PhD Proposal by Chad Glen

Event Details
  • Date/Time:
    • Monday February 8, 2016 - Tuesday February 9, 2016
      10:00 am - 11:59 am
  • Location: Engineered Biosystems Building (EBB), 195 Children's Healthcare of Atlanta Seminar Room
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Summary Sentence: Computational analysis of the intercellular network and its influence on driving spatial differentiation.

Full Summary: No summary paragraph submitted.


Melissa Kemp, PhD (Georgia Institute of Technology)

Todd McDevitt, PhD (Gladstone Institute of Cardiovascular Disease)


Thesis Committee Members:

Michael Levin, PhD (Tufts University)

Krishnendu Roy, PhD (Georgia Institute of Technology)

Brani Vidakovic, PhD (Georgia Institute of Technology)

Eberhard Voit, PhD (Georgia Institute of Technology)

Computational analysis of the intercellular network and its influence on driving spatial differentiation.

            Gap junctions and their protein components, connexins, are associated with multiple cellular functions including metabolic coupling, tumor suppression, and modulation of cell signaling. This diversity of function results in gap junctions being crucial for regulating differentiation during development, while disruption of gap junctions is implicated in the pathology of numerous diseases. Specifically, inhibition of gap junctions in pluripotent stem cells has been reported to abrogate the maintenance of pluripotency, suggesting the gap junction intercellular network may provide a novel mechanism to promote differentiation within cell populations. However, the ability to interrogate intercellular communication networks in a spatiotemporal manner is currently limited. Theoverall objective of this proposal is to determine spatiotemporal characteristics of the gap junction network that drive differentiation in embryonic stem cell colonies. Computational modeling provides a useful tool for analyzing the complex dynamics of various factors that affect intercellular communication, such as cell cycle state and connexin expression, and the resultant emergence of spatial patterns within the network. The central hypothesis is that spatial differentiation within pluripotent colonies is a function of dynamic intercellular communication. Convergent experimental and computational modeling techniques will be applied to assess how modulations to the intercellular network contributes to differentiation potential.

Additional Information

In Campus Calendar

Graduate Studies

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Phd proposal
  • Created By: Jacquelyn Strickland
  • Workflow Status: Published
  • Created On: Jan 27, 2016 - 12:27pm
  • Last Updated: Oct 7, 2016 - 10:16pm