The Yeast Split-Ubiquitin Membrane Protein Two-Hybrid Screen Identifies BAP31 as a Regulator of the Turnover of Endoplasmic Reticulum-Associated Protein Tyrosine Phosphatase-Like B
Bibliographic record
Abstract
In the past decade, traditional yeast two-hybrid techniques have identified a plethora of interactions among soluble proteins operating within diverse cellular pathways. The discovery of associations between membrane proteins by genetic approaches, on the other hand, is less well established due to technical limitations. Recently, a split-ubiquitin system was developed to overcome this barrier, but so far, this system has been limited to the analysis of known membrane protein interactions. Here, we constructed unique split-ubiquitin-linked cDNA libraries and provide details for implementing this system to screen for binding partners of a bait protein, in this case BAP31. BAP31 is a resident integral protein of the endoplasmic reticulum, where it operates as a chaperone or cargo receptor and regulator of apoptosis. Here we describe a novel human member of the protein tyrosine phosphatase-like B (PTPLB) family, an integral protein of the endoplasmic reticulum membrane with four membrane-spanning alpha helices, as a BAP31-interacting protein. PTPLB turns over rapidly through degradation by the proteasome system. Comparisons of mouse cells with a deletion of Bap31 or reconstituted with human BAP31 indicate that BAP31 is required to maintain PTPLB, consistent with a chaperone or quality control function for BAP31 in the endoplasmic reticulum membrane.
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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) | 0.001 | 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".