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Epigenetic regulation of phenylethanolamine N‐methyltransferase: implications for adrenaline biosynthesis

2020· article· en· W3016729069 on OpenAlexaff
Sandhya Khurana, Sujeenthar Tharmalingam, Alyssa Murray, T.C. Tai

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSynthesis and Biological Activity
Canadian institutionsLaurentian UniversityNOSM University
Fundersnot available
KeywordsEpigeneticsPhenylethanolamineDNA methylationMECP2HistoneCpG siteBiologyMethyltransferaseEpigenetics of physical exerciseRegulation of gene expressionMethylationPhenylethanolamine N-methyltransferaseChemistryMolecular biologyGene expressionEndocrinologyGeneticsGeneDopamineTyrosine hydroxylase

Abstract

fetched live from OpenAlex

Adrenaline, a neurohormone and neurotransmitter, plays an extensive role in the physiological response to stress, and the sympathetic regulation of blood pressure. Phenylethanolamine N‐methyltransferase (PNMT), the terminal enzyme in the catecholamine biosynthetic pathway, directly responsible for adrenaline synthesis, is elevated in hypertensive animals; genetic linkage studies have associated the PNMT gene to the development of hypertension. Epigenetic changes are heritable changes in gene expression that are a consequence of the modification of the DNA (methylation at CpG sites) or histones (e.g. by methylation, acetylation) that facilitate packaging the DNA into nucleosomes. Changes in the epigenome have been associated with incidences of cancer, metabolic disorders and cardiovascular pathologies. In this study, alteration in PNMT expression modifiable by epigenetic regulation was examined using the rat adrenal pheochromocytoma derived PC12 cells. In vitro methylation of a PNMT promoter driven luciferase construct, using CpG methylases, consequently lead to a radical decrease in promoter activation, even in presence of dexamethasone (Dex) or Forskolin (Fsk), otherwise potent activators of PNMT expression. Further, the influence of a DNA methylation inhibitor 5‐aza‐2′‐deoxycytidine (5aza2DC), and histone deacetylase inhibitor valproic acid (VPA) was examined. Transcript analysis of endogenous PNMT, and PNMT promoter driven luciferase assays, both revealed that PNMT transcription is elevated in presence of these epigenetic modifiers, and these compounds can interact with the activation by Dex or Fsk to modulate PNMT expression. The extent of CpG methylation at the promoter of PNMT using bisulphite‐sequencing, and transcription factor binding sites that are sensitive to epigenetic modification using site directed mutagenesis, are currently being examined. The data suggests that PNMT regulation is sensitive to epigenetic modification which can have repercussions for adrenaline biosynthesis, and consequently on its role as a neurotransmitter. Support or Funding Information 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 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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.036
GPT teacher head0.263
Teacher spread0.227 · 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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Citations1
Published2020
Admission routes1
Has abstractyes

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