Identification of prion protein binding proteins by combined use of far‐Western immunoblotting, two dimensional gel electrophoresis and mass spectrometry
Bibliographic record
Abstract
The cellular prion protein (PrP(C)), a highly conserved glycoprotein predominantly expressed by neuronal cells, can convert into an abnormal isoform (PrP(Sc)) and provoke a transmissible spongiform encephalopathy. In spite of many studies, the physiological function of PrP(C) remains unknown. Recent findings suggest that PrP(C) is a multifunctional protein participating in several cellular processes. Using recombinant human PrP as a probe, we performed far-Western immunoblotting (protein overlay assay) to detect cellular PrP(C) interactors. Brain extracts of wild-type and PrP knockout mice were screened by far-Western immunoblotting for PrP-specific interactions. Subsequently, putative ligands were isolated by 2-DE and identified by MALDI-TOF MS, enabling identification of heterogeneous nuclear ribonucleoprotein A2/B1 and aldolase C as novel interaction partners of PrP(C). These data provide the first evidence of a molecule indicating a mechanism for the predicted involvement of PrP(C) in nucleic acid metabolisms. In summary, we have shown the successful combination of 2-DE with far-Western immunoblotting and MALDI-TOF MS for identification of new cellular binding partners of a known protein. Especially the application of this technique to investigate other neurodegenerative diseases is promising.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".