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Functions of Notch Signaling in the Immune System: Consensus and Controversies

2010· review· en· W2134321518 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnnual Review of Immunology · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsNotch signaling pathwayBiologyHes3 signaling axisNotch proteinsCell biologySignal transductionCell signalingEffector

Abstract

fetched live from OpenAlex

Mammalian genomes encode up to four Notch receptors (Notch1-4) and five Notch ligands of the DSL (Delta/Serrate/Lag-2) family, and Notch signaling controls a wide spectrum of developmental processes. Intrathymic Notch1 signaling is essential for several distinct aspects of early T cell development. Notch signaling has also been implicated as a key regulator of peripheral T cell activation and effector cell differentiation, but its functions in these processes remain poorly understood. Notch signaling is dispensable for B cell development in the bone marrow, but it is required to generate the innate-like marginal zone B cell subset in the spleen and may also regulate plasma cell functions. Modification of Notch receptors by fringe glycosyltransferases influences many Notch-dependent aspects of hematopoiesis by altering Notch responsiveness to Delta-like versus Jagged DSL ligands. Here we review recent advances in general aspects of Notch signaling, as well as studies probing Notch functions in these immunological processes.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.277
Teacher spread0.268 · 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