High-throughput approaches to investigate neutral lipid biosynthesis
Bibliographic record
Abstract
Abstract: Neutral lipids are ubiquitously found in nature, serving primarily as energy storage compounds. The ability to control the rate of neutral lipid bioassembly is of particular interest in numerous applications. For example, restriction of triacylglycerol and steryl ester synthesis in mammals could serve as adjuvant therapies against important diseases. In oilseeds, a boost in triacylglycerol accumulation would have a great impact in agriculture. Developing mechanisms to regulate neutral lipids synthesis requires rather specialized experimental designs where highthroughput screening approaches could be applied. Here we describe several enzyme targets that catalyze the bioassembly of neutral lipids, and potential applications for mechanisms that regulate their activity. We also describe different biochemical and cell-based assays to detect neutral lipid biosynthesis that are compatible with high-throughput formats. Several examples of established and prospective applications for these assays are discussed. Keywords: neutral lipids, lipotoxicity, Nile red, scintillation proximity assay
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".