A Fluorogenic Hydrazino‐Pictet–Spengler Reaction in Live Cells
Bibliographic record
Abstract
Lipid peroxidation generates diverse aldehydic lipids associated with oxidative stress and signaling, yet methodologies capable of their detection in live cells are currently lacking. Here, we report a fluorogenic hydrazino-Pictet-Spengler (HIPS) probe for lipidic aldehydes "FLipA-HIPS" that generates bright, wash-free fluorescent reaction products in vitro and in cellulo. FLipA-HIPS is essentially nonfluorescent but reacts with aldehydes to give an environmentally sensitive fluorophore with a higher quantum yield in SDS micelles as compared to aqueous buffer alone. FLipA-HIPS reacts with lipidic aldehydes to give 10- to 25-fold higher fluorescence intensities than reactions containing either short-chain aliphatic or aromatic aldehydes in aqueous buffer. Confocal microscopy shows that live cells pretreated with potassium bromate or the aldehydic phospholipid "POVPC" display rapid and selective FLipA-HIPS staining that co-localizes with the endoplasmic reticulum (ER), consistent with the ER's known role in accumulating lipidic aldehydes. These results demonstrate that HIPS reactions can exhibit useful fluorogenic properties for aldehyde biosensing applications in live cells.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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".