Requirement for TRanslocon-Associated Protein (TRAP) α in insulin biogenesis
Bibliographic record
Abstract
The mechanistic basis for the biogenesis of peptide hormones and growth factors is poorly understood. Here we show that the conserved endoplasmic reticulum (ER) membrane translocon-associated protein (TRAP) α, also known as signal sequence receptor 1 (SSR1) 1 , plays a critical role in the biosynthesis of insulin. A genetic screen in the nematode Caenorhabditis elegans revealed trap-1 , which encodes the C. elegans TRAPα ortholog, as a modifier of DAF-2 insulin receptor (InsR) signaling. Genetic analysis indicates that TRAP-1 acts upstream of DAF-2/InsR to control C. elegans development. Endogenous C. elegans TRAP-1 and mammalian TRAPα both localized to the ER. In pancreatic beta cells, TRAPα deletion impaired preproinsulin translocation but did not affect the synthesis of α 1 -antitrypsin, indicating that TRAPα selectively influences the translocation of a subset of secreted proteins. Surprisingly, loss of TRAPα function also resulted in disruption of distal steps in insulin biogenesis including proinsulin processing and secretion. These results show that TRAPα assists in the ER translocation of preproinsulin and unveil unanticipated additional consequences of TRAPα loss-of-function on the intracellular trafficking and maturation of proinsulin. The association of common intronic single nucleotide variants in the human TRAPα gene with susceptibility to Type 2 diabetes and pancreatic beta cell dysfunction 2 suggests that impairment of preproinsulin translocation and proinsulin trafficking may contribute to the pathogenesis of Type 2 diabetes.
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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 | 0.000 |
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".