scholarly journals Identification of stable reference genes for lipopolysaccharide-stimulated macrophage gene expression studies

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Roshini Kalagara ◽  
Weimin Gao ◽  
Honor L. Glenn ◽  
Colleen Ziegler ◽  
Laura Belmont ◽  
...  

Gene expression studies which utilize lipopolysaccharide (LPS)-stimulated macrophages to model immune signaling are widely used for elucidating the mechanisms of inflammation-related disease. When expression levels of target genes are quantified using Real-Time quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR), they are analyzed in comparison to reference genes, which should have stable expression. Judicious selection of reference genes is, therefore, critical to interpretation of qRT-PCR results. Ideal reference genes must be identified for each experimental system and demonstrated to remain constant under the experimental conditions. In this study, we evaluated the stability of eight common reference genes: Beta-2-microglobulin (B2M), Cyclophilin A/Peptidylprolyl isomerase A, glyceraldehyde-3-phosphatedehydrogenase (GAPDH), Hypoxanthine Phosphoribosyltransferase 1, Large Ribosomal Protein P0, TATA box binding protein, Ubiquitin C (UBC), and Ribosomal protein L13A. Expression stability of each gene was tested under different conditions of LPS stimulation and compared to untreated controls. Reference gene stabilities were analyzed using Ct value comparison, NormFinder, and geNorm. We found that UBC, closely followed by B2M, is the most stable gene, while the commonly used reference gene GAPDH is the least stable. Thus, for improved accuracy in evaluating gene expression levels, we propose the use of UBC to normalize PCR data from LPS-stimulated macrophages.

2019 ◽  
Vol 70 (4) ◽  
pp. 261-267
Author(s):  
Gaigai Du ◽  
Liyuan Wang ◽  
Huawei Li ◽  
Peng Sun ◽  
Jianmin Fu ◽  
...  

Background and aims Persimmon (Diospyros kaki) is an economically important fruit tree species with complex flowering characteristics. To obtain accurate expression pattern analysis results, it is vital to select a reliable gene for the normalization of real-time quantitative polymerase chain reaction data. The aim of this study was to identify the optimal internal control gene among six candidate genes for gene expression analysis in different persimmon organs and developmental stages. Materials and methods This analysis was conducted using geNorm and NormFinder software to show differences in the stability of the six reference genes among tissues and floral developmental stages of the same plant. Results Although genes that exhibited moderate expression in NormFinder revealed slightly different expression stabilities than those obtained by geNorm, both sets of results showed that GAPDH was the best reference gene in different organs and floral buds at different developmental stages, whereas 18SrRNA was the least stable gene. Conclusions Based on the overall ranking, GAPDH is the most suitable reference gene and is highly recommended for gene expression studies in different organs and different developmental stages of persimmon. This study provides useful reference data for future gene expression studies and will contribute to improving the accuracy of gene expression results in persimmon.


2021 ◽  
Author(s):  
Zhongyi Yang ◽  
Rui Zhang ◽  
Zhichun Zhou

Abstract Background Quantitative real-time PCR (qRT-PCR) is a reliable and high-throughput technique for gene expression studies, but its accuracy depends on the expression stability of reference genes. Schima superba is a strong resistance and fast-growing timber specie. However, so far, reliable reference gene identifications have not been reported in S. superba. In this study, we screened and verified the stably expressed reference genes in different tissues of S. superba.Results Nineteen candidate reference genes were selected and evaluated for their expression stability in different tissues. Three software programs (geNorm, NormFinder, and BestKeeper) were used to evaluate the reference gene transcript stabilities, and comprehensive stability ranking was generated by the geometric mean method. Our results identified that SsuACT was the most stable reference gene, SsuACT + SsuRIB was the best reference genes combination for different tissues. Finally, the stable and less stable reference genes were verified using the SsuSND1 expression in different tissues.Conclusions This is the first report to verify the appropriate reference genes for normalizing gene expression in S. superba for different tissues, which will facilitate future elucidation of gene regulations in this species, and useful references for relative species.


2014 ◽  
Vol 14 (94) ◽  
pp. 1-10 ◽  
Author(s):  
Yu Wang ◽  
Zhong-Kang Wang ◽  
Yi Huang ◽  
Yu-Feng Liao ◽  
You-Ping Yin

2014 ◽  
Vol 24 (4) ◽  
pp. 341-352 ◽  
Author(s):  
Paulo R. Ribeiro ◽  
Bas J. W. Dekkers ◽  
Luzimar G. Fernandez ◽  
Renato D. de Castro ◽  
Wilco Ligterink ◽  
...  

AbstractReverse transcription-quantitative polymerase chain reaction (RT-qPCR) is an important technology to analyse gene expression levels during plant development or in response to different treatments. An important requirement to measure gene expression levels accurately is a properly validated set of reference genes. In this context, we analysed the potential use of 17 candidate reference genes across a diverse set of samples, including several tissues, different stages and environmental conditions, encompassing seed germination and seedling growth in Ricinus communis L. These genes were tested by RT-qPCR and ranked according to the stability of their expression using two different approaches: GeNorm and NormFinder. GeNorm and Normfinder indicated that ACT, POB and PP2AA1 comprise the optimal combination for normalization of gene expression data in inter-tissue (heterogeneous sample panel) studies. We also describe the optimal combination of reference genes for a subset of root, endosperm and cotyledon samples. In general, the most stable genes suggested by GeNorm are very consistent with those indicated by NormFinder, which highlights the strength of the selection of reference genes in our study. We also validated the selected reference genes by normalizing the expression levels of three target genes involved in energy metabolism with the reference genes suggested by GeNorm and NormFinder. The approach used in this study to identify stably expressed genes, and thus potential reference genes, was applied successfully for R. communis and it provides important guidelines for RT-qPCR studies in seeds and seedlings for other species (especially in those cases where extensive microarray data are not available).


2016 ◽  
Author(s):  
Joske Ruytinx ◽  
Tony Remans ◽  
Jan V Colpaert

Quantitative reverse transcription PCR (qRT-PCR) has become the standard technique for the expression analysis of a set of chosen genes of interest. The accuracy and reliability of qRT-PCR measurements strongly depends on the normalization with appropriate endogenous reference genes. In this study a set of candidate reference genes for the use in gene expression studies of a basidiomycete fungus, Suillus luteus, exposed to toxic concentrations of zinc or cadmium was identified, evaluated and validated. Seven candidate genes were selected from cDNA-AFLP as stably expressed and the algorithms geNorm and Normfinder were used to evaluate these genes alongside the traditionally used housekeeping genes (actin, tubulin) in different S. luteus isolates. The use of several S. luteus isolates revealed that each isolate has its own most stably expressed set of reference genes, regardless of the metal treatments, in casu metal exposures. Metal treatments had only a minor impact on the expression of the candidate reference genes. The validated reference genes outperform the in fungal research commonly used single, arbitrary chosen (“housekeeping”) genes in terms of reliability, and have the potential to be suitable reference genes when studying the effect of other environmental factors. A relatively high number of reference genes is required to correct for intraspecific variability when studying natural populations.


Crustaceana ◽  
2018 ◽  
Vol 91 (10) ◽  
pp. 1195-1210 ◽  
Author(s):  
Yabo Fang ◽  
Le Diao ◽  
Fengying Zhang ◽  
Lingbo Ma ◽  
Mengdi Zhao ◽  
...  

Abstract The quantitative real-time transcription-polymerase chain reaction (qRT-PCR) is now used widely in studies about mRNA expression levels. The selection of one or more stable reference gene(s) used for data normalization is substantial. In this study, expression levels of eleven candidate reference genes (β-actin, 16S rRNA, 18S rRNA, 28S rRNA, α-I tubulin, GAPDH, ribosomal protein L13, elongation factor 1 α, elongation factor 2, arginine kinase and ubiquitin) were examined using the GenomeLab GeXP analysis system (Beckman Coulter). Gene expression data were analysed using two different statistical models: geNorm and NormFinder. (1) In six different tissues (hepatopancreas, haemocytes, heart, gill, muscle, and testis) from the mud crab, Scylla paramamosain, 18S rRNA and elongation factor 1 α were identified as the two best reference genes. (2) In the haemocytes after being challenged by Vibro parahaemolyticus, the result suggested that ubiquitin was the most stable gene after the treatment. 18S rRNA, elongation factor 1 α and ubiquitin are herein recommended as the best combination. These results provide useful options for reference gene selection under different experimental conditions in qRT-PCR studies in the mud crab.


2021 ◽  
Vol 12 (3) ◽  
pp. 1011-1017
Author(s):  
Marina Mokhtar Et.al

Quantitative real-time polymerase chain reaction (qRT-PCR) is one of the most common methods for gene expression studies. Data normalization based on reference genes is essential for qRT-PCR assays. This study identifies suitable reference genes for local chilli, Capsicum annuum var MC11 under incident of Cucumber mosaic virus infection. Six candidate genes actin, tub, EF1α, GAPDH, TEF1α and 18SrRNA and three validated Capsicum reference genes UBI-3 ref, β-tub ref and gapdhref were tested against five chilli plant parts stem, shoot, leave, flower and root.  The PCR/qRT-PCR results demonstrate only five candidate references genes actin, EF1α, GAPDH, 18SrRNA, and TEF1α that show specific single band of amplicon, without primer dimers and at the targeted sizes. Through qRT-PCR, GAPDH gives single peak in dissociation curve in all plant parts used further fulfilling the characteristic of reference genes.Previous work on validation of reference genes in pepper shows that only UBI-3 suits to C. annuum var MC11 infected CMV, thus we suggest that GAPDH has a potential to be a validated reference gene for C. annuum var MC11 and can be used together UBI-3 for the purpose of data normalization. 


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