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Record W2058541075 · doi:10.1096/fj.09-149765

Palmitoylation of ketogenic enzyme HMGCS2 enhances its interaction with PPARα and transcription at the <i>Hmgcs2</i> PPRE

2010· article· en· W2058541075 on OpenAlexafffund
Morris A. Kostiuk, Bernd O. Keller, Luc G. Berthiaume

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversity of British ColumbiaChild and Family Research InstituteUniversity of Alberta
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsTranscription factorPalmitoylationTranscription (linguistics)ChemistryEnzymeCell biologyKetogenic dietBiologyBiochemistryGeneNeuroscience

Abstract

fetched live from OpenAlex

Excessive liver production of ketone bodies is one of many metabolic complications that can arise from diabetes, and in severe untreated cases, it can result in ketoacidosis, coma, and death. Mitochondrial HMG-CoA synthase (HMGCS2), the rate-limiting enzyme in ketogenesis, has been shown to interact with PPARalpha and act as a coactivator to up-regulate transcription from the PPRE of its own gene. Although protein palmitoylation is typically a cytosolic process that promotes membrane association, we recently identified 21 palmitoylated proteins in rat liver mitochondria, including HMGCS2. Herein, our data support a mechanism whereby palmitate is first added onto HMGCS2 active site Cys166 and then transacylated to Cys305. Palmitoylation promotes the HMGCS2/PPARalpha interaction, resulting in transcriptional activation from the Hmgcs2 PPRE. These results, together with the fact that 8 of the 21 palmitoylated mitochondrial proteins that we previously identified have nuclear receptor interacting motifs, demonstrate a novel--and perhaps ubiquitous--role for palmitoylation as a modulator of transcription.

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 score0.002
Threshold uncertainty score0.263

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 head0.008
GPT teacher head0.230
Teacher spread0.222 · 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

Citations84
Published2010
Admission routes2
Has abstractyes

Explore more

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