Exploring the Interactome of PML nuclear subdomains during fatty acid stress using APEX2-mediated proximity labeling
Bibliographic record
Abstract
ABSTRACT When exposed to excess fatty acids, specific cell types produce nuclear lipid droplets (nLDs) that associate with promyelocytic leukemia (PML) protein to form L ipid A ssociated P ML S tructures (LAPS) that are enriched in lipid biosynthetic enzymes but deficient in canonical proteins associated with PML nuclear bodies (PML NBs). To identify the PML interactome during lipid stress, we employed proximity-dependent biotin identification (BioID) in U2OS cells expressing PMLI and PMLII fused to the ascorbate peroxidase APEX2 and cultured in the absence or presence of oleate to enhance lipid droplet formation. The resulting interactome included proteins enriched under oleate-treated conditions, such mitogen activated protein kinase-activated protein kinase 2 (MK2), ESCRT proteins and the COPII vesicle transport proteins Sec23B, Sec24A and USO1. COPII proteins co-localized with both PML-NBs and LAPS but were selectively enriched in PML-NBs following oleate treatment. The nuclear localization of USO1 was uniquely dependent on PML expression. Thus, the APEX2-PML proximity interactome implicates PML domains in the nuclear function of a non-canonical network of COPII vesicle trafficking proteins. SUMMARY STATEMENT This is the first study to utilize APEX2 proximity labelling to identify the protein interactome of PML nuclear substructures and how interactions are modified under conditions of fatty acid-induced stress.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".