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Record W2014406831 · doi:10.4161/adip.21916

Temporal analysis of protein lysine acetylation during adipocyte differentiation

2012· article· en· W2014406831 on OpenAlexaff
Zuyuan Xu, Sudharsana Rao Ande, Suresh Mishra

Bibliographic record

VenueAdipocyte · 2012
Typearticle
Languageen
FieldMedicine
TopicSirtuins and Resveratrol in Medicine
Canadian institutionsUniversity of ManitobaManitoba Beekeepers' Association
Fundersnot available
KeywordsAcetylationAdipocyteLysineDownregulation and upregulationBiochemistryCellular differentiationBiologyChemistryCell biologyAdipose tissueAmino acidGene

Abstract

fetched live from OpenAlex

The post-translational modification of protein by acetylation has been emerging as a prevalent modification in enzymes that catalyze intermediary metabolism. However, the dynamics of protein acetylation during adipocyte differentiation that involves a major shift in cellular metabolism is not known. In this study, we investigated the temporal changes in acetylation during adipocyte differentiation. Almost all acetylated proteins identified showed a sequential change in acetylation during the differentiation process. While the majority of the acetylated proteins showed a sequential upregulation during adipocyte differentiation, in a few proteins a sequential downregulation of protein acetylation was also observed. Our findings suggest that a wide-ranging temporal change in protein acetylation occurs during adipocyte differentiation including differentially expressed proteins signifying an important role in adipocyte differentiation.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.269
Teacher spread0.256 · 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".

Quick stats

Citations13
Published2012
Admission routes1
Has abstractyes

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