Spatio-temporal Control of Rho Family Signaling Networks in Motility

Abstract

Our goal is to combine innovative computational approaches with novel molecular tools for imaging and manipulating intracellular signaling networks in living cells to elucidate the molecular mechanisms that drive cell migration. The ability to both manipulate and visualize signaling pathways in vivo combined with computational methods for image analysis will generate the quantitative data needed to develop predictive mathematical models. Together these tools enable unprecedented resolution for deciphering the complex control mechanisms that coordinate Rho GTPase signaling during cell migration. In particular, we will elucidate mechanisms of feedback, feed forward and cross regulation that tightly control the spatiotemporal activity of the canonical Rho GTPases, RhoA, Rac1 and Cdc42. We hypothesize that different regulatory mechanisms operate in different regions of the cell, and that this differential regulation is critical for proper cell migration.

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Document Details

Document Type
Technical Report
Publication Date
Mar 10, 2020
Accession Number
AD1115393

Entities

People

  • Klaus M Hahn
  • Timothy C Elston

Organizations

  • University of North Carolina at Chapel Hill

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Applied Computer Science
  • Bayesian Networks
  • Biology
  • Biosensors
  • Cell Movement
  • Cells
  • Cellular Structures
  • Computational Biology
  • Computational Science
  • Cytoskeleton
  • Deep Learning
  • Dynamics
  • Illumination
  • Learning
  • Mathematical Models
  • Microscopy
  • Models
  • Neural Networks
  • Polarity
  • Probabilistic Models
  • Simulations
  • Systems Biology

Fields of Study

  • Biology

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