Statistical aspects of quantitative real-time PCR experiment design

Experiments using quantitative real-time PCR to test hypotheses are limited by technical and biological variability; we seek to minimise sources of confounding variability through optimum use of biological and technical replicates. The quality of an experiment design is commonly assessed by calculating its prospective power. Such calculations rely on knowledge of the expected variances of the measurements of each group of samples and the magnitude of the treatment effect; the estimation of which is often uninformed and unreliable. Here we introduce a method that exploits a small pilot study to estimate the biological and technical variances in order to improve the design of a subsequent large experiment. We measure the variance contributions at several ‘levels’ of the experiment design and provide a means of using this information to predict both the total variance and the prospective power of the assay. A validation of the method is provided through a variance analysis of representative genes in several bovine tissue-types. We also discuss the effect of normalisation to a reference gene in terms of the measured variance components of the gene of interest. Finally, we describe a software implementation of these methods, powerNest, that gives the user the opportunity to input data from a pilot study and interactively modify the design of the assay. The software automatically calculates expected variances, statistical power, and optimal design of the larger experiment. powerNest enables the researcher to minimise the total confounding variance and maximise prospective power for a specified maximum cost for the large study.     

Comparison of real-time quantitative PCR and culture for the diagnosis of emerging Rickettsioses

Background

Isolation of Rickettsia species from skin biopsies may be replaced by PCR. We evaluated culture sensitivity compared to PCR based on sampling delay and previous antibiotic treatment.

Methodology/Principal Findings

Skin biopsies and ticks from patients with suspected Rickettsia infection were screened for Rickettsia spp. using qPCR, and positive results were amplified and sequenced for the gltA and ompA genes. Immunofluorescence for spotted fever group rickettsial antigens was done for 79 patients. All skin biopsies and only ticks that tested positive using qPCR were cultured in human embryonic lung (HEL) fibroblasts using the centrifugation-shell vial technique. Patients and ticks were classified as definitely having rickettsioses if there was direct evidence of infection with a Rickettsia sp. using culture or molecular assays or in patients if serology was positive. Data on previous antibiotic treatments were obtained for patients with rickettsiosis. Rickettsia spp. infection was diagnosed in 47 out of 145 patients (32%), 41 by PCR and 12 by culture, whereas 3 isolates were obtained from PCR negative biopsies. For 3 of the patients serology was positive although PCR and culture were negative. Rickettsia africae was the most common detected species (n = 25, [17.2%]) and isolated bacterium (n = 5, [3.4%]). The probability of isolating Rickettsia spp. was 12 times higher in untreated patients and 5.4 times higher in patients from our hometown. Rickettsia spp. was amplified in 24 out of 95 ticks (25%) and we isolated 7 R. slovaca and 1 R. raoultii from Dermacentor marginatus.

Conclusions/Significance

We found a positive correlation between the bacteria copies and the isolation success in skin biopsies and ticks. Culture remains critical for strain analysis but is less sensitive than serology and PCR for the diagnosis of a Rickettsia infection.     

Kinetics quality assessment for relative quantification by real-time PCR

For proper relative quantification by real-time PCR, compared samples should have similar PCR efficiencies. To test this prerequisite, we developed two quality tests: (i) adjustment of a test for kinetic outlier detection (KOD) to relative quantification; and (ii) comparison of the efficiency variance of test samples with the efficiency variance of samples with highly reproducible quantification. The tests were applied on relative quantification of two genes in 30 sets of 5 replicate samples (same treatment, different animals). Ten low-quality sets and 28 outliers were identified. The low-quality sets showed higher coefficient of variation (cv)% of DNA quantities in replicate experiments than high-quality sets (63% versus 26%; P = 0.001) and contained a higher proportion of outlying quantities (35% versus 5.9%; P = 0.001) when individual samples were detected by adjusted KOD. Outlier detection with adjusted KOD reduced the false detection of outliers by 2/3 compared with the previous, nonadjusted version of KOD (20% versus 5.9%; P = 0.001). We conclude that the presented tests can be used to assign technical reasons to outlying observations.     

Statistical quality control of variety trial data

I propose detection criteria for identifying an abnormal or erroneous data vector provided by a single variety trial in a longer series of variety trials. The test criteria are based on the linear effects estimated separately for each studied trial using global variance components estimated from the whole series of variety trials. The criteria comprise three mutually independent test statistics. The first one is a quadratic form in the estimated fixed effects, the second one is a quadratic form in the estimated realized linear random effects not including the residual effects, and the third one is a quadratic form in the estimated realized residual effects. Under the null hypothesis defining a valid data vector, the three quadratics have independent chi2 distributions. Under natural alternative hypotheses, they have noncentral chi2 distributions. Decomposing the total variation of the data vector studied into quadratic forms due to different types of the realized linear effects intuitively justifies the resulting test criteria. The decomposition may also be used to show that the resulting tests are likelihood ratio tests. I further present computational procedures that allow us to dispense with the need for prior estimation of the linear effects.     

The power of real-time PCR

In recent years, real-time polymerase chain reaction (PCR) has emerged as a robust and widely used methodology for biological investigation because it can detect and quantify very small amounts of specific nucleic acid sequences. As a research tool, a major application of this technology is the rapid and accurate assessment of changes in gene expression as a result of physiology, pathophysiology, or development. This method can be applied to model systems to measure responses to experimental stimuli and to gain insight into potential changes in protein level and function. Thus physiology can be correlated with molecular events to gain a better understanding of biological processes. For clinical molecular diagnostics, real-time PCR can be used to measure viral or bacterial loads or evaluate cancer status. Here, we discuss the basic concepts, chemistries, and instrumentation of real-time PCR and include present applications and future perspectives for this technology in biomedical sciences and in life science education.     

Evaluation of real-time PCR data

If real-time PCR is to be of much worth to its user, some idea regarding the reliability of its data is essential. We discuss here some of the problems associated with interpreting numerical real-time PCR data that lend themselves to analytical evaluation. We translate into the language of molecular biology some of the criteria which are used to evaluate the performance of any new method (linearity, precision, specificity, limit of detection and quantification).     

Detection of anthrax spores from the air by real-time PCR

AIMS: To detect and isolate Bacillus anthracis from the air by a simple and rapid procedure. METHODS AND RESULTS: One hundred litres of air were filtered through an air monitor device. After the membrane was suspended in PBS, spores of B. anthracis were added. The suspension was plated on Bacillus cereus selective agar (BCA) plates to detect B. anthracis colonies. The suspension was also heated at 95 degrees C for 15 min and used for real-time PCR using a Light Cycler system and anthrax-specific primers. CONCLUSION: A single cell of B. anthracis was detected by real-time PCR within 1 h and was also isolated on a BCA plate within two d. SIGNIFICANCE AND IMPACT OF THE STUDY: Our results provide evidence that anthrax spores from the atmosphere can be detected rapidly, suggesting that real-time PCR and a Light Cycler provides a flexible and powerful tool to prevent epidemics.     

Statistical significance of quantitative PCR

Background  

PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection and processing strategies have been described for the implementation of quantitative PCR. However, they can be experimentally cumbersome, their relative performances have not been evaluated systematically, and they often remain poorly validated statistically and/or experimentally. In this study, we evaluated the performance of known methods, and compared them with newly developed data processing strategies in terms of resolution, precision and robustness.     

Direct quantification of fungal DNA from soil substrate using real-time PCR

Detection and quantification of genomic DNA from two ecologically different fungi, the plant pathogen Fusarium solani f. sp. phaseoli and the arbuscular mycorrhizal fungus Glomus intraradices, was achieved from soil substrate. Specific primers targeting a 362-bp fragment from the SSU rRNA gene region of G. intraradices and a 562-bp fragment from the F. solani f. sp. phaseoli translation elongation factor 1 alpha gene were used in real-time polymerase chain reaction (PCR) assays conjugated with the fluorescent SYBR(R) Green I dye. Standard curves showed a linear relation (r(2)=0.999) between log values of fungal genomic DNA of each species and real-time PCR threshold cycles and were quantitative over 4-5 orders of magnitude. Real-time PCR assays were applied to in vitro-produced fungal structures and sterile and non-sterile soil substrate seeded with known propagule numbers of either fungi. Detection and genomic DNA quantification was obtained from the different treatments, while no amplicon was detected from non-seeded non-sterile soil samples, confirming the absence of cross-reactivity with the soil microflora DNA. A significant correlation (P<0.0001) was obtained between the amount of genomic DNA of F. solani f. sp. phaseoli or G. intraradices detected and the number of fungal propagules present in seeded soil substrate. The DNA extraction protocol and real-time PCR quantification assay can be performed in less than 2 h and is adaptable to detect and quantify genomic DNA from other soilborne fungi.     

Standardized determination of real-time PCR efficiency from a single reaction set-up

We propose a computing method for the estimation of real-time PCR amplification efficiency. It is based on a statistic delimitation of the beginning of exponentially behaving observations in real-time PCR kinetics. PCR ground fluorescence phase, non-exponential and plateau phase were excluded from the calculation process by separate mathematical algorithms. We validated the method on experimental data on multiple targets obtained on the LightCycler platform. The developed method yields results of higher accuracy than the currently used method of serial dilutions for amplification efficiency estimation. The single reaction set-up estimation is sensitive to differences in starting concentrations of the target sequence in samples. Furthermore, it resists the subjective influence of researchers, and the estimation can therefore be fully instrumentalized.     

实时定量PCR技术的介绍

实时定量PCR(real-timePCR)技术是近几年发展起来的新技术 ,既保持了PCR技术灵敏、快速的特点 ,又克服了以往PCR技术中存在的假阳性污染和不能进行准确定量的缺点。另外 ,还有重复性好、省力、低费用等优点。实时定量PCR技术是从传统PCR技术发展而来 ,其基本原理是相同的 ,主要不同之处是其定量的体系。下面简单介绍一下该技术定量的原理。1　荧光染料的应用荧光染料的应用是实时PCR技术能够进行定量检测的一个重要部分 ,在PCR反应体系中应用荧光标记物 ,通过监测荧光信号的累积实现对整个PCR循环进程的观察。目前主要有四种方法…     

Adapting a conventional PCR assay for Toxoplasma gondii detection to real-time quantitative PCR including a competitive internal control

We have developed a quantitative PCR assay (LightCycler* using the pair of primers JW58 and JW59 for the detection of the 35-fold repeated B gene of oxoplasma gondii. This real-time PCR, using fluorescence resonance energy transfert (FRET) hybridization probes, allows the quantification of . gondii with several technical requirements not previously described: i) an internal amplification control (co-amplified in a single tube with the same primers), ii) Uracil-N-Glycosylase and iii) a standard curve corresponding to a serial dilution from a calibrated suspension of T. gondii ranging from 40 to 4.106( )parasites in one ml of amniotic fluid (1 to 105( ) . gondii/PCR). In artificial samples, one parasite could be detected if at least three reactions were performed.     

Validation of internal control for gene expression study in soybean by quantitative real-time PCR

Background  

Normalizing to housekeeping gene (HKG) can make results from quantitative real-time PCR (qRT-PCR) more reliable. Recent studies have shown that no single HKG is universal for all experiments. Thus, a suitable HKG should be selected before its use. Only a few studies on HKGs have been done in plants, and none in soybean, an economically important crop. Therefore, the present study was conducted to identify suitable HKG(s) for normalization of gene expression in soybean.     

Detection of Mycoplasma pneumoniae in respiratory samples by real-time PCR using an inhibition control

Polymerase chain reaction (PCR) with real-time detection using two adjacent fluorescent probes in a Lightcycler instrument was applied for detection of the Mycoplasma pneumoniae P1 protein gene. To monitor inhibition in each sample an internal control was constructed that can be amplified by the same primers but detected by different probes and dual color detection. The real-time PCR was applied on 115 respiratory samples from 82 patients and compared to a conventional PCR. There was 100% agreement between the assays, but the real-time PCR proved to be highly superior in speed with a much lower risk of false positives by laboratory contamination.     

Identification of endogenous control genes for normalisation of real-time quantitative PCR data in colorectal cancer

Background  

Gene expression analysis has many applications in cancer diagnosis, prognosis and therapeutic care. Relative quantification is the most widely adopted approach whereby quantification of gene expression is normalised relative to an endogenously expressed control (EC) gene. Central to the reliable determination of gene expression is the choice of control gene. The purpose of this study was to evaluate a panel of candidate EC genes from which to identify the most stably expressed gene(s) to normalise RQ-PCR data derived from primary colorectal cancer tissue.