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Record W2269441102 · doi:10.1161/atvb.34.suppl_1.1

Abstract 1: Role of MicroRNAs in Postranscriptional Regulation of Apolipoprotein B-100 mRNA

2014· article· en· W2269441102 on OpenAlexaff
Sahar Ansari Basir, Tiffany Asante, Khosrow Adeli

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsApolipoprotein BmicroRNAMessenger RNAPsychological repressionTranslational efficiencyMolecular biologyTransfectionUntranslated regionThree prime untranslated regionBiologyGene expressionRegulation of gene expressionCell biologyTranslation (biology)GeneGeneticsBiochemistryCholesterol

Abstract

fetched live from OpenAlex

Hepatic apolipoprotein B-100 (apoB) synthesis and secretion appears to be regulated largely at the posttranscriptional and posttranslational levels. MicroRNAs (miRNAs) are among posttranscriptional regulators of gene expression that bind to complementary sequences on target messenger RNA (mRNA) transcripts, usually resulting in translational repression or degradation. It is unknown whether specific miRNAs are involved in posttranscriptional regulation of apoB mRNA. We performed bioinformatic analysis, showing that two specific miRNAs with satisfactory E-values level (with levels indicating greater similarity between the input and its match) namely, miR-544 (E-value = 0.91) and miR-1202 (E-value=0.86) have potential to interact with 3’ and 5’ UTR of apoB, respectively. We hypothesized that the interaction of these specific miRNAs (miR-544 and miR-1202) with the 3’ and 5’UTR of apoB mRNA leads to apoB mRNA translational repression and/or activation. Using a human hepatoma cell line model, HepG2, the effects of overexpressed miRNAs and inhibition of endogenous miRNAs on the expression of apoB mRNA and apoB protein synthesis were investigated. We further examined the effect of these miRNAs on apoB mRNA traffic into cytoplasmic P-bodies. Transfection of HepG2 cells with miR-544 led to a significant reduction in apoB mRNA expression and protein synthesis and induced an increase in the co-localization of apoB mRNA into P-bodies. The opposite effect was observed when anti-miR-544 was employed to inhibit the endogenous miR-544. Results from luciferase reporter assays indicated that the effects of miR-544 may be mediated via interaction with the 3’UTR of apoB mRNA. In contrast to miR-544, miR-1202 overexpression induced an increase in apoB mRNA expression and protein synthesis. Similarly, the opposite effect was observed when using anti-miR-1202. Data from luciferase reporter assays showed an increased expression of the reporter gene in constructs carrying 5’UTR of apoB mRNA suggesting that miR-1202 may function via the 5’UTR. In summary, these data demonstrate that specific miRNAs are involved in the regulation of expression and translational control of apoB mRNA in hepatocytes. However, these miRNAs do not appear to mediate insulin regulation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

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)0.0020.001

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 head0.014
GPT teacher head0.245
Teacher spread0.231 · 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 designNot applicable
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

Citations1
Published2014
Admission routes1
Has abstractyes

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