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Assay systems are methods that are used to measure the presence, amount or activity of a substance e.g. a drug, cell type or cell component. A wide range of experimental methods are used to measure different components of organic samples in assay systems.
Limited experimental platforms exist for assessing quantitative sequence-function relationships for multiple antibodies. Here, authors develop a deep-sequencing based technology called MAGMA-seq, that determines the quantitative properties of antibody libraries.
Assessing tumour microenvironment-targeted drug candidates remains challenging. Here, the authors develop a comprehensive screening platform that allows for monitoring, quantifying, and ranking drug-induced effects in self-organizing, vascularized tumour spheroids.
The discovery of antibodies that bind with high affinity to clinically relevant antigens can be sped up by leveraging next-generation sequencing to screen hundreds of millions of antibody–antigen interactions.
Pharmaceutical companies continue to advocate for the use of in vitro models towards the reduction of animal use in drug discovery and development while acknowledging that further advancements are needed to heighten the models’ current state of readiness.
DNA-based molecular computation allows for the simultaneous detection of multiple types of biomarker, as shown for the accurate identification of prostate cancer in serum samples on the basis of specific RNAs, proteins and small molecules.
INSPECTR is a technique for detecting nucleic acids that couples the sensitivity and specificity of nucleic acid splinted ligation with the versatile readouts of cell-free gene expression. The result is an ambient-temperature workflow that enables the detection of pathogenic viruses at low copy numbers.