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Record W6987055891

The role of Slit family members and their receptor Robo-2 in the formation of sterotypic sensory maps in the mammalian olfactory system

2011· dissertation· en· W6987055891 on OpenAlexfundno aff

Bibliographic record

VenueOpen MIND · 2011
Typedissertation
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOlfactory bulbSensory systemOlfactory systemSlitAxonCentral nervous systemNeuronSensory neuron
DOInot available

Abstract

fetched live from OpenAlex

Chapter 1: LITERATURE REVIEW……………………………………………………….I. General introduction……………………………………………………………...21 II.Establishing neuronal identity of olfactory sensory neurons (OSNs)…………… III.Axon guidance events in the wiring of the mammalian olfactory system………. a. Axonal projections in the dorso-ventral axis of the olfactory bulb (OB). b. Axonal projections in the medio-lateral axis of the OB………………... c Axonal projections in the antero-posterior axis of the OB……………...36 d.Compartmentalization of axons in the OB by glycans………………….e. Axon-axon interactions in the formation of glomeruli………………….f.Refinement of the sensory map…………………………………………. g.Role of transcription factors in the targeting of ONS axons…………… IV.Odor information processing to higher structure of the brain…………………… a. Importance of the 'chemotopic' map…………………………………… b.Beyond the OB………………………………………………………….. V. Slits and Robos axons guidance molecules……………………………………... a. Role of Slit/Robo axons guidance molecules in the CNS……………….b.Slits and Robos in the development of the olfactory systems…………... VI.Rationale and objectives…………………………………………………………..60 Chapter 2: Requirement of Slit-1 and Robo-2 signaling in zonal segregation of olfactory sensory neuron axons in the main olfactory bulb……………………………… .61I. Preface…………………………………………………………………………… a. Acknowledgements……………………………………………………... II.Abstract………………………………………………………………………….. III.Introduction……………………………………………………………………… IV.Methods and materials…………………………………………………………... a. Animals………………………………………………………………….b.Generation of Robo-2 Antibody…………………………………………66 c.In situ hybridization…………………………………………………….. d.Immunohistochemical procedures……………………………………… e. Analysis of the position of NQO-1-positive glomeruli in adult olfactory bulbs…………………………………………………………………….V. Results…………………………………………………………………………… a. Robo-2 expression by olfactory sensory neurons……………………….b.Expression of slits in the ventral region of the olfactory bulb………….c.OSN projections are disorganized in robo-2 -/-mice…………………… d.Mistargeting of NQO-1-expressing OSN axons in Slit-1 mutant mice….e. Mistargeted NQO-1 axons form glomeruli in Slit and Robo-2 mutant mice……………………………………………………………………...87 VI.Discussion……………………………………………………………………….. a. Expression patterns of Robo-2 and Slits in the olfactory system……….b.Slit-1 and Robo-2 control dorsoventral segregation of olfactory sensory neuron axons in the olfactory bulbs……………………………………. c.Axon guidance cues in the generation of the glomerular map………….VII.Supplemental figures…………………………………………………………….Chapter 3: The pattern of glomerular map formation defines responsiveness to aversive odorants in mice……………………………………………………………………………105 I. Preface………………………………………………………………………….. a. Acknowledgements…………………………………………………….II.Abstract………………………………………………………………………… III.Introduction…………………………………………………………………….. IV.Methods and materials………………………………………………………….a. Animals………………………………………………………………... b.Fluorescence in situ hybridization…………………………………….c. Analysis of the position of OR-positive glomeruli in adult olfactory bulbs…………………………………………………………………... d.Immunohistochemical procedure…………….……………………….. e. X-Gal staining…………………..………………………………………..110 f.Innate olfactory preference and avoidance tests………………………… V. Results………………………………………………………………………….. a. Robo-2 is required for the targeting of MOR174-9 and M72 OSN axons in the OB.................

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 score0.001
Threshold uncertainty score0.002

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 communication0.0000.000
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 head0.076
GPT teacher head0.277
Teacher spread0.201 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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