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Abstract 16338: Dna Hypomethylation in Long Non-coding Rna Promoter During Calcific Aortic Valve Stenosis: Implication for the Notch Pathway

2015· article· en· W2570492003 on OpenAlexaff
Fayez Hadji, Marie‐Chloé Boulanger, Émilie Lavoie-Charland, Nathalie Gaudreault, Sandra Guauque-Olarte, Rihab Bouchareb, Mohamed Jalloul Nsaibia, Luigi Bouchard, Yohan Bossé, Patrick Mathieu

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversité de SherbrookeInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsTransdifferentiationDNA methylationChromatin immunoprecipitationBiologyTranscriptomePromoterCell biologyMethylationGene expressionMolecular biologyGeneCancer researchGeneticsStem cell

Abstract

fetched live from OpenAlex

Introduction:Calcific aortic valve stenosis (CAVS) is the most common valvular heart disease. Transdifferentiation of valve interstitial cells of the aortic valve (VICs) into osteogenic cells is an important process in the pathology. However, the molecular mechanisms involved in gene expression during osteogenic transition are still poorly understood. Hypothesis:Long non-coding RNAs (lncRNAs) regulate gene expression pattern and may be involved in the osteogenic transdifferentiation during the development of the CAVS. Methods:Transcriptomic by RNA sequencing (RNA-seq) and DNA genome-wide methylation studies were performed in human aortic valves. In addition, the role of a lncRNA on the mineralization was explored and the molecular mechanisms by which it promotes osteogenic transdifferentiation was documented. Results:Transcriptomic profiling of CAVS and control valves revealed that a lncRNA was highly expressed in mineralized valves. The CpG islands in the promoter region of the gene coding this lncRNA were hypomethylated (n=23). These data were confirmed by q-PCR (n=152), fluorescence in situ hybridization (FISH) and pyrosequencing (n=60). Methylation status of the lncRNA promoter was inversely related to expression level and in isolated VICs a treatment with 5-aza-2’-deoxycytidine, which causes DNA demethylation, increased the expression of lncRNA by 2,5-fold. Knockdown or overexpression experiments showed that lncRNA play an important role in the osteogenic transdifferentiation via the Notch1 pathway. Promoter studies coupled with luciferase and chromatin immunoprecipitation (ChIP) revealed that this lncRNA interferes with the activity of Notch1 by physically interacting with the promoter. LncRNA-induced mineralization of VICs was rescued by a co-transfection of a vector encoding for the Notch intracellular domain (NICD). Conclusions:During CAVS the hypomethylation in the promoter region promotes the overexpression of a lncRNA. This lncRNA promotes the dysfunction of the Notch signaling pathway and induces the osteogenic transdifferentiation of VICs.

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 score0.003
Threshold uncertainty score0.010

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)0.0030.000

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 head0.029
GPT teacher head0.298
Teacher spread0.268 · 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".

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Citations0
Published2015
Admission routes1
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