Selection Of Suitable Reference Genes Research Articles

Selection and validation of reference genes for quantitative RT-PCR analysis in peach fruit under different experimental conditions

Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is a powerful tool for the detection and quantification of target gene expression levels. The accuracy of qRT-PCR data largely depends on the stability of the reference genes used for data normalization. Thus, the selection of suitable reference genes for qRT-PCR is necessary for accurate gene expression, especially under specific experimental conditions. In this study, stably expressed genes in peach fruit stored at various postharvest temperatures were screened based on RNA-seq data. Four newly identified stable genes and 12 traditional reference genes were selected as candidates. Their expression stability was examined in the peel and flesh of peach stored at five different temperatures (5°C, 15°C, 25°C, ambient temperature, and 35°C). Gene expression was further characterized in different plant tissues (root, stem, leaf, flower, and fruit) and fruit developmental stages. The overall performance of each candidate in all sample sets was also evaluated. As a result, the expression of PpeIF-1A was the most stable across the set of all samples, peel and flesh samples at different storage temperatures, and fruit developmental stages. PpGAPDH stability ranked highest in plant tissues. In general, PpeIF-1A and PpMUB6 were the most appropriate reference genes for all five experiments whereas PpRPS28, PpRPT-5A, and PpAKT3 were unsuitable control genes with variable expression patterns. The relative expression of the phytoene synthase gene PpPSY1 was assessed to confirm the utility of the selected reference genes in this study. Taken together, this study identified the reference genes suitable for the accurate and reliable normalization of peach gene expression data under different experimental conditions. The novel reference gene PpMUB6 exhibited stable expression compared to most of the traditional reference genes. These results provide guidance for selecting reliable internal control genes and will benefit future gene expression analysis in a wide variety of conditions in peach.

Validation of optimal reference genes for quantitative real time PCR in muscle and adipose tissue for obesity and diabetes research

The global incidence of obesity has led to an increasing need for understanding the molecular mechanisms that drive this epidemic and its comorbidities. Quantitative real-time RT-PCR (RT-qPCR) is the most reliable and widely used method for gene expression analysis. The selection of suitable reference genes (RGs) is critical for obtaining accurate gene expression information. The current study aimed to identify optimal RGs to perform quantitative transcriptomic analysis based on RT-qPCR for obesity and diabetes research, employing in vitro and mouse models, and human tissue samples. Using the ReFinder program we evaluated the stability of a total of 15 RGs. The impact of choosing the most suitable RGs versus less suitable RGs on RT-qPCR results was assessed. Optimal RGs differed between tissue and cell type, species, and experimental conditions. By employing different sets of RGs to normalize the mRNA expression of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α), we show that sub-optimal RGs can markedly alter the PGC1α gene expression profile. Our study demonstrates the importance of validating RGs prior to normalizing transcriptional expression levels of target genes and identifies optimal RG pairs for reliable RT-qPCR normalization in cells and in human and murine muscle and adipose tissue for obesity/diabetes research.

Selection of suitable reference genes for abiotic stress-responsive gene expression studies in peanut by real-time quantitative PCR

Background: Due to its strong specificity and high accuracy, real-time quantitative PCR (RT-qPCR) has been a widely used method to study expression of genes responsive to stress. It is crucial to have a suitable set of reference genes to normalize target gene expression in peanut under different conditions using RT-qPCR. In this study, 11 candidate reference genes were selected and examined under abiotic stresses (drought, salt, heavy metal and low temperature) and hormone (SA and ABA) conditions as well as across different organ types. Three statistical algorithms (geNorm, NormFinder and BestKeeper) were used to evaluate the expression stabilities of reference genes and the comprehensive rankings of gene stability were generated. Results: The results indicated that EFL1B and YLS8 were the most stable reference genes under PEG simulated drought treatment. For high-salt treatment by NaCl, YLS8 and GAPDH were the most stable genes. Under CdCl 2 treatment, UBI1 and YLS8 were suitable as stable reference genes. UBI1 , ADH3 and ACTIN11 were sufficient for gene expression normalization in low-temperature experiment. All the 11 candidate reference genes showed relative high stability under hormone treatments. For organs subset, UBI1 , GAPDH and EFL1B were with the maximum stability. UBI1 and ADH3 were the top two genes which could be used reliably in all of the stress conditions assessed. Furthermore, the necessity of the reference genes screened was further confirmed by the expression pattern of AnnAhs . Normal 0 false false false ES-CL X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Tabla normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0cm; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri,sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Times New Roman; mso-bidi-theme-font:minor-bidi; mso-ansi-language:ES-CL;} Conclusions: The results perfect the selection of stable reference genes for future gene expression studies in peanut and provide a list of reference genes may be used in the future. Normal 0 false false false EN-US X-NONE X-NONE <w:LsdException Locked=

Selection of Suitable Reference Genes for Quantitative Real-time PCR in Sapium sebiferum.

Chinese tallow (Sapium sebiferum L.) is a promising landscape and bioenergy plant. Measuring gene expression by quantitative real-time polymerase chain reaction (qRT-PCR) can provide valuable information on gene function. Stably expressed reference genes for normalization are a prerequisite for ensuring the accuracy of the target gene expression level among different samples. However, the reference genes in Chinese tallow have not been systematically validated. In this study, 12 candidate reference genes (18S, GAPDH, UBQ, RPS15, SAND, TIP41, 60S, ACT7, PDF2, APT, TBP, and TUB) were investigated with qRT-PCR in 18 samples, including those from different tissues, from plants treated with sucrose and cold stresses. The data were calculated with four common algorithms, geNorm, BestKeeper, NormFinder, and the delta cycle threshold (ΔCt). TIP41 and GAPDH were the most stable for the tissue-specific experiment, GAPDH and 60S for cold treatment, and GAPDH and UBQ for sucrose stresses, while the least stable genes were 60S, TIP41, and 18S respectively. The comprehensive results showed APT, GAPDH, and UBQ to be the top-ranked stable genes across all the samples. The stability of 60S was the lowest during all experiments. These selected reference genes were further validated by comparing the expression profiles of the chalcone synthase gene in Chinese tallow in different samples. The results will help to improve the accuracy of gene expression studies in Chinese tallow.

Identification of suitable reference genes in leaves and roots of rapeseed (Brassica napus L.) under different nutrient deficiencies

Nutrient deficiency stresses often occur simultaneously in soil. Thus, it's necessary to investigate the mechanisms underlying plant responses to multiple stresses through identification of some key stress-responsive genes. Quantitative real-time PCR (qRT-PCR) is essential for detecting the expression of the interested genes, of which the selection of suitable reference genes is a crucial step before qRT-PCR. To date, reliable reference genes to normalize qRT-PCR data under different nutrient deficiencies have not been reported in plants. In this study, expression of ten candidate reference genes was detected in leaves and roots of rapeseed (Brassica napus L.) after implementing different nutrient deficiencies for 14 days. These candidate genes, included two traditionally used reference genes and eight genes selected from an RNA-Seq dataset. Two software packages (GeNorm, NormFinder) were employed to evaluate candidate gene stability. Results showed that VHA-E1 was the highest-ranked gene in leaves of nutrient-deficient rapeseed, while VHA-G1 and UBC21 were most stable in nutrient-deficient roots. When rapeseed leaves and roots were combined, UBC21, HTB1, VHA-G1 and ACT7 were most stable among all samples. To evaluate the stabilities of the highest-ranked genes, the relative expression of two target genes, BnTrx1;1 and BnPht1;3 were further determined. The results showed that the relative expression of BnTrx1;1 depended on reference gene selection, suggesting that it's necessary to evaluate the stability of reference gene prior to qRT-PCR. This study provides suitable reference genes for gene expression analysis of rapeseed responses to different nutrient deficiencies, which is essential for elucidation of mechanisms underlying rapeseed responses to multiple nutrient deficiency stresses.

Selection of suitable reference genes for quantitative real-time PCR gene expression analysis in Salix matsudana under different abiotic stresses

Salix matsudana is a deciduous, rapidly growing willow species commonly cultivated in China, which can tolerate drought, salt, and heavy metal stress conditions. Selection of suitable reference genes for quantitative real-time PCR is important for normalizing the expression of the key genes associated with various stresses. To validate suitable reference genes, we selected 11 candidate reference genes (five traditional housekeeping genes and six novel genes) and analyzed their expression stability in various samples, including different tissues and under different abiotic stress treatments. The expression of these genes was determined using five programs—geNorm, NormFinder, BestKeeper, ΔCt, and RefFinder. The results showed that α-TUB2 (alpha-tubulin 2) and DnaJ (chaperone protein DnaJ 49) were the most stable reference genes across all the tested samples. We measured the expression profiles of the defense response gene SmCAT (catalase) using the two most stable and one least stable reference genes in all samples of S. matsudana. The relative quantification of SmCAT varied greatly according to the different reference genes. We propose that α-TUB2 and DnaJ should be the preferred reference genes for normalization and quantification of transcript levels in future gene expression studies in willow species under various abiotic stress conditions.

Selection of Reference Genes for qRT-PCR Analysis of Gene Expression in Stipa grandis during Environmental Stresses.

Stipa grandis P. Smirn. is a dominant plant species in the typical steppe of the Xilingole Plateau of Inner Mongolia. Selection of suitable reference genes for the quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) is important for gene expression analysis and research into the molecular mechanisms underlying the stress responses of S. grandis. In the present study, 15 candidate reference genes (EF1 beta, ACT, GAPDH, SamDC, CUL4, CAP, SNF2, SKIP1, SKIP5, SKIP11, UBC2, UBC15, UBC17, UCH, and HERC2) were evaluated for their stability as potential reference genes for qRT-PCR under different stresses. Four algorithms were used: GeNorm, NormFinder, BestKeeper, and RefFinder. The results showed that the most stable reference genes were different under different stress conditions: EF1beta and UBC15 during drought and salt stresses; ACT and GAPDH under heat stress; SKIP5 and UBC17 under cold stress; UBC15 and HERC2 under high pH stress; UBC2 and UBC15 under wounding stress; EF1beta and UBC17 under jasmonic acid treatment; UBC15 and CUL4 under abscisic acid treatment; and HERC2 and UBC17 under salicylic acid treatment. EF1beta and HERC2 were the most suitable genes for the global analysis of all samples. Furthermore, six target genes, SgPOD, SgPAL, SgLEA, SgLOX, SgHSP90 and SgPR1, were selected to validate the most and least stable reference genes under different treatments. Our results provide guidelines for reference gene selection for more accurate qRT-PCR quantification and will promote studies of gene expression in S. grandis subjected to environmental stress.

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.

Identifying suitable reference genes for gene expression analysis in developing skeletal muscle in pigs.

The selection of suitable reference genes is crucial to accurately evaluate and normalize the relative expression level of target genes for gene function analysis. However, commonly used reference genes have variable expression levels in developing skeletal muscle. There are few reports that systematically evaluate the expression stability of reference genes across prenatal and postnatal developing skeletal muscle in mammals. Here, we used quantitative PCR to examine the expression levels of 15 candidate reference genes (ACTB, GAPDH, RNF7, RHOA, RPS18, RPL32, PPIA, H3F3, API5, B2M, AP1S1, DRAP1, TBP, WSB, and VAPB) in porcine skeletal muscle at 26 different developmental stages (15 prenatal and 11 postnatal periods). We evaluated gene expression stability using the computer algorithms geNorm, NormFinder, and BestKeeper. Our results indicated that GAPDH and ACTB had the greatest variability among the candidate genes across prenatal and postnatal stages of skeletal muscle development. RPS18, API5, and VAPB had stable expression levels in prenatal stages, whereas API5, RPS18, RPL32, and H3F3 had stable expression levels in postnatal stages. API5 and H3F3 expression levels had the greatest stability in all tested prenatal and postnatal stages, and were the most appropriate reference genes for gene expression normalization in developing skeletal muscle. Our data provide valuable information for gene expression analysis during different stages of skeletal muscle development in mammals. This information can provide a valuable guide for the analysis of human diseases.

Selection of suitable reference genes for gene expression studies in normal human ovarian tissues, borderline ovarian tumours and ovarian cancer.

The use of reference genes is the most common method of controlling the variation in mRNA expression during quantitative polymerase chain reaction, although the use of traditional reference genes, such as β‑actin, glyceraldehyde‑3‑phosphate dehydrogenase or 18S ribosomal RNA, without validation occasionally leads to unreliable results. Therefore, the present study aimed to evaluate a set of five commonly used reference genes to determine the most suitable for gene expression studies in normal ovarian tissues, borderline ovarian and ovarian cancer tissues. The expression stabilities of these genes were ranked using two gene stability algorithms, geNorm and NormFinder. Using geNorm, the two best reference genes in ovarian cancer were β‑glucuronidase and β‑actin. Hypoxanthine phosphoribosyltransferase‑1 and β‑glucuronidase were the most stable in ovarian borderline tumours, and hypoxanthine phosphoribosyltransferase‑1 and glyceraldehyde‑3‑phosphate dehydrogenase were the most stable in normal ovarian tissues. NormFinder ranked β‑actin the most stable in ovarian cancer, and the best combination of two genes was β‑glucuronidase and β‑actin. In borderline tumours, hypoxanthine phosphoribosyltransferase‑1 was identified as the most stable, and the best combination was hypoxanthine phosphoribosyltransferase‑1 and β‑glucuronidase. In normal ovarian tissues, β‑glucuronidase was recommended as the optimum reference gene, and the most optimum pair of reference genes was hypoxanthine phosphoribosyltransferase‑1 and β‑actin. To the best of our knowledge, this is the first study to investigate the selection of a set of reference genes for normalisation in quantitative polymerase chain reactions in different ovarian tissues, and therefore it is recommended that β‑glucuronidase, β‑actin and hypoxanthine phosphoribosyltransferase‑1 are the most suitable reference genes for such analyses.

Identification of genes for normalization of real-time RT-PCR data in placental tissues from intrahepatic cholestasis of pregnancy

The selection of suitable reference genes is crucial for proper interpretation of RT-qPCR data. To date, a systematic screening for reference genes in placental tissues from intrahepatic cholestasis of pregnancy (ICP) is missing. Eighteen candidate reference genes were investigated to determine their applicability by descriptive statistics and published algorithms. HPRT1, YWHAZ and PUM1 were found to be the most stable genes and could be used for normalization in gene expression study of placentas from ICP. The combination of HPRT1 and YWHAZ is sufficient and the use of all three genes should be recommended for an improved reliability of normalization.

Selection of Suitable Reference Genes for Analysis of Salivary Transcriptome in Non-Syndromic Autistic Male Children

Childhood autism is a severe form of complex genetically heterogeneous and behaviorally defined set of neurodevelopmental diseases, collectively termed as autism spectrum disorders (ASD). Reverse transcriptase quantitative real-time PCR (RT-qPCR) is a highly sensitive technique for transcriptome analysis, and it has been frequently used in ASD gene expression studies. However, normalization to stably expressed reference gene(s) is necessary to validate any alteration reported at the mRNA level for target genes. The main goal of the present study was to find the most stable reference genes in the salivary transcriptome for RT-qPCR analysis in non-syndromic male childhood autism. Saliva samples were obtained from nine drug naïve non-syndromic male children with autism and also sex-, age-, and location-matched healthy controls using the RNA-stabilizer kit from DNA Genotek. A systematic two-phased measurement of whole saliva mRNA levels for eight common housekeeping genes (HKGs) was carried out by RT-qPCR, and the stability of expression for each candidate gene was analyzed using two specialized algorithms, geNorm and NormFinder, in parallel. Our analysis shows that while the frequently used HKG ACTB is not a suitable reference gene, the combination of GAPDH and YWHAZ could be recommended for normalization of RT-qPCR analysis of salivary transcriptome in non-syndromic autistic male children.

Suitable Reference Genes for Accurate Gene Expression Analysis in Parsley (Petroselinum crispum) for Abiotic Stresses and Hormone Stimuli.

Parsley, one of the most important vegetables in the Apiaceae family, is widely used in the food, medicinal, and cosmetic industries. Recent studies on parsley mainly focus on its chemical composition, and further research involving the analysis of the plant's gene functions and expressions is required. qPCR is a powerful method for detecting very low quantities of target transcript levels and is widely used to study gene expression. To ensure the accuracy of results, a suitable reference gene is necessary for expression normalization. In this study, four software, namely geNorm, NormFinder, BestKeeper, and RefFinder were used to evaluate the expression stabilities of eight candidate reference genes of parsley (GAPDH, ACTIN, eIF-4α, SAND, UBC, TIP41, EF-1α, and TUB) under various conditions, including abiotic stresses (heat, cold, salt, and drought) and hormone stimuli treatments (GA, SA, MeJA, and ABA). Results showed that EF-1α and TUB were the most stable genes for abiotic stresses, whereas EF-1α, GAPDH, and TUB were the top three choices for hormone stimuli treatments. Moreover, EF-1α and TUB were the most stable reference genes among all tested samples, and UBC was the least stable one. Expression analysis of PcDREB1 and PcDREB2 further verified that the selected stable reference genes were suitable for gene expression normalization. This study can guide the selection of suitable reference genes in gene expression in parsley.

Selection of suitable reference genes for quantitative RT-PCR normalization in the halophyte Halostachys caspica under salt and drought stress.

The plants are always subjected to various environmental stress, because of plant sessile growth. qRT-PCR is a sensitive and reliable technology, and the normalization of target gene expression with suitable reference genes is very important for obtaining accurate data. Halostachys caspica is an extremely salt-tolerant halophyte belonging to Chenopodiaceae and a good candidate to explore the stress-physiological and molecular mechanism. To get truly the expression profiles of coding genes and miRNAs in H. caspica in response to salt and drought stress using qRT-PCR, suitable reference genes need to be confirmed. In this study, 10 candidate genes including ACT, UBC10, UBC13, TUB2, TUB3, EF1α, 5S rRNA, tRNA, U6 and miR1436 from H. caspica are chosen, and among them, the former nine are commonly used as internal control genes, and miR1436 with high sequence copies is no significant difference expression in high salinity-treated and untreated small RNA libraries of this species. The three softwares are used to analyze expression stability. The results showed that EF1α and TUB3 were the most stable under salt and drought stress, respectively, and UBC10 was the most constant aross all the samples with the both stressed combination. This work will benefit deep studies on abiotic tolerance in H. caspica.

Selection of Suitable Reference Genes for RT-qPCR Normalization under Abiotic Stresses and Hormone Stimulation in Persimmon (Diospyros kaki Thunb).

The success of quantitative real-time reverse transcription polymerase chain reaction (RT-qPCR) to quantify gene expression depends on the stability of the reference genes used for data normalization. To date, systematic screening for reference genes in persimmon (Diospyros kaki Thunb) has never been reported. In this study, 13 candidate reference genes were cloned from 'Nantongxiaofangshi' using information available in the transcriptome database. Their expression stability was assessed by geNorm and NormFinder algorithms under abiotic stress and hormone stimulation. Our results showed that the most suitable reference genes across all samples were UBC and GAPDH, and not the commonly used persimmon reference gene ACT. In addition, UBC combined with RPII or TUA were found to be appropriate for the "abiotic stress" group and α-TUB combined with PP2A were found to be appropriate for the "hormone stimuli" group. For further validation, the transcript level of the DkDREB2C homologue under heat stress was studied with the selected genes (CYP, GAPDH, TUA, UBC, α-TUB, and EF1-α). The results suggested that it is necessary to choose appropriate reference genes according to the test materials or experimental conditions. Our study will be useful for future studies on gene expression in persimmon.

Validation of Suitable Reference Genes for Assessing Gene Expression of MicroRNAs in Lonicera japonica.

MicroRNAs (miRNAs), which play crucial regulatory roles in plant secondary metabolism and responses to the environment, could be developed as promising biomarkers for different varieties and production areas of herbal medicines. However, limited information is available for miRNAs from Lonicera japonica, which is widely used in East Asian countries owing to various pharmaceutically active secondary metabolites. Selection of suitable reference genes for quantification of target miRNA expression through quantitative real-time (qRT)-PCR is important for elucidating the molecular mechanisms of secondary metabolic regulation in different tissues and varieties of L. japonica. For precise normalization of gene expression data in L. japonica, 16 candidate miRNAs were examined in three tissues, as well as 21 cultivated varieties collected from 16 production areas, using GeNorm, NormFinder, and RefFinder algorithms. Our results revealed combination of u534122 and u3868172 as the best reference genes across all samples. Their specificity was confirmed by detecting the cycling threshold (Ct) value ranges in different varieties of L. japonica collected from diverse production areas, suggesting the use of these two reference miRNAs is sufficient for accurate transcript normalization with different tissues, varieties, and production areas. To our knowledge, this is the first report on validation of reference miRNAs in honeysuckle (Lonicera spp.). Restuls from this study can further facilitate discovery of functional regulatory miRNAs in different varieties of L. japonica.

Selection of Suitable Reference Genes for Quantitative Real-Time PCR Normalization in Three Types of Rat Adipose Tissue.

Quantitative real-time PCR (qRT-PCR) is the most classical technique in the field of gene expression study. This method requires an appropriate reference gene to normalize mRNA levels. In this study, the expression stability of four frequently-used reference genes in epididymal white adipose tissue (eWAT), inguinal beige adipose tissue (iBeAT) and brown adipose tissue (BAT) from obese and lean rats were evaluated by geNorm, NormFinder and BestKeeper. Based on the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines, the two most stable reference genes were recommended in each type of adipose tissue. Two target genes were applied to test the stability of the reference genes. The geNorm and NormFinder results revealed that GAPDH and 36B4 exhibited the highest expression stabilities in eWAT, while 36B4 and β-actin had the highest expression stabilities in iBeAT and BAT. According to the results of the BestKeeper analysis, 36B4 was the most stable gene in eWAT, iBeAT and BAT, in terms of the coefficient of variance. In terms of the coefficient of correlation, GAPDH, 36B4 and β-actin were the most stable genes in eWAT, iBeAT and BAT, respectively. Additionally, expected results and statistical significance were obtained using a combination of two suitable reference genes for data normalization. In conclusion, 36B4 and GAPDH, in combination, are the best reference genes for eWAT, while 36B4 and β-actin are two most suitable reference genes for both iBeAT and BAT. We recommend using these reference genes accordingly.

Selection of suitable reference genes for gene expression studies in Staphylococcus capitis during growth under erythromycin stress.

Accurate and reproducible measurement of gene transcription requires appropriate reference genes, which are stably expressed under different experimental conditions to provide normalization. Staphylococcus capitis is a human pathogen that produces biofilm under stress, such as imposed by antimicrobial agents. In this study, a set of five commonly used staphylococcal reference genes (gyrB, sodA, recA, tuf and rpoB) were systematically evaluated in two clinical isolates of Staphylococcus capitis (S. capitis subspecies urealyticus and capitis, respectively) under erythromycin stress in mid-log and stationary phases. Two public software programs (geNorm and NormFinder) and two manual calculation methods, reference residue normalization (RRN) and relative quantitative (RQ), were applied. The potential reference genes selected by the four algorithms were further validated by comparing the expression of a well-studied biofilm gene (icaA) with phenotypic biofilm formation in S. capitis under four different experimental conditions. The four methods differed considerably in their ability to predict the most suitable reference gene or gene combination for comparing icaA expression under different conditions. Under the conditions used here, the RQ method provided better selection of reference genes than the other three algorithms; however, this finding needs to be confirmed with a larger number of isolates. This study reinforces the need to assess the stability of reference genes for analysis of target gene expression under different conditions and the use of more than one algorithm in such studies. Although this work was conducted using a specific human pathogen, it emphasizes the importance of selecting suitable reference genes for accurate normalization of gene expression more generally.

Selection of suitable reference genes for assessing gene expression in pearl millet under different abiotic stresses and their combinations.

Pearl millet [Pennisetum glaucum (L.) R. Br.] a widely used grain and forage crop, is grown in areas frequented with one or more abiotic stresses, has superior drought and heat tolerance and considered a model crop for stress tolerance studies. Selection of suitable reference genes for quantification of target stress-responsive gene expression through quantitative real-time (qRT)-PCR is important for elucidating the molecular mechanisms of improved stress tolerance. For precise normalization of gene expression data in pearl millet, ten candidate reference genes were examined in various developmental tissues as well as under different individual abiotic stresses and their combinations at 1 h (early) and 24 h (late) of stress using geNorm, NormFinder and RefFinder algorithms. Our results revealed EF-1α and UBC-E2 as the best reference genes across all samples, the specificity of which was confirmed by assessing the relative expression of a PgAP2 like-ERF gene that suggested use of these two reference genes is sufficient for accurate transcript normalization under different stress conditions. To our knowledge this is the first report on validation of reference genes under different individual and multiple abiotic stresses in pearl millet. The study can further facilitate fastidious discovery of stress-tolerance genes in this important stress-tolerant crop.

Evaluation and validation of suitable reference genes for reverse transcription-quantitative polymerase chain reaction studies in cholangiocarcinoma patients and cell lines.

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) has become a frequently used method in gene expression studies. The relative quantification method is an important and common method for the evaluation of RT-qPCR data. One of the key requirements of this method is to identify an applicable internal reference gene. However, to the best of our knowledge, no suitable reference genes have been identified for the genetic analysis of cholangiocarcinoma (CCA) in humans and cell lines. In the present study, screening was conducted using 12 common reference genes, which were selected in order to provide an experimental basis for the study of the gene expression in CCA patients and cell lines. Tumor samples and adjacent non-neoplastic tissues from 20 patients with CCA were obtained for the present study. The stability and applicability of the 12 reference gene candidates were validated using GeNorm, NormFinder and BestKeeper software. Based on a comparison of the results, the following reference genes are recommended for various tissue groups: Total sample group, ribosomal protein L29; CCA tissue group, TATA-box binding protein; CCA cell line and tissue group, actin-β; CCA cell line group, 18S ribosomal RNA; CCA tissue and adjacent non-neoplastic tissue group, 5'-aminolevulinate synthase 1; and adjacent non-neoplastic tissue group, hypoxanthine phosphoribosyltransferase 1. The results of the search also clearly reveal that a systematic study regarding the selection of suitable reference genes for studying the target gene profiling in CCA tissues and cell lines has not been previously published. The present study may provide useful information for future studies that examine the gene expression of CCA for choosing suitable reference genes.