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Record W1869867978 · doi:10.1139/bcb-2013-0020

The role of caveolae in regulating calcitonin receptor-like receptor subcellular distribution in vascular smooth muscle cells

2013· article· en· W1869867978 on OpenAlexvenueno aff
Jiang Qiong Tang, Fei Sun, Yu Hua Wang, Lin Xi Chen, Chao Yao, Xiao Qin Fu, Liang Zhang, Xu Qin

Bibliographic record

VenueBiochemistry and Cell Biology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCaveolin-1 and cellular processes
Canadian institutionsnot available
Fundersnot available
KeywordsCaveolaeVascular smooth muscleReceptorCalcitonin gene-related peptideCaveolin 1Cell biologyCalcitonin receptorCalcitoninCellCell membraneImmunoprecipitationCaveolinChemistryBiologyInternal medicineEndocrinologySignal transductionBiochemistryNeuropeptideSmooth muscleGeneMedicine

Abstract

fetched live from OpenAlex

To determine whether caveolae and caveolin-1 affect the distribution of calcitonin receptor-like receptors (CLR) in vascular smooth muscle cell (VSMC) membranes, we have used VSMCs cell line A10. We found that calcitonin gene-related peptide (CGRP) reduced CLR protein in the VSMC membrane in a time-dependent manner, which was dramatically decreased after 4 h CGRP treatment, and remained at a low level after 16 h. CGRP8-37 or β-cyclodextrin (β-CD) blocked this effect, without changing the total levels of CLR protein and mRNA in the cells. Co-immunoprecipitation experiments showed that CLR bound to caveolin-1 in cell membrane fractions. Confocal laser microscopic studies confirmed this co-localization relationship at the cell plasma membrane. Thus, our data indicate that the structural integrity of caveolae plays an important role in regulating subcellular distribution of CLR.

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 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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.003
GPT teacher head0.188
Teacher spread0.185 · 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 teacher head, 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

Citations4
Published2013
Admission routes1
Has abstractyes

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