3D Bioprinting Shared Facility for Advancing Interdisciplinary Research at the University of South Carolina

3D Bioprinting Shared Facility for Advancing Interdisciplinary Research at the University of South Carolina is sponsored by NIH. Establishes a state-of-the-art 3D bioprinting shared facility to enhance and modernize research capacity in biomedical sciences.

3D Bioprinting Shared Facility for Advancing Interdisciplinary Research at the University of South Carolina Project Number 1S15OD039820-01 Contact PI/Project Leader TAHERI QAZVINI, NADER Project Summary/Abstract The University of South Carolina (USC) seeks to establish a state-of-the-art 3D bioprinting shared facility, equipped with an advanced CELLINK bioprinting system to significantly enhance and modernize research capacity in biomedical sciences.

This system will consist of three core components: the BIO X6, a versatile extrusion-based bioprinter with six printheads allowing for simultaneous deposition of multiple biomaterials; the BIONOVA X, a high-throughput digital light processing (DLP)-based bioprinter for rapid fabrication of complex 3D structures; and the LUMEN X, a high-precision, light-based bioprinter designed to create intricate microarchitectures such as vascular networks.

This integrated system will enable the creation of physiologically relevant, multi-cellular tissue constructs, addressing critical gaps in USC's current research infrastructure and advancing research operations to a new level of sophistication and efficiency.

The acquisition of this cutting-edge technology will enhance USC's research capabilities in critical areas such as tissue engineering, regenerative medicine, personalized therapeutics, and disease modeling. It will directly benefit multiple NIH-funded projects, including studies on cardiac tissue engineering, muscle regeneration, and neurodegenerative diseases.

The system will allow researchers to create complex 3D tissue constructs, incorporating multiple cell types and biomaterials to replicate the heterogeneity of native human tissues. This capability is particularly important for the development of more accurate models for drug efficacy and toxicity testing, which are essential to reducing reliance on animal models and accelerating drug discovery pipelines.

Furthermore, the ability to generate vascularized tissue constructs will enhance USC's ongoing research in fields like cardiovascular disease, cancer, and neurodegenerative disorders.

The 3D bioprinting facility will be a shared resource, managed by the Office of the Vice President for Research, promoting interdisciplinary collaboration and cost-effective research across multiple academic units, including Molinaroli College of Engineering and Computing, School of Medicine, College of Pharmacy, College of Art and Sciences, and the Arnold School of Public Health.

USC is committed to supporting this facility with dedicated staff and resources to ensure its long-term sustainability and optimal utilization. It will serve as a hub for training graduate students, postdoctoral researchers, and faculty in cutting-edge bioprinting technologies, enhancing USC's competitive position in securing high-impact research grants.

Long-term, the facility aims to significantly strengthen USC's position in biomedical research by enabling the development of advanced tissue models, improving the efficiency of preclinical research, and fostering innovations in tissue engineering and regenerative medicine that have the potential to inform future clinical applications.

Public Health Relevance Statement Project Narrative The proposed 3D bioprinting shared facility at USC will significantly enhance biomedical research capabilities relevant to public health. By enabling the creation of more accurate 3D tissue models, the facility will support improved studies of diseases and testing of new therapies.

These advanced models have the potential to accelerate drug discovery processes and reduce reliance on animal testing. Over time, research conducted using this facility could contribute to the development of more effective treatments for conditions such as cancer, cardiovascular disease, and neurodegenerative disorders, ultimately supporting efforts to improve public health outcomes.

Bioengineering Biotechnology Neurodegenerative Regenerative Medicine Translational Research 3-Dimensional Acceleration Address Advanced Development Animal Model Animal Testing Area Biocompatible Materials Biomedical Research Blood Vessels Cardiovascular Diseases Complex Dedications Deposition Development Disease Drug Modelings Engineering Ensure Faculty Fostering Funding Future Heterogeneity Interdisciplinary Study Light Malignant Neoplasms Modeling Modernization Neurodegenerative Disorders Office Management Operations Research Outcome Pharmacy facility Physiological Positioning Attribute Postdoctoral Fellow Process Public Health Public Health Schools Regenerative Medicine Research Research Infrastructure Research Personnel Research Project Grants Resource Sharing Resources Science Secure South Carolina System Systems Integration Technology Testing Time Tissue Engineering Tissue Model Tissue constructs Toxicity Tests Training United States National Institutes of Health Universities Vascularization bioprinting cardiac tissue engineering cell type clinical application college cost effective design digital disease model drug discovery effective therapy efficacy testing fabrication graduate student human tissue improved innovation interdisciplinary collaboration medical schools muscle regeneration novel therapeutics personalized therapeutic pre-clinical research reduce animal use three dimensional structure BIOMED ENGR/COL ENGR/ENGR STA [Special Emphasis Panel[ZRG1 KUDS-S (90)]](https://public.

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gov/StudySections/SmallBusinessAndTechnologyTransfer) Administering Institutes or Centers NIH Office of the Director Assistance Listing Number Project Funding Information for 2025 NIH Categorical SpendingClick here for more information on NIH Categorical Spending No Sub Projects information available for 1S15OD039820-01 Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding.

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