The Center for High-Throughput Functional Annotation of Natural Products unites the natural products chemistry, biological screening, data analytics and bioinformatic strengths of UTSW and UC Santa Cruz to generate a center for natural products research that can use innovative strategies to study the biological effects of botanicals and natural products. Assigning the mechanism of action to botanicals and natural products (mixtures and pure compounds) is a rate limiting challenge for their use and development as supplements and therapeutics. Botanicals and dietary supplements are a particular challenge, as these are often complex mixtures that can change in the constituents and concentration of individual compounds. To prosecute our goal of the chemical and biological characterization of botanicals and natural products with appropriate speed, breadth and precision, we are employing high innovative orthogonal cell-based high content phenotypic screening approaches to return bioactive molecules of interest together with information about their molecular targets. These platforms, cytological profiling (Roger Linington) and FUSION (John MacMillan and Michael White) have been demonstrated to work with complex mixtures as well as pure compounds. While both of these are high-throughput platforms that provide unique biological insight in their own right, combining the output through novel bioinformatic methods will allow us to probe natural products in greater detail. Our deliverables will be a data and data analytics pipeline that will help define the mechanism(s) of action of botanicals and natural products, tools to study synergistic and additive relationships and cellular/molecular fingerprints of botanicals and natural products. A vital component of this Center is the dissemination of data to the greater scientific community. A number of searchable, data driven website will be created to allow the scientific community access to the primary data.

Public Health Relevance

The overarching goal of this CANPIT proposal is use innovative phenotypic screening approaches to identify the mechanisms of action of botanicals and natural products. As the use of botanicals and dietary supplements continues to rise in the United States we still have relatively little understanding of the molecular basis of how these extracts and compounds work. This has profound implications on the efficacy and safety of these products. The approaches described as part of our center will provide a molecular understanding for a large number of botanicals and natural products. Through our data coordination and dissemination component, the results from our studies will be available to the greater scientific community and consumers of botanical and dietary supplements

Agency
National Institute of Health (NIH)
Institute
National Center for Complementary & Alternative Medicine (NCCAM)
Type
Biotechnology Resource Cooperative Agreements (U41)
Project #
5U41AT008718-03
Application #
9305843
Study Section
Special Emphasis Panel (ZAT1)
Program Officer
Hopp, Craig
Project Start
2015-09-01
Project End
2017-10-31
Budget Start
2017-07-01
Budget End
2017-10-31
Support Year
3
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Texas Sw Medical Center Dallas
Department
Biochemistry
Type
Schools of Medicine
DUNS #
800771545
City
Dallas
State
TX
Country
United States
Zip Code
75390
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Pye, Cameron R; Bertin, Matthew J; Lokey, R Scott et al. (2017) Reply to Skinnider and Magarvey: Rates of novel natural product discovery remain high. Proc Natl Acad Sci U S A 114:E6273
Vaden, Rachel M; Oswald, Nathaniel W; Potts, Malia B et al. (2017) FUSION-Guided Hypothesis Development Leads to the Identification of N?,N?-Dimethyladenosine, a Marine-Derived AKT Pathway Inhibitor. Mar Drugs 15:
Pye, Cameron R; Bertin, Matthew J; Lokey, R Scott et al. (2017) Retrospective analysis of natural products provides insights for future discovery trends. Proc Natl Acad Sci U S A 114:5601-5606
Kalwat, Michael A; Wichaidit, Chonlarat; Nava Garcia, Alejandra Y et al. (2016) Insulin promoter-driven Gaussia luciferase-based insulin secretion biosensor assay for discovery of ?-cell glucose-sensing pathways. ACS Sens 1:1208-1212