Award Abstract # 1946202
RII Track-1: ND-ACES: New Discoveries in the Advanced Interface of Computation, Engineering, and Science
NSF Org: |
OIA
OIA-Office of Integrative Activities
|
Recipient: |
NORTH DAKOTA STATE UNIVERSITY
|
Initial Amendment Date:
|
May 6, 2020 |
Latest Amendment Date:
|
May 24, 2024 |
Award Number: |
1946202 |
Award Instrument: |
Cooperative Agreement |
Program Manager: |
Jose Colom
jcolom@nsf.gov
(703)292-7088
OIA
OIA-Office of Integrative Activities
O/D
Office Of The Director
|
Start Date: |
July 1, 2020 |
End Date: |
June 30, 2026 (Estimated) |
Total Intended Award
Amount: |
$20,000,000.00 |
Total Awarded Amount to
Date: |
$20,000,000.00 |
Funds Obligated to Date:
|
FY 2020 = $3,061,410.00
FY 2021 = $8,796,699.00
FY 2023 = $4,234,437.00
FY 2024 = $3,907,454.00
|
History of Investigator:
|
-
Colleen
Fitzgerald
(Principal Investigator)
colleen.fitzgerald@ndsu.edu
-
Scott
Snyder
(Co-Principal Investigator)
-
Kelly
Rusch
(Former Principal Investigator)
-
Jean
Ostrom-Blonigen
(Former Co-Principal Investigator)
-
John
Mihelich
(Former Co-Principal Investigator)
|
Recipient Sponsored Research
Office: |
North Dakota State University Fargo
1340 ADMINISTRATION AVE
FARGO
ND
US
58105
(701)231-8045
|
Sponsor Congressional
District: |
00
|
Primary Place of
Performance: |
North Dakota State University Fargo
1805 NDSU Research Park Dr.
Fargo
ND
US
58108-6050
|
Primary Place of
Performance Congressional District: |
00
|
Unique Entity Identifier
(UEI): |
EZ4WPGRE1RD5
|
Parent UEI: |
EZ4WPGRE1RD5
|
NSF Program(s): |
EPSCoR RII: Track-1, EPSCoR Research Infrastructure
|
Primary Program Source:
|
01002122DB NSF RESEARCH & RELATED ACTIVIT
01002425DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT
01002223DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT
01002425DB NSF RESEARCH & RELATED ACTIVIT
01002021DB NSF RESEARCH & RELATED ACTIVIT
|
Program Reference
Code(s): |
9150,
7217
|
Program Element Code(s):
|
193Y00,
721700
|
Award Agency Code: |
4900
|
Fund Agency Code: |
4900
|
Assistance Listing
Number(s): |
47.083
|
ABSTRACT

In order to diversify North Dakota?s economy beyond agriculture and energy, ND-ACES will generate new knowledge and increase jurisdictional competitiveness in bioscience areas, particularly those related to cancer therapies. A key focus is the improved understanding of the region of contact, or biointerface, between a biological tissue and a biomaterial. Scaffold biomaterials will be designed that stimulate the growth of new tissue at the biointerface. ND-ACES will optimize the design of biointerfaces through a collaboration among multiple fields of sciences and engineering, including materials science, cell biology and biochemistry, medicine, and computational modeling. Computational tools will allow the modeling of the 3D cancerous tumor environment and resulting cellular responses. These studies will address the urgent need to increase the understanding of interactions between cells and surfaces in the context of tumor growth, metastasis, and response to therapies. ND-ACES will enhance research resources and develop the computationally skilled workforce in North Dakota. During the five years of this project, a diverse group of researchers and students from ten academic institutions in North Dakota, including four tribal colleges, three primarily undergraduate institutions, and one master?s university, will participate in the research and educational activities. This project will forge partnerships with industries and other stakeholders and prepare a well-trained workforce capable of meeting the needs of bioscience in North Dakota and beyond.
The North Dakota EPSCoR Research Infrastructure Improvement Track-1 project, ND-ACES, will use computational modeling to develop improved interdisciplinary understanding of biological and engineered materials biointerfaces; expand expertise in novel cellular growth and analysis paradigms for mimicking the in vivo environment of cancerous tumors; catalyze research/computing capabilities; support the translation of research into use through products, partnerships, and collaborations with various stakeholders; and inform North Dakota's citizens. ND-ACES builds research capacity to better understand design rules that govern in vitro biointerfaces and influence in vivo decisions surrounding the understanding of biochemistry and the cell biology of cancer cells and tumors. Computationally created design rules can enhance predictability of cellular responses to material surface characteristics and provide fundamental information to address many bioscience challenges. Thus, the integration of computational modeling as a prominent research tool allows for more extensive testing than possible with trial-and-error methods. ND-ACES efforts incorporate both faculty and students at all ten participating institutions in collaborative research, early career development, education enhancement, and outreach to increase the abilities of early career faculty, increase advanced scientific computing capabilities, and broaden the participation and number of STEM undergraduate and graduate students.
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.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Katti, Kalpana S. and Jasuja, Haneesh and Jaswandkar, Sharad V. and Mohanty, Sibanwita and Katti, Dinesh R.
"Nanoclays in medicine: a new frontier of an ancient medical practice"
Materials Advances
, v.3
, 2022
https://doi.org/10.1039/d2ma00528j
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Katti, Kalpana S. and Jasuja, Haneesh and Kar, Sumanta and Katti, Dinesh R.
"Nanostructured biomaterials for in vitro models of bone metastasis cancer"
Current Opinion in Biomedical Engineering
, v.17
, 2021
https://doi.org/10.1016/j.cobme.2020.100254
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Khan, Md Rakib and Armstrong, Zoe and Lenertz, Mary and Saenz, Briana and Kale, Narendra and Li, Qiaobin and MacRae, Austin and Yang, Zhongyu and Quadir, Mohiuddin
"MetalOrganic Framework Induced Stabilization of Proteins in Polymeric Nanoparticles"
ACS Applied Materials & Interfaces
, v.16
, 2024
https://doi.org/10.1021/acsami.3c16534
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Kiran, Ravi and Naik, Dayakar L.
"Novel sensitivity method for evaluating the first derivative of the feed-forward neural network outputs"
Journal of Big Data
, v.8
, 2021
https://doi.org/10.1186/s40537-021-00480-4
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Kundu, Krishna and Afshar, Ayda and Katti, Dinesh R. and Edirisinghe, Mohan and Katti, Kalpana S.
"Composite nanoclay-hydroxyapatite-polymer fiber scaffolds for bone tissue engineering manufactured using pressurized gyration"
Composites Science and Technology
, v.202
, 2021
https://doi.org/10.1016/j.compscitech.2020.108598
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Kundu, Krishna and Gaikwad, Hanmant K. and Jaswandkar, Sharad V. and Ravi, Preetham and Vyas, Parth and Hoffmann, Mark R. and Cakir, Deniz and Katti, Dinesh R. and Katti, Kalpana S.
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Materialia
, v.33
, 2024
https://doi.org/10.1016/j.mtla.2024.102024
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Kundu, Krishna and Jaswandkar, Sharad V. and Katti, Dinesh R. and Katti, Kalpana S.
"Initial upsurge of BMPs enhances long-term osteogenesis in in-vitro bone regeneration"
Materialia
, v.26
, 2022
https://doi.org/10.1016/j.mtla.2022.101576
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Le, Trung Bao and Usta, Mustafa and Aidun, Cyrus and Yoganathan, Ajit and Sotiropoulos, Fotis
"Computational Methods for Fluid-Structure Interaction Simulation of Heart Valves in Patient-Specific Left Heart Anatomies"
Fluids
, v.7
, 2022
https://doi.org/10.3390/fluids7030094
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Liu, Xiao and Han, Juan and Hou, Xiaodong and Altincicek, Furkan and Oncel, Nuri and Pierce, David and Wu, Xu and Zhao, Julia Xiaojun
"One-pot synthesis of graphene quantum dots using humic acid and its application for copper (II) ion detection"
Journal of Materials Science
, v.56
, 2021
https://doi.org/10.1007/s10853-020-05583-6
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Mamnoon, Babak and Feng, Li and Froberg, Jamie and Choi, Yongki and Sathish, Venkatachalem and Taratula, Oleh and Taratula, Olena and Mallik, Sanku
"Targeting Estrogen Receptor-Positive Breast Microtumors with Endoxifen-Conjugated, Hypoxia-Sensitive Polymersomes"
ACS Omega
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, 2021
https://doi.org/10.1021/acsomega.1c02250
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Mamnoon, Babak and Loganathan, Jagadish and Confeld, Matthew I. and De Fonseka, Nimesha and Feng, Li and Froberg, Jamie and Choi, Yongki and Tuvin, Daniel M. and Sathish, Venkatachalem and Mallik, Sanku
"Targeted Polymeric Nanoparticles for Drug Delivery to Hypoxic, Triple-Negative Breast Tumors"
ACS Applied Bio Materials
, 2020
https://doi.org/10.1021/acsabm.0c01336
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Munoz, Carlos and Ozdogan, Mehmet and Tourand, Yvonne and Casselli, Timothy and Brissette, Catherine A and Oncel, Nuri
"Effects of outer surface lipoproteins on the nanomechanical properties of Lyme borrelia"
Journal of Physics D: Applied Physics
, v.57
, 2023
https://doi.org/10.1088/1361-6463/ad1350
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Naik, Dayakar L. and kiran, Ravi
"A novel sensitivity-based method for feature selection"
Journal of Big Data
, v.8
, 2021
https://doi.org/10.1186/s40537-021-00515-w
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