Cooperative Assembly and Misfolding of CFTR Domains In Vivo
Bibliographic record
Abstract
The cystic fibrosis transmembrane conductance regulator (CFTR) architecture consists of two membrane spanning domains (MSD1 and -2), two nucleotide binding domains (NBD1 and -2), and a regulatory (R) domain. Several point mutations lead to the channel misprocessing, with limited structural perturbation of the mutant domain. To gain more insight into the basis of CFTR folding defect, the contribution of domain-wise and cooperative domain folding was assessed by determining 1) the minimal domain combination that is recognized as native and can efficiently escape the endoplasmic reticulum (ER) retention and 2) the impact of mutation on the conformational coupling among domains. One-, two-, three-, and most of the four-domain assemblies were retained at the ER. Solubilization mutations, however, rescued the NBD1 processing defect conceivably by thermodynamic stabilization. The smallest folding unit that traversed the secretory pathway was composed of MSD1-NBD1-R-MSD2 as a linear or split polypeptide. Cystic fibrosis-causing missense mutations in the MSD1, NBD1, MSD2, and NBD2 caused conformational defect in multiple domains. We propose that cooperative posttranslational folding is required for domain stabilization and provides a plausible explanation for the global misfolding caused by point mutations dispersed along the full-length CFTR.
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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) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".