There are numerous applications for quantitative polymerase chain reaction in the
laboratory. It is commonly used for both
diagnostic and
basic research. Uses of the technique in industry include the quantification of microbial load in foods or on vegetable matter, the detection of GMOs (
genetically modified organisms) and the quantification and genotyping of human viral pathogens.
Quantification of gene expression Quantifying gene expression by traditional DNA detection methods is unreliable. Detection of
mRNA on a
northern blot or PCR products on a
gel or
Southern blot does not allow precise quantification. For example, over the 20–40 cycles of a typical PCR, the amount of DNA product reaches a
plateau that is not directly correlated with the amount of target DNA in the initial PCR. Real-time PCR can be used to quantify
nucleic acids by two common methods: relative quantification and absolute quantification. Absolute quantification gives the exact number of target DNA molecules by comparison with DNA standards using a
calibration curve. It is therefore essential that the PCR of the sample and the standard have the same
amplification efficiency. Relative quantification is based on internal reference genes to determine fold-differences in expression of the target gene. The quantification is expressed as the change in expression levels of mRNA interpreted as
complementary DNA (cDNA, generated by
reverse transcription of mRNA). Relative quantification is easier to carry out as it does not require a calibration curve as the amount of the studied gene is compared to the amount of a control reference gene. As the units used to express the results of relative quantification are unimportant the results can be compared across a number of different RTqPCR. The reason for using one or more housekeeping genes is to correct non-specific variation, such as the differences in the quantity and quality of RNA used, which can affect the efficiency of reverse transcription and therefore that of the whole PCR process. However, the most crucial aspect of the process is that the reference gene must be stable. The selection of these reference genes was traditionally carried out in
molecular biology using qualitative or semi-quantitative studies such as the visual examination of RNA gels, northern blot
densitometry or semi-quantitative PCR (PCR mimics). Now, in the
genome era, it is possible to carry out a more detailed estimate for many organisms using
transcriptomic technologies. However, research has shown that amplification of the majority of reference genes used in quantifying the expression of mRNA varies according to experimental conditions. It is therefore necessary to carry out an initial
statistically sound methodological study in order to select the most suitable reference gene. A number of statistical algorithms have been developed that can detect which gene or genes are most suitable for use under given conditions. Those like geNORM or BestKeeper can compare pairs or
geometric means for a matrix of different reference genes and
tissues.
cancer and genetic abnormalities. The introduction of qualitative PCR assays to the
clinical microbiology laboratory has significantly improved the diagnosis of infectious diseases, and is deployed as a tool to detect newly emerging diseases, such as new strains of
flu and
coronavirus, in
diagnostic tests.
Microbiological uses Quantitative PCR is also used by microbiologists working in the fields of food safety, food spoilage and fermentation and for the microbial risk assessment of water quality (drinking and recreational waters) and in public health protection. qPCR may also be used to amplify taxonomic or functional markers of genes in DNA taken from environmental samples.
Detection of phytopathogens The agricultural industry is constantly striving to produce plant propagules or seedlings that are free of pathogens in order to prevent economic losses and safeguard health. Systems have been developed that allow detection of small amounts of the DNA of
Phytophthora ramorum, an oomycete that kills
oaks and other species, mixed in with the DNA of the host plant. Discrimination between the DNA of the pathogen and the plant is based on the amplification of ITS sequences, spacers located in
ribosomal RNA gene's coding area, which are characteristic for each taxon. Field-based versions of this technique have also been developed for identifying the same pathogen.
Detection of genetically modified organisms qPCR using reverse transcription (RT-qPCR) can be used to detect
GMOs given its sensitivity and dynamic range in detecting DNA. Alternatives such as DNA or protein analysis are usually less sensitive. Specific primers are used that amplify not the transgene but the
promoter,
terminator or even intermediate sequences used during the process of engineering the vector. As the process of creating a transgenic plant normally leads to the insertion of more than one copy of the transgene its quantity is also commonly assessed. This is often carried out by relative quantification using a control gene from the treated species that is only present as a single copy.
Clinical quantification and genotyping Viruses can be present in humans due to direct infection or co-infections which makes
diagnosis difficult using classical techniques and can result in an incorrect
prognosis and treatment. The use of qPCR allows both the quantification and genotyping (characterization of the strain, carried out using melting curves) of a virus such as the
hepatitis B virus. The degree of infection, quantified as the copies of the viral genome per unit of the patient's tissue, is relevant in many cases; for example, the probability that the type 1
herpes simplex virus reactivates is related to the number of infected
neurons in the
ganglia. This quantification is carried out either with reverse transcription or without it, as occurs if the virus becomes integrated in the human genome at any point in its cycle, such as happens in the case of
HPV (human papillomavirus), where some of its variants are associated with the appearance of
cervical cancer. Real-time PCR has also brought the quantization of
human cytomegalovirus (CMV) which is seen in patients who are immunosuppressed following solid organ or bone marrow transplantation. == References ==