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Record W1547018200 · doi:10.4049/jimmunol.174.6.3306

Identification of Stimulating and Inhibitory Epitopes within the Heat Shock Protein 70 Molecule That Modulate Cytokine Production and Maturation of Dendritic Cells

2005· article· en· W1547018200 on OpenAlexaff
Yufei Wang, Trevor Whittall, Edward McGowan, Justine Younson, Charles Kelly, Lesley A. Bergmeier, Mahavir Singh, Thomas Lehner

Bibliographic record

VenueThe Journal of Immunology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsSt. Thomas Hospital
FundersEuropean Commission
KeywordsEpitopeCytokineHeat shock proteinCell biologyChemokineBiologyImmune systemPeptideHsp70CD40ChemistryMolecular biologyAntigenBiochemistryCytotoxic T cellImmunologyIn vitroGene

Abstract

fetched live from OpenAlex

The 70-kDa microbial heat shock protein (mHSP70) has a profound effect on the immune system, interacting with the CD40 receptor on DC and monocytes to produce cytokines and chemokines. The mHSP70 also induces maturation of dendritic cells (DC) and thus acts as an alternative ligand to CD40L on T cells. In this investigation, we have identified a cytokine-stimulating epitope (peptide 407-426), by activating DC with overlapping synthetic peptides (20-mers) derived from the sequence of mHSP70. This peptide also significantly enhances maturation of DC stimulated by mHSP70 or CD40L. The epitope is located at the base of the peptide-binding groove of HSP70 and has five critical residues. Furthermore, an inhibitory epitope (p457-496) was identified downstream from the peptide-binding groove that inhibits cytokine production and maturation of DC stimulated by HSP70 or CD40L. The p38 MAP kinase phosphorylation is critical in the alternative CD40-HSP70 pathway and is inhibited by p457-496 but enhanced by p407-426.

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 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 score0.005
Threshold uncertainty score0.203

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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

Citations124
Published2005
Admission routes1
Has abstractyes

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