Several recent high-profile examples have been published highlighting the utility of high-resolution competition-based epitope binning in the rapid characterization of diverse monoclonal antibody panels.
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Mapping the epigenetic and transcription factor landscape is essential for understanding gene regulatory mechanisms and holds huge potential for identification of biomarkers and targets for epigenetic therapy.
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Among many exciting precision medicine strategies, RNA-based therapeutics are rapidly growing in popularity and effectiveness. Although progress has been achieved in developing RNA-targeted delivery carriers (mainly by using monoclonal antibodies for targeting), their clinical translation has yet to be fully recognized. This is due, in no small part, to massive development and production requirements and high batch-to-batch variability of current technologies, which currently rely on chemical conjugation. Novel synthesis methodologies could help vault these therapeutic strategies into the market and patients much more quickly.
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Mass spectrometry-based proteomics has been the technique of choice for deep and quantitative analysis of proteomes. However, until recently, the characterization of these proteomes was represented by the bulk analysis of many thousands to millions of cells.
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