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Characterizing Signaling Networks in Single Cells


EMSL Project ID
46392

Abstract

Cell communities exhibit complex responses to changes in their environment. Studying the molecular changes (e.g., RNA and protein) associated with these changes is likely to improve the ability to predict the behavior of these communities and engineer them for human benefit. However, traditional assays that measure these molecular changes at the population level obscure the underlying cell to cell variability that exist even in homogenous (clonal) populations. Here we propose experiments to characterize signaling networks in single cells using quantitative real-time PCR and microfluidic systems to decrease the necessary sample input and increase the resolution of the molecular measurements. By understanding the differences in signaling at the level of the cell, rather than cell population, we can begin to unravel the apparent heterogeneity in cell response (so called 'rare-events' that mediate many biological processes.

Project Details

Start Date
2012-01-23
End Date
2013-02-12
Status
Closed

Team

Principal Investigator

Bryan Linggi
Institution
Environmental Molecular Sciences Laboratory

Team Members

Nitin Agrawal
Institution
George Mason University