An advanced toolset to manipulate and monitor subcellular phosphatidylinositol 3,5-bisphosphate
Bibliographic record
Abstract
Phosphatidylinositol (PI) 3,5-bisphosphate (PI(3,5)P2) is a minor inositol-containing phospholipid that serves as an important regulator of endolysosomal functions. However, the precise sites of subcellular enrichment and molecular targets of this regulatory lipid are poorly understood. Here, we describe the generation and detailed characterization of a short engineered catalytic fragment of the human PIKfyve enzyme, which potently converts PI 3-phosphate to PI(3,5)P2. This novel tool allowed for the evaluation of reported PI(3,5)P2-sensitive biosensors and showed that the recently identified phox homology (PX) domain of the Dictyostelium discoideum (Dd) protein, SNXA, can be used to monitor the production of PI(3,5)P2 in live cells. Modification and adaptation of the DdSNXAPX-based probes into compartment-specific bioluminescence resonance energy transfer-based biosensors allows for the real-time monitoring of PI(3,5)P2 generation within the endocytic compartments of entire cell populations. Collectively, these molecular tools should allow for exciting new studies to better understand the cellular processes controlled by localized PI(3,5)P2 metabolism.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".