Birth defects, such as those effecting cardiovascular (e.g. Coarctation of the Aorta), nervous system (e.g. Spina bifida) and craniofacial development (e.g. Cleft Palate) are responsible for roughly 20% of infant deaths in the United States and place an exceeding burden on the health care system amounting to billions of dollars each year. Such defects are often the result of disruptions in embryogenesis, which depends on tight regulation of key pathways including Wnt, Hedgehog, Notch, PAR, and Bone morphogenetic peptide/TGF beta. Many of the protein complexes involved in these pathways however lack detailed molecular characterization, and more still remain to be discovered. Large-scale proteomics efforts focused on embryonic tissues are beginning to systematically identify proteins in vast numbers. Using these data, I propose to develop new methods to structurally and functionally characterize protein complexes associated with embryogenesis. Specifically, I will develop novel computational tools (i) to datamine for proximal interactions (i.e. protein subcomplexes) as well as (ii) to calculate protein stoichiometry. I will then integrate this information to build structural models capable of both characterizing individual complex functions as well as identifying their role in developmental failure. These results will provide a greatly needed mechanistic understanding of the protein complexes associated with embryogenesis and potentially uncover therapeutic targets to treat developmental failures. Moreover, the methods developed here will provide the capability to analyze virtually any biological system and thus should have broad implications for the study of many diseases.

Public Health Relevance

Failures during embryogenesis result in debilitating birth defects, which are responsible for roughly 20% of the US infant mortality rate and billions of dollars in health care costs. I propose to investigate protein complexes that regulate embryogenesis using recent advances in proteomics as well as novel computational techniques of my own. Results of this proposal will allow for greater insight into how birth defects arise and should provide avenues for therapeutics.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32GM112495-03
Application #
9185986
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Flicker, Paula F
Project Start
2014-12-01
Project End
2017-11-30
Budget Start
2016-12-01
Budget End
2017-11-30
Support Year
3
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Texas Austin
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
170230239
City
Austin
State
TX
Country
United States
Zip Code
78759
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Drew, Kevin; Müller, Christian L; Bonneau, Richard et al. (2017) Identifying direct contacts between protein complex subunits from their conditional dependence in proteomics datasets. PLoS Comput Biol 13:e1005625
Drew, Kevin; Lee, Chanjae; Huizar, Ryan L et al. (2017) Integration of over 9,000 mass spectrometry experiments builds a global map of human protein complexes. Mol Syst Biol 13:932
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Wan, Cuihong; Borgeson, Blake; Phanse, Sadhna et al. (2015) Panorama of ancient metazoan macromolecular complexes. Nature 525:339-44