MétaCan
Menu
Back to cohort
Record W2734664868 · doi:10.1093/cercor/bhx180

Notch Activation by Shootin1 Opposing Activities on 2 Ubiquitin Ligases

2017· article· en· W2734664868 on OpenAlexaff
Tamar Sapir, Talia Levy, Noga Kozer, Irina Shin, Vanessa Zamor, Rebecca Haffner‐Krausz, Jane McGlade, Orly Reiner

Bibliographic record

VenueCerebral Cortex · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersIsrael Science FoundationHelen and Martin Kimmel Institute for Stem Cell Research, Weizmann Institute of ScienceMinerva FoundationFondation Jérôme Lejeune
KeywordsNotch signaling pathwayNotch proteinsUbiquitinNUMBCell biologyHes3 signaling axisCell fate determinationUbiquitin ligaseTranscription factorSignal transductionBiologyTransmembrane proteinChemistryReceptorGeneticsGene

Abstract

fetched live from OpenAlex

The evolutionarily conserved Notch pathway plays an important role in regulation of stem cell renewal and cell fate determination in numerous organs, and as such is a key pathway in normal health and disease processes. Canonical Notch signaling is usually activated by cell contact where transmembrane ligands such as Delta-like and Jagged bind to Notch receptors. Notch activation results in the translocation of the cleaved Notch intracellular domain (NICD) into the nucleus and subsequent activation of transcription. Poly-ubiquitination leading to proteosome degradation of pathway components is one mean of regulating the Notch pathway. Here, we identified that Shootin1 exhibits the surprising propensity of activating the pathway either by interacting with LNX1/2 and promoting poly-ubiquitination of Numb or by complexing with Itch and impairing poly-ubiquitination of NICD. Within the developing brain Shootin1 modulates neuroblasts cell fate by executing 2 opposing activities on ubiquitin ligases, which control Notch signaling on 2 different levels.

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 score0.092
Threshold uncertainty score0.502

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 head0.265
Teacher spread0.253 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCerebral CortexSame topicDevelopmental Biology and Gene RegulationFrench-language works237,207