{"145681":{"#nid":"145681","#data":{"type":"event","title":"Chang F. Quo - Ph.D. Defense Presentation","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003Cbr \/\u003E \u003C\/strong\u003EDr. May D Wang, BME, Thesis advisor\u003Cbr \/\u003E Dr. Leonid Bunimovich, MATH\u003Cbr \/\u003E Dr. Melissa Kemp, BME\u003Cbr \/\u003E Dr. Alfred H Merrill, Jr., BIOL\u003Cbr \/\u003E Dr. Mark Prausnitz, ChBE\u003C\/p\u003E\u003Cp\u003EMotivated not only by the observation that robust behavior in metabolic pathways resembles stabilized dynamics in controlled systems, but also by the challenges forewarned in interdisciplinary research between engineering and biology, this dissertation is an initial study of how engineering control may be applied to model homeostasis in metabolic pathways. \u003Cbr \/\u003E \u003Cbr \/\u003E In particular, a comparator model is developed and applied to model the effect of SPT overexpression on C16:0 sphingolipid de novo biosynthesis in vitro, specifically to simulate and predict potential homeostatic pathway interactions between the pathway metabolites, using the wild type pathway dynamics as a reference for the treated cells. Sphingolipid de novo biosynthesis is highly regulated because its pathway intermediates are bioactive. Alterations in sphingolipid synthesis, storage, and metabolism are implicated in human diseases. In addition, when variation in structure is considered, sphingolipids are one of the most diverse and complex families of biomolecules. \u003Cbr \/\u003E \u003Cbr \/\u003E Key outcomes show that the proposed approach to model homeostasis in metabolic systems using a comparator is: (a) effective in capturing observed pathway dynamics from experimental data, with no significant difference in precision from existing models, (b) robust to potential errors in estimating state-space parameters as a result of sparse data, (c) generalizable to model other metabolic systems, as demonstrated by testing on a separate independent dataset, and (d) through verification from literature and additional experimental data, biologically relevant in terms of predicting steady-state feedback as a result of homeostasis.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u201cReverse engineering homeostasis in molecular biological systems\u201d\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Reverse engineering homeostasis in molecular biological systems"}],"uid":"27547","created_gmt":"2012-08-13 08:24:57","changed_gmt":"2016-10-08 01:59:24","author":"Chris Ruffin","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2012-08-20T16:30:00-04:00","event_time_end":"2012-08-20T18:30:00-04:00","event_time_end_last":"2012-08-20T18:30:00-04:00","gmt_time_start":"2012-08-20 20:30:00","gmt_time_end":"2012-08-20 22:30:00","gmt_time_end_last":"2012-08-20 22:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"65448","name":"Bioengineering Graduate Program"}],"categories":[],"keywords":[{"id":"569","name":"bioengineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:chris.ruffin@ibb.gatech.edu\u0022\u003EMr. Chris Ruffin\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}