Proteolytic Processing Is Not Essential for Multiple Functions of the <i>Escherichia coli</i> Autotransporter Adhesin Involved in Diffuse Adherence (AIDA-I)
Bibliographic record
Abstract
The Escherichia coli adhesin involved in diffuse adherence (AIDA-I), like many other autotransporter proteins, is released in the periplasm as a proprotein undergoing proteolytic processing after its translocation across the outer membrane. The proprotein is cleaved into a membrane-embedded fragment, AIDAc, and an extracellular fragment, the mature AIDA-I adhesin. The latter remains noncovalently associated with the outer membrane and can be released by heat treatment. The mechanism of cleavage of the proprotein and its role in the functionality of AIDA-I are not understood. Here, we show that cleavage is independent of the amount of AIDA-I in the outer membrane, suggesting an intramolecular autoproteolytic mechanism or a cleavage mediated by an unknown protease. We show that the two fragments, mature AIDA-I and AIDAc, can be cosolubilized and copurified in a folded and active conformation. We observed that the release by heat treatment results from the unfolding of AIDA-I and that the interaction of AIDA-I with AIDAc seems to be disturbed only by denaturation. We constructed an uncleavable point mutant of AIDA-I, where a serine of the cleavage site was changed into a leucine, and showed that adhesion, autoaggregation, and biofilm formation mediated by the mutant are indistinguishable from the wild-type levels. Lastly, we show that both proteins can mediate the invasion of cultured epithelial cells. Taken together, our experiments suggest that the proteolytic processing of AIDA-I plays a minor role in the functionality of this protein.
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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 | 0.001 |
| 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".