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Record W2019975551 · doi:10.1159/000101840

Study on the Putative Contribution of Caspases and the Proteasome to the Degradation of Aph-1a and Pen-2

2007· article· en· W2019975551 on OpenAlexaff
Julie Dunys, Toshitaka Kawarai, Emilie Giaime, Sherwin Wilk, Magali Herrant, Patrick Auberger, Peter St George‐Hyslop, Cristine Alvès da Costa, Frédéric Checler

Bibliographic record

VenueNeurodegenerative Diseases · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsOccupational Cancer Research CentreUniversity Health Network
FundersFondation pour la Recherche Médicale
KeywordsProteasomeProteolysisPresenilinNicastrinCaspaseEndogenyBiologyCell biologyUbiquitinMolecular biologyChemistryBiochemistryApoptosisProgrammed cell deathEnzymeAlzheimer's diseaseGeneMedicine

Abstract

fetched live from OpenAlex

The presenilin-dependent gamma-secretase complex is mainly composed of four distinct proteins, namely presenilin 1 or presenilin 2, nicastrin, anterior pharynx defective-1 (Aph-1) and presenilin enhancer (Pen-2). The mechanisms by which the complex is assembled, how its stoichiometry is controlled and how its catalytic activity is regulated are poorly understood. Recent studies indicated that Aph-1 and Pen-2 undergo proteolysis by the proteasome. We have examined the susceptibility of endogenous and overexpressed Aph-1a and Pen-2 to proteolysis by endogenous and purified proteasome as well as by recombinant caspases. We show that endogenous Aph-1a and Pen-2 resist proteolysis by caspases and by the proteasome. Furthermore, we show that unexpected interference of proteasome inhibitors with the cmv promoter region driving expression of Aph-1a and Pen-2 led to artifactual enhancement of overexpressed Aph-1a and Pen-2-like immunoreactivities but that these proteins also resist to in vitro degradation by endogenous and purified proteasome.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2007
Admission routes1
Has abstractyes

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