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

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.

SUBMITTER: Chey S

PROVIDER: S-EPMC7166394 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:The use of stably expressed genes as normalizers has crucial role in accurate and reliable expression analysis estimated by quantitative real-time polymerase chain reaction (qPCR). Recent studies have shown that, the expression levels of common housekeeping genes are varying in different tissues and experimental conditions. The genomic DNA contamination in RNA samples is another important factor that also influence the interpretation of the data obtained from qPCR. It is estimated that the gDNA contamination in gene expression analysis lead to an overestimation of the RNA transcript level. The aim of this study was to validate the most stably expressed reference genes in two different tissues of Aeluropus littoralis-halophyte grass at salt stress and recovery condition. Also, a qPCR-based approach for monitoring contamination with gDNA was conducted. RESULTS:Ten candidate reference genes participating in different biological processes were analyzed in four groups of samples including root and leaf tissues, salt stress and recovery condition. To determine the most stably expressed reference genes, three statistical methods (geNorm, NormFinder and BestKeeper) were applied. According to results obtained, ten candidate reference genes were ranked based on the stability of their expression. Here, our results show that a set of four housekeeping genes (HKGs) e.g. RPS3, EF1A, GTF and RPS12 could be used as general reference genes for the all selected conditions and tissues. Also, four set of reference genes were proposed for each tissue and condition including: RPS3, EF1A and UBQ for salt stress and root samples; RPS3, EF1A, UBQ as well as GAPDH for recovery condition; U2SURP and GTF for leaf samples. Additionally, for assessing DNA contamination in RNA samples, a set of unique primers were designed based on the conserved region of ribosomal DNA (rDNA). The universality, specificity and sensitivity of these primer pairs were also evaluated in Poaceae. CONCLUSIONS:Overall, the sets of reference genes proposed in this study are ideal normalizers for qPCR analysis in A. littoralis transcriptome. The novel reference gene e.g. RPS3 that applied this study had higher expression stability than commonly used housekeeping genes. The application of rDNA-based primers in qPCR analysis was addressed.

Project description:Nicotiana benthamiana is the most widely-used experimental host in plant virology. The recent release of the draft genome sequence for N. benthamiana consolidates its role as a model for plant-pathogen interactions. Quantitative real-time PCR (qPCR) is commonly employed for quantitative gene expression analysis. For valid qPCR analysis, accurate normalisation of gene expression against an appropriate internal control is required. Yet there has been little systematic investigation of reference gene stability in N. benthamiana under conditions of viral infections. In this study, the expression profiles of 16 commonly used housekeeping genes (GAPDH, 18S, EF1?, SAMD, L23, UK, PP2A, APR, UBI3, SAND, ACT, TUB, GBP, F-BOX, PPR and TIP41) were determined in N. benthamiana and those with acceptable expression levels were further selected for transcript stability analysis by qPCR of complementary DNA prepared from N. benthamiana leaf tissue infected with one of five RNA plant viruses (Tobacco necrosis virus A, Beet black scorch virus, Beet necrotic yellow vein virus, Barley stripe mosaic virus and Potato virus X). Gene stability was analysed in parallel by three commonly-used dedicated algorithms: geNorm, NormFinder and BestKeeper. Statistical analysis revealed that the PP2A, F-BOX and L23 genes were the most stable overall, and that the combination of these three genes was sufficient for accurate normalisation. In addition, the suitability of PP2A, F-BOX and L23 as reference genes was illustrated by expression-level analysis of AGO2 and RdR6 in virus-infected N. benthamiana leaves. This is the first study to systematically examine and evaluate the stability of different reference genes in N. benthamiana. Our results not only provide researchers studying these viruses a shortlist of potential housekeeping genes to use as normalisers for qPCR experiments, but should also guide the selection of appropriate reference genes for gene expression studies of N. benthamiana under other biotic and abiotic stress conditions.

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

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