YibN, a bona fide interactor of the bacterial YidC insertase with effects on membrane protein insertion and membrane lipid production
Bibliographic record
Abstract
YidC, a prominent member of the Oxa1 superfamily, is essential for the biogenesis of the bacterial inner membrane, significantly influencing its protein composition and lipid organization. It interacts with the Sec translocon, aiding the proper folding of multi-pass membrane proteins. It also functions independently, serving as an insertase and lipid scramblase, augmenting the insertion of smaller membrane proteins while contributing to the organization of the bilayer. Despite the wealth of structural and biochemical data available, how YidC operates remains unclear. To investigate this, we employed proximity-dependent biotin labeling (BioID) in Escherichia coli, leading to the identification of YibN as a crucial component within the YidC protein environment. We then demonstrated the association between YidC and YibN by affinity purification-mass spectrometry assays conducted on native membranes, with further confirmation using on-gel binding assays with purified proteins. Co-expression studies and in vitro assays indicated that YibN enhances the production and membrane insertion of YidC substrates, such as M13 and Pf3 phage coat proteins, ATP synthase subunit c, and various small membrane proteins like SecG. Additionally, the overproduction of YibN was found to stimulate membrane lipid production and promote inner membrane proliferation, perhaps by interfering with YidC lipid scramblase activity. Consequently, YibN emerges as a significant physical and functional interactor of YidC, influencing membrane protein insertion and lipid organization.
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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".