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Record W2890913457 · doi:10.1073/pnas.1722374115

Critical role for the Ly49 family of class I MHC receptors in adaptive natural killer cell responses

2018· article· en· W2890913457 on OpenAlexafffund
Andrew Wight, Ahmad Bakur Mahmoud, Michal Scur, Megan M. Tu, Mir Munir A. Rahim, Subash Sad, Andrew P. Makrigiannis

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity of OttawaDalhousie University
FundersCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchGovernment of Canada
KeywordsBiologyAcquired immune systemNatural killer cellInnate immune systemMHC class IImmunologyImmune systemMajor histocompatibility complexNatural killer T cellInnate lymphoid cellT cellCytotoxic T cellGenetics

Abstract

fetched live from OpenAlex

Adaptive natural killer (NK) cell memory represents a new frontier in immunology. Work over the last decade has discovered and confirmed the existence of NK cells with antigen-specific memories, which had previously been considered a unique property of T and B cells. These findings have shown that antigen-specific NK cells gain their specificity without the use of RAG proteins, representing a novel mechanism for generating antigen specificity, but the details of this mechanism have remained a mystery. We have discovered that members of the Ly49 family of surface receptors are critically involved in both the sensitization and the challenge phases of an NK cell memory response, as is antigen presentation from their binding partner, the class I MHC. Moreover, we demonstrate that the Ly49-interacting component of a presented antigen dictates the specificity of the NK cell memory response, implicating Ly49 receptors themselves in antigen-specific recognition. Finally, we demonstrate that adaptive NK cell memories can protect against an otherwise lethal melanoma without T cell or B cell support. These findings offer insight into the mechanism behind NK cell antigen specificity and demonstrate the clinical potential of this adaptive immune cell.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.308
Teacher spread0.272 · 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.

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

Citations37
Published2018
Admission routes2
Has abstractyes

Explore more

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