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Label-Free Cell-Based Functional Assays

Authors: Lisa K, Minor;

Label-Free Cell-Based Functional Assays

Abstract

Label-free technologies based on electrical impedance or refractive index are new tools for measuring a cell-based functional response. Although the technologies are relatively new to high throughput screening cell-based applications, they are rapidly generating interest in that they are able to measure a phenotypic response using cells natively expressing the target protein without using dyes or cellular extracts. In addition, one can measure the cellular response using a kinetic mode resulting in an assay potentially rich in content. This article will describe these technologies and their applications in measuring cell proliferation, cell attachment and spreading, cell apoptosis and their application for several receptor target classes, including receptor tyrosine kinases and G protein-coupled receptors. The potential utility and drawbacks of these tools for high throughput screening, directed screening and compound profiling will also be discussed.

Related Organizations
Keywords

Enzyme Activation, Cells, Animals, Humans, Receptor Protein-Tyrosine Kinases, Biological Assay, Receptors, G-Protein-Coupled

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    35
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Average
Top 10%
Top 10%
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