Novel reference gene RPN1 for normalization of quantitative data in lung and kidney cancer

Quantitative methods of gene expression analysis in tumors require accurate data normalization, which allows comparison of different mRNA/cDNA samples with unknown concentration. For this purpose reference genes with stable expression level (such as GAPDH, ACTB, HPRT1, TBP) are used. The choice of appropriate reference genes is still actual because well-known reference genes are not suitable for certain cancer types frequently and their unreasonable use without additional tests lead to wrong conclusions. We have developed the bioinformatic approach and selected a new potential reference gene RPN1 for lung and kidney tumors. This gene is located at the long arm of chromosome 3. Our method includes mining of the dbEST and Oncomine databases and functional analysis of genes. The RPN1 was selected from 1500 candidate housekeeping genes. Using comparative genomic hybridization with NotI-microarrays we found no methylation, deletions and/or amplifications at the RPN1-containing locus in 56 non-small cell lung and 42 clear cell renal cancer samples. Using RT-qPCR we showed low variability of RPN1 mRNA level comparable to those of reference genes GAPDH and GUSB in lung and kidney cancer. The mRNA levels of two target genes coding hyalouronidases--HYAL1 and HYAL2--were estimated and normalized relative to pair RPN1--GAPDH genes for lung cancer and RPN1--GUSB for kidney cancer. These combinations were shown to be optimal for obtaining accurate and reproducible data. All obtained results allow us to suggest RPN1 as novel reference gene for quantitative data normalization in gene expression studies for lung and kidney cancers.     

Selection of reference genes for gene expression studies in astrocytomas

This study was aimed to test a panel of six housekeeping genes (GAPDH, HPRT1, POLR2A, RPLP0, ACTB, and H3F) so as to identify and validate the most suitable reference genes for expression studies in astrocytomas. GAPDH was the most stable and HPRT1 was the least stable reference gene. The effect of reference gene selection on quantitative real-time polymerase chain reaction data interpretation was demonstrated, normalizing the expression data of a selected gene of interest. Thus, GAPDH may be recommended for data normalization in gene expression studies in astrocytomas. Nevertheless, a preliminary validation of reference gene stability is required prior to every study.     

What is beyond a qRT‐PCR study on mesenchymal stem cell differentiation properties: how to choose the most reliable housekeeping genes

In the last years, mesenchymal stem cells (MSCs) have been identified as an attractive cell population in regenerative medicine. In view of future therapeutic applications, the study of specific differentiation‐related gene expression is a pivotal prerequisite to define the most appropriate MSC source for clinical translation. In this context, it is crucial to use stable housekeeping genes (HGs) for normalization of qRT‐PCR to obtain validated and comparable results. By our knowledge, an exhaustive validation study of HGs comparing MSCs from different sources under various differentiation conditions is still missing. In this pivotal study, we compared the expression levels of 12 genes (ACTB, Β2M, EF1alpha, GAPDH, GUSB, PPIA, RPL13A, RPLP0, TBP, UBC, YWHAZ and 18S rRNA) to assess their suitability as HGs in MSCs during adipogenic, osteogenic and chondrogenic differentiation. We demonstrated that many of the most popular HGs including 18S rRNA, B2M and ACTB were inadequate for normalization, whereas TBP/YWHAZ/GUSB were frequently identified among the best performers. Moreover, we showed the dramatic effects of suboptimal HGs choice on the quantification of cell differentiation markers, thus interfering with a reliable comparison of the lineage potential properties among various MSCs. Thus, in the emerging field of regenerative medicine, the identification of the most appropriate MSC source and cell line is so crucial for the treatment of patients that being inaccurate in the first step of the stem cell characterization can bring important consequences for the patients and for the promising potential of stem cell therapy.     

Selection and Validation of Reference Genes for Normalization of RT-qPCR Analysis in Developing or Abiotic-Stressed Tissues of Loquat (<i>Eriobotrya japonica</i>)

Loquat (Eriobotrya japonica Lindl.) is a subtropical evergreen fruit tree that produces fruits with abundant nutrients and medicinal components. Confirming suitable reference genes for a set of loquat samples before qRT-PCR experiments is essential for the accurate quantification of gene expression. In this study, eight candidate reference genes were selected from our previously published RNA-seq data, and primers for each candidate reference gene were designed and evaluated. The Cq values of the candidate reference genes were calculated by RT-qPCR in 31 different loquat samples, including 12 subgroups of developing or abiotic-stressed tissues. Different combinations of stable reference genes were screened according to a comprehensive rank, which was synthesized from the results of four algorithms, including the geNorm, NormFinder, BestKeeper and ΔCt methods. The screened reference genes were verified by normalizing EjLGA1 in each subgroup. The obtained suitable combinations of reference genes for accurate normalization were GAPDH, EF1α and ACT for floral development; GAPDH, UBCE and ACT for fruit setting; EF1α, GAPDH and eIF2B for fruit ripening; ACT, EF1α and UBCE for leaves under heat stress; eIF2B, UBCE and EF1α for leaves under freezing stress; EF1α, TUA and UBCE for leaves under salt stress; ACT, EF1α and eIF2B for immature pulp under freezing stress; ACT, UBCE and eIF2B for immature seeds under freezing stress; EF1α, eIF2B and UBCE for both immature pulp and seeds under freezing stress; UBCE, TUB and TUA for red-fleshed fruits under cold-storage stress; eIF2B, RPS3 and TUB for white-fleshed fruits under cold-storage stress; and eIF2B, UBCE and RPS3 for both red- and white-fleshed fruits under cold-storage stress. This study obtained different combinations of stable reference genes for accurate normalization in twelve subgroups of developing or abiotic-stressed tissues in loquat. To our knowledge, this is the first report to obtain stable reference genes for normalizing gene expression of abiotic-stressed tissues in E. japonica. The use of the three most stable reference genes could increase the reliability of future quantification experiments.     

Selection of Stable Reference Genes for Quantitative Real-Time PCR on <i>Paeonia ostii</i> T. Hong et J. X. Zhang Leaves Exposed to Different Drought Stress Conditions

The definition of relatively stable expressed internal reference genes is essential in both traditional blotting quantification and as a modern data quantitative strategy. Appropriate internal reference genes can accurately standardize the expression abundance of target genes to avoid serious experimental errors. In this study, the expression profiles of ten candidate genes, ACT1, ACT2, GAPDH, eIF1, eIF2, α-TUB, β-TUB, TBP, RNA Pol II and RP II, were calculated for a suitable reference gene selection in Paeonia ostii T. Hong et J. X. Zhang leaves under various drought stress conditions. Data were processed by the four regularly used evaluation software. A comprehensive analysis revealed that RNA Pol II was the most stable gene and eIF2 was the least stable one. In addition, the geNorm program provided the optimal choice of two reference gene combination, RNA Pol II and β-TUB, for qRT-PCR normalization in P. ostii subjected to different drought stress levels. Our research provided convenience for gene expression analysis in P. ostii under drought stress and promoted research of effective methods to alleviate P. ostii drought stress in the future.     

Evaluation of reference genes for real‐time PCR quantification of gene expression in the Australian sheep blowfly,Lucilia cuprina

The Australian sheep blowfly, Lucilia cuprina (Wiedemann) (Diptera: Calliphoridae), is an important pest of sheep in Australia and other parts of the world. However, the paucity of information on many fundamental molecular aspects of this species limits the ability to exploit functional genomics techniques for the discovery of new drug targets for its control. The present study aimed to facilitate gene expression studies in this species by identifying the most suitable reference genes for normalization of mRNA expression data. Quantitative real‐time polymerase chain reaction (PCR) was performed with 11 genes across RNA samples from eggs, L1, L3, pupae and adult life stages, and two normalization programs, Normfinder and geNorm, were then applied to the data. The results showed an ideal set of genes (18S rRNA, 28S rRNA, GST1, β‐tubulin and RPLPO) for data normalization across all life stages. The most suitable reference genes for studies within specific life stages were also identified. GAPDH was shown to be a poor reference gene. The reference gene recommendations in this study will be of use to laboratories investigating gene expression in L. cuprina and related blowfly species     

Evaluation and selection of reliable reference genes for gene expression under abiotic stress in cotton (Gossypium hirsutum L.)

Reference genes are critical for normalization of the gene expression level of target genes. The widely used housekeeping genes may change their expression levels at different tissue under different treatment or stress conditions. Therefore, systematical evaluation on the housekeeping genes is required for gene expression analysis. Up to date, no work was performed to evaluate the housekeeping genes in cotton under stress treatment. In this study, we chose 10 housekeeping genes to systematically assess their expression levels at two different tissues (leaves and roots) under two different abiotic stresses (salt and drought) with three different concentrations. Our results show that there is no best reference gene for all tissues at all stress conditions. The reliable reference gene should be selected based on a specific condition. For example, under salt stress, UBQ7, GAPDH and EF1A8 are better reference genes in leaves; TUA10, UBQ7, CYP1, GAPDH and EF1A8 were better in roots. Under drought stress, UBQ7, EF1A8, TUA10, and GAPDH showed less variety of expression level in leaves and roots. Thus, it is better to identify reliable reference genes first before performing any gene expression analysis. However, using a combination of housekeeping genes as reference gene may provide a new strategy for normalization of gene expression. In this study, we found that combination of four housekeeping genes worked well as reference genes under all the stress conditions.     

Validation of reference genes for quantitative real-time polymerase chain reaction assay of honeybee under various pesticide treatment conditions

In quantitative real-time polymerase chain reaction (qRT-PCR), target gene expression levels are normalized to internal reference gene(s) that are stably expressed across different conditions to determine whether they are up- or down-regulated. Therefore, it is essential to select appropriate reference gene(s) for the accurate comparison of target gene expression across different experimental conditions. Honeybee colonies can be damaged due to pesticide exposure, resulting in a decline of their population. Determination of gene expression levels is important for understanding the physiological response of honeybees to pesticide exposure. Therefore, in this study, we used qRT-PCR to analyze the expression stability of five candidate reference genes (RPS5, RPS18, GAPDH, ARF1, and RAB1a) in honeybees subjected to treatment with different dosages and exposure durations of seven pesticides (acetamiprid, imidacloprid, flupyradifurone, fenitrothion, carbaryl, amitraz, and bifenthrin) using four programs (geNorm, NormFinder, BestKeeper, and RefFinder). Subsequently, the expression levels of the target genes (PER, FOR, and EGR1) were calculated using different normalization methods and compared. Based on our collective results, we propose RPS5 as the most appropriate reference gene for the normalization of target gene expression levels in qRT-PCR assays for honeybees under various conditions of pesticide exposure, including pesticide type, exposure duration, and concentration.     

Evaluation of the stability of standard reference genes of adipose-derived mesenchymal stem cells during in vitro proliferation and differentiation

Mesenchymal stem cells (MSCs) from a variety of sources are being used in pre-clinical and clinical studies. The choice of optimal source for treatment of diseases requires quantitative evaluation of self-renewal, proliferation and differentiation potencies of MSCs. For this purpose, quantitative real-time polymerase chain reaction (qRT-PCR) technique is used to determine the expression of genes. qRT-PCR requires the normalization of the gene expression levels by the use of reference genes in order to obtain accurate and reliable results. There is a limited number of studies focused on the selection of reference genes that are appropriate and reliable for MSCs. Thus, no single reference gene has yet been found for use in the in vitro proliferation and differentiation of MSCs. The aim of this study is to investigate the stability of the expression of widely used reference genes during the in vitro proliferation and differentiation of human adipose-derived mesenchymal stem cells (hASCs). For this purpose, 13 reference genes commonly used in MSC studies were selected. As a result, the expression stabilities of EF1α, RPLP0 and RPL13A genes were found to be high and were predicted to be suitable for use as reference genes for normalization in hASC studies. The GAPDH was identified as the gene with the lowest expression stability and evaluated to be an unsuitable reference gene for hASC differentiation studies. This piece of information could be crucial for the selection of appropriate reference genes and accurate measurement of gene expression in hASC studies.

     

Validation of reference genes for real-time quantitative PCR studies in gene expression levels of <Emphasis Type="Italic">Lactobacillus casei</Emphasis> Zhang

Lactobacillus casei Zhang, a potential probiotic strain isolated from homemade koumiss in Inner Mongolia of China, has been sequenced and deposited in GenBank. Real-time quantitative PCR is one of the most widely used methods to study related gene expression levels of Lactobacillus casei Zhang. For accurate and reliable gene expression analysis, normalization of gene expression data using one or more appropriate reference genes is essential. We used three statistical methods (geNorm, NormFinder, and BestKeeper) to evaluate the expression levels of five candidate reference genes (GAPD, gyrB, LDH, 16s rRNA, and recA) under different culture conditions and different growth phases to find a suitable housekeeping gene which can be used as internal standard. The results showed that the best reference gene was GAPD, and a set of two genes, GAPD and gyrB (which were the most stable reference genes), is recommended for normalization of real-time quantitative PCR experiments under all the different experimental conditions tested. The systematic validation of candidate reference genes is important for obtaining reliable analysis results of real-time quantitative PCR studies in gene expression levels of Lactobacillus casei Zhang.     

Selection of suitable reference genes for quantitative real-time PCR in trabecular meshwork cells under oxidative stress

Oxidative stress-induced dysfunction in trabecular meshwork (TM) cells is considered a major alteration that can lead to glaucoma. Hydrogen peroxide (H₂O₂) is the most widely used agent for inducing oxidation in TM cells in vitro. Quantitative real-time PCR (qPCR) is an important method for studying alterations in gene expression, and suitable (i.e. invariant) reference genes must be defined to normalize expression levels. In this study, eight common reference genes, i.e. PRS18, ACTB, B2M, GAPDH, PPIA, HPRT1, YWHAZ, and TBP, were evaluated for use in studies of H₂O₂-induced dysfunction in TM cells. Three established algorithms, geNorm, NormFinder, and BestKeeper, were used to analyze the reference genes. ACTB expression was least affected by H₂O₂ treatment in TM cells, and the combination of PPIA and HPRT1 was the most suitable gene pair for normalization. GAPDH and TBP were the most unstable genes and accordingly should be avoided in experiments with TM cells. These results provide a foundation for analyses of the mechanisms underlying glaucoma, and emphasize the importance of selecting suitable reference genes for qPCR studies.     

Selection and evaluation of reference genes for quantitative gene expression analysis in broomcorn millet (<Emphasis Type="Italic">Panicum miliaceum</Emphasis> L.)

The appropriate reference genes are crucial for normalization of the target gene expression in qRT-PCR analysis. Broomcorn millet (Panicum miliaceum L.) is one of the most important crops in drought areas worldwide, while the systematical investigation and evaluation of reference genes has not been investigated in this species up to now. Here, 9 commonly used reference genes were selected to detect their expressional stability in different tissues and under different stresses in broomcorn millet. ΔC_t, BestKeeper, NormFinder and GeNorm approaches were used to evaluate the potentiality of these candidate genes as the reference gene in broomcorn millet. Taken together, results found that 18S and GAPDH were the suitable reference genes for gene expression normalization in different tissues and under stress treatment in broomcorn millet. This was the first study to investigate the reference genes for qRT-PCR analysis in broomcorn millet, which will facilitate the gene expression studies and also accelerate revealing the molecular mechanism of well-adapted extreme climatic conditions.     

Expression Profiling and Validation of Potential Reference Genes During <Emphasis Type="Italic">Paralichthys olivaceus</Emphasis> Embryogenesis

Differential expression of genes is crucial to embryogenesis. The analysis of gene expression requires appropriate references that should be minimally regulated during the embryonic development. To select the most stable genes for gene normalization, the expression profiles of eight commonly used reference genes (ACTB, GAPDH, rpL17, α-Tub, EF1-α, UbcE, B2M, and 18S rRNA) were examined during Japanese flounder (Paralichthys olivaceus) embryonic development using quantitative real-time polymerase chain reaction. It was found that all seven mRNA genes appeared to be developmentally regulated and exhibited significant variation of expression. However, further analyses revealed the stage-specific expression stability. Hence when normalization using these mRNA genes, the differential and stage-related expression should be considered. 18S rRNA gene, on the other hand, showed the most stable expression and could be recommended as a suitable reference gene during all embryonic developmental stages in P. olivaceus. In summary, our results provided not only the appropriate reference gene for embryonic development research in P. olivaceus, but also possible guidance to reference gene selection for embryonic gene expression analyses in other fish species.