Immunological mimicry of PrPC-PrPSc interactions: antibody-induced PrP misfolding
Bibliographic record
Abstract
Prion diseases are associated with the conversion of cellular prion protein (PrP(C)) to an abnormal protease-resistant conformational isoform (PrP(Sc)) by template-directed conversion. The interaction between PrP(C) and PrP(Sc) is mediated by specific sites which have been mapped to six putative 'binding and conversion domains' (PrP-BCD) through peptide and antibody competition studies. Monoclonal antibodies (mAbs) directed against the bityrosine motif Tyr-Tyr-Arg (YYR) specifically recognize PrP(Sc) and other misfolded PrP species. Here, we report that select bead-bound PrP-BCD mAbs induce exposure of bityrosine epitopes on mouse brain PrP. By competition immunoprecipitation, we show that PrP-BCD mAb-induced bityrosine exposure occurs at alpha-helices 1 and 3. However, PrP-BCD mAb-induced PrP(C) misfolding is not accompanied by beta-sheet dissociation, a key event in PrP(C) conversion to PrP(Sc), and is not associated with acquisition of protease resistance, or the capacity to recruit additional molecules of PrP. Our data suggest that mAb mimics of the physical interaction of PrP(C) with PrP(Sc) can induce unfolding of specific PrP domains, but that subsequent processes (including the energetically unfavorable beta-sheet dissociation) effect isoform conversion in prion disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".