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Monitoring Cell Health In Real-Time & In 3D

Authors: Roy Edward;

Monitoring Cell Health In Real-Time & In 3D

Abstract

A novel far-red DNA binding viability probe, DRAQ7, has undetectable toxicity in long-term / real-time cell based assays as validated in recent publications (Akagi et al., 2013, Marciniak et al., 2013, Wang et al., 2015 and internal data) including ultra-sensitive bioassays for DNA intercalators, ex-plant tissue culture and nano-particle toxicity, and importantly in the presence of toxicants / anti-cancer compounds. Thus, cells can be exposed to it at any stage of an assay to permit real-time monitoring of loss of membrane integrity (in apoptosis, death). Being DNA specific it allows monitoring cell-by-cell while its spectral properties mean it can be incorporated into multi-colour experiments, or with Hoechst 33342 or CyTRAK Orange (for simple cell health assays) or with mitochondrial membrane potential probes such as TMRM.DRAQ7 is truly cell impermeant yet retains the DNA targeting and far-red fluorescence of the parent DRAQ chromophore. Accordingly, it likewise can be used on HCS imaging platforms, fluorescence microscopes, cytometers and sorters. Its spectral properties (long wavelength) are particularly suited to penetrative imaging of multi-cellular structures and thick ex-plant tissue sections.The presentation will focus on the deployment and application of DRAQ7 to demanding real-time and 3D micro-tissue assays including patient-derived samples that enable strategies for personalised medicine, underpinned by core performance data that define its unique properties.

Keywords

Cell Health; HCS; spheroids; real-time; microscopy; flow cytometry; fluorescence; far-red;

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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