Comparative study of different standardization concepts in quantitative competitive reverse transcription-PCR assays

Nanoparticle-Shielded dsRNA Delivery for Enhancing RNAi Efficiency in Cotton Spotted Bollworm Earias vittella (Lepidoptera: Nolidae)

The spotted bollworm Earias vittella (Lepidoptera: Nolidae) is a polyphagous pest with enormous economic significance, primarily affecting cotton and okra. However, the lack of gene sequence information on this pest has a significant constraint on molecular investigations and the formulation of superior pest management strategies. An RNA-seq-based transcriptome study was conducted to alleviate such limitations, and de novo assembly was performed to obtain transcript sequences of this pest. Reference gene identification across E. vittella developmental stages and RNAi treatments were conducted using its sequence information, which resulted in identifying transcription elongation factor (TEF), V-type proton ATPase (V-ATPase), and Glyceraldehyde -3-phosphate dehydrogenase (GAPDH) as the most suitable reference genes for normalization in RT-qPCR-based gene expression studies. The present study also identified important developmental, RNAi pathway, and RNAi target genes and performed life-stage developmental expression analysis using RT-qPCR to select the optimal targets for RNAi. We found that naked dsRNA degradation in the E. vittella hemolymph is the primary reason for poor RNAi. A total of six genes including Juvenile hormone methyl transferase (JHAMT), Chitin synthase (CHS), Aminopeptidase (AMN), Cadherin (CAD), Alpha-amylase (AMY), and V-type proton ATPase (V-ATPase) were selected and knocked down significantly with three different nanoparticles encapsulated dsRNA conjugates, i.e., Chitosan-dsRNA, carbon quantum dots-dsRNA (CQD-dsRNA), and Lipofectamine-dsRNA conjugate. These results demonstrate that feeding nanoparticle-shielded dsRNA silences target genes and suggests that nanoparticle-based RNAi can efficiently manage this pest.

Identification of stable reference genes for quantitative gene expression analysis in the duodenum of meat-type ducks

Quantitative polymerase chain reaction (qPCR) is an important method to detect gene expression at the molecular level. The selection of appropriate housekeeping genes is the key to accurately calculating the expression level of target genes and conducting gene function studies. In this study, the expression of eight candidate reference genes, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin (β-actin), 18S ribosomal RNA (18S rRNA), hydroxymethylbilane synthase (HMBS), hypoxanthine phosphoribosyltransferase 1 (HPRT1), TATA box binding protein (TBP), ribosomal protein L13 (RPL13), and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein (YWHAZ), in the duodenal epithelial tissue of 42-day-old meat-type ducks were detected using qPCR. Furthermore, their expression stability was analyzed using the geNorm, NormFinder, and BestKeeper programs. The results indicated that HMBS and YWHAZ were the most stably expressed genes. All three programs indicated that the expression of 18S rRNA was the least stable, making it unsuitable for the study of gene expression in meat-type duck tissues. This study provides stable reference genes for gene expression analysis and contributes to further studies on the gene function of meat-type ducks.

Evaluation and validation of experimental condition-specific reference genes for normalization of gene expression in Asia II-I Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae)

Functional genomics in whitefly, Bemisia tabaci is gaining impetus due to its polyphagous nature, worldwide distribution and recently sequenced whole genome. These studies require an in-depth evaluation and validation of reference genes in different development stages and variable experimental setups. Normalization with reference genes is an essential step in the gene expression studies. Rather than selecting a reference gene empirically, the suitability of these genes must be validated for an individual organism, its specific stage or even for particular experimental conditions. The Quantitative real-time polymerase chain reaction (RT-qPCR) has evolved as an efficient and widely used technique for precise monitoring of gene expression. The prime focus of this study was to identify candidate reference genes in different developmental stages (adults, nymphs, eggs), sex (male and female), hosts (Gossypium hirsutum, G. arboreum), and under insecticidal and starvation stress. Expression stability of these genes in different experimental samples was evaluated by employing five different computational algorithms such as NormFinder, BestKeeper, Comparative delta-CT, geNorm and RefFinder. Our results identified a different set of reference genes under each experimental setup such as electron transfer flavoprotein-ubiquinone oxidoreductase (ETF-QO), ubiquitin (UBIQ) and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) as best reference genes in adult whitefly. In addition, glutathione S-transferase (GST) in eggs, cyclophilin (CYCLOPH) in red eyed nymph, GAPDH in third instar, tubulin (Tub) in female, ubiquitin ribosomal protein S27 (UBIRPS2) in male, succinate dehydrogenase complex subunit B (SDHB) under insecticidal stress, ETF-QO under starvation stress, UBIRPS2 under host influence were the top most stable genes. Our studies report the importance of selection of specific reference genes for accurate gene expression studies under various experimental setups in B. tabaci.

Normalization of Gene Expression by Quantitative RT-PCR in Human Cell Line: comparison of 12 Endogenous Reference Genes

Background

Polymerase Chain Reaction (PCR) has become an important diagnostic and research tool of modern molecular biology globally. Real-time PCR allows for rapid and reliable quantification of mRNA transcription. Reference genes are used as internal reaction control to normalise mRNA levels between different samples in order to allow for an exact comparison of mRNA transcription level.

Methods

In this study, twelve commonly used human reference genes were investigated in Human Embryonic Kidney Cell Lines (HEK293) using real-time qPCR with SYBR green. The genes included beta-2-microglobulin (B2M), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), succinate dehydrogenase complex subunit A (SDHA), and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta polypeptide (YWHAZ). The stability of these reference genes was investigated using the geNorm application.

Results

The range of expression stability in the genes analysed was (from the most stable to the least stable): UBC, TOP1, ATP5B, CYC1, GAPDH, SDHA, YWHAZ, CTB, 18S, EIFA-2, B2M and RPL13A. The optimal number of reference targets in the experiment was calculated to be 2 (geNorm V<0.15) when comparing a normalization factor based on the 2 or 3 most stable targets).

Conclusion

The expression stability varied greatly between the 12 candidate reference genes. UBC, TOP1, ATP5B, CYC1 and GAPDH respectively showed the highest stability in HEK293 cells based on both expression stability and expression level. Overall, our data suggest that UBC and TOP1show the least variation and the highest expression stability. This report validates the need for rational selection of reference genes for data normalization to ensure accuracy of quantitative PCR assays.

Reference Gene Selection in Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) and Their Normalization Impact on Gene Expression in RNAi Studies

Phenacoccus solenopsis, the cotton mealybug (Hemiptera: Pseudococcidae), is one of the major cotton pests in India. Scanty information is available on molecular studies in this insect due to limited genomic or transcriptomic sequence data. With advancement in sequencing technology, enormous genomic and sequencing data are being generated, and RNAi studies are being undertaken in insects, which require reverse transcription quantitative polymerase chain reaction evaluation. These gene expression studies require normalization of mRNA levels with reference genes to account for sample variability. To supplement the molecular studies in this insect, candidate reference genes were identified and evaluated for their expression stability across various developmental stages and starvation stress. Fourteen candidate reference genes including several commonly used ones were investigated across five different stages and under starvation stress using four different statistical algorithms (NormFinder, genNorm, BestKeeper, and RefFinder). Based on this analysis, GST (third, fourth, and adult stage), Actin (Crawler, second instar), TFIID (starvation stress), SDHA, and 28s were identified as best reference genes for expression studies in mealybug.

Photodynamic inactivation in the expression of the Candida albicans genes ALS3, HWP1, BCR1, TEC1, CPH1, and EFG1 in biofilms

The objective of this study was to evaluate the effects of photodynamic inactivation (PDI) on Candida albicans biofilms, evaluating its effects on gene expression of ALS3, HWP1, BCR1, TEC1, CPH1, and EFG1 by yeast. Three samples of C. albicans were used in this study: a clinical sample from a patient with HIV (39S), a clinical sample from a patient with denture stomatitis lesion (Ca30), and a standard strain ATCC 18804. The quantification of gene expression was related to the production of those genes in the samples referred above using quantitative polymerase chain reaction (qPCR) assay in real time. The photosensitizer methylene blue at 300 uM and erythrosine at 400 uM, sensitized with low-power laser (visible red, 660 nm) and green LED (532 nm), respectively, were used for PDI. Four groups of each sample and PDI protocol were evaluated: (a) P+L+: sensitization with the photosensitizer and irradiation with light, (b) P+L-: only treatment with the photosensitizer, (c) P-L+: only irradiation with light, and (d) P-L-: without sensitization with the dye and absence of light. The results were analyzed by t test, with a significance level of 5%. The photodynamic inactivation was able to reduce the expression of all genes for both treatments, laser and LED. The fold-decrease for the genes ALS3, HWP1, BCR1, TEC1, CPH1, and EFG1 were 0.73, 0.39, 0.77, 0.71, 0.67, and 0.60 for laser, respectively, and 0.66, 0.61, .050, 0.43, 0.54, and 0.66 for LED, respectively. It could be concluded that PDI showed a reduction in the expression of C. albicans genes, suggesting its virulence decrease.

Selection of housekeeping genes and demonstration of RNAi in cotton leafhopper, Amrasca biguttula biguttula (Ishida)

Amrasca biguttula biguttula (Ishida) commonly known as cotton leafhopper is a severe pest of cotton and okra. Not much is known on this insect at molecular level due to lack of genomic and transcriptomic data. To prepare for functional genomic studies in this insect, we evaluated 15 common housekeeping genes (Tub, B-Tub, EF alpha, GADPH, UbiCF, RP13, Ubiq, G3PD, VATPase, Actin, 18s, 28s, TATA, ETF, SOD and Cytolytic actin) during different developmental stages and under starvation stress. We selected early (1st and 2nd), late (3rd and 4th) stage nymphs and adults for identification of stable housekeeping genes using geNorm, NormFinder, BestKeeper and RefFinder software. Based on the different algorithms, RP13 and VATPase are identified as the most suitable reference genes for quantification of gene expression by reverse transcriptase quantitative PCR (RT-qPCR). Based on RefFinder which comprehended the results of three algorithms, RP13 in adults, Tubulin (Tub) in late nymphs, 28S in early nymph and UbiCF under starvation stress were identified as the most stable genes. We also developed methods for feeding double-stranded RNA (dsRNA) incorporated in the diet. Feeding dsRNA targeting Snf7, IAP, AQP1, and VATPase caused 56.17-77.12% knockdown of targeted genes compared to control and 16 to 48% mortality of treated insects when compared to control.

Validation of Reference Genes for Expression Studies in Human Meningiomas under Different Experimental Settings

Quantitative polymerase chain reaction (qPCR) is a sensitive technique for the quantitative analysis of gene expression levels. To compare mRNA transcripts across tumour and non-pathological tissue, appropriate reference genes are required for internal standardisation. Validation of these reference genes in meningiomas has not yet been reported. After mRNA transcription of meningioma (WHO grade I-III) and meningeal tissue from three different experimental sample types (fresh tissue, primary cell cultures and FFPE tissue), 13 candidate reference genes (ACTB, B2M, HPRT, VIM, GAPDH, YWHAZ, EIF4A2, MUC1, ATP5B, GNB2L, TUBB, CYC1, RPL13A) were chosen for quantitative expression analysis. Two statistical algorithms (GeNorm and NormFinder) were used for validation of gene expression stability. All candidate housekeepers tested for stability were checked within and across the three tissue analysis groups. Pearson correlation, the ΔC _t method and ranking analysis identified the most non-regulated genes suitable for internal standardisation. TUBB, HPRT and ACTB were the most stably expressed genes for all analysis groups across meningioma and non-pathological meningeal tissue combined. In contrast, analysis of the consistency of reference gene expression within specific meningioma and meningeal tissues resulted in specific reference gene rankings for each tissue type. Future gene expression analyses require reference genes to be chosen that are suitable for the tissue types and for the experimental paradigms being studied. Validation of candidate housekeeper genes in meningiomas for quantitative real-time polymerase chain reaction revealed for the first time TUBB, ACTB and HPRT as the most consistently expressed genes among meningioma and non-pathological meningeal tissue across a range of experimental settings.

Normalization with Corresponding Naïve Tissue Minimizes Bias Caused by Commercial Reverse Transcription Kits on Quantitative Real-Time PCR Results

Real-time reverse transcription polymerase chain reaction (PCR) is the gold standard for expression analysis. Designed to improve reproducibility and sensitivity, commercial kits are commonly used for the critical step of cDNA synthesis. The present study was designed to determine the impact of these kits. mRNA from mouse brains were pooled to create serial dilutions ranging from 0.0625 μg to 2 μg, which were transcribed into cDNA using four different commercial reverse-transcription kits. Next, we transcribed mRNA from brain tissue after acute brain injury and naïve mice into cDNA for qPCR. Depending on tested genes, some kits failed to show linear results in dilution series and revealed strong variations in cDNA yield. Absolute expression data in naïve and trauma settings varied substantially between these kits. Normalization with a housekeeping gene failed to reduce kit-dependent variations, whereas normalization eliminated differences when naïve samples from the same region were used. The study shows strong evidence that choice of commercial cDNA synthesis kit has a major impact on PCR results and, consequently, on comparability between studies. Additionally, it provides a solution to overcome this limitation by normalization with data from naïve samples. This simple step helps to compare mRNA expression data between different studies and groups.

Identification of suitable endogenous controls for gene and miRNA expression studies in irradiated prostate cancer cells

This study aimed to to evaluate the stability of commonly used endogenous control genes for messenger RNA (mRNA) (N = 16) and miRNAs (N = 3) expression studies in prostate cell lines following irradiation. The stability of endogenous control genes expression in irradiated (6 Gy) versus unirradiated controls was quantified using NormFinder and coefficient of variation analyses. HPRT1 and 18S were identified as most and least stable endogenous controls, respectively, for mRNA expression studies in irradiated prostate cells. SNORD48 and miR16 miRNA endogenous controls tested were associated with low coefficient of variations following irradiation (6 Gy). This study highlights that commonly used endogenous controls can be responsive to radiation and validation is required prior to gene/miRNAs expression studies.

Evaluation of endogenous control gene(s) for gene expression studies in human blood exposed to 60Co γ-rays ex vivo

In gene expression studies, it is critical to normalize data using a stably expressed endogenous control gene in order to obtain accurate and reliable results. However, we currently do not have a universally applied endogenous control gene for normalization of data for gene expression studies, particularly those involving (60)Co γ-ray-exposed human blood samples. In this study, a comparative assessment of the gene expression of six widely used housekeeping endogenous control genes, namely 18S, ACTB, B2M, GAPDH, MT-ATP6 and CDKN1A, was undertaken for a range of (60)Co γ-ray doses (0.5, 1.0, 2.0 and 4.0 Gy) at 8.4 Gy min(-1) at 0 and 24 h post-irradiation time intervals. Using the NormFinder algorithm, real-time PCR data obtained from six individuals (three males and three females) were analyzed with respect to the threshold cycle (Ct) value and abundance, ΔCt pair-wise comparison, intra- and inter-group variability assessments, etc. GAPDH, either alone or in combination with 18S, was found to be the most suitable endogenous control gene and should be used in gene expression studies, especially those involving qPCR of γ-ray-exposed human blood samples.

Application of quantitative PCR for the detection of microorganisms in water

The occurrence of microorganisms in water due to contamination is a health risk and control thereof is a necessity. Conventional detection methods may be misleading and do not provide rapid results allowing for immediate action. The quantitative polymerase chain reaction (qPCR) method has proven to be an effective tool to detect and quantify microorganisms in water within a few hours. Quantitative PCR assays have recently been developed for the detection of specific adeno- and polyomaviruses, bacteria and protozoa in different water sources. The technique is highly sensitive and able to detect low numbers of microorganisms. Quantitative PCR can be applied for microbial source tracking in water sources, to determine the efficiency of water and wastewater treatment plants and act as a tool for risk assessment. Different qPCR assays exist depending on whether an internal control is used or whether measurements are taken at the end of the PCR reaction (end-point qPCR) or in the exponential phase (real-time qPCR). Fluorescent probes are used in the PCR reaction to hybridise within the target sequence to generate a signal and, together with specialised systems, quantify the amount of PCR product. Quantitative reverse transcription polymerase chain reaction (q-RT-PCR) is a more sensitive technique that detects low copy number RNA and can be applied to detect, e.g. enteric viruses and viable microorganisms in water, and measure specific gene expression. There is, however, a need to standardise qPCR protocols if this technique is to be used as an analytical diagnostic tool for routine monitoring. This review focuses on the application of qPCR in the detection of microorganisms in water.

Identification of stable endogenous control genes for transcriptional profiling of photon, proton and carbon-ion irradiated cells

BACKGROUND

Quantitative analysis of transcriptional regulation of genes is a prerequisite for a better understanding of the molecular mechanisms of action of different radiation qualities such as photon, proton or carbon ion irradiation. Microarrays and real-time quantitative RT-PCR (qRT-PCR) are considered the two cornerstones of gene expression analysis. In interpreting these results it is critical to normalize the expression levels of the target genes by that of appropriately selected endogenous control genes (ECGs) or housekeeping genes. We sought to systematically investigate common ECG candidates for their stability after different radiation modalities in different human cell lines by qRT-PCR. We aimed to identify the most robust set of ECGs or housekeeping genes for transcriptional analysis in irradiation studies.

METHODS

We tested the expression stability of 32 ECGs in three human cancer cell lines. The epidermoid carcinoma cells (A431), the non small cell lung carcinoma cells (A549) and the pancreatic adenocarincoma cells (BxPC3) were irradiated with photon, proton and carbon ions. Expression Heat maps, clustering and statistic algorithms were employed using SUMO software package. The expression stability was evaluated by computing: mean, standard deviation, ANOVA, coefficient of variation and the stability measure (M) given by the geNorm algorithm.

RESULTS

Expression analysis revealed significant cell type specific regulation of 18 out of 32 ECGs (p < 0.05). A549 and A431 cells shared a similar pattern of ECG expression as the function of different radiation qualities as compared to BxPC3. Of note, the ribosomal protein 18S, one of the most frequently used ECG, was differentially regulated as the function of different radiation qualities (p ≤ 0.01). A comprehensive search for the most stable ECGs using the geNorm algorithm identified 3 ECGs for A431 and BxPC3 to be sufficient for normalization. In contrast, 6 ECGs were required to properly normalize expression data in the more variable A549 cells. Considering both variables tested, i.e. cell type and radiation qualities, 5 genes-- RPLP0, UBC, PPIA, TBP and PSMC4-- were identified as the consensus set of stable ECGs.

CONCLUSIONS

Caution is warranted when selecting the internal control gene for the qRT-PCR gene expression studies. Here, we provide a template of stable ECGs for investigation of radiation induced gene expression.

Reference gene selection for normalization of PCR analysis in chicken embryo fibroblast infected with H5N1 AIV

Chicken embryo fibroblasts (CEFs) are among the most commonly used cells for the study of interactions between chicken hosts and H5N1 avian influenza virus (AIV). In this study, the expression of eleven housekeeping genes typically used for the normalization of quantitative real-time PCR (QPCR) analysis in mammals were compared in CEFs infected with H5N1 AIV to determine the most reliable reference genes in this system. CEFs cultured from 10-day-old SPF chicken embryos were infected with 100 TCID(50) of H5N1 AIV and harvested at 3, 12, 24 and 30 hours post-infection. The expression levels of the eleven reference genes in infected and uninfected CEFs were determined by real-time PCR. Based on expression stability and expression levels, our data suggest that the ribosomal protein L4 (RPL4) and tyrosine 3-monooxygenase tryptophan 5-monooxygenase activation protein zeta polypeptide (YWHAZ) are the best reference genes to use in the study of host cell response to H5N1 AIV infection. However, for the study of replication levels of H5N1 AIV in CEFs, the β-actin gene (ACTB) and the ribosomal protein L4 (RPL4) gene are the best references.

Reference gene selection for head and neck squamous cell carcinoma gene expression studies

BACKGROUND

It is no longer adequate to choose reference genes blindly. We present the first study that defines the suitability of 12 reference genes commonly used in cancer studies (ACT, ALAS, B2M, GAPDH, HMBS, HPRT, KALPHA, RPS18, RPL27, RPS29, SHAD and TBP) for the normalization of quantitative expression data in the field of head and neck squamous cell carcinoma (HNSCC).

RESULTS

Raw expression levels were measured by RT-qPCR in HNSCC and normal matched mucosa of 46 patients. We analyzed the expression stability using geNorm and NormFinder and compared the expression levels between subgroups. In HNSCC and/or normal mucosa, the four best normalization genes were ALAS, GAPDH, RPS18 and SHAD and the most stable combination of two genes was GAPDH-SHAD. We recommend using KALPHA-TBP for the study of T1T2 tumors, RPL27-SHAD for T3T4 tumors, KALPHA-SHAD for N0 tumors, and ALAS-TBP for N+ tumors. ACT, B2M, GAPDH, HMBS, HPRT, KALPHA, RPS18, RPS29, SHAD and TBP were slightly misregulated (<1.7-fold) between tumor and normal mucosa but can be used for normalization, depending on the resolution required for the assay.

CONCLUSION

In the field of HNSCC, this study will guide researchers in selecting the most appropriate reference genes from among 12 potentially suitable reference genes, depending on the specific setting of their experiments.

Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR

Background

Control genes, which are often referred to as housekeeping genes, are frequently used to normalise mRNA levels between different samples. However, the expression level of these genes may vary among tissues or cells and may change under certain circumstances. Thus, the selection of housekeeping genes is critical for gene expression studies. To address this issue, 7 candidate housekeeping genes including several commonly used ones were investigated in isolated human reticulocytes. For this, a simple ΔCt approach was employed by comparing relative expression of 'pairs of genes' within each sample. On this basis, stability of the candidate housekeeping genes was ranked according to repeatability of the gene expression differences among 31 samples.

Results

Initial screening of the expression pattern demonstrated that 1 of the 7 genes was expressed at very low levels in reticulocytes and was excluded from further analysis. The range of expression stability of the other 6 genes was (from most stable to least stable): GAPDH (glyceraldehyde 3-phosphate dehydrogenase), SDHA (succinate dehydrogenase), HPRT1 (hypoxanthine phosphoribosyl transferase 1), HBS1L (HBS1-like protein) and AHSP (alpha haemoglobin stabilising protein), followed by B2M (beta-2-microglobulin).

Conclusion

Using this simple approach, GAPDH was found to be the most suitable housekeeping gene for expression studies in reticulocytes while the commonly used B2M should be avoided.

Selection of reference genes for gene expression studies in human neutrophils by real-time PCR

Background

Reference genes, which are often referred to housekeeping genes, are frequently used to normalize mRNA levels between different samples. However the expression level of these genes may vary among tissues or cells, and may change under certain circumstances. Thus the selection of reference gene(s) is critical for gene expression studies. For this purpose, 10 commonly used housekeeping genes were investigated in isolated human neutrophils.

Results

Initial screening of the expression pattern demonstrated that 3 of the 10 genes were expressed at very low levels in neutrophils and were excluded from further analysis. The range of expression stability of the other 7 genes was (from most stable to least stable): GNB2L1 (Guanine nucleotide binding protein, beta polypeptide 2-like 1), HPRT1 (Hypoxanthine phosphoribosyl transferase 1), RPL32 (ribosomal protein L32), ACTB (beta-actin), B2M (beta-2-microglobulin), GAPD (glyceraldehyde-3-phosphate dehydrogenase) and TBP (TATA-binding protein). Relative expression levels of the genes (from high to low) were: B2M, ACTB, GAPD, RPL32, GNB2L1, TBP, and HPRT1.

Conclusion

Our data suggest that GNB2L1, HPRT1, RPL32, ACTB, and B2M may be suitable reference genes in gene expression studies of neutrophils.

Equivalence test in quantitative reverse transcription polymerase chain reaction: confirmation of reference genes suitable for normalization

In quantitative reverse transcription-polymerase chain reaction (qRT-PCR), normalization using reference genes is a common useful approach, but the validation of suitable reference genes remains a crucial problem. Use of unconfirmed reference genes may lead to misinterpretation of the expression of target genes. The aim of this study was to adapt an adequate statistical approach to identify and validate reference genes suitable for normalization in qRT-PCR assays. We introduce the equivalence test for the identification of stably expressed reference genes. To evaluate the advantages of this test, the expression of five genes widely used as reference genes (18S, B2M, HPRT1, LMNB1, and SDHA), and of two target genes (TP53 and MMP2), was determined with qRT-PCR in different tissues (clear cell renal cell carcinoma, colon carcinoma, and gastrointestinal stromal tumors). We demonstrate that a stable expression of a reference gene in one tumor type does not predict a stable expression in another tumor type. In addition, we found that even within one tumor type, the expression of a reference gene was not stable for different biological groupwise comparisons. These observations confirm that there is no universal reference gene and underline the importance of specific validation of potential reference genes for any experimental condition.

Improved methods for extracting RNA from exfoliated human colonocytes in stool and RT-PCR analysis

In order to diagnose colon cancer at an earlier, more localized stage, there is a need to develop diagnostic markers (genes) which can detect early patterns of gene expression in exfoliated colonocytes shed in the stool during routine screening for this disease. An RNA-based detection is more pertinent than either a DNA-based or a protein-based method as a screening procedure, but it has not been widely used as a cancer screen because of the difficulty of handling and stabilizing the RNA molecule. We describe a method that permits extraction of intact nondegraded total RNA from human colonocytes in stool and from normal and malignant colon tissues (which were employed for comparison with stool). Because it utilizes commercially available kits, this method is simpler than other published methods and does not require isolation of messenger (m)RNA, thereby reducing the chances of contaminating the preparations with degrading nucleases, and even a small amount of isolated total RNA can be adequately reverse transcribed, making high-quality copy (c) DNA. This is followed by PCR (either qualitative end point or semiquantitative real-time) using colon cancer-specific gene primers. By routinely and systematically being able to perform quantitative gene expression measurements on noninvasive samples, the goal of this pilot work is to lay the groundwork for conducting a large clinical study to identify groups of selected genes whose expression is consistently altered at an early stage in the neoplastic process. Such work will permit noninvasive monitoring of at-risk patients through the analysis of their stool samples. Correct diagnosis will allow for surgical and/or other interventions before the tumor is well established and, thus, should decrease mortality from this preventable disease.

Lack of infection of vertebrate cells by the densovirus from the maize worm Mythimna loreyi (MlDNV)

Several densoviruses have been used successfully in biological control of pests in the tropics. The densovirus from Mythimna loreyi (MlDNV) could also be an important tool in biological control of important pests. However, safety concerns remain as previous reports suggested that densoviruses may infect and transform L cells (from mouse). In this study, we show using molecular-biology tools that neither L nor other vertebrate cells support replication or transcription of densovirus, either after infection or after transfection. Quantitative PCR indicated no increase of viral DNA due to replication in vertebrate cells, in contrast to that in insect LD652 cells. After transfection, both the NS and VP mRNAs could be detected in LD652 cells but not in L cells. Moreover, the viral genome was excised from the plasmid after transfection of the infectious clone in LD652 cells, indicative of viral NS protein production, in contrast to L cells. The viral genome was able to integrate in the host chromosome of L cells after transfection, but not after infection. However, no viral transcription could be detected after integration.

Colon cancer: prevalence, screening, gene expression and mutation, and risk factors and assessment

Colon cancer detection at an early stage and identifying susceptible individuals can result in reduced mortality from this prevalent cancer. Genetic events leading to the development of this cancer involve a multistage progression of adenoma polyps to invasive metastatic carcinomas. Currently, there is no satisfactory screening method that is highly specific, sensitive, or reliable. Dietary patterns associated with the greatest increase in colon cancer risk are the ones that typify a diet rich in fat and calories, and low in vegetable, fruits, and fibers. Genetic susceptibility to environmental carcinogenesis must be factored into the risk assessment for this cancer. Many genes have been shown to be associated with increased expression and mutations in colorectal cancer patients. These genes have been reviewed; it is hoped that by carefully selecting a number of them, a molecular approach that is suitable for arriving at a tumorigenic expression index is developed, which will reliably detect this cancer at an early stage (i.e., before it metastasizes), especially in exfoliated samples (e.g., stool and blood), so that appropriate intervention strategies can be implemented. Illustrated herein is the utility of employing real-time reverse transcriptase polymerase chain reaction (RT-PCR) to quantitatively measure gene expression, and develop an index that is specific for this cancer, which if perfected may result in a reliable and sensitive screening technique for colorectal cancer detection.

Applications of competitor RNA in diagnostic reverse transcription-PCR

Detection of RNA viruses by reverse transcription (RT)-PCR has proven to be a useful approach for the diagnosis of infections caused by many viral pathogens. However, adequate controls are required for each step of the RT-PCR protocol to ensure the accuracies of diagnostic test results. Heterologous competitor RNA can be used as a control for a number of different aspects of diagnostic RT-PCR. Competitor RNA can be applied to assessments of the efficiency of RNA recovery during extraction procedures, detection of endogenous RT-PCR inhibitors that could lead to false-negative results, and quantification of viral template in samples used for diagnosis; competitor RNA can also be used as a positive control for the RT-PCR. In the present study, heterologous competitor RNA was synthesized by a method that uses two long oligonucleotide primers containing primer binding sites for RT-PCR amplification of porcine reproductive and respiratory syndrome virus or West Nile virus. Amplification of the competitor RNA by RT-PCR resulted in a product that was easily distinguished from the amplification product of viral RNA by agarose gel electrophoresis. Assessment of a variety of RNA samples prepared from routine submissions to a veterinary diagnostic laboratory found that either partial or complete inhibition of the RT-PCR could be demonstrated for approximately 20% of the samples. When inhibition was detected, either dilution of the sample or RNA extraction by an alternative protocol proved successful in eliminating the source of inhibition.

An in vitro system combined with an in-house quantitation assay for screening hepatitis C virus inhibitors

Hepatitis C virus (HCV) infection is a serious global health problem. Interferon-alpha (IFN-alpha) and ribavirin have demonstrated efficacy in the treatment of HCV infection; however, these therapies display many side effects. To screen the anti-HCV compounds from plants, we established an in vitro model for inoculation of HCV by centrifugation-facilitated method. The HCV RNA molecules were then quantitated by nested competitive reverse transcription-polymerase chain reaction (cRT-PCR) using fluorescein-labeled primers, and analyzed by ABI Prism 310. The positive and negative strands of HCV RNA were detectable in Vero cells on Day 7 post-infection, suggesting that the HCV RNA was present in the cell model system. The cell culture system was further used to screen the anti-HCV activities of 4 Chinese herbal formulas and 15 formula components. IFN-alpha showed an antiviral effect. The formulas exhibited no anti-HCV activities, while Arnebia euchroma, Thlaspi arvense, and Poncirus trifoliata displayed anti-HCV activities. Therefore, these results pointed out the possibility by using the cell culture system established in this study to screen the herb extracts for their anti-HCV activities.

Molecular cloning and differential expression of the cat immediate early gene c-fos

Recently, the effect of binocular central retinal lesions on the expression of immediate early genes in the visual system of adult cats was demonstrated using in situ hybridization and immunocytochemistry. The present study was undertaken to quantify cat c-fos mRNA expression differences in the cat primary visual cortex after sensory deafferentation. Prior to quantification, DNA fragments obtained using reverse transcription-polymerase chain reaction (RT-PCR) in combination with rapid amplification of complementary DNA ends (RACE) were cloned and sequenced. This provided us with the necessary sequence(1) information to prepare cat-specific c-fos primers for the development of a new quantitative RT-PCR assay. We optimized a reverse transcription-competitive polymerase chain reaction (RT-cPCR) method with a heterologous DNA fragment (competitor) as external standard to quantify relative amounts of cat c-fos mRNA expression levels. Internal standardization was accomplished by quantifying, in a parallel RT-cPCR, a well-characterized housekeeping gene, glyceraldehyde-3-phosphate dehydrogenase (GAPDH). This cat-specific RT-cPCR assay allowed us to measure c-fos mRNA expression levels in central and peripheral regions of primary visual cortex in normal and retinal lesion cats.

Schizophrenia and Nogo: elevated mRNA in cortex, and high prevalence of a homozygous CAA insert

Schizophrenia is a major psychiatric disorder which is hypothesized to result from abnormal neurodevelopment or neural changes in adulthood and possibly associated with altered gene expression. To search for genes overexpressed in schizophrenia, cDNA library subtractive hybridization experiments between post-mortem human frontal cerebral cortices from schizophrenia individuals and neurological controls were carried out. One of the genes over-expressed in schizophrenia was identified as Nogo (also known as reticulon 4, RTN4, NI 250, or RTN-X), a myelin-associated protein which inhibits the outgrowth of neurites and nerve terminals. The elevated expression of Nogo mRNA in schizophrenia was confirmed by quantitative reverse transcription-polymerase chain reaction studies: 16.5 pg Nogo cDNA/microg total RNA in schizophrenia, and 10.2 pg Nogo cDNA/microg total RNA in controls (n=7; P=0.01, t-test for n<30). To identify possible polymorphisms in this gene, the Nogo nucleotide sequence was determined in a series of schizophrenia and control samples. The Nogo mRNA was found to contain a CAA insert polymorphism in the 3'-untranslated region. The prevalence of individuals homozygous for this CAA insert was significantly higher in schizophrenia compared to controls in genomic DNA samples extracted from post-mortem brain and blood samples: 17/81 or 21% in schizophrenia and 2/61 or 3% in controls (P=0.0022, chi(2)- and Fisher's exact-tests). Because the 3'-untranslated regions of eukaryotic genes are known to regulate gene expression, the increased frequency of the Nogo CAA insert in schizophrenia may contribute to abnormal regulation of Nogo gene expression, and may indicate a role for Nogo in disturbed neurodevelopment in schizophrenia.

Molecular techniques for studying gene expression in carcinogenesis

Many genes and signaling pathways controlling cell proliferation, death, differentiation, and genomic integrity are involved in cancer development. Various methods are available for detection and quantification of messenger RNA. Older methods such as Northern blots, nuclease protection, plaque hybridization, and slot blots suffer from being inherently serial, measure a single mRNA at a time, or being difficult to automate. New techniques for analysis of gene expression include: (a) comprehensive open systems such as serial analysis of gene expression (SAGE), differential display (DD) analysis, RNA arbitrarily primer (RAP)-PCR, restriction endonucleolytic analysis of differentially expressed sequences (READS), amplified restriction fragment-length polymorphism (AFLP), total gene expression analysis (TOGA), and use of internal standard competitive template primers (CTs) in a quantitative multiplex RT-PCR method [StaRT-(PCR)], and (b) focused closed systems such as: high density cDNA filter hybridization (HDFCA) analysis, suppression subtractive hybridization (SSH), differential screening (DS), several forms of high-density cDNA arrays, or oligonucleotide chips, and tissue microarrays. Sometimes, a combination of these systems is used to enhance the sensitivity and specificity of the assays. While closed systems are excellent for the initial screening of large number of sequences, the value of the information generated is generally limited to an often arbitrarily chosen known sequence. On the other hand, only the open system platform has the potential to evaluate the expression patterns of tens of thousands of genes that have not yet been cloned or partially sequenced in a quantitative manner. A cost analysis of the most commonly used expression technologies is provided. A method for purifying tumors from surrounding stroma and normal tissue employing laser microdissection, and subsequent RNA isolation/amplification from few cells employing sensitive kits are also discussed.

Variation of hepatitis C virus load, hypervariable region 1 quasispecies and CD81 hepatocyte expression in hepatocellular carcinoma and adjacent non-cancerous liver

Hepatitis C virus (HCV) infection is etiologically associated with the development of hepatocellular carcinoma (HCC) worldwide. HCV has been reported to exist and replicate in both HCC and adjacent non-cancerous liver tissue, but limited information was available on HCV viral load and quasispecies composition in HCC relative to adjacent non-cancerous hepatocytes. Previous study has also suggested CD81, a surface hepatocyte protein, as a receptor for HCV. To clarify the above, HCV-RNA and CD81-RNA titers in 20 paired hepatectomized liver and serum were quantitatively measured by chemiluminescent RT-cPCR. Hypervariable region 1 (HVR-1) variations of parallel specimens were analyzed after subcloning in 6 patients. HCV-RNA levels in serum and non-cancerous liver were markedly higher for HCV genotype 1 than genotype non-1. HCV levels were markedly higher in non-cancerous liver than in HCC (P = 0.001) in a genotype-independent manner, with a mean ratio of 56:1 for non-cancerous tissue to HCC. Both non-cancerous and HCC tissues had the same level of CD81-RNA expression, which was not linked to HCV load. HCV-RNA quantity in both HCC and non-cancerous liver correlated with the number of HVR-1 quasispecies in the tissue, and distinct HVR-1 subclones existed.

A reverse-transcription competitive PCR assay based on chemiluminescence hybridization for detection and quantification of hepatitis C virus RNA

A reverse-transcription competitive PCR (RT-cPCR) combined with chemiluminescence hybridization was designed for the detection and quantitative determination of serum hepatitis C virus (HCV) RNA. The concentration of HCV RNA was calculated based on an external standard curve that was generated by coamplification of internal competitor and target sequences in serial dilutions. The detection limit of the chemiluminescence RT-cPCR was 100 copies/ml (94 IU/ml). Meanwhile, the linear range for quantitation extended from 850 copies/ml (795 IU/ml) to 4.95x10(7) copies/ml. The performance of the current assay for measuring circulating HCV levels from 26 anti-HCV-antibody positive patients was compared with that of branched-chain DNA (bDNA) and nested RT-PCR assays. Eighteen patients had HCV RNA levels that exceeded the quantitation limit by the chemiluminescence RT-cPCR, but only 11 patients were quantitation-positive by the bDNA. A significant correlation of the quantitation values was found between the chemiluminescence RT-cPCR and the bDNA (R2=0.8391). Among the eight patients with HCV RNA titers below the quantitation limit, four remained positive by the chemiluminescence cRT-PCR, demonstrating the results in agreement with those using the nested RT-PCR. Furthermore, good linearity was revealed for the HCV genotypes 1b, 2a, 2b in 3-order magnitude diluted serum samples. In conclusion, the proposed chemiluminescence RT-cPCR method can detect quantitatively HCV RNA as accurately as the bDNA method and has sensitivity as high as nested RT-PCR.

Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR

Real-time reverse transcription followed by polymerase chain reaction (RT-PCR) is the most suitable method for the detection and quantification of mRNA. It offers high sensitivity, good reproducibility and a wide quantification range. Today, relative expression is increasingly used, where the expression of a target gene is standardised by a non-regulated reference gene. Several mathematical algorithms have been developed to compute an expression ratio, based on real-time PCR efficiency and the crossing point deviation of an unknown sample versus a control. But all published equations and available models for the calculation of relative expression ratio allow only for the determination of a single transcription difference between one control and one sample. Therefore a new software tool was established, named REST (relative expression software tool), which compares two groups, with up to 16 data points in a sample and 16 in a control group, for reference and up to four target genes. The mathematical model used is based on the PCR efficiencies and the mean crossing point deviation between the sample and control group. Subsequently, the expression ratio results of the four investigated transcripts are tested for significance by a randomisation test. Herein, development and application of REST is explained and the usefulness of relative expression in real-time PCR using REST is discussed. The latest software version of REST and examples for the correct use can be downloaded at http://www.wzw.tum.de/gene-quantification/.

Quantitation of HCV RNA using real-time PCR and fluorimetry

Real-time PCR technology may provide an accurate and sensitive method to quantify hepatitis C virus (HCV) RNA. So far, studies have been carried out using the Taqman technology with the ABI Prism 7700 sequence detector. An alternative and simple real-time PCR assay is described with no probe requirement, based on the SYBR Green I dye and LightCycler fluorimeter. Amplicon synthesis was monitored continuously by SYBR Green I dye binding to double stranded DNA during PCR of the 5' HCV non-coding (NC) region. Specificity was verified by amplicon melting temperatures. An external standard curve was constructed with serial 10 fold dilutions of a modified synthetic HCV 5' NC RNA. A wide range linear relationship (up to 3.7x10(9) copies/ml) was observed between number of PCR cycle needed to detect a fluorescent signal and number of RNA copy. Intra- and inter-assay coefficients of variation were 0.7 to 2.1 and 3.7% respectively, indicating good reproducibility of the method. Thirty-three HCV positive sera of different genotypes were quantified by this method and gave similar but more sensitive results compared to the branched DNA (bDNA) technology.

A viral phospholipase A2 is required for parvovirus infectivity

Sequence analysis revealed phospholipase A2 (PLA2) motifs in capsid proteins of parvoviruses. Although PLA2 activity is not known to exist in viruses, putative PLA2s from divergent parvoviruses, human B19, porcine parvovirus, and insect GmDNV (densovirus from Galleria mellonella), can emulate catalytic properties of secreted PLA2. Mutations of critical amino acids strongly reduce both PLA2 activity and, proportionally, viral infectivity, but cell surface attachment, entry, and endocytosis by PLA2-deficient virions are not affected. PLA2 activity is critical for efficient transfer of the viral genome from late endosomes/lysosomes to the nucleus to initiate replication. These findings offer the prospect of developing PLA2 inhibitors as a new class of antiviral drugs against parvovirus infections and associated diseases.

Quantitative assay for group M (subtype A-H) and group O HIV-1 RNA detection in plasma

A quantitative HIV-1 test is described based on a competitive RT-PCR assay combined with a sandwich hybridization as a detection system. The internal RNA standard (IS) was designed specifically to be competitive during the amplification and during the hybridization step. Sample viral load determination was carried out with one RT-PCR in the presence of 10(3) IS copies. The HIV-1 copy number was calculated by reference to an external standard curve performed on known and increasing amounts of the reference HIV-1 (Ref HIV-1) RNA co-amplified with a constant amount of the IS RNA. The assay had a linear range from 10(1) to 10(6) HIV-1 copies. HIV-1 strains belonging to the different subtypes from group M, but also group O, were all detected. Absolute quantification of purified HIV-1 RNA copies gave identical results as the AMPLICOR HIV-1 Monitor assay. The quantification of patient's samples was evaluated according to different criteria such as dynamic range, sensitivity, efficacy of material recovery, reproducibility and convenience of sample handling. The microplate format of the assay combined with the colorimetric detection provides a convenient tool and fulfills the requirement for routine molecular diagnostic laboratories.

Quantitative detection of hepatitis C virus RNA by light cycler PCR and comparison with two different PCR assays

The new Light Cycler technology was adapted to the detection of hepatitis C virus (HCV) RNA in clinical samples. Sera from 81 patients were tested by Light Cycler PCR, AMPLICOR HCV Monitor assay, and in-house PCR. Our data demonstrate that Light Cycler is a fast and reliable method for the detection and quantitation of HCV RNA.

MHC class II antigen presentation pathway in murine tumours: tumour evasion from immunosurveillance?

Qualitative differences in the MHC class II antigen processing and presentation pathway may be instrumental in shaping the CD4+ T cell response directed against tumour cells. Efficient loading of many MHC class II alleles with peptides requires the assistance of H2-M, a heterodimeric MHC class II-like molecule. In contrast to the HLA-DM region in humans, the beta-chain locus is duplicated in mouse, with the H2-Mb1 (Mb1beta-chain distal to H2-Mb2 (Mb2) and the H2-Ma (Ma) alpha-chain gene). Here, we show that murine MHC class II and H2-M genes are coordinately regulated in murine tumour cell lines by T helper cell 1 (IFN-gamma) and T helper cell 2 (IL-4 or IL-10) cytokines in the presence of the MHC class II-specific transactivator CIITA as determined by mRNA expression and Western blot analysis. Furthermore, Malphabeta1 and Malphabeta2 heterodimers are differentially expressed in murine tumour cell lines of different histology. Both H2-M isoforms promote equally processing and presentation of native protein antigens to H2-A(d)- and H2-E(d)-restricted CD4+ T cells. Murine tumour cell lines could be divided into three groups: constitutive MHC class II and CIITA expression; inducible MHC class II and CIITA expression upon IFN-gamma-treatment; and lack of constitutive and IFN-gamma-inducible MHC class II and CIITA expression. These differences may impact on CD4+ T cell recognition of cancer cells in murine tumour models.

Modulation of Dengue virus infection in human cells by alpha, beta, and gamma interferons

A role for interferon (IFN) in modulating infection by dengue virus (DV) has been suggested by studies in DV-infected patients and IFN receptor-deficient mice. To address how IFN modulates DV type 2 infection, we have assayed IFN-alpha, -beta, and -gamma for the ability to enhance or diminish antibody-independent and antibody-dependent cell infection using a competitive, asymmetric reverse transcriptase-mediated PCR (RT-PCR) assay that quantitates positive and negative strands of viral RNA, a flow cytometric assay that measures viral antigen, and a plaque assay that analyzes virion production. Our data suggest that IFN-alpha and -beta protect cells against DV infection in vitro. Treatment of hepatoma cells with IFN-alpha or -beta decreases viral RNA levels greater than 1, 000-fold, the percentage of cells infected 90 to 95%, and the amount of infectious virus secreted 150- to 100,000-fold. These results have been reproduced with several cell types and viral strains, including low-passage isolates. In contrast, IFN-gamma has a more variable effect depending on the cell type and pathway of infection. Quantitative RT-PCR experiments indicate that IFN inhibits DV infection by preventing the accumulation of negative-strand viral RNA.

Uncoupling protein-2 and -3 messenger ribonucleic acids in adipose tissue and skeletal muscle of healthy males: variability, factors affecting expression, and relation to measures of metabolic rate

Mitochondrial uncoupling protein-2 and -3 (UCP2 and UCP3) may be involved in the modulation of resting metabolic rate and energy balance. To investigate their variability, the influence of this on the variability of energy expenditure, and potential regulatory factors of the expression of the corresponding genes, we measured their messenger ribonucleic acids (mRNAs) in muscle and white adipose tissue of lean, healthy men and correlated the abundance of these mRNAs (attomoles per microg total RNA) with measures of resting metabolic rate, hormone levels (thyroid hormones, insulin, glucagon, leptin, and catecholamines), and fuels potentially involved in energy balance regulation. We also investigated whether the thiazolidinedione, troglitazone, stimulates UCP2 and UCP3 mRNA levels to follow up on the observation that this antidiabetic drug increases the levels of expression in cultured cells. We found UCP2 and UCP3 mRNA levels to be highly variable and poorly correlated with measures of energy expenditure and with most factors affecting energy balance. Only nocturnal urinary norepinephrine excretion could explain a significant fraction of the variability in both UCP2 and UCP3 expression in muscle, but not adipose tissue. Thyroid hormone and norepinephrine excretion were found to contribute to the variability of resting metabolic rate, but this could not be explained by an effect on UCP mRNAs. Troglitazone affected neither the expression of UCPs nor the hormones or the measures of metabolic rate investigated. In conclusion, our results show that the expression of UCP2 and UCP3 genes is quite variable in healthy males and that this variability does not explain that in resting energy expenditure, and suggest that sympathetic activity is an important potential regulator of the expression of these proteins in skeletal muscle. However, the data do not support the concept that regulation of the expression of these genes is the most important level of control of UCP3 and UCP2 functions, and other levels of control have to be invoked.

Differential regulation in human amnion epithelial and fibroblast cells of prostaglandin E(2) production and prostaglandin H synthase-2 mRNA expression by dexamethasone but not tumour necrosis factor-alpha

Previous studies have identified both pro-inflammatory cytokines and glucocorticoids as positive regulators of amnion prostaglandin (PG) biosynthesis. The stimulatory effects of dexamethasone (Dex), a glucocorticoid agonist, on prostaglandin endoperoxide H synthase (PGHS)-2 mRNA expression and PG biosynthesis in amnion have been attributed to an atypical response by the mesenchymal cells of the amnion. The objective of this study was to confirm previous findings concerning cell type-dependant Dex-induced upregulation of PGHS-2 mRNA expression and PG production using separated amnion cell populations, in comparison with the effects of the pro-inflammatory cytokine tumour necrosis factor-alpha (TNF-alpha). Amnion cells from placentae delivered at term by caesarian section were isolated by tryptic digestion and epithelial cells were then separated from mesenchymal cells by differential absorption onto plastic. After 24-72 h, the two cell populations were passaged and sub-cultured. Cells were treated with Dex (10(-9)-10(-6) m) or TNF-alpha (0.1-50 ng/ml) or media alone. Thereafter, PGE(2)production was determined and PGHS-2 mRNA content analysed by a competitive quantitative RT-PCR method established and validated for this study. PGE(2)production in fibroblast-enriched cultures was increased to 310+/-41 per cent (mean+/-sem, n=4 wells per treatment point) of control in the presence of 10(-8) m Dex. Conversely, PGE(2)production in Dex-treated amnion epithelial cells was decreased to 67+/-24 per cent of control. Altered PGE(2)biosynthesis was accompanied by the upregulation of PGHS-2 mRNA in amnion fibroblasts but not in epithelial cells. TNF-alpha increased PG output and PGHS-2 expression independent of cell type. Glucocorticoids therefore appear to have opposing effects on PG biosynthesis in the two major cellular components of the human amnion.

Development of a Chemiluminescence Competitive PCR for the Detection and Quantification of Parvovirus B19 DNA Using a Microplate Luminometer

Background: Quantitative PCR of viral nucleic acids can be useful clinically in diagnosis, risk assessment, and monitoring of antiviral therapy. We wished to develop a chemiluminescence competitive PCR (cPCR) for parvovirus B19.

Methods: Parvovirus DNA target sequences and competitor sequences were coamplified and directly labeled. Amplified products were then separately hybridized by specific biotin-labeled probes, captured onto streptavidin-coated ELISA microplates, and detected immunoenzymatically using chemiluminescent substrates of peroxidase. Chemiluminescent signals were quantitatively analyzed by a microplate luminometer and were correlated to the amounts of amplified products.

Results: Luminol-based systems displayed constant emission but had a higher detection limit (100–1000 genome copies) than the acridan-based system (20 genome copies). The detection limit of chemiluminescent substrates was lower (20 genome copies) than colorimetric substrates (50 genome copies). In chemiluminescence cPCR, the titration curves showed linear correlation above 100 target genome copies. Chemiluminescence cPCR was positive in six serum samples from patients with parvovirus infections and negative in six control sera.

Conclusions: The chemiluminescence cPCR appears to be a sensitive and specific method for the quantitative detection of viral DNAs.

Branched DNA signal amplification for direct quantitation of nucleic acid sequences in clinical specimens

In this chapter I have reviewed the development of bDNA as a method for quantitation of nucleic acid targets and the application of this technology to the study of infectious diseases and cell biology. The ability to quantify viral nucleic acids in clinical specimens has led to a better understanding of the pathogenesis of chronic viral infections such as HIV-1, HCV, and HBV. The information provided by these methods can also be important in the management of patients with these infections. The prognostic value of a single baseline HIV-1 RNA level rivals that surgical staging procedures for cancer, which are among the most powerfully predictive tests in medicine (Mellors et al., 1996). These methods have been used to assess rapidly the effects of antiviral therapy, which has both expedited the development of antiviral drugs and improved the management of patients with HIV-1 and HCV infections. bDNA has several characteristics that distinguish it from the quantitative target amplification systems, including better tolerance of target sequence variability, more direct measurement of target, simpler sample preparation, and less sample-to-sample variation. However, the first- and second-generation bDNA assays lacked sensitivity compared with the target amplifications systems. The changes incorporated into the third-generation assays have effectively increased the signal-to-noise ratio to such a high level that the analytical sensitivity of system 8 bDNA approaches that of PCR. In theory, bDNA can be made even more sensitive by increasing both the sample volume and the signal-to-noise ratio. Nonspecific hybridization can be further reduced by finding more effective blockers for the solid phase or by redesigning the amplifier molecule or the solid phase itself. The increased sensitivity may create new applications for the technology in filter and in situ hybridization assays.

Quantitation of equine cytokine mRNA expression by reverse transcription-competitive polymerase chain reaction

A reverse transcription-competitive polymerase chain reaction (RT-cPCR) method was developed to quantitate equine interleukin (IL)-1alpha, IL-1beta, IL-2, IL-4, IL-5, IL-6, IL-10, IL-12 p35, IL-12 p40, interferon-gamma (INF-gamma), tumor necrosis factor-alpha (TNF-alpha), and beta-actin mRNA expression. Using primers based on equine-specific sequences, these cytokines could be detected in concanavalin A-stimulated peripheral blood mononuclear cells. The specificity of the amplified product was confirmed by sequencing. For each cytokine, the assay was made quantitative by generating competitor DNA fragments (mimic) containing the same primer template as a equine cytokine, but differing in size to make them distinguishable on an agarose gel. Serial dilutions of the mimic were added to PCR reactions containing constant amount of equine cDNA. Following gel electrophoresis and ethidium bromide staining, densitometric analysis of the bands corresponding to the target and mimic were used to construct a standard curve from which the amount of target cDNA was derived. Quantitation of IL-6 gene expression from a cDNA sample on four different days gave a coefficient of variation or 6.6%. Sample-to-sample variation in the efficiency of the reverse transcription as well as in the quantity of quality of starting RNA was considerably attenuated by normalizing the results to beta-actin mRNA expression used as a house-keeping gene. Small differences (2-fold) in cytokine mRNA expression were reliably detected. The sensitivity and reproducibility of this technique will make it valuable in following changes in equine cytokine gene expression in vitro and in vivo. In addition, the RT-cPCR technique described will have broad applicability for quantitation of cytokine gene expression in other animal species of veterinary interest.

Developments in quantitative PCR

In recent years the growing interest in quantitative applications of the polymerase chain reaction (PCR) has favoured the development of a large number of assay procedures suitable for this purpose. In this paper we review some basic principles of quantitative PCR and in particular the role of reference materials and calibrators and the different strategies adopted for nucleic acid quantification. We focus on two methodological approaches for quantitative PCR in this review: competitive PCR and real-time quantitative PCR based on the use of fluorogenic probes. The first is one of the most common methods of quantitative PCR and we discuss the structure of the competitors and the various assay procedures. The second section is dedicated to a recent promising technology for quantitative PCR in which the use of fluorogenic probes and dedicated instrumentation allows the development of homogeneous methods. Assay performance of these methods in terms of practicability and reliability indicates that these kinds of technologies will have a widespread use in the clinical laboratory in the near future.