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Record W2206193756 · doi:10.1016/j.celrep.2015.11.056

Post-transcriptional Stabilization of Ucp1 mRNA Protects Mice from Diet-Induced Obesity

2015· article· en· W2206193756 on OpenAlexaff
Akinori Takahashi, Shungo Adachi, Masahiro Morita, Miho Tokumasu, Tohru Natsume, Toru Suzuki, Tadashi Yamamoto

Bibliographic record

VenueCell Reports · 2015
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsMcGill University
Fundersnot available
KeywordsThermogeninGene knockdownMessenger RNAWhite adipose tissueThree prime untranslated regionAdipose tissueUntranslated regionPRDM16MutantCell biologyEndocrinologyChemistryInternal medicineThermogenesisBiologyGeneBiochemistryMedicine

Abstract

fetched live from OpenAlex

Uncoupling protein 1 (Ucp1) contributes to thermogenesis, and its expression is regulated at the transcriptional level. Here, we show that Ucp1 expression is also regulated post-transcriptionally. In inguinal white adipose tissue (iWAT) of mice fed a high-fat diet (HFD), Ucp1 level decreases concomitantly with increases in Cnot7 and its interacting partner Tob. HFD-fed mice lacking Cnot7 and Tob express elevated levels of Ucp1 mRNA in iWAT and are resistant to diet-induced obesity. Ucp1 mRNA has an elongated poly(A) tail and persists in iWAT of Cnot7(-/-) and/or Tob(-/-) mice on a HFD. Ucp1 3'-UTR-containing mRNA is more stable in cells expressing mutant Tob that is unable to bind Cnot7 than in WT Tob-expressing cells. Tob interacts with BRF1, which binds to an AU-rich element in the Ucp1 3'-UTR. BRF1 knockdown partially restores the stability of Ucp1 3'-UTR-containing mRNA. Thus, the Cnot7-Tob-BRF1 axis inhibits Ucp1 expression and contributes to obesity.

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 score0.112
Threshold uncertainty score0.453

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 head0.030
GPT teacher head0.260
Teacher spread0.230 · 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

Citations67
Published2015
Admission routes1
Has abstractyes

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