Bibliographic record
Abstract
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is a genetic disease causing numerous renal cysts to form leading to adult renal failure. The PKD-causing genes, polycystic kidney disease-1 and -2 (PKD1 and PKD2), encode for proteins polycystin-1 and -2 (PC1 and PC2). These proteins form a complex through their C-termini at cilia with mutations abolishing their interaction and impairing ciliary localization. We report the first use of proximity-dependent biotinylation for identification (BioID) to characterize the PC1 PC2 C-terminal complex binding partners in HEK 293 cells. We identify high- confidence interacting partners including an enrichment of cilia-related, transporter activity and trafficking genes. We report interesting PC1 interactions including Biogenesis of Lysosome-Related Organelles Complex-1 (BLOC-1) subunits and BLOC-One-Related Complex (BORC) subunits. We also report endoplasmic reticulum (ER)-related proteins that likely contribute to PC2 ER localization and function. Overall, this research hopes to contribute information to how PC1 and PC2 traffic and function at cilia.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.014 |
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".