Whole transcriptome sequencing analysis of the effect of high hydrostatic pressure on Escherichia coli O157:H7
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
High hydrostatic pressure (HHP) is a widely accepted nonthermal technology for ensuring food safety without compromising nutritional values and organoleptic properties. This study investigated the survival and molecular responses of Escherichia coli O157:H7 when it was subjected to HHP. The inactivation of E. coli O157:H7 by HHP was observed at 250 MPa and higher pressures (p < 0.05), but not at 50 MPa and 150 MPa. Whole transcriptome sequencing (RNA-seq) revealed the underlying adaptive responses of E. coli O157:H7 induced by the slightly elevated pressure. Under 50 MPa HHP, twenty-two genes were differentially expressed, and seventeen of these genes were upregulated to maintain normal cell functions. In comparison, most of the differentially expressed genes were downregulated with higher HHP (150 MPa and 250 MPa) treatment, indicating impaired cellular activities. The effectiveness of HHP-based bacterial cell inactivation demonstrated a pressure-dependent manner. Appropriate HHP levels used in bacterial inactivation should be carefully determined for eliminating pathogenic E. coli without induction of the resistance of the food-processing-related stresses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it