Localization of the histidine kinase PilS to the poles of <i>Pseudomonas aeruginosa</i> and identification of a localization domain
Bibliographic record
Abstract
Transcription of the type IV pilus subunit gene of Pseudomonas aeruginosa is controlled by a two-component signal transduction system. PilS, the histidine kinase, is membrane bound and PilR, its cognate response regulator, is cytoplasmic. The signal that activates PilS is unknown. PilS has three domains: (i) The N-terminus, predicted to form six transmembrane (TM) helices; (ii) a central linker domain; and (iii) the C-terminal transmitter domain containing all the conserved residues of sensor kinases. A translational fusion of the gfp gene (green fluorescent protein) to the 3' end of pilS was used to determine the position of PilS in the bacterial cell. Epifluorescence microscopy revealed that PilS is retained to the poles of P. aeruginosa but is distributed evenly about the membrane of Escherichia coli. Deletions of the PilS-GFP fusion revealed that the TM domain was sufficient and necessary to bring GFP to the membrane of P. aeruginosa and E. coli but was not sufficient to confine GFP to the poles. Retention to the poles of P. aeruginosa required both the TM and linker domains. Replacement of the PilS TM domain with an E. coli membrane protein, MalG, still allowed polar localization. Therefore, the PilS TM domain positions the linker domain close to the membrane allowing it to interact with the putative polar anchor which is specific to P. aeruginosa.
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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 | 0.001 |
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".