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Modulation of αENaC mRNA expression under different stresses: Implication of its 3′UTR.

2013· article· en· W3172709843 on OpenAlexfundno aff
Francis Migneault, Mihai Pascariu, André Dagenais, Yves Berthiaume

Bibliographic record

VenueThe FASEB Journal · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchCommon Fund for Commodities
KeywordsEpithelial sodium channelMessenger RNAMolecular biologyUntranslated regionCycloheximideChemistryTransfectionTranscription (linguistics)BiologyProtein biosynthesisCell biologyGeneSodiumBiochemistry

Abstract

fetched live from OpenAlex

Active sodium transport by the epithelial Na+ channel (ENaC) is important for fluid movement across the alveolar epithelium in the lungs and for the resolution of pulmonary oedema in acute respiratory distress syndrome (ARDS). It was shown that cellular stress induced by lipopolysaccharides (LPS) or cycloheximide (Chx) downregulate αENaC mRNA via different molecular mechanisms. The purpose of this project was to investigate the importance of the αENaC 3′UTR in the mRNA modulation of ENaC. Alveolar epithelial cells were co‐transfected with 3′UTR mutants (V5/ENaC±3′UTR and Luc±3′UTR) inserted in pTRE‐tight vector along with the Tet‐Off vector. The cells were treated with Chx (1.0μM), LPS (15μg/mL) or Actinomycin D (5μg/mL) along with Dox (1μg/mL) to inhibit transcription. We found that 3′UTR deletion caused a ~60% decrease of luciferase activity and expression compared to the complete recombinant. The T 1/2 of V5‐αENaC mRNA was 60 min and the deletion of 3′UTR reduced T 1/2 to 37min. Chx reduced αENaC mRNA T 1/2 to 33min whereas LPS had no effect. Actinomycin D, a transcription inhibitor, increased T 1/2 >; 120min. These results suggest that the αENaC mRNA half‐life is shorter then previously estimated and that 3′UTR seems to be important for the stability of αENaC mRNA. Supported by FRSQ, CFC and CIHR.

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 score0.107
Threshold uncertainty score0.181

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 head0.012
GPT teacher head0.235
Teacher spread0.223 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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