Design and Synthesis of Phospholipase C and A<sub>2</sub>-Activatable Near-Infrared Fluorescent Smart Probes
Bibliographic record
Abstract
The primary focus of this work was to develop activatable probes suitable for in vivo detection of phospholipase activity. Phospholipases (PLs) are ubiquitous enzymes that perform a number of critical regulatory functions. They catalyze phospholipid breakdown and are categorized as A(1), A(2) (PLA(2)), C (PLC), and D (PLD) based on their site of action. Here, we report the design, synthesis, and characterization of self-quenching reporter probes that release fluorescent moieties upon cleavage with PLA(2) or PLC. A series of phospholipids were synthesized bearing the NIR fluorophore pyropheophorbide a (Pyro) at the sn-2 position. Fluorescence quenching was achieved by attachment of either a positively charged black hole quencher-3 (BHQ-3) to the phospholipid headgroup or another neutral Pyro moiety at the sn-1 position. The specificity to different phospholipases was modulated by insertion of spacers (C(6), C(12)) between Pyro and the lipid backbone. The specificity of the quenched fluorescent phospholipids was assayed on a plate reader against a number of phospholipases and compared with two commercial probes bearing the visible fluorophore BODIPY. While PyroC(6)-PyroC(6)-PtdCho revealed significant background fluorescence, and a 10% fluorescence increase under the action of PLA(2), Pyro-PtdEtn-BHQ demonstrated high selective sensitivity to PLC, particularly to the PC-PLC isoform, and its sensitivity to PLA(2) was negligible due to steric hindrance at the sn-2 position. In contrast, the C(12)-spacered PyroC(12)-PtdEtn-BHQ demonstrated a remarkable selectivity for PLA(2) and the best relative PLA(2)/PLC sensitivity, significantly outperforming previously known probes. These results open an avenue for future in vivo experiments and for new probes to detect PL activity.
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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 | 0.000 | 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) | 0.000 | 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".