MétaCan
Menu
← Back to cohort

Presynaptic organization of CaV2 channels with specific vesicle pools in SCG vs rat tail artery

2017· article· en· W4389020177 on OpenAlexafffundabout
Somayeh Mojard Kalkhoran, Jag Walia, Cynthia Gershome, Sarah HJ Chow, Damon Poburko

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGene isoformVesicleNorepinephrineSynaptic vesicleSympathetic nervous systemSuperior cervical ganglionBiologyCell biologyInternal medicineChemistryAnatomyEndocrinologyMedicineDopamineBiochemistryBlood pressureGene

Abstract

fetched live from OpenAlex

Peripheral sympathetic nerves co‐release multiple neurotransmitters to modulate the activity of their target organ, for example mediating physiological regulation of cardiac contractility and systemic vascular tone. However, the release of “co‐released” transmitters like norepinephrine (NE) and ATP can be differentially regulated, for example by relying on specific isoforms of voltage‐gated Ca2+ channels (CaV), and we previously reported that NE‐ and ATP‐containing vesicles segregate in pools that preferentially co‐localize with specific CaV2 isoforms in rat tail artery. Whether this observation generalizes to other sympathetic nerves is not known, but it is of fundamental importance to understanding the molecular biology of sympathetic co‐release. OBJECTIVE To determine whether specific isoforms of CaV selectively associate with pools of vesicles enriched with transporters for NE or ATP in multiple peripheral sympathetic nerves. METHODS We performed epifluorescence imaging of intact rat tail artery and cultured superior cervical ganglia (SCG) neurons, comparing the localization and intensity correlation of CaV2.1, CaV2.2, and CaV2.3 with vesicle markers for NE (VMAT2) and ATP (VNUT/SlC17A) containing vesicles or suitable surrogate markers. RESULTS We confirmed that VMAT2 and VNUT are often but not always found in the same varicosities. While VMAT2 is broadly distributed in varicosity, VNUT localizes as discrete puncta at the perimeter of varicosity and does not co‐localize with synaptagmin1 in SCG neurons, similar rat artery nerves. CaV2.3 and CaV2.1, like VNUT, localize to the periphery of the varicosities, while CaV2.2 more closely mimics to the distribution of VMAT2. These findings mirror our observations in rat tail artery, in which NE release is most sensitive to CaV2.2 inhibition and ATP‐mediated contraction is blocked by CaV2.3 inhibition. CONCLUSION We show that synaptic organization of CaV2 isoforms with specific pools of vesicle in a cultured nerve system closely recapitulates that found in vivo. This observation further validates cultured SCG neurons as an experimentally tractable and physiologically revenant model to study presynaptic cell biology relevant to the regulation of both cardiac output and vasoregulation. Support or Funding Information 1. Natural Sciences and Engineering Research Council of Canada.2. Canadian Foundation for Innovation

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 score0.005
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 integrity0.0000.000
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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicReceptor Mechanisms and Signaling→French-language works237,207→