Growth temperature associated protein expression and membrane fatty acid composition profiles of <i>Salmonella enterica</i> serovar Typhimurium
Bibliographic record
Abstract
Total cellular proteins and fatty acid composition profiles of mid-log phase cells of Salmonella enterica serovar Typhimurium grown at 8, 25, 37 or 42 °C were separated by 2D-PAGE and FAME analysis. Growth temperature associated protein expression can be grouped into 3 thermal classes which include proteins whose expression is: I) optimal at 37 °C, meaning their expression peaked at 37 °C; II) up-regulated with an increase in growth temperature; III) down-regulated with increase in growth temperature; meaning their expression peaked at 8 °C. At higher growth temperatures, proteins belonging to the functional groups of amino acid transport and metabolism, nucleotide metabolism, energy metabolism and post-translation modifications (chaperones) are present in substantially higher amounts. This increase in abundance is regulated in a temperature dependent manner. It is important to point out that proteins involved in energy metabolism observed in higher amounts at higher growth temperatures all belong to the glycolysis pathway, while at 8 °C they belonged to the TCA cycle. Increase in growth temperatures results in a decrease in membrane fatty acid unsaturation and an increase in saturated and cyclic fatty acids. These results provide an insight into the dynamic molecular and physiological responses of Salmonella Typhimurium during growth at different temperatures.
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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 | 0.000 |
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".