Person:
Styczynski, Mark P.

Associated Organization(s)
ORCID
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Publication Search Results

Now showing 1 - 2 of 2
  • Item
    Health Systems: The Next Generation - Rapid Fire Research Presentations 2018
    (Georgia Institute of Technology, 2018-11-09) DuBose, Jennifer R. ; Hughes, Danny ; Inan, Omer T. ; Li, Zihao ; Styczynski, Mark P.
    This event will focus on improving health systems, with a focus on promoting wellness in addition to treating disease, and how data and technology might enable and support a transformation. Through panel discussion, we will explore the theme of "Moving from Sick-care to Healthcare" and further dive into the topic of "Proactive Innovations Moving Healthcare Forward.” Rapid fire presentations and the poster sessions will showcase ideas for the future, allowing for dialogue and networking between presenters and participants.
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    Uncovering Metabolic Regulation and Dynamics
    (Georgia Institute of Technology, 2012-07-10) Styczynski, Mark P.
    Understanding and controlling cellular metabolism (the process by which nutrients taken into a cell are turned into energy and the building blocks for more cells) is crucial to numerous applications, from enabling more efficient bioenergy production to unraveling the mechanisms of diseases like cancer. However, true understanding of (and control over) metabolism is hindered by a dearth of information available about the dynamics of metabolism and the molecular mechanisms that regulate those dynamics. A deeper understanding in these areas would enable much more efficient manipulation of existing metabolic networks to circumvent or exploit native metabolic regulation. In this seminar, we will discuss our work as we begin to unravel metabolic dynamics and regulation in two different (yet related) systems: yeast and cancer. Using mass spectrometry, we investigate the metabolic dynamics of cancer cells in response to environmental perturbations that we expect tumors to encounter in vivo. We also use complementary high-throughput analytical techniques to begin to enumerate the space of metabolite-protein interactions in the metabolic network of the yeast Saccharomyces cerevisiae.