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Record W2727446205 · doi:10.1038/s41598-017-05119-0

C-terminal deletion of NOTCH1 intracellular domain (N1ICD) increases its stability but does not amplify and recapitulate N1ICD-dependent signalling

2017· article· en· W2727446205 on OpenAlexafffund
Jennifer Blain, Jessily Bédard, Maureen Thompson, François‐Michel Boisvert, Marie‐Josée Boucher

Bibliographic record

VenueScientific Reports · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsUniversité de Sherbrooke
FundersFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsTerminal (telecommunication)Domain (mathematical analysis)IntracellularSignallingBiologyGeneticsCell biologyComputational biologyComputer scienceMathematicsTelecommunications

Abstract

fetched live from OpenAlex

Abstract Since the generation of a mouse strain conditionally expressing the active intracellular domain of Notch1 (N1 ICD ), many laboratories have exploited this model (Rosa N1-ICD ) to assess the impact of constitutive Notch1 signalling activation in normal and pathological processes. It should be underscored that Cre-recombination leads to the expression of a C-terminally truncated form of N1 ICD (N1 ICDdC ) in the Rosa N1-ICD mutant mice. Given that no studies were undertaken to delineate whether deletion of this region leaves intact N1 ICD function, stable cell lines with single targeted integration of inducible N1 ICD and N1 ICDdC were generated. We found that C-terminal deletion of N1 ICD stabilized the protein but did not promote the activity of Notch responsive promoters. Furthermore, despite higher expression levels, N1 ICDdC failed to phenocopy N1 ICD in the promotion of anchorage-independent growth. Our results thus suggest that the C-terminal region of N1 ICD plays a role in shaping the Notch response. Therefore, it should be taken into consideration that N1 ICD is truncated when interpreting phenotypes of Rosa N1-ICD mutant mice.

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)0.002
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 score0.003
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.014
GPT teacher head0.247
Teacher spread0.233 · 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

Citations9
Published2017
Admission routes2
Has abstractyes

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