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Record W7064406779

Behavioural and Metabolic Characterization of NPR-9 and AIB Signaling Dynamics in Caenorhabditis Elegans

2018· dissertation· en· W7064406779 on OpenAlexaff

Bibliographic record

VenueQSpace (Queen's University Library) · 2018
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsQueen's University
Fundersnot available
KeywordsCaenorhabditis elegansGlutamate receptorGlutamatergicReceptorPhenotypeInterneuronFunction (biology)Signal transductionSensory system
DOInot available

Abstract

fetched live from OpenAlex

Caenorhabditis elegans inhabit heterogeneous environments and are often faced with diverse environmental cues. The nematode must modulate behavioural and physiological mechanisms to avoid aversive environmental conditions while favouring conditions that promote growth. Therefore, organisms must detect environmental cues via sensory neurons, integrate sensory evoked signals via interneurons, and modulate downstream pathways dependent on environmental context. Internal cues, such as a well fed or starved condition, can also reconfigure the neural circuitry. Interneuron AIB functions as an integration hub that integrates sensory-evoked signals and fine-tunes locomotory behaviours. Previous work has highlighted that galanin-like G-protein coupled neuropeptide receptor NPR-9 and stimulatory glutamate gated cation channel receptor GLR-1 function in anterior interneuron AIB. npr-9 loss-of-function and over-expression mutants display abnormal spontaneous locomotion patterns. Hence, we evaluated npr-9 and AIB-specific glr-1 mutant locomotory phenotypes in response to diverse environmental cues. We have shown that NPR-9 functions in concert with GLR-1 to regulate AIB activity. We also highlighted that overexpression of npr-9 interferes with locomotory modulation suggesting that NPR-9 upregulation inhibits the capacity of AIB to integrate environmental cues. This phenotype persists in the context of starvation suggesting that NPR-9 and AIB are also required for internal cue dependent modulation. AIB regulation via NPR-9, serotonin gated chloride channel MOD-1, and tachykinin GPCR TKR-2 also regulates lipid metabolism, likely via the control of glutamate release. In the context of the locomotory circuit, glutamate release inhibits inter/motor neuron RIM via inhibitory glutamate gated chloride channel receptor AVR-14. Transforming growth factor beta (TGF-β) receptor homolog receptor DAF-1 has been found to function in RIM and is regulated via glutamatergic signaling. Therefore, we evaluated the influence of AIB glutamate release on daf-1 lipid phenotypes. We highlight that diverse receptors in AIB can influence lipid metabolism and feeding behaviour, while the influence of starvation also appears to be integrated by AIB in the regulation of the aforementioned phenotypes. Collectively, this thesis indicates that interneuron AIB integrates diverse signals from sensory neurons to modulate an array of behavioural and physiological signaling pathways dependent on internal and external cues.

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 score0.004
Threshold uncertainty score0.009

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 integrity0.0000.001
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 head0.005
GPT teacher head0.192
Teacher spread0.187 · 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
Published2018
Admission routes1
Has abstractyes

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