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McDonald, John F.

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    The Potential of Machine Learning for Improved Diagnostics and Treatment
    (Georgia Institute of Technology, 2019-06-12) McDonald, John F.
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    The Smart Grid and Energy Data: Measurement and Management
    (Georgia Institute of Technology, 2011-03-30) McDonald, John F. ; Khan, Musaddeq ; Malik, Sanjoy
    The Smart Grid has the potential to provide overwhelming amounts of data about residential, commercial and industrial energy consumption. Further, it offers the possibilities of two-way interaction between consumer and provider. What is a vision of data management as the Smart Grid is deployed? From user and provider perspectives, what anticipated changes to data management will occur as increased intelligence and digital infrastructure is deployed? What solutions are economically viable? The March program will explore the topic of Smart Grid data management and will provide insightful solutions from established and emerging businesses.
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    Chemosensitization of cancer cells by siRNA using targeted nanogel delivery
    (Georgia Institute of Technology, 2010-01-11) Dickerson, Erin B. ; Blackburn, William H. ; Kapa, Laura B. ; Lyon, L. Andrew ; McDonald, John F.
    Background. Chemoresistance is a major obstacle in cancer treatment. Targeted therapies that enhance cancer cell sensitivity to chemotherapeutic agents have the potential to increase drug efficacy while reducing toxic effects on untargeted cells. Targeted cancer therapy by RNA interference (RNAi) is a relatively new approach that can be used to reversibly silence genes in vivo by selectively targeting genes such as the epidermal growth factor receptor (EGFR), which has been shown to increase the sensitivity of cancer cells to taxane chemotherapy. However, delivery represents the main hurdle for the broad development of RNAi therapeutics. Methods. We report here the use of core/shell hydrogel nanoparticles (nanogels) functionalized with peptides that specially target the EphA2 receptor to deliver small interfering RNAs (siRNAs) targeting EGFR. Expression of EGFR was determined by immunoblotting, and the effect of decreased EGFR expression on chemosensitization of ovarian cancer cells after siRNA delivery was investigated. Results. Treatment of EphA2 positive Hey cells with siRNA-loaded, peptide-targeted nanogels decreased EGFR expression levels and significantly increased the sensitivity of this cell line to docetaxel (P < 0.05). Nanogel treatment of SK-OV-3 cells, which are negative for EphA2 expression, failed to reduce EGFR levels and did not increase docetaxel sensitivity (P > 0.05).