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Record W2760667164

Dynamic Regulation of Slit/Robo Signaling

2012· dissertation· en· W2760667164 on OpenAlexvenueno aff
Heng Rui Wang

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typedissertation
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsnot available
Fundersnot available
KeywordsSlitCell biologyNeuroscienceBiology
DOInot available

Abstract

fetched live from OpenAlex

The Slit family (Slit1-3) of secreted glycoproteins and their cognate Roundabout family (Robo1-4) of transmembrane receptors provide important repulsive signals to guide cell migration during development and postnatal life. The dynamic regulation of Slit/Robo signaling is poorly understood in vertebrates. In this study, we identified a novel role for endocytosis in regulating Slit2 /Robo1 expression. Using heterologous expression systems, Slit2 was found be endocytosed in a Robo1-dependent manner and subsequently degraded in the lysosome, while Robo1 was found to be primarily recycled. An AP-2 consensus binding site, which mediates clathrin-dependent endocytosis, was identified in the Robo1 cytoplasmic tail and found to be required for Slit2 down-regulation and Slit2-induced endocytosis of Robo1. Preliminary data suggests that Slit2-induced endocytosis of Robo1 may be required for downstream signaling. These findings have important implications for how Slit/Robo signaling may be dynamically regulated during cell migration.

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 score0.002
Threshold uncertainty score0.008

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 communication0.0010.001
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 head0.007
GPT teacher head0.174
Teacher spread0.168 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicAxon Guidance and Neuronal SignalingFrench-language works237,207