NSF Org:	ITE Innovation and Technology Ecosystems
Recipient:	REGENTS OF THE UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, THE
Initial Amendment Date:	September 11, 2023
Latest Amendment Date:	September 11, 2023
Award Number:	2333819
Award Instrument:	Cooperative Agreement
Program Manager:	Jemin George jgeorge@nsf.gov  (703)292-2251 ITE  Innovation and Technology Ecosystems TIP  Directorate for Technology, Innovation, and Partnerships
Start Date:	October 1, 2023
End Date:	September 30, 2026 (Estimated)
Total Intended Award Amount:	$1,499,168.00
Total Awarded Amount to Date:	$1,499,168.00
Funds Obligated to Date:	FY 2023 = $1,499,168.00
History of Investigator:	Sergio Baranzini (Principal Investigator) sergio.baranzini@ucsf.edu
Recipient Sponsored Research Office:	University of California-San Francisco 1855 FOLSOM ST STE 425 SAN FRANCISCO CA  US  94103-4249 (415)476-2977
Sponsor Congressional District:	11
Primary Place of Performance:	The Regents of the University of California, San Francisco 490 Illinois Street SAN FRANCISCO CA  US  94143-4249
Primary Place of Performance Congressional District:	11
Unique Entity Identifier (UEI):	KMH5K9V7S518
Parent UEI:	KMH5K9V7S518
NSF Program(s):	OKN-Open Knowledge Networks
Primary Program Source:	01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s):	223Y00
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.084

ABSTRACT

This project aims to link the Scalable Precision Medicine Open Knowledge Engine (SPOKE) knowledge graph with NASA?s GeneLab platform and incorporate social determinants of health (SDOH) data into SPOKE. SPOKE includes 35 million nodes and 70 million edges gathered from 43 databases and structured on 11 ontologies. SPOKE will expand to include the fields of space biology and medicine, facilitating a two-way translation of knowledge and the identification of valuable analogues to support the advancement of human multiplanetary colonization. SPOKE's integration with GeneLab and SDOH data provides comprehensive analysis of extensive datasets, offering researchers unparalleled access to multispecies biological information. This approach allows identification of common patterns, exploration of new gene-drug interactions, and study of space-related stress effects on gene expression and molecular pathways. It will advance our understanding of space biology and enrich genetics and genomics research more broadly.

The integration of GeneLab experimental data involves creating a computational model to understand challenges astronauts face in space. This involves using GeneLab's omics data and SPOKE's ability to connect data across space and time to develop effective countermeasures. The project also involves understanding and addressing SDOH in managing medical conditions. By analyzing de-identified Electronic Health Record data, researchers can design interventions to promote crew well-being during long space travel and develop equitable healthcare systems for space missions. The project will enhance our understanding of health inequalities, promote diversity, equity, and inclusion within the scientific community, and provide educational opportunities, encouraging STEM careers. The project will also emphasize ethical considerations and privacy protection, while promoting collaboration and accelerating scientific progress for a larger societal impact.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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