Evidence map›Paper›PMID 20217898›Full record

ArticleJournal of cellular biochemistry2010

Validation and application of normalization factors for gene expression studies in rubella virus-infected cell lines with quantitative real-time PCR.

S Chey, C Claus, U G Liebert

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Journal of cellular biochemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

S CheyInstitute of Virology, University of Leipzig, Leipzig, Germany.
C Claus
U G Liebert
Leipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reference genes are generally employed in real-time quantitative PCR (RT-qPCR) experiments to normalize variability between different samples. The aim of this study was to identify and validate appropriate reference genes as internal controls for RT-qPCR experiments in rubella virus (RV)-infected Vero and MCF-7 cell lines using SYBR green fluorescence. The software programs geNorm and NormFinder and the DeltaDeltaC(t) calculation were used to determine the expression stability and thus reliability of nine suitable reference genes. HPRT1 and HUEL, and HUEL and TBP were identified to be most suitable for RT-qPCR analysis of RV-infected Vero and MCF-7 cells, respectively. These genes were used as normalizers for transcriptional activity of selected cellular genes. The results confirm previously published microarray and Northern blot data, particularly on the transcriptional activity of the cyclin-dependent kinase inhibitor p21 and the nuclear body protein SP100. Furthermore, the mRNA level of the mitochondrial protein p32 is increased in RV-infected cells. The effect on cellular gene transcription by RV-infection seems to be cell line-specific, but genes of central importance for viral life cycle appear to be altered to a similar degree. This study does not only provide an accurate and flexible tool for the quantitative analysis of gene expression patterns in RV-infected cell lines. It also indicates, that the suitability of a reference gene as normalizer of RT-qPCR data and the host-cell response to RV-infection are strictly cell-line specific.

Indexed as

Gene Expression RegulationAnimalsCell Line, TumorChlorocebus aethiopsCOS CellsGene Expression ProfilingGene Expression Regulation, NeoplasticGenome, ViralHumansProtein BindingReference StandardsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRubellaRubella virusRNA, Messenger

Identifiers

PMID20217898
PMCPMC7166394
OpenAlexW2138299964

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.