ESYT1 tethers the endoplasmic reticulum to mitochondria and is required for mitochondrial lipid and calcium homeostasis
Bibliographic record
Abstract
SUMMARY Mitochondria interact with the endoplasmic reticulum (ER) at structurally and functionally specialized membrane contact sites known as mitochondria-ER contact sites (MERCs). MERCs are crucial for a myriad of physiological functions including lipid synthesis and transport, and calcium signaling. Alterations in the structure, composition or regulation of MERCs contribute to the aetiology of many pathologies including neurodegenerative and metabolic diseases. The proteins mediating the formation of MERCs have been extensively studied in yeast, where the ER-mitochondria encounter structure (ERMES) complex mediates the transport of lipids between the ER and mitochondria via three lipid binding SMP-domain proteins. However, none of the SMP proteins of the ERMES complex have orthologues in mammals suggesting that alternate pathways have evolved in metazoans. Combining proximity labelling (BioID), confocal microscopy and subcellular fractionation, we found that the ER resident SMP-domain containing protein ESYT1 was enriched at MERCs, where it forms a complex with the outer mitochondrial membrane protein SYNJ2BP. The deletion of ESYT1 or SYNJ2BP reduced the number and length of MERCs, indicating that the ESYT1-SYN2JBP complex plays a role in tethering ER and mitochondria. Loss of this complex impaired ER to mitochondria calcium flux and provoked a significant alteration of the mitochondrial lipidome, most prominently a reduction of cardiolipins and phosphatidylethanolamines. Both phenotypes were rescued by re-expression of wild-type ESYT1 as well as an artificial mitochondria-ER tether. Together, these results reveal a novel function of ESYT1 in mitochondrial and cellular homeostasis through its role in the regulation of MERCs.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".