Evidence map›Paper›PMID 23065266›Full record

ArticleMolecular biology reports2012

Selection of reference genes for use in quantitative reverse transcription PCR assays when using interferons in U87MG.

Dania Vázquez-Blomquist, Julio Raúl Fernández, Jamilet Miranda, Claudia Bello, José A Silva, Regla C Estrada, Lidia Inés Novoa, Daniel Palenzuela, Iraldo Bello

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Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

7 citing papers in PubMed, 22 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

9 authors at 1 institution in 2 countries.

Dania Vázquez-BlomquistDepartment of Genomic, Center for Genetic Engineering and Biotechnology, Ave. 31 e/158 & 190, Playa, 10600, Havana, Cuba. dania.vazquez@cigb.edu.cu
Julio Raúl Fernández
Jamilet Miranda
Claudia Bello
José A Silva
Regla C Estrada
Lidia Inés Novoa
Daniel Palenzuela
Iraldo Bello
Centro de Ingeniería Genética y Biotecnología · CU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relative gene quantification by quantitative reverse transcription PCR (qRT-PCR) is an accurate technique only when a correct normalization strategy is carried out. Some of the most commonly genes used as reference have demonstrated variation after interferon (IFN) treatments. In this work we evaluated the suitability of seven reference genes (RGs) [glyceraldehyde-3-phosphate dehydrogenase (GAPDH), hydroxymethylbilane synthase (HMBS), β-2Microglobulin (B2M), ribosomal RNA subunits 18S and 28S, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide (YWHAZ) and the RNA helicase (DDX5)] for use in qRT-PCR assays in the glioblastoma-derived cell line U87MG treated with IFNα, IFNγ or a co-formulated combination of both IFNs (HeberPAG); untreated cell lines were included as control. Data was analyzed using geNorm and NormFinder softwares. The expression stability of the seven RGs decreased in order of DDX5/GAPDH/HMBS, 18S rRNA, YWHAZ, 28S rRNA and B2M. qRT-PCR analyses demonstrated that DDX5, GAPDH and HMBS were among the best stably expressed markers under all conditions. Both, geNorm and NormFinder, analyses proposed same RGs as the least variables. Evaluation of the expression levels of two target genes utilizing different endogenous controls, using REST-MCS software, revealed that the normalization method applied might introduce errors in the estimation of relative quantities. We concluded that when qRT-PCR is designed for studies of gene expression in U87MG cell lines treated with IFNs type I and II or their combinations, the use of all three GAPDH, HMBS and DDX5 (or their combinations in pairs) as RGs for data normalizations is recommended.

Indexed as

Cell Line, TumorGene Expression Regulation, NeoplasticGenes, NeoplasmGenetic Association StudiesHumansInterferon-alphaInterferon-gammaInterferonsReference StandardsReverse Transcriptase Polymerase Chain ReactionReverse TranscriptionSoftwareInterferon-alphaInterferon-gammaInterferons

Identifiers

PMID23065266
OpenAlexW2080604015

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.