Modulation of <i>rpoH</i> Expression using an Antisense Strategy
Bibliographic record
Abstract
Hsp60 mediates invasion of HeLa cells, blocks organelle trafficking, and is the most abundant protein secreted into the phagosomes of host cells throughout the course of intracellular multiplication. In Escherichia coli the heat shock response is controlled by sigma factor 32 (RpoH) encoded by rpoH. Moreover, we do not know to what extent RpoH is either expressed or required for gene expression. In a study the authors focused on controlling levels of Hsp60 production by modulating expression of rpoH in order to evaluate the role of heat-shock protein (Hsp60) and the heat shock response in pathogenesis. The authors developed three strategies to alter rpoH expression: (i) construct an rpoH knockout mutant by allelic replacement; (ii) replace the endogenous rpoH promoter with an isopropyl- β-D-thio-galactopyranoside (IPTG)-inducible promoter; and (iii) to knock down levels of RpoH and HtpAB with antisense RNA. Either the rpoH gene is located in a dead zone for recombination or more likely the introduction of strong promoters into this locus causes constitutive expression of downstream genes associated with cell division (ftsYEX). Preliminary data presented in a report in this chapter suggest that antisense can be used to knock down protein expression levels in L. pneumophila.
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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) | 0.005 | 0.004 |
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".