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Record W4407366052 · doi:10.1016/j.isci.2025.111973

ATP8A1-translocated endosomal phosphatidylserine fine-tunes the multivesicular body formation and the endo-lysosomal traffic

2025· article· en· W4407366052 on OpenAlexfundno aff
Yangli Tian, Chengang Li, Yudong Wang, Ping Yi, Rongying Zhang

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsnot available
FundersUniversity of Electronic Science and Technology of ChinaMajor Research PlanHuazhong University of Science and TechnologyNatural Science Foundation of Hebei ProvinceUniversity of TorontoNational Natural Science Foundation of ChinaWuhan National Laboratory for OptoelectronicsUniversity College London
KeywordsEndosomePhosphatidylserineCell biologyChemistryBiophysicsBiologyBiochemistryPhospholipidMembrane

Abstract

fetched live from OpenAlex

P4-ATPases are phospholipid flippases responsible for the transbilayer lipid asymmetry. ATP8A1, a P4-ATPase family member, has been reported to be involved in phosphatidylserine (PS) translocation at the trans- Golgi network, early endosomes and recycling endosomes. However, the possible roles of the PS on late endosomes/lysosomes pathway and how they are regulated remain to be elucidated. This study showed enrichment of ATP8A1 in Rab7-positive late endosomal compartments, and that ATP8A1 primarily flips the endosomal PS from the luminal leaflet to the cytosolic leaflet but not the PS in the inner leaflet of the plasma membrane. ATP8A1 depletion accelerates the lysosome-destined cargo proteins transfer into the intraluminal vesicles (ILVs) of multivesicular bodies (MVBs) and alters the signaling of epidermal growth factor receptor. Mechanistically, ATP8A1 depletion leads to PS loading in the luminal leaflet of MVB's limiting membrane, which fine-tunes ILVs initiation and endosomal sorting complex required for transport (ESCRT) component recruitment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.234
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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