Genetically identical cells in culture show a broad distribution of responses to putatively identical conditions. Current measurement technology only supports the measurement of the mean response of these populations, rather than the diverse responses of the individual cells. This lack of measurement technology has hampered the ability of life science researchers to understand the underlying functional gene and protein networks controlling cellular responses. Using microfluidics, we hope to develop and validate measurement technologies capable of quantifying multiple protein levels from multiple single cell samples within a single experimental platform. In addition, we seek to integrate developed protein measurement platforms with microfluidic cell culture platforms and single-cell measurements of gene expression levels.
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