Proper Selection Of Reference Genes Research Articles

Screening of Reference Genes for Quantitative Real-Time PCR Analysis in Tissues and during Testis Development, and Application to Analyze the Expression of kifc1 in Hemibarbus labeo (Teleostei, Cypriniformes, Cyprinidae).

The selection of proper reference genes is vital for ensuring precise quantitative real-time PCR (qPCR) assays. This study evaluates the stability of the expression of nine candidate reference genes in different tissues and during testicular development in H. labeo. The results show that eef1a is recommended as a reference gene for qPCR analysis in tissues and during testicular development. Furthermore, we evaluated the optimal number of reference genes needed when calculating gene expression levels using the geomean method, revealing that two reference genes are sufficient. Specifically, eef1a and rps27 are recommended for analysis of gene expression in tissues, whereas eef1a and actb are advised for evaluating gene expression during testicular development. In addition, we examined the expression pattern of kifc1, a kinesin involved in the reshaping of spermatids. We detected peak expression levels of kifc1 in testes, with its expression initially increasing before decreasing throughout testicular development. The highest expression of kifc1 was observed in stage IV testes, the active period of spermiogenesis, suggesting a possible role for kifc1 in the regulation of the reshaping of spermatids and hence testicular development. This study represents the first investigation of reference genes for H. labeo, providing a foundation for studying gene expression patterns and investigating gene expression regulation during testicular development.

EndoGeneAnalyzer: A tool for selection and validation of reference genes.

The selection of proper reference genes is critical for accurate gene expression analysis in all fields of biological and medical research, mainly because there are many distinctions between different tissues and specimens. Given this variability, even in known classic reference genes, demands of a comprehensive analysis platform is needed to identify the most suitable genes for each study. For this purpose, we present an analysis tool for assisting in decision-making in the analysis of reverse transcription-quantitative polymerase chain reaction (RT-qPCR) data. EndoGeneAnalyzer, an open-source web tool for reference gene analysis in RT-qPCR studies, was used to compare the groups/conditions under investigation. This interactive application offers an easy-to-use interface that allows efficient exploration of datasets. Through statistical and stability analyses, EndoGeneAnalyzer assists in the select of the most appropriate reference gene or set of genes for each condition. It also allows researchers to identify and remove unwanted outliers. Moreover, EndoGeneAnalyzer provides a graphical interface to compare the evaluated groups, providing a visually informative differential analysis.

Reference genes for the developing mouse lung under consideration of biological, technical and experimental confounders

For gene expression analysis, the raw data obtained from RT-qPCR are preferably normalized to reference genes, which should be constantly expressed regardless of experimental conditions. Selection of reference genes is particularly challenging for the developing lung because of the complex transcriptional and epigenetic regulation of genes during organ maturation and injury repair. To date, there are only limited experimental data addressing reliable reference genes for this biological circumstance. In this study, we evaluated reference genes for the lung in neonatal C57BL/6 mice under consideration of biological, technical and experimental conditions. For that, we thoroughly selected candidates from commonly used reference genes side-by-side with novel ones by analyzing publicly available microarray datasets. We performed RT-qPCR of the selected candidate genes and analyzed their expression variability using GeNorm and Normfinder. Cell-specific expression of the candidate genes was analyzed using our own single-cell RNA-sequencing data from the developing mouse lung. Depending on the investigated conditions, i.e., developmental stages, sex, RNA quality, experimental condition (hyperoxia) and cell types, distinct candidate genes demonstrated stable expression confirming their eligibility as reliable reference genes. Our results provide valuable information for the selection of proper reference genes in studies investigating the neonatal mouse lung.

Carex muskingumensis and Osmotic Stress: Identification of Reference Genes for Transcriptional Profiling by RT-qPCR.

Carex muskingumensis is a highly valued perennial ornamental grass cultivated worldwide. However, there is limited genetic data regarding this species. Selection of proper reference genes (RGs) for reverse transcription quantitative PCR (RT-qPCR) data normalization has become an essential step in gene expression analysis. In this study, we aimed to examine expression stability of nine candidate RGs in C. muskingumensis plants, subjected to osmotic stress, generated either by salinity or PEG treatment. The identification of genes exhibiting high expression stability was performed by four algorithms (geNorm, NormFinder, BestKeeper and deltaCt method). The results showed that the combination of two genes would be sufficient for reliable expression data normalization. ADP (ADP-ribosylation factor) and TBP (TATA-box-binding protein) were identified as the most stably expressed under salinity treatment, while eIF4A (eukaryotic initiation factor 4A) and TBP were found to show the highest stability under PEG-induced drought. A set of three genes (ADP, eIF4A and TBP) displayed the highest expression stability across all experimental samples tested in this study. To our best knowledge, this is the first report regarding RGs selection in C. muskingumensis. It will provide valuable starting point information for conducting further analyses in this and related species concerning their responses to water shortage and salinity stress.

Validation of the Reference Genes for the Gene Expression Studies in Chicken DT40 Cell Line.

The selection of a suitable reference gene assures a reliable gene expression analysis when using the qPCR method. Normalization of the reaction is based on the basic metabolism genes. These genes show a constant, unregulated expression in all cells and function throughout their lifetime. In the current study, seven reference gene candidates were screened using RT-qPCR, to determine the best-matched pair of reference genes in the chicken DT40 cell line. The DT40 was derived from bursal lymphoma cells that were subjected to RAV-1 bird retroviral infection. It is a simplified in vitro model that allows tracking the direct interaction of stimulants on the lymphoid population and profiling of the hepatocellular B cell transcriptome. The reference gene analysis was carried out using statistical tools integrating four independent methods—geNorm, Best Keeper, NormFinder, delta Ct and RefFinder. Based on the selected reference genes, the relative gene expression analysis was done using the ddCt method. Complete relative gene expression study on a panel of the target genes revealed that proper selection of reference genes depending on the tissue eliminate decreases in data quality. The SDHA and RPL4 genes constitute stable internal controls as reference genes when analyzing gene expression in the DT40 cell line.

Transcriptome-based validation of proper reference genes for reverse trascription quantitative PCR analysis of Sinocalycanthus chinensis

Reverse transcription quantitative PCR is a widely used method to detect gene expressions. To obtain accurate expression results, the selection of proper reference genes is important and necessary. However, related works concerning reference gene selection have not been carried on many plant species, especially endangered ones. The aim of the present study was to select dependable reference genes for expression normalization of an endangered plant species with medicinal and ornamental value: Sinocalycanthus chinensis (Calycanthaceae). Nine reference genes with stable expressions were chosen for further analysis according to transcriptomic sequencing data from S. chinensis. The expression stability of these candidate genes in inner and outer petals at different floral developmental stages and in many different tissues was then analyzed with the geNorm and NormFinder software. The reference genes were evaluated by normalizing the expression of the anthocyanidin synthase gene in the outer and inner petals at different floral developmental stages to further verify the expression stability of these genes. Elongation factor 1-alpha (ScEF) and 50S ribosomal protein L27 were found to be the two most stable genes in the overall ranking of all the samples and different tissues. Furthermore, ScEF and protein phosphatase 2A were stably expressed in all petal samples. Moreover, among the nine candidate reference genes, phosphoglycerate kinase performed poorly in all sample sets. Our results will help to obtain reliable expression data in molecular studies of S. chinensis.

Identification of suitable reference microRNA for qPCR analysis in pediatric inflammatory bowel disease.

Pediatric inflammatory bowel disease (IBD) accounts for 10-15% of IBD and is associated with considerable morbidity for patients. Dysregulated microRNAs (miRNA, miR), small noncoding RNA molecules that modulate gene expression, have been the target of research in IBD diagnosis, surveillance, and therapy. Proper selection of reference genes, which are a prerequisite for accurate measurement of miRNA expression, is currently lacking. We hypothesize that appropriate normalization requires unique reference genes for different tissue and disease types. Through the study of 28 pediatric intestinal samples, we sought to create a protocol for selection of suitable endogenous reference genes. Candidate reference genes (miR-16, 193a, 27a, 103a, 191) were analyzed by RT-quantitative (q)PCR. Criteria used for designation of suitable reference genes were as follows: 1) ubiquitous: present in all tissue samples with quantification cycle value 15-35; 2) uniform expression: no differential expression between control and disease samples (P > 0.05); 3) stability: stability value <0.5 by NormFinder. Our results suggest the use of miR-27a/191 for Crohn's disease small bowel, none of the five candidate genes for Crohn's disease colon, and miR-16/27a for ulcerative colitis. Additionally, target miR-874 had differential expression when normalized with different reference genes. Our results demonstrate that reference gene choice for qPCR analysis has a significant effect on study results and that proper data normalization is imperative.

Genome-Wide Identification and Evaluation of New Reference Genes for Gene Expression Analysis Under Temperature and Salinity Stresses in Ciona savignyi.

Rapid adaptation/accommodation to changing environments largely contributes to maximal survival of invaders during biological invasions, usually leading to success in crossing multiple barriers and finally in varied environments in recipient habitats. Gene expression is one of the most important and rapid ways during responses to environmental stresses. Selection of proper reference genes is the crucial prerequisite for gene expression analysis using the common approach, real-time quantitative PCR (RT-qPCR). Here we identified eight candidate novel reference genes from the RNA-Seq data in an invasive model ascidian Ciona savignyi under temperature and salinity stresses. Subsequently, the expression stability of these eight novel reference genes, as well as other six traditionally used reference genes, was evaluated using RT-qPCR and comprehensive tool RefFinder. Under the temperature stress, two traditional reference genes, ribosomal proteins S15 and L17 (RPS15, RPL17), and one novel gene Ras homolog A (RhoA), were recommended as the top three stable genes, which can be used to normalize target genes with a high and moderate expression level, respectively. Under the salinity stress, transmembrane 9 superfamily member (TMN), MOB kinase activator 1A-like gene (MOB) and ubiquitin-conjugating enzyme (UBQ2) were suggested as the top three stable genes. On the other hand, several commonly used reference genes such as α-tubulin (TubA), β-tubulin (TubB) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) showed unstable expressions, thus these genes should not be used as internal controls for gene expression analysis. We also tested the expression level of an important stress response gene, large proline-rich protein bag6-like gene (BAG) using different reference genes. As expected, we observed different results and conclusions when using different normalization methods, thus suggesting the importance of selection of proper reference genes and associated normalization methods. Our results provide a valuable reference gene resource for the normalization of gene expression in the study of environmental adaptation/accommodation during biological invasions using C. savignyi as a model.

Identification and evaluation of reference genes for accurate gene expression normalization of fresh and frozen-thawed spermatozoa of water buffalo (Bubalus bubalis)

The quantitative real time PCR (qRT-PCR) has become an important tool for gene-expression analysis for a selected number of genes in life science. Although large dynamic range, sensitivity and reproducibility of qRT-PCR is good, the reliability majorly depend on the selection of proper reference genes (RGs) employed for normalization. Although, RGs expression has been reported to vary considerably within same cell type with different experimental treatments. No systematic study has been conducted to identify and evaluate the appropriate RGs in spermatozoa of domestic animals. Therefore, this study was conducted to analyze suitable stable RGs in fresh and frozen-thawed spermatozoa. We have assessed 13 candidate RGs (BACT, RPS18s, RPS15A, ATP5F1, HMBS, ATP2B4, RPL13, EEF2, TBP, EIF2B2, MDH1, B2M and GLUT5) of different functions and pathways using five algorithms. Regardless of the approach, the ranking of the most and the least candidate RGs remained almost same. The comprehensive ranking by RefFinder showed GLUT5, ATP2B4 and B2M, MDH1 as the top two stable and least stable RGs, respectively. The expression levels of four heat shock proteins (HSP) were employed as a target gene to evaluate RGs efficiency for normalization. The results demonstrated an exponential difference in expression levels of the four HSP genes upon normalization of the data with the most stable and the least stable RGs. Our study, provides a convenient RGs for normalization of gene-expression of key metabolic pathways effected during freezing and thawing of spermatozoa of buffalo and other closely related bovines.

Validation of candidate reference genes for gene expression normalization in Buchloe dactyloides using quantitative real-time RT-PCR

The proper selection of reference genes to normalize the quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) results under special experimental conditions is crucial for quantifying gene expression. A systematic reference gene screening was performed using SYBR green qRT-PCR on 10 candidate genes in 27 biological samples of various photoperiodic treatments and different tissues in Buchloe dactyloides. Analysis by 3 different qRT-PCR methods (GeNorm, NormFinder, and BestKeeper) indicated that a combination of beta actin (β-ACT), dnaj protein gene (DNAJ) and protein phosphatase 2a (PP2A) were the most suitable reference genes across all samples examined. While the expression of the β-ACT and PP2A were the most stable genes in the long day (LD)-treated plant samples, glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH) and β-ACT performed more stably in short day (SD) and constant dark (24D)-treated plant samples. β-ACT and PP2A displayed the most stable expression under constant light (24L) condition. β-ACT and DNAJ were the optimal reference genes in different tissues. Furthermore, examination of relative expression of a functional gene long hypocotyl 5 (HY5) in LD-treated RNA samples demonstrated additional reference genes contribute to accurate quantitative expression analysis. This study will help the selection of the most stable reference genes for accurate gene expression studies in B. dactyloides.

Identification of reference microRNAs for quantitative expression analysis in porcine peripheral blood mononuclear cells treated with polyinosinic-polycytidylic acid.

Peripheral blood mononuclear cells (PBMCs) are clinically important cells. Detection of microRNAs (miRNAs) expression in PBMCs can be useful for miRNA biomarker discovery for various diseases. Quantitative real-time PCR (qRT-PCR) has become an important method used for measuring miRNAs expression. However, the reliability of qRT-PCR data critically depends on proper selection of reference genes. Here, we performed qRT-PCR to quantify the expression levels of nine miRNAs (Ssc-miR-16, Hsa-miR-25, Ssc-miR-34a, Hsa-miR-93, Bta-miR-92b, Ssc-miR-103, Ssc-miR-106a, Ssc-miR-128 and Ssc-miR-107) and one small nuclear RNA (U6) in PBMCs treated with polyinosinic-polycytidylic acid [poly (I:C)] that widely used for simulating viral infection. We used the four statistical algorithms (GeNorm 3.5, NormFinder, BestKeeper and comparative ∆ Ct method) to evaluate gene expression stability and observed that Ssc-miR-34a was the best single reference gene and the pair of Ssc-miR-107 and Ssc-miR-103 was the best combination of reference miRNAs for porcine PBMCs treated with poly (I:C). Our study shows the first evidence of careful selection of reference miRNAs in porcine PBMCs and maybe helpful for discovering miRNA biomarkers for double-stranded RNA-induced disease.

Selection of Reference Genes for Gene Expression Studies in Porcine Whole Blood and Peripheral Blood Mononuclear Cells under Polyinosinic:Polycytidylic Acid Stimulation.

Investigating gene expression of immune cells of whole blood or peripheral blood mononuclear cells (PBMC) under polyinosinic:polycytidylic acid (poly I:C) stimulation is valuable for understanding the immune response of organism to RNA viruses. Quantitative real-time PCR (qRT-PCR) is a standard method for quantification of gene expression studies. However, the reliability of qRT-PCR data critically depends on proper selection of reference genes. In the study, using two different analysis programs, geNorm and NormFinder, we systematically evaluated the gene expression stability of six candidate reference genes (GAPDH, ACTB, B2M, RPL4, TBP, and PPIA) in samples of whole blood and PBMC with or without poly I:C stimulation. Generally, the six candidate genes performed a similar trend of expression stability in the samples of whole blood and PBMC, but more stably expressed in whole blood than in PBMC. geNorm ranked B2M and PPIA as the best combination for gene expression normalization, while according to NormFinder, TBP was ranked as the most stable reference gene, followed by B2M and PPIA. Comprehensively considering the results from the two programs, we recommended using the geometric mean of the three genes, TBP, PPIA and B2M, to normalize the gene expression of whole blood and PBMC with poly I:C stimulation. Our study is the first detailed survey of the gene expression stability in whole blood and PBMC with or without poly I:C stimulation and should be helpful for investigating the molecular mechanism involved in porcine whole blood and PBMC in response to poly I:C stimulation.

Selection of Reference Genes in Equine White Blood Cells for Real Time PCR Normalization Following Extracorporeal Shock Wave Therapy

Selection of proper reference genes (RGs) is an essential step needed for accurate normalization of results from genomic studies. Expression of RGs is regulated by many factors such as species, age, gender, type of tissue, the presence of disease, and the administration of therapeutic treatment. The aim of the present study was to identify optimal RGs in a set of blood samples collected at different time points (0, 24, 48, 72 h) from horses following administration of extracorporeal shock wave therapy (ESWT). The mRNA expression of twelve RGs: HPRT1, ACTB, HSP90A, SDHA, GUSB, B2M, UBC, NONO, TBP, H6PD, RPL32, GAPDH was determined using real time quantitative polymerase chain reaction (qPCR). An SAS program developed on the algorithm of geNorm, SASqPCR, was used to determine stability of the expression and the number of optimal RGs. The results showed that the range of quantification cycle (Cq) values of the evaluated genes varied between 17 and 26 cycles, and that one optimal RG, ACTB, was sufficient for normalization of gene expression. Results of stability of expression demonstrated that ACTB was the optimal choice for all the samples studied. Notably, in samples collected at 72 h post ESWT, TBP showed a significant change in the expression level, and was not suitable for use as a RG. These results substantiate the importance of validating and selecting an appropriate RG.

Effective Alu Repeat Based RT-Qpcr Normalization in Cancer Cell Perturbation Experiments

BackgroundMeasuring messenger RNA (mRNA) levels using the reverse transcription quantitative polymerase chain reaction (RT-qPCR) is common practice in many laboratories. A specific set of mRNAs as internal control reference genes is considered as the preferred strategy to normalize RT-qPCR data. Proper selection of reference genes is a critical issue, especially in cancer cells that are subjected to different in vitro manipulations. These manipulations may result in dramatic alterations in gene expression levels, even of assumed reference genes. In this study, we evaluated the expression levels of 11 commonly used reference genes as internal controls for normalization of 19 experiments that include neuroblastoma, T-ALL, melanoma, breast cancer, non small cell lung cancer (NSCL), acute myeloid leukemia (AML), prostate cancer, colorectal cancer, and cervical cancer cell lines subjected to various perturbations.ResultsThe geNorm algorithm in the software package qbase+ was used to rank the candidate reference genes according to their expression stability. We observed that the stability of most of the candidate reference genes varies greatly in perturbation experiments. Expressed Alu repeats show relatively stable expression regardless of experimental condition. These Alu repeats are ranked among the best reference assays in all perturbation experiments and display acceptable average expression stability values (M<0.5).ConclusionsWe propose the use of Alu repeats as a reference assay when performing cancer cell perturbation experiments.

Selection of valid reference genes for expression studies of hepatic cell lines under IFN-α treatment

The proper selection of reference genes to normalize the quantitative real-time PCR (RT-qPCR) results under particular experimental conditions is crucial for validation of the gene quantification data. Herein, using SYBR green RT-qPCR, five reference genes (GAPDH, ACTB, HMBS, HPRT-1 and TBP) were evaluated to determine the most stable reference genes in hepatic cell lines (Huh-7 and HepG2) under IFN-α treatment conditions. Analyses by geNorm program ranked GAPDH and HPRT-1 in Huh-7 and that of ACTB and HMBS in HepG2 cells as the most stable reference genes under IFN-α treatment. While, same reference gene pairs were ranked by NormFinder program in Huh-7 cells, GAPDH was assessed as the most stable gene in HepG2 group by this program, implying the importance of the employed algorithm in comparative interpretation of the data. Finally, cumulative analyses by one-way ANOVA, geNorm and NormFinder programs indicated that use of two reference genes (HMBS and GAPDH) in Huh-7 and three (HMBS, ACTB and GAPDH) in HepG2 cells would greatly improve the normalization of the RT-qPCR data under IFN-α. Data presented in this paper will aid the selection of the most stable reference genes in RT-qPCR studies on evaluation of hepatic viral proteins and IFN pathway.

Validation of reference genes for real-time quantitative PCR normalisation in non-heading Chinese cabbage.

Non-heading Chinese cabbage is an important vegetable crop that includes pak choi, caixin and several Japanese vegetables like mizuna, mibuna and komatsuna. Gene expression studies are frequently used to unravel the genetics of complex traits and in such studies the proper selection of reference genes for normalisation is crucial. We assessed the expression of 13 candidate reference genes including ACTIN, ACTIN-1, ACTIN-2, GAPDH, Tub_α, CyP, EF1-α, 18S rRNA, UBQ, UBC30, PPR, PP2A and MDH. Their expression stabilities were analysed using two programs, geNorm and NormFinder, in 20 different samples that represent four strategic groups. Results showed that no single gene was uniformly expressed in all tested samples. ACTIN and CyP are proposed as good reference genes when studying developmental stages. CyP, Tub_α and UBC30 are good reference genes when studying different tissues (from flowering to seed set). CyP and Tub_α are the most stable reference genes under biotic stress treatments using the fungi Peronospora parasitica and Alternaria brassicicola. UBC30, EF1-α and ACTIN are recommended for normalisation in abiotic stress studies, including hormone, salt, drought, cold and heath treatments. Moreover, at least five reference genes (ACTIN, CyP, UBC30, EF1-α and UBQ) are required for accurate qRT-PCR data normalisation when studying gene expression across all tested samples.

Instability of standard PCR reference genes in adipose-derived stem cells during propagation, differentiation and hypoxic exposure

BackgroundFor the accurate determination of gene expression changes during growth and differentiation studies on adipose-derived stem cells (ASCs), quantitative real-time RT-PCR has become a method of choice. The technology is very sensitive, however, without a proper selection of reference genes, to which the genes of interest are normalized, erroneous results may be obtained.ResultsIn this study, we have compared the gene expression levels of a panel of twelve widely used reference genes during hypoxic culture, osteogenic and chondrogenic differentiation, and passaging of primary human ASCs. We found that several of the commonly used reference genes including 18S rRNA, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and beta-actin were unsuitable for normalization in the conditions we tested, whereas tyrosine 3/tryptophan 5-monooxygenase activation protein (YMHAZ), TATAA-box binding protein (TBP), beta-glucuronidase (GUSB) were the most stable across all conditions.ConclusionWhen determining gene expression levels in adipose-derived stem cells, we recommend normalizing transcription levels to the geometric mean of YMHAZ, TBP and GUSB.