PIKfyve influences inter-organelle contacts with lysosomes to modulate the endoplasmic reticulum
Bibliographic record
Abstract
Summary Lysosomes clear unwanted cellular material delivered by constant membrane fusion. Membrane fission is thus required to balance lysosome size, number, and composition. PIKfyve is a lipid kinase that converts phosphatidylinositol-3-phosphate [PtdIns(3)P] to phosphatidylinositol-3,5-bisphosphate [PtdIns(3,5)P 2 ] and promotes lysosome fission since lysosomes coalesce into larger, but fewer organelles in its absence. Here, we reveal a role for PIKfyve in regulating endoplasmic reticulum (ER) dynamics. We show the ER is less reticulated and motile in cells inhibited for PIKfyve. Partly, this arises because lysosomes cluster perinuclearly and are less motile, which appears to arrest ER hitchhiking, a process in which lysosomes pull and form ER tubules. Secondly, the ER morphology is distorted because of hyper-tethering of protrudin, an ER transmembrane protein, to lysosomes via excess PtdIns(3)P and protrudin’s FYVE domain. Our findings reveal that PIKfyve balances phosphoinositides at ER-lysosome contact sites to govern ER properties and have significant implications for our understanding of PIKfyve function and of diseases linked to its dysfunction. Summary Long associated with the regulation of the endolysosomal pathway, the authors show that the PIKfyve lipid kinase extends its sphere of influence to modulate the architecture and dynamics of the endoplasmic reticulum by balancing phosphoinositide species at their inter-organellar sites.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".