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Record W2130195854 · doi:10.1242/jcs.136481

Scyl1 scaffolds class II Arfs to selective subcomplexes of coatomer via the γ-COP appendage domain

2014· article· en· W2130195854 on OpenAlexafffund
Jason N. R. Hamlin, Lena K. Schroeder, Maryam Fotouhi, Hatem Dokainish, Maria S. Ioannou, Martine Girard, Nathan Summerfeldt, Paul Melançon, Peter S. McPherson

Bibliographic record

VenueJournal of Cell Science · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsUniversity of AlbertaMcGill UniversityMontreal Neurological Institute and Hospital
FundersCanadian Institutes of Health Research
KeywordsCOPIGolgi apparatusBiologyGuanine nucleotide exchange factorCell biologyScaffold proteinGTPaseEndoplasmic reticulumADP ribosylation factorSecretory pathwaySignal transduction

Abstract

fetched live from OpenAlex

Coatomer (COPI)-coated vesicles mediate membrane trafficking in the early secretory pathway. There are at least three subclasses of COPI coats and two classes of Arf GTPases that couple COPI coat proteins to membranes. Whether mechanisms exist to link specific Arfs to specific COPI subcomplexes is unknown. We now demonstrate that Scy1-like protein 1 (Scyl1), a member of the Scy1-like family of catalytically inactive protein kinases, oligomerizes through centrally located HEAT repeats and uses a C-terminal RKXX-COO(-) motif to interact directly with the appendage domain of coatomer subunit γ-2 (also known as COPG2 or γ2-COP). Through a distinct site, Scyl1 interacts selectively with class II Arfs, notably Arf4, thus linking class II Arfs to γ2-bearing COPI subcomplexes. Therefore, Scyl1 functions as a scaffold for key components of COPI coats, and disruption of the scaffolding function of Scyl1 causes tubulation of the endoplasmic reticulum (ER)-Golgi intermediate compartment (ERGIC) and the cis-Golgi, similar to that observed following the loss of Arf and Arf-guanine-nucleotide-exchange factor (GEF) function. Our data reveal that Scyl1 is a key organizer of a subset of the COPI machinery.

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)0.001
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 score0.051
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.223
Teacher spread0.218 · 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

Citations45
Published2014
Admission routes2
Has abstractyes

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