MétaCan
Menu
Back to cohort
Record W1993763828 · doi:10.2298/abs1204247e

Selection of reference genes for normalization of real-time PCR data in visceral adipose tissue of female rats on a fructose-enriched diet

2012· article· en· W1993763828 on OpenAlexaff
Ivana Elaković, Jelena Nestorov, Sanja Kovačević, Gordana Matić

Bibliographic record

VenueArchives of Biological Sciences · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsInstitute for Biological Sciences
FundersMinistarstvo Prosvete, Nauke i Tehnološkog Razvoja
KeywordsReference genesHousekeeping geneTaqManAdipose tissueBiologyReal-time polymerase chain reactionGeneGene expressionFructoseReverse transcription polymerase chain reactionPolymerase chain reactionGeneticsEndocrinologyBiochemistry

Abstract

fetched live from OpenAlex

Considering the association of increased fructose intake with the rise in metabolic syndrome and gender differences in its incidence, this study was aimed at evaluating and identifying the optimal reference genes for the relative quantification of gene expression by real-time PCR in the adipose tissue of female rats exposed to a fructose-enriched diet as an animal model of metabolic syndrome. The transcription of four commonly used reference genes, BA, HPRT1, TBP and B2M, was quantified by TaqMan real-time PCR. The expression stability of these genes was evaluated by direct comparison of Ct values and by using the geNorm and NormFinder algorithms. NormFinder revealed HPRT1 as the most stable gene, and both programs identified HPRT1 and TBP as the most stable combination of genes in this experimental paradigm. In addition, HPRT1 was shown to be reliable enough as the sole reference gene.

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 score0.042
Threshold uncertainty score0.213

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 head0.059
GPT teacher head0.346
Teacher spread0.287 · 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

Citations5
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueArchives of Biological SciencesSame topicMolecular Biology Techniques and ApplicationsFrench-language works237,207