Defining the Components of Local Signaling Networks That Regulate Cell Morphology Using Quantitative Morphological Signatures.
Speaker: Chris Bakal , Harvard Medical School
Date: March 14 2007
Time: 11:30AM to 1:00PM
Location: TOC lab 32-G575
Host: Bonnie Berger and Peter Clote, MIT/BC
Contact: Patrice Macaluso, 617-253-3037, macaluso@csail.mit.edu
Relevant URL: Classical genetic and biochemical approaches have identified hundreds of
unique proteins that play roles in the dynamic remodeling of cell shape,
but there is little understanding of how these proteins are physically
organized into networks in subcellular space, and how information flows
through this sophisticated molecular circuitry in real-time. In order to
model the signaling networks that regulate cell shape, we have developed
technology in order to quantify single cell morphology in a fast, robust,
and cost-efficient manner. We are using this technology in tandem with
systematic high-throughput RNAi screening to develop quantitative
morphological signatures for every gene in the Drosophila genome. This
compendium of signatures represents a novel dataset that can be used to
determine relationships between genes, predict gene function and protein
localization, or that can be integrated using computational methods with
publicly available datasets to generate a comprehensive model of a
signaling network that controls cell shape.
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