GPCRs are the most studied drug target class and have a proven record as valuable drug targets, with 40-50% of marketed drugs being modulators of GPCR function. Despite the intense effort focused on these targets by the pharmaceutical industry over many years, numerous challenges remain.
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The question of choosing which methods to use for analyte quantification (signal vs concentration determination, parameters, and format) continues to generate heated debates and divergent understanding.
When it comes to DNA research, scientists often find themselves weighing digital PCR (dPCR) against the more established quantitative real-time PCR (qPCR). Which technique is better to use? The answer is both.
During the last 30 years exceedingly sensitive and accurate technologies have been developed to measure and quantify amounts of nucleic acids and proteins.
Although it is still early days in terms of our understanding of epigenetics, the fast development of new tools and technologies to define genome-wide epigenetic variations in humans has the potential to enable effective new epigenetic therapies and diagnostic tests for a wide range of diseases beyond and including cancer.
Quantitative real-time PCR (qPCR) has during the last two decades emerged as the preferred technology for nucleic acid analysis in routine as well as in research.
G protein-coupled cell surface receptors (GPCRs) have served a fundamental role in modern pharmacology, due to their central importance in cell communication, and have been the target for the discovery of a large number of drugs. By one estimate, more than 40% of marketed drugs target GPCRs.
This review provides an insight into real-time quantitative PCR (qPCR) assays today.
Quantitative real-time PCR is becoming mature technology for the quantification of nucleic acids. It is spreading wide outside its original use in the research laboratories, becoming preferred technology for a range of applications, many that require specialised solutions and adaptations. Integration with pre-analytical steps and post-processing operations are becoming key challenges.