
NSF Org: |
CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems |
Recipient: |
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Initial Amendment Date: | August 14, 2015 |
Latest Amendment Date: | May 16, 2016 |
Award Number: | 1547810 |
Award Instrument: | Standard Grant |
Program Manager: |
Aleksandr Simonian
asimonia@nsf.gov (703)292-2191 CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems ENG Directorate for Engineering |
Start Date: | September 1, 2015 |
End Date: | August 31, 2018 (Estimated) |
Total Intended Award Amount: | $149,687.00 |
Total Awarded Amount to Date: | $154,687.00 |
Funds Obligated to Date: |
FY 2016 = $5,000.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
5000 FORBES AVE PITTSBURGH PA US 15213-3890 (412)268-8746 |
Sponsor Congressional District: |
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Primary Place of Performance: |
5000 Forbes Avenue Pittsburgh PA US 15213-3815 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | Engineering of Biomed Systems |
Primary Program Source: |
01001617DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
PI: LeDuc, Philip R.
Proposal Number: 1547810
PI: Davidson, Lance A.
Proposal Number: 1547790
Cellular biomanufacturing is significant for cell and tissue-based therapies and drug testing applications. Procuring the necessary types of cells from tissues as the starting material is critical for the success of cellular biomanufacturing operations. In this application, the investigators will study a new technology that has been developed for controlling fluid flow at the micrometer scale to extract live cells from living tissues, so they can be used as building blocks for the biomanufacturing industry.
Cells most desired for biomanufacturing grow naturally within a complex heterogeneous three dimensional (3D) environment within human bodies, making their extraction very challenging. The goal of this proposal is to develop high throughput cell-harvesting approaches that allow for the controlled spatiotemporal application of reagents to 3D tissues for targeted cell extraction. To accomplish this, the investigators plan to develop a novel microfluidic harvesting approach to simultaneously image and etch phantom tissues layer-by-layer while recovering target cells downstream; and implement this microfluidics approach for use with laboratory grown organ-buds, i.e. organoids, to enable the extraction of stem cells with spatiotemporal control. The investigators will develop the ability to collect cells from defined locations within small complex 3D tissues such as organoids and use microfluidics to sort extracted cells and maintain their viability. If successful, this project will produce a significant advancement in the targeted harvesting of highly desired stem and progenitor cells from organoids and tissues with a high throughput technology that will then enable the use of recovered cells in cellular biomanufacturing as building blocks for diagnostic and therapeutic applications. The broader impacts of these studies include building an education and training pipeline for preparing future leaders in engineering and science.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The research for this project came at an important time as advanced manufacturing is driving toward future products and medically useful approaches in the United States. Biomanufacturing is a rapidly evolving field that will enable exciting advances. The responses of multicellular biology systems were very related to manufacturing for developing future therapies and diagnostics. While traditional approaches have made some progress, addressing these challenges with logical yet novel ideas led to significant insights for biological approaches and responses in the future. One goal of this proposal was to develop high throughput cell analysis approaches that allowed for the controlled application of reagents to 3D tissues for targeted cell collection. This was a multidisciplinary project involving Carnegie Mellon University and the University of Pittsburgh. The team was uniquely qualified for this project by virtue of its diverse strengths in multi-cellular systems, microfluidics, and cell and molecular biology. While this project was multidisciplinary in nature, the principal discipline of the project was biomedical engineering and advanced manufacturing. The unique contribution of this project rested in its multidisciplinary approach to the advancement of the understanding of biology, manufacturing, engineering, and multicellular response. As opposed to employing separate approaches for these multidisciplinary problems, the team developed a hybrid approach, which used the skills of an engineer to build devices merged with answering biological questions. This will have implications beyond advanced manufacturing for the diagnosis, understanding, and treatment of disease. Furthermore, by providing fundamental understanding, this research targeted to ensure the successful implementation of these ideas in academia, government, and industry.
The intellectual merit of this proposal was the development of a generalizable approach that will enable microfluidic based analysis of cells from within complex 3D tissues. This project produced a significant advancement in the targeted analysis of cells from tissues with a high throughput technology to use cells in cellular biomanufacturing as building blocks for other applications including diagnostic and therapeutic approaches. In the long term this approach will also be adapted to isolating other cells types from a variety of 3D tissues. The proposed interdisciplinary research combines complementary skill sets and research infrastructure of the research groups with expertise in microfluidics, cell biology, biomaterials, and imaging.
The broader impact of these studies included building an education and training pipeline for preparing future leaders in engineering and science. This was accomplished through work with K-12 students, undergraduate students, and graduate students. One major focus here was to develop a successful minority PhD program building off of successes over the past decade for minority PhDs. These efforts also included work with academically challenged public schools in Pennsylvania. In addition, work was extended through appointments in the Sloan Foundation Minority PhD program in continuing to build on diversity efforts.
The results from the research over this 2 year grant have been presented in more than 10 peer-reviewed archival journal publications, and have provided support for 2 PhD students. The work has also been presented at a variety of conferences including the Biomedical Engineering Society, the Biophysical Society, and the American Society of Mechanical Engineers International Mechanical Engineering Congress and Exposition. Graduate students involved in this project developed a combined biology, manufacturing, engineering, and material science background that have made them highly valuable in industry and academics. In addition, the research of this project was fundamental, yet required an intuitive, hands-on understanding of biomedical engineering merged with advanced manufacturing. This combination of skills provided them a unique training for a graduate-level project. Students in this program also benefited greatly from interactions with engineering and biology faculty. The graduation of these students helped address the growing industry and scientific need for multidisciplinary engineers, who are comfortable working in teams of diverse technical background.
Last Modified: 11/15/2018
Modified by: Philip R Leduc
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