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UID:20260625T164313EDT-9881KoTN3H@132.216.98.100
DTSTAMP:20260625T204313Z
DESCRIPTION:Paul S. Kayne\, PhD\, Applied Genomics\, Bristol-Myers Squibb C
 o. As gene expression profiling experiments become more complex\, new tool
 s are needed for successful prosecution. Improvements needed include large
 r batch sizes\, higher throughput\, increased reproducibility and new meth
 ods of analysis. Here we present a validation of a new high throughput arr
 ay system. Through automation and new designs\, this system enables large 
 scale experimental designs.      Understanding the mechanisms and effects 
 of compounds is an area that has largely been underserved by gene expressi
 on profiling\, due in part to modestly designed experiments. We will discu
 ss our approach to understanding kinase inhibitors. We employ the high thr
 oughput arrays to undertake designs incorporating dose curves\, and new me
 thods for analysis. Taken together\, we are able to better understand the 
 actions of these inhibitors on multiple targets of action.\n
DTSTART:20080403T183000Z
DTEND:20080403T193000Z
LOCATION:Duff Medical Building\, CA\, QC\, Montreal\, H3A 2B4\, 3775 rue Un
 iversity
SUMMARY:High throughput microarray platform: Validation and use in characte
 rizing kinase
URL:https://www.mcgill.ca/channels/event/high-throughput-microarray-platfor
 m-validation-and-use-characterizing-kinase-29795
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