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Record W2762367549 · doi:10.24870/cjb.2017-a161

Arginylation regulates adipose tissue development and function via modulating PPARγ expression

2017· article· en· W2762367549 on OpenAlexvenueno aff
Archana Singh, Sougata Saha

Bibliographic record

VenueCanadian Journal of Biotechnology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsnot available
Fundersnot available
KeywordsAdipose tissueFunction (biology)Cell biologyPeroxisome proliferator-activated receptorExpression (computer science)BiologyInternal medicineChemistryEndocrinologyMedicineReceptorGeneticsComputer science

Abstract

fetched live from OpenAlex

Arginylation, a poorly understood post translational modification mediated by ATE1 known to regulate protein activity and stability Unconditional deletion of Ate1 results in embryonic lethality and postnatal whole body deletion of Ate1 in mouse results in adipose tissue dysfunction i.e. loss of visceral fat, exhibit higher metabolic rate and resistant to diet induced obesity Adipose tissue dysregulation leads to various life threatening diseases like obesity, diabetes, cardiovascular defects and cancer Current study is undertaken to understand the role of protein arginylation in adipose tissue development and function. Our initial investigation showed an increase in ATE1 protein expression with progression of adipogenesis in 3t3L1 preadipocyte differentiation. Further, treatment of these cells with ATE1 inhibitors, tannic (10 M) acid and merbromin (75 M) suppressed lipid accumulation in 3t3l1 cell significantly. Gene expression analysis shows inhibition of peroxisome proliferator activated receptor gamma (PPAR) 1 and PPAR2 expression in 3t3l1 cells differentiated in presence of ATE1 inhibitors. PPAR is a key transcription factor of adipogenesis and plays crucial role in induction of various adipogenic genes which contributes to lipid formation. The mRNA level of PPAR associated genes glucose transporter 4 (GLUT4), fatty acid binding protein 4 (FABP4) and perilipin (pln1) were found to be downregulated by ATE1 inhibitors, hence results into decrease in lipid accumulation. As PPAR found to be a target for ATE1 inhibitors, PPAR1 was overexpressed in Ate1 knockout (KO1) and wild type mouse embryonic fibroblast (MEF) cells. Expression of PPAR1 was found to be significantly low in KO1 as compared to its wild type counterpart at transcript level. Interestingly inhibition of PPAR1 expression in absence of arginylation becomes more profound at protein level. Low level of PPAR1 impedes adipogenesis when KO1 cells were induced to differentiation with poor induction of GLUT4, lipoprotein lipase and FABP4. Current study provides a new protein arginylation dependent adipogenic pathway which promotes adipogenesis by promoting PPAR.

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 score0.087
Threshold uncertainty score0.451

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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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