LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS
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TP07<br />
Anne T. Ferguson<br />
MDS Sciex<br />
Sunnyvale, California<br />
anne.ferguson@sciex.com<br />
Where Laboratory Technologies Emerge and Merge<br />
Co-Author(s):<br />
Debra Gallant<br />
Ryan McGuinness<br />
Gordon Leung<br />
MDS Sciex<br />
Yuanping Wang<br />
Lisa Minor<br />
Jenson Qi<br />
Johnson & Johnson, PRD<br />
Development of a Label-Free Cellular Assay for an Endogenously-Expressed GPCR<br />
Using Cellular Dielectric Spectroscopy<br />
Cell based assays for drug discovery offer advantages over molecular approaches by providing more complex data in a living cell state.<br />
Additionally, screening receptor targets in the endogenous setting provides data that is more physiologically relevant with less effort than<br />
transfected and cloned cell lines. Using CDS, a label-free cellular assay, we analyzed the activation of an important GPCR expressed<br />
endogenously in two related rhabdomyosarcoma cell lines. It is important to note that CDS was capable of measuring cellular responses<br />
to ligand addition where Ca2+ assays were not. Both a receptor agonist and antagonist were evaluated and EC50 and IC50 values were<br />
derived. Receptor specificity was also demonstrated by effectively blocking the cellular responses to agonist after antagonist pre-treatment.<br />
This novel and simplified approach enabled the development of a physiologically relevant cellular assay that is useful in drug discovery<br />
applications.<br />
TP08<br />
Igor Fomenko<br />
Amgen<br />
Newbury Park, California<br />
ifomenko@amgen.com<br />
Co-Author(s)<br />
Bahram G. Kermani, Illumina<br />
Theo Kotseroglou<br />
Behrouz Forood<br />
Lori Clark<br />
David Barker<br />
Michal Lebl<br />
Illumina<br />
Decoding Beads in a Randomly-Assembled Optical Nose<br />
In Illumina’s technology, the term bead is synonymous with microsensors used in optical arrays. Unlike orderly arranged microarrays, a<br />
randomly-assembled array would need to be processed via a so-called decoding step, in order to identify the location of each beadtype.<br />
Illumina’s O-Nose technology is radically different from the electronic nose (E-Nose) technologies by several factors, e.g., the number of<br />
sensors. In an O-Nose application, one can easily obtain 2000 usable sensors. The quantity of sensors, however, does come at a price,<br />
i.e., the necessity for a decoding procedure. The decoding step plays a challenging role in the O-Nose technology. A novel supervised<br />
learning technique of decoding randomly-assembled arrays, based on subspace classifier method is proposed.<br />
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