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Record W2081633701 · doi:10.1073/pnas.240278097

Tyrosine phosphorylation of p97 regulates transitional endoplasmic reticulum assembly <i>in vitro</i>

2000· article· en· W2081633701 on OpenAlexaff
Christine Lavoie, Éric Chevet, Line Roy, Nicholas K. Tonks, Ali Fazel, Barry I. Posner, Jacques Paiement, John Bergeron

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsUniversité de MontréalMcGill University
Fundersnot available
KeywordsProtein tyrosine phosphataseEndoplasmic reticulumTyrosine phosphorylationPhosphorylationCell biologyTyrosineBiologyTyrosine kinaseBiochemistryReceptor tyrosine kinaseSignal transduction

Abstract

fetched live from OpenAlex

The ATPase associated with different cellular activities family member p97, associated p47, and the t-SNARE syntaxin 5 are necessary for the cell-free reconstitution of transitional endoplasmic reticulum (tER) from starting low-density microsomes. Here, we report that membrane-associated tyrosine kinase and protein-tyrosine phosphatase (PTPase) activities regulate tER assembly by stabilizing (PTPase) or destabilizing (tyrosine kinase) p97 association with membranes. Incubation with the PTPase inhibitor bpV(phen) inhibited tER assembly coincident with the enhanced tyrosine phosphorylation of endogenous p97 and its release from membranes. By contrast, the tyrosine kinase inhibitor, genistein, promoted tER formation and prevented p97 dissociation from membranes while increasing p97 association with the t-SNARE syntaxin 5. Purification of the endogenous tyrosine kinase activity from low-density microsomes led to the identification of JAK-2, whereas PTPH1 was identified as the relevant PTPase. The p97 tyrosine phosphorylation state is proposed to coordinate the assembly of the tER as a regulatory step of the early secretory pathway.

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 score0.037
Threshold uncertainty score0.220

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 studies0.0000.000
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 head0.012
GPT teacher head0.237
Teacher spread0.226 · 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

Citations89
Published2000
Admission routes1
Has abstractyes

Explore more

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