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Abstract 15544: Implication of the Histone Methyltransferase “G9a” in Pulmonary Arterial Hypertension

2020· article· en· W3163215513 on OpenAlexaff
Charifa Awada, Karima Habbout, Valérie Nadeau, Sandra Breuils‐Bonnet, Roxane Paulin, Steeve Provencher, Sébastien Bonnet, Olivier Boucherat

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversité LavalMontreal Heart InstituteInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsEpigeneticsApoptosisCancer researchMedicineHistone methyltransferaseHistone H3Downregulation and upregulationMethyltransferaseInternal medicineBiologyGeneMethylationGenetics

Abstract

fetched live from OpenAlex

Rationale: Pulmonary arterial hypertension (PAH) is a cardiopulmonary disorder characterized by elevation of pulmonary arterial (PA) pressure and premature death. PA smooth muscle cells (PASMCs) from PAH patients present a cancer-like hyperproliferative and apoptosis-resistant phenotype contributing to remodeling of distal PAs. Although epigenetic alterations contribute to PAH development, one important challenge is defining which genes are the drivers . A growing body of literature points to the role of an epigenetic factor called G9a in cancer pathogenesis. Indeed, G9a is a histone methyltransferase overexpressed in many cancers promoting cell proliferation and survival. Given the similarities between PAH and cancer, it is of interest to determine whether G9a is implicated in PAH. We thus hypothesized that G9a inhibition reduces the pro-proliferative and apoptosis resistance phenotype of PAH-PASMCs. Methods and Results: Using Western blot (WB) and immunofluorescence (IF), we showed that G9a is overexpressed in distal PAs and isolated PASMCs from PAH patients (n= 6-14, p<0.01). Similarly, G9a was increased (WB and IF, p<0.05) in two models mimicking the disease; namely the monocrotaline rat and mice exposed to chronic hypoxia. In vitro, we found that pharmacological inhibition of G9a using BIX01294 and UNC0642 reduces PAH-PASMC proliferation (Ki67 and EdU assays, p<0.001) and survival (Annexin V assay p<0.001). Through RNA sequencing analysis conducted in PAH-PASMCs treated or not with BIX01294, we found that upregulated differentially expressed genes (DEGs) were enriched in cholesterol biosynthesis, autophagy-lysosome and ER stress-induced apoptotic pathways. However, downregulated DEGs were involved in cell cycle and fibrosis-related processes. Consistently, inhibition of G9a generates numerous cytoplasmic vacuoles positive for LC3-II and p62 (WB, IF), thus suggesting that the inhibition of G9a induces cell death by altering cholesterol metabolism-dependent autophagy. Conclusion: We showed for the first time that G9a is overexpressed in PAH contributing to the pro-proliferative and anti-apoptotic phenotype of PAH-PASMCs. Current experiments aim to determine whether G9a inhibition provides therapeutic benefits in PAH.

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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.024
GPT teacher head0.257
Teacher spread0.233 · 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
Published2020
Admission routes1
Has abstractyes

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