PCR: living life amplified and standardized

Improving the quality of quantitative polymerase chain reaction experiments: 15 years of MIQE

The quantitative polymerase chain reaction (qPCR) is fundamental to molecular biology. It is not just a laboratory technique, qPCR is a bridge between research and clinical practice. Its theoretical foundations guide the design of experiments, while its practical implications extend to diagnostics, treatment, and research advancements in the life sciences, human and veterinary medicine, agriculture, and forensics. However, the accuracy, reliability and reproducibility of qPCR data face challenges arising from various factors associated with experimental design, execution, data analysis and inadequate reporting details. Addressing these concerns, the Minimum Information for the Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines have emerged as a cohesive framework offering a standardised set of recommendations that describe the essential information required for assessing qPCR experiments. By emphasising the importance of methodological rigour, the MIQE guidelines have made a major contribution to improving the trustworthiness, consistency, and transparency of many published qPCR results. However, major challenges related to awareness, resources, and publication pressures continue to affect their consistent application.

An adaptable dry lab for SYBR based RT-qPCR primer design to reinforce concepts in molecular biology and nucleic acids

The real time PCR (qPCR) method provides a powerful method to assess levels of particular species of DNA. When combined with reverse transcription (RT-qPCR) it is the predominate technique to measure expression of gene transcripts. While this approach is very powerful, particular care must be taken in the design of the primers to facilitate specific and sensitive detection. Herein describes the framework for an undergraduate assignment which aims to teach primer design for SYBR based RT-qPCR. Beyond gaining direct experience with primer design, students will gain familiarity with important bioinformatic resources as well as a deeper theoretical understanding of the RT-qPCR approach and potential limitations. Moreover, as students' progress through the assignment they re-encounter many important concepts in molecular biology, gene expression, and nucleic acids, creating an opportunity for spiral learning. As this exercise only requires access to free web-based resources and does not require a laboratory it can be used in most science education settings. Despite not being a wet lab, this is a highly authentic research experience as this design process is commonplace in a molecular biology laboratory. Furthermore, the assignment is highly adaptable for different learning outcomes, time frames, and student background and ability. This article seeks to highlight connections and expanded learning outcomes for those already teaching such material, as well as a step-by-step guide for those new to teaching such content.

Development and evaluation of a simple and effective real time PCR assay for mitochondrial quantification in racing camels

Camel racing is a popular sport in the Middle East region, where the demand is high for racing camels with higher stamina and endurance. Devising a technique to measure oxidative capacity and endurance in camels should be useful. Mitochondria are highly specialized organelles involved in metabolism in all higher organisms for sustaining life and providing energy for physical functions. The ratio of mitochondrial DNA (mtDNA) to nuclear DNA (nDNA) is often used as an estimate for the metabolic status of the tissue. A greater quantity of mitochondria per unit of tissue translates into greater oxidative capacity and endurance. In this report, we describe a simple, sensitive and efficient real-time PCR assay for the quantification of blood mitochondria in racing camels. The primer sequences selected for the SYBR green-based PCR assay included mitochondrial D-loop region, mitochondrial ATP6ase gene and the nuclear β-actin gene. The assay was validated using two groups of camels comprising racing and dairy camels. The racing camels demonstrated a higher mtDNA/nDNA ratio compared with dairy camels based on the ΔΔCt values, with a higher variability among racing camels. The mean ΔΔCt values of adult and young racing camels did not vary considerably. The findings show that the present assay can be used as an evaluative tool for racing camels.

Identification of reference genes in human myelomonocytic cells for gene expression studies in altered gravity

Gene expression studies are indispensable for investigation and elucidation of molecular mechanisms. For the process of normalization, reference genes (“housekeeping genes”) are essential to verify gene expression analysis. Thus, it is assumed that these reference genes demonstrate similar expression levels over all experimental conditions. However, common recommendations about reference genes were established during 1 g conditions and therefore their applicability in studies with altered gravity has not been demonstrated yet. The microarray technology is frequently used to generate expression profiles under defined conditions and to determine the relative difference in expression levels between two or more different states. In our study, we searched for potential reference genes with stable expression during different gravitational conditions (microgravity, normogravity, and hypergravity) which are additionally not altered in different hardware systems. We were able to identify eight genes (ALB, B4GALT6, GAPDH, HMBS, YWHAZ, ABCA5, ABCA9, and ABCC1) which demonstrated no altered gene expression levels in all tested conditions and therefore represent good candidates for the standardization of gene expression studies in altered gravity.

A fast-and-robust profiler for improving polymerase chain reaction diagnostics

Polymerase chain reaction (PCR) is an in vitro technology in molecular genetics that progressively amplifies minimal copies of short DNA sequences in a fast and inexpensive manner. However, PCR performance is sensitive to suboptimal processing conditions. Compromised PCR conditions lead to artifacts and bias that downgrade the discriminatory power and reproducibility of the results. Promising attempts to resolve the PCR performance optimization issue have been guided by quality improvement tactics adopted in the past for industrial trials. Thus, orthogonal arrays (OAs) have been employed to program quick-and-easy structured experiments. Profiling of influences facilitates the quantification of effects that may counteract the detectability of amplified DNA fragments. Nevertheless, the attractive feature of reducing greatly the amount of work and expenditures by planning trials with saturated-unreplicated OA schemes is known to be relinquished in the subsequent analysis phase. This is because of an inherent incompatibility of ordinary multi-factorial comparison techniques to convert small yet dense datasets. Treating unreplicated-saturated data with either the analysis of variance (ANOVA) or regression models destroys the information extraction process. Both of those mentioned approaches are rendered blind to error since the examined effects absorb all available degrees of freedom. Therefore, in lack of approximating an experimental uncertainty, any outcome interpretation is rendered subjective. We propose a profiling method that permits the non-linear maximization of amplicon resolution by eliminating the necessity for direct error estimation. Our approach is distribution-free, calibration-free, simulation-free and sparsity-free with well-known power properties. It is also user-friendly by promoting rudimentary analytics. Testing our method on published amplicon count data, we found that the preponderant effect is the concentration of MgCl2 (p<0.05) followed by the primer content (p<0.1) whilst the effects due to either the content of the deoxynucleotide (dNTP) or DNA remained dormant (p>0.1). Comparison of the proposed method with other stochastic approaches is also discussed. Our technique is expected to have extensive applications in genetics and biotechnology where there is a demand for cheap, expedient, and robust information.

Minimum information necessary for quantitative real-time PCR experiments

The MIQE (minimum information for the publication of quantitative real-time PCR) guidelines were published in 2009 with the twin aims of providing a blueprint for good real-time quantitative polymerase chain reaction (qPCR) assay design and encouraging the comprehensive reporting of qPCR protocols. It had become increasingly clear that variable pre-assay conditions, poor assay design, and incorrect data analysis were leading to the routine publication of data that were often inconsistent, inaccurate, and wrong. The problem was exacerbated by a lack of transparency of reporting, with the details of technical information inadequate for the purpose of assessing the validity of published qPCR data. This had, and continues to have serious implications for basic research, reducing the potential for translating findings into valuable applications and potentially devastating consequences for clinical practice. Today, the rationale underlying the MIQE guidelines has become widely accepted, with more than 2,200 citations by March 2014 and editorials in Nature and related publications acknowledging the enormity of the problem. However, the problem we now face is rather serious: thousands of publications that report suspect data are populating and corrupting the peer-reviewed scientific literature. It will be some time before the many contradictions apparent in every area of the life sciences are corrected.