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Record W1594508270 · doi:10.1002/eji.201343986

Vasostatin‐1 antigenic epitope mapping for induction of cellular and humoral immune responses to chromogranin <scp>A</scp> autoantigen in <scp>NOD</scp> mice

2014· article· en· W1594508270 on OpenAlexafffund
Enayat Nikoopour, Rebecca Cheung, Stacey Bellemore, Olga Krougly, Edwin Lee‐Chan, Mats Stridsberg, Bhagirath Singh

Bibliographic record

VenueEuropean Journal of Immunology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsChromogranin AEpitopeBiologyNodAntibodyImmune systemAntigenMolecular biologyImmunologyImmunohistochemistryBiochemistryGene

Abstract

fetched live from OpenAlex

The chromogranin A (ChgA) 29-42 sequence is the antigenic epitope for the BDC2.5 CD4(+) T-cell receptor in NOD mice (H-2(g7) ). We have now characterized the binding register of the ChgA 29-42 peptide for the I-A(g7) molecule. Truncation of the peptide demonstrated that the KCVLEVISD sequence 34-42 is the binding register and extension of this sequence by flanking residues increased its binding affinity and antigenic capacity. We employed anti-ChgA peptide antibodies generated against different fragments of ChgA for immunostaining of pancreatic islet sections from NOD mice. A strong immuno-staining pattern was observed for the ChgA 17-38 peptide antibodies that overlap with the ChgA 29-42 sequence. Moreover, sera from diabetic NOD mice showed elevated titers of autoantibodies to the ChgA 29-42 peptide. These findings indicate that peptides from the N-terminal region of ChgA are able to induce cellular and humoral immune responses in NOD mice.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.207
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 integrity0.0000.000
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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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

Citations9
Published2014
Admission routes2
Has abstractyes

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