<i>In vivo</i> and <i>in vitro</i> studies of <i>Chlamydia trachomatis</i> TrpR:DNA interactions
Bibliographic record
Abstract
We previously reported that Chlamydia trachomatis expresses the genes encoding tryptophan synthase (trpBA) and the tryptophan repressor (trpR). Here we employ primer extension analysis to identify the transcriptional origins of both trpR and trpBA, allowing for the identification of the putative operator sequences for both trpR and trpBA. Moreover we demonstrate that native recombinant chlamydial TrpR binds to the predicted operator sequence upstream of trpR. A restriction endonuclease protection assay was designed and used to demonstrate that 5-fluorotryptophan was the only tryptophan analogue capable of activating binding of native recombinant chlamydial TrpR to its operator. Additionally, 5-fluorotryptophan was the only analogue that repressed expression of trpBA at a level analogous to L-tryptophan itself. Based on these findings, a mutant selection protocol was designed and a C. trachomatis isolate containing a frameshift mutation in trpR was isolated. This chlamydial mutant synthesizes a truncated TrpR protein that cannot regulate expression of trpBA and trpR in response to changes in tryptophan levels. These findings provide the first genetic proof that TrpR acts as a negative regulator of transcription in C. trachomatis.
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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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".