Impact of Low-Intensity Pulsed Ultrasound on Transcript and Metabolite Abundance in <i>Saccharomyces cerevisiae</i>
Bibliographic record
Abstract
The interactions of ultrasound with biological materials are exploited for diagnostic, interventional, and therapeutic applications in humans and can improve productivity in industrial-scale generation of organic molecules such as biofuels, vaccines, and antibodies. Accordingly, there is great interest in better understanding the biological effects of ultrasound. We studied the impact of low-intensity pulsed ultrasound (LIPUS) on RNA expression and metabolism of S. cerevisiae. Although the transcript expression signature of LIPUS-treated cells does not differ significantly from that of untreated cells after 5 days, metabolomic profiling by chemical-isotopic-labeling-liquid-chromatography-mass-spectrometry suggests that LIPUS has an impact on the pathways of pyrimidine, proline, alanine, aspartate, glutamate, and arginine metabolism. Therefore, LIPUS triggers metabolic effects beyond reprogramming of the core pathways of carbon metabolism. Further characterization of metabolism will likely be important for elucidation of the biological effects of LIPUS.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".