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MIQE guidelines

 

MIQE compliance in expression profiling and clinical biomarker discovery
MIQE compliance in expression profiling and clinical biomarker discovery
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MIQE compliance in expression profiling and clinical biomarker discovery

6 January 2016 | By Irmgard Riedmaier, Melanie Spornraft, Benedikt Kirchner and Michael W. Pfaffl, Technical University of Munich

Molecular diagnostics and biomarker discovery are gaining increasing attraction in clinical research. This includes all fields of diagnostics, such as risk assessment, disease prognosis, treatment prediction and drug application success control. The detection of molecular clinical biomarkers is very widespread and can be developed on various molecular levels, like the…

Table 1: Confounding effects influencing measured RNA levels
Table 1: Confounding effects influencing measured RNA levels
article

RNA quality matters

18 December 2012 | By Mikael Kubista, Jens Björkman, David Svec and Robert Sjöback, TATAA Biocenter

RNA levels can be measured with very high specificity, sensitivity and accuracy with techniques such as real-time quantitative PCR (qPCR), microarray analysis and next generation sequencing. This makes messenger (m) RNAs and potentially microRNAs and other non-coding RNAs popular as biomarkers. But RNA is less stable and more dynamic than…

Figure 1 Evolutionary systems biology for personalized medications. Over time, iterative cycles of experimentation and modelling facilitate a move from current understanding and therapeutic options, towards a more complete understanding of disease, with the possibility for personalised therapies. Inputs are needed in the form of system-wide data sets, which are highly anticipated to become increasingly detailed and accurate as analytical technologies improve. Interim benefits are also gained with each advancing cycle, in the form of continually evolving models that improve disease management and guide therapy (Figure produced with Jennifer Logan, University of Liverpool)
Figure 1 Evolutionary systems biology for personalized medications. Over time, iterative cycles of experimentation and modelling facilitate a move from current understanding and therapeutic options, towards a more complete understanding of disease, with the possibility for personalised therapies. Inputs are needed in the form of system-wide data sets, which are highly anticipated to become increasingly detailed and accurate as analytical technologies improve. Interim benefits are also gained with each advancing cycle, in the form of continually evolving models that improve disease management and guide therapy (Figure produced with Jennifer Logan, University of Liverpool)
article

High-throughput PCR based diagnostics: Linking sample handling to molecular oncology risk groups

24 June 2010 | By Ehsan G. Karimiani, Stephan Mohr & Philip J. R. Day, University of Manchester

Cancer molecular pathology broadly relies on the comparison between diseased and normal tissues, with statistically validated differences revealing cancerassociated pathways. This approach, although comparatively one-dimensional, has been remarkably successful, enabling identification of many types of malignant biomarkers and providing the means to develop pharmaceutical agents directed against pertinent biological targets.…

qPCR: Current technologies and future applications
qPCR: Current technologies and future applications
article

qPCR: Current technologies and future applications

9 May 2010 | By European Pharmaceutical Review

A diverse and widely applicable laboratory technique, qPCR is vital for the progression of drug discovery, enabling detection and quantification and commonly used for both diagnostic and basic research. This roundtable brings together experts from a wide range of pharmaceutical applications to discuss current technologies and future applications of qPCR…

article

Article 4: Optimisation of the PCR step of a qPCR assay

30 July 2009 | By

The deceptive simplicity of a typical qPCR assay is an important reason for the exponential growth in the adoption of qPCR-related technologies for both research and diagnostic applications. The only requirements for obtaining ostensibly quantitative data are a mixing of primers, DNA and a mastermix, their distribution into individual tubes…

article

Article 3: qPCR Assay Design

29 May 2009 | By

Real-time PCR (qPCR) data are reliable only if they result from a robust qPCR assay that has been carefully designed, validated and optimised. This process requires an extensive assay design procedure aimed at generating an optimum primer/probe/amplicon combination to allow accurate quantification of nucleic acids with minimum need for post-PCR…