly expressed on human dendritic cells (DC) and B cells, where it binds and displays lipid Ags to T cells. In this study, we report that CD1c tetramers carrying Mycobacterium tuberculosis phosphomycoketide bind γδ TCRs. An unbiased method of ligand-based TCR selection detects interactions only with Vδ1(+) TCRs, and mutational analyses demonstrate a role of the Vδ1 domain during recognition. These results strengthen evidence for a role of CD1c in the γδ T cell response, providing biophysical evidence for CD1c-γδ TCR interactions and a named foreign Ag. Surprisingly, TCRs also bind CD1c complexes formed with diverse lipids such as lysophosphatidylcholine, sulfatide, or mannosyl-phosophomycoketide, but not lipopeptide ligands. Dissection of TCR interactions with CD1c carrying foreign Ags, permissive ligands, and nonpermissive lipid ligands clarifies the molecular basis of the frequently observed but poorly understood phenomenon of mixed self- and foreign Ag reactivity in the CD1 system.

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)0.001
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 score0.020
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.221
Teacher spread0.216 · 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

Citations103
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of ImmunologySame topicImmune Cell Function and InteractionFrench-language works237,207