Conferences \ Genomics Research Europe \ Advances in qPCR Europe \ Agenda \ Mikael Kubista |
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Taking Expression Profiling to New DimensionsTuesday, 4 September 2012 at 14:15 Add to Calendar ▼2012-09-04 14:15:002012-09-04 15:15:00Europe/LondonTaking Expression Profiling to New Dimensions SELECTBIOenquiries@selectbiosciences.com First step in new projects is usually exploratory aiming to identify interesting expression markers by screening. In classical analysis the expression of each gene is compared separately under the studied conditions and those genes that show most significant differential expression are considered important. However, variation between individuals and processing noise confounds the measured results and some of the selected genes are usually invariant of treatment but appear as false positives, while other genes that are sensitive to treatment escape notice because of the confounding variance. In my talk I will show how the precision in the selection is dramatically improved using multivariate methods that exploit correlation between genes’ expressions. The approach is particularly powerful on disintegrated samples analyzed on single cell level, since complexity is dramatically reduced. Single cell expression data are collected on high-throughput BioMark and OpenArray qPCR instrument, genes with correlated expressions are identified using GenEx, and submitted to Ingenuity database to link expression to biology. This exceedingly powerful workflow we use to study astrocytes, characterizing subtypes and changes induced under conditions such as aging and healing after induced brain damage. |