Literature DB >> 28655566

Determination of suitable reference genes for RT-qPCR analysis of murine Cytomegalovirus in vivo and in vitro.

Marion Griessl1, Michael Gutknecht1, Charles H Cook2.   

Abstract

Reverse transcription quantitative PCR (RT-qPCR) is the most commonly used method to evaluate gene expression. Reliable qPCR results are highly dependent on accurate normalization using suitable reference genes. We investigated expression of commonly used reference genes during murine Cytomegalovirus (mCMV) infection and latency to determine those genes least perturbed by infection. Following mCMV infection in BALB/c mice, lung, salivary gland, liver, spleen and kidney were evaluated. Liver sinusoidal endothelial cells and NIH-3T3 cells were also evaluated. RT-qPCR was performed during acute and latent mCMV infection for 11 commonly used reference genes with comparisons made to uninfected samples. Normfinder, BestKeeper, GeNorm and the comparative delta CT method produced comparable analyses that were combined in RefFinder to generate an overall ranking. Ppia, B2m and Gapdh are the most stable reference genes for in vitro infection studies. For in vivo studies the most suitable reference genes were highly tissue and cell type dependent. Comparing infected and uninfected groups revealed viral influence on transcription of some genes. We provide reference gene guidelines for investigations of gene expression for mCMV Smith strain infection of Balb/cJ mice or NIH-3T3 cells. These results also suggest careful consideration of reference genes for different host tissues evaluated.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Murine Cytomegalovirus; RT-qPCR; Reference gene

Mesh:

Substances:

Year:  2017        PMID: 28655566      PMCID: PMC6775634          DOI: 10.1016/j.jviromet.2017.06.012

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  23 in total

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Review 10.  With Reference to Reference Genes: A Systematic Review of Endogenous Controls in Gene Expression Studies.

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  1 in total

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