Evidence map›Paper›PMID 22675547›Full record

ArticlePloS one2012

A novel strategy for selection and validation of reference genes in dynamic multidimensional experimental design in yeast.

Ayca Cankorur-Cetinkaya, Elif Dereli, Serpil Eraslan, Erkan Karabekmez, Duygu Dikicioglu, Betul Kirdar

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Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

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25citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  11. Glycolytic flux inThe Biochemical journal · 2019
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ayca Cankorur-CetinkayaDepartment of Chemical Engineering, Bogazici University, Bebek, Istanbul, Turkey.
Elif Dereli
Serpil Eraslan
Erkan Karabekmez
Duygu Dikicioglu
Betul Kirdar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the dynamic mechanism behind the transcriptional organization of genes in response to varying environmental conditions requires time-dependent data. The dynamic transcriptional response obtained by real-time RT-qPCR experiments could only be correctly interpreted if suitable reference genes are used in the analysis. The lack of available studies on the identification of candidate reference genes in dynamic gene expression studies necessitates the identification and the verification of a suitable gene set for the analysis of transient gene expression response. PRINCIPAL

findingsIn this study, a candidate reference gene set for RT-qPCR analysis of dynamic transcriptional changes in Saccharomyces cerevisiae was determined using 31 different publicly available time series transcriptome datasets. Ten of the twelve candidates (TPI1, FBA1, CCW12, CDC19, ADH1, PGK1, GCN4, PDC1, RPS26A and ARF1) we identified were not previously reported as potential reference genes. Our method also identified the commonly used reference genes ACT1 and TDH3. The most stable reference genes from this pool were determined as TPI1, FBA1, CDC19 and ACT1 in response to a perturbation in the amount of available glucose and as FBA1, TDH3, CCW12 and ACT1 in response to a perturbation in the amount of available ammonium. The use of these newly proposed gene sets outperformed the use of common reference genes in the determination of dynamic transcriptional response of the target genes, HAP4 and MEP2, in response to relaxation from glucose and ammonium limitations, respectively.

conclusionsA candidate reference gene set to be used in dynamic real-time RT-qPCR expression profiling in yeast was proposed for the first time in the present study. Suitable pools of stable reference genes to be used under different experimental conditions could be selected from this candidate set in order to successfully determine the expression profiles for the genes of interest.

Indexed as

Research DesignGene Expression ProfilingGene Expression Regulation, FungalGenes, FungalGenetic Association StudiesGlucoseQuaternary Ammonium CompoundsReference StandardsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSoftware DesignGlucoseQuaternary Ammonium CompoundsSaccharomyces cerevisiae Proteins

Identifiers

PMID22675547
PMCPMC3366934

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.