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Award Abstract # 1705464
Biomanufacturing next generation T cells

NSF Org: CBET
Division of Chemical, Bioengineering, Environmental, and Transport Systems
Recipient: UNIVERSITY OF HOUSTON SYSTEM
Initial Amendment Date: August 16, 2017
Latest Amendment Date: August 11, 2021
Award Number: 1705464
Award Instrument: Standard Grant
Program Manager: Steven Peretti
speretti@nsf.gov
 (703)292-4201
CBET
 Division of Chemical, Bioengineering, Environmental, and Transport Systems
ENG
 Directorate for Engineering
Start Date: September 1, 2017
End Date: August 31, 2022 (Estimated)
Total Intended Award Amount: $509,523.00
Total Awarded Amount to Date: $509,523.00
Funds Obligated to Date: FY 2017 = $509,523.00
History of Investigator:
  • Navin Varadarajan (Principal Investigator)
    nvaradarajan@uh.edu
  • Michael Rytting (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Houston
4300 MARTIN LUTHER KING BLVD
HOUSTON
TX  US  77204-3067
(713)743-5773
Sponsor Congressional District: 18
Primary Place of Performance: University of Houston
4726 Calhoun Rd
Houston
TX  US  77204-4004
Primary Place of Performance
Congressional District:
18
Unique Entity Identifier (UEI): QKWEF8XLMTT3
Parent UEI:
NSF Program(s): Cellular & Biochem Engineering
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1757
Program Element Code(s): 149100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

Acute myeloid leukemia (AML) is the most common acute leukemia affecting adults and is responsible for more than 10,000 deaths annually in the United States. Immunotherapy has revolutionized the treatment of cancers. T-cell based therapy involving the infusion of genetically modified cells has the potential to deliver long-lasting remissions, eventually leading to cures. Despite this promise, treatments remain unpredictable, so newer methods are required to assist the biomanufacturing of immune cells with defined properties. This research project aims to deliver on data-driven engineering methods to rapidly engineer the potency of T cells for the treatment of AML and to test these in mice. Additionally, students at all levels will be trained through the development and delivery of animation-based tutorials and interactive games that teach immunotherapy, cell metabolism, T-cell function, and cellular responses to cancer. The educational outreach is also advancing student engagement in immunotherapy through research experiences for K-12, undergraduate and graduate students.

Adoptive cell therapy (ACT) based on the transfer of chimeric antigen receptor (CAR) T cells has demonstrated significant anti-tumor effects in patients with refractory B-cell malignancies. The remarkable clinical success of CAR+ T cells has spurred the development of this approach for other leukemias and solid tumors. In spite of the clinical potential of ACT, its efficacy remains unpredictable, and newer approaches are required to define the key components of the efficacy of CAR+ T cells. The incomplete understanding of the role of metabolism in the anti-tumor efficacy of cells has severely limited the biomanufacturing T cells with predictable potency, and this is a fundamental limitation. The objective of this research project is to quantify the dynamic metabolic profile, the complete transcriptome, and the functional competency of CAR+ T cells targeting the sialoadhesin receptor 3 (CD33), at single-cell resolution, and to determine if directly altering T-cell metabolism provides new avenues to immunotherapeutic treatment or treatment enhancement. A suite of innovative high-throughput single-cell methodologies that have been developed and implemented, including real-time metabolic profiling, Timelapse Imaging Microscopy in Nanowell Grids (TIMING), and single-cell RNA-seq, are being utilized. The ability of these engineered CAR+ T-cell populations to control the growth of human tumors is being tested in immunodeficient mice. This work will establish the heterogeneity and correlation between fundamental T-cell processes like metabolism, function, and phenotype, and thus will have a broad impact on T-cell immunology.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 19)
An, Xingyue and Varadarajan, Navin "Single-cell technologies for profiling T cells to enable monitoring of immunotherapies" Current Opinion in Chemical Engineering , v.19 , 2018 10.1016/j.coche.2018.01.003 Citation Details
Bandey, Irfan N and Adolacion, Jay R and Romain, Gabrielle and Paniagua, Melisa Martinez and An, Xingyue and Saeedi, Arash and Liadi, Ivan and You, Zheng and Rajanayake, Rasindu B and Hwu, Patrick and Singh, Harjeet and Cooper, Laurence JN and Varadarajan "Designed improvement to T-cell immunotherapy by multidimensional single cell profiling" Journal for ImmunoTherapy of Cancer , v.9 , 2021 https://doi.org/10.1136/jitc-2020-001877 Citation Details
Doshi, Aarti and Bandey, Irfan and Nevozhay, Dmitry and Varadarajan, Navin and Cirino, Patrick C. "Design and characterization of a salicylic acid-inducible gene expression system for Jurkat cells" Journal of Biotechnology , v.346 , 2022 https://doi.org/10.1016/j.jbiotec.2022.01.003 Citation Details
Doshi, Aarti and Sadeghi, Fatemeh and Varadarajan, Navin and Cirino, Patrick C. "Small-molecule inducible transcriptional control in mammalian cells" Critical Reviews in Biotechnology , 2020 https://doi.org/10.1080/07388551.2020.1808583 Citation Details
Fathi, Mohsen and Charley, Lindsey and Cooper, Laurence JN and Varadarajan, Navin and Meyer, Daniel D "Cytotoxic T lymphocytes targeting a conserved SARS-CoV-2 spike epitope are efficient serial killers" BioTechniques , v.72 , 2022 https://doi.org/10.2144/btn-2022-0016 Citation Details
Fousek, Kristen and Watanabe, Junji and Joseph, Sujith K. and George, Ann and An, Xingyue and Byrd, Tiara T. and Morris, Jessica S. and Luong, Annie and Martínez-Paniagua, Melisa A. and Sanber, Khaled and Navai, Shoba A. and Gad, Ahmed Z. and Salsman, Vit "CAR T-cells that target acute B-lineage leukemia irrespective of CD19 expression" Leukemia , 2020 10.1038/s41375-020-0792-2 Citation Details
Hou, Jiakai and Wang, Yunfei and Shi, Leilei and Chen, Yuan and Xu, Chunyu and Saeedi, Arash and Pan, Ke and Bohat, Ritu and Egan, Nicholas A. and McKenzie, Jodi A. and Mbofung, Rina M. and Williams, Leila J. and Yang, Zhenhuang and Sun, Ming and Liang, X "Integrating genome-wide CRISPR immune screen with multi-omic clinical data reveals distinct classes of tumor intrinsic immune regulators" Journal for ImmunoTherapy of Cancer , v.9 , 2021 https://doi.org/10.1136/jitc-2020-001819 Citation Details
Joseph, Robiya and Soundararajan, Rama and Vasaikar, Suhas and Yang, Fei and Allton, Kendra L. and Tian, Lin and den Hollander, Petra and Isgandarova, Sevinj and Haemmerle, Monika and Mino, Barbara and Zhou, Tieling and Shin, Crystal and Martinez-Paniagua "CD8+ T cells inhibit metastasis and CXCL4 regulates its function" British Journal of Cancer , v.125 , 2021 https://doi.org/10.1038/s41416-021-01338-5 Citation Details
Lu, Hengyang and Li, Jiabing and Martinez-Paniagua, Melisa A and Bandey, Irfan N and Amritkar, Amit and Singh, Harjeet and Mayerich, David and Varadarajan, Navin and Roysam, Badrinath and Murphy, Robert F "TIMING 2.0: high-throughput single-cell profiling of dynamic cell?cell interactions by time-lapse imaging microscopy in nanowell grids" Bioinformatics , v.35 , 2018 10.1093/bioinformatics/bty676 Citation Details
Mahendra, Ankit and Yang, Xingyu and Abnouf, Shaza and Adolacion, Jay R. T. and Park, Daechan and Soomro, Sanam and Roszik, Jason and Coarfa, Cristian and Romain, Gabrielle and Wanzeck, Keith and Bridges, Jr., S. Louis and Aggarwal, Amita and Qiu, Peng an "Beyond Autoantibodies: Biologic Roles of Human Autoreactive B Cells in Rheumatoid Arthritis Revealed by RNASequencing" Arthritis & Rheumatology , v.71 , 2019 https://doi.org/10.1002/art.40772 Citation Details
Mobiny, Aryan and Lu, Hengyang and Nguyen, Hien V. and Roysam, Badrinath and Varadarajan, Navin "Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network" IEEE Transactions on Medical Imaging , 2019 https://doi.org/10.1109/TMI.2019.2918181 Citation Details
(Showing: 1 - 10 of 19)

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 goal of this proposal was to engineer programmed T cells with persistent anti-tumor efficacy. Adoptive cell therapy (ACT) based on the transfer of chimeric antigen receptor (CAR) T cells has demonstrated significant anti-tumor effects in patients with refractory B-cell malignancies. The remarkable clinical success of CAR+ T cells has spurred the development of this approach for other leukemias and solid tumors. In spite of the clinical potential of ACT, its efficacy remains unpredictable, and newer approaches are required to define the key components of the efficacy of CAR+ T cells. Abnormal vascularization of tumors leads to regional microenvironments that demonstrate nutrient starvation. Similar to the cancer cells, the proliferation and effector functionality of T cells are all energetically demanding processes that rely on robust cellular metabolism, and the availability of nutrients is essential to the anti-tumor efficacy of T cells. The incomplete understanding of the role of metabolism in the anti-tumor efficacy of cells has severely limited the biomanufacturing T cells with predictable potency, and this is a fundamental limitation since: (a) it leads to unreliable patient outcomes in the clinic, and (b) does not provide for reliable and scalable biomanufacturing due to the lack of manufacturing specifications.  There is, however, no methodology that can map the metabolism of the T cells with their function and persistence capacity at single-cell resolution, and not surprisingly, the link between metabolism and function in determining the potency of cell populations is not known. We developed a suite of innovative high-throughput single-cell methodologies including real-time metabolic profiling, Timelapse Imaging Microscopy in Nanowell Grids (TIMING), and single-cell RNA-seq. As part of this grant, we have identified: (1) biomarkers of CAR T cells that are associated with clinical responses, (2) that T-cell migration is a selectable biomarker that can identify the fittest T cells.

Intellectual merit. This proposal established TIMING as a transformative methodology for quantifying the functionality of human T-cells and served as an integrated technology that combines single-cell functional profiling (cytotoxicity and cytokine secretion) with dynamic metabolic profiling and systems-level molecular profiling. From a biomanufacturing perspective, the molecular/functional/metabolic properties that need to be engineered/elicited to ensure clinical benefit, i.e. defining the potency of T cells, was accomplished. We have shown that migratory T cells are associated with optimal anti-tumor efficacy in vivo and can be used as a biomarker of manufactured T cells.

Broader Impact. This project performed a global and integrated profiling of the anti-tumor efficacy of T cells. The engineering of more potent T cells can have a broad impact on immunotherapy and can set the stage for the clinical translation of the results. TIMING is a single-cell high-throughput technology that broadly allows the quantification of functional immune cell responses in the context of vaccines, viral and bacterial infections, and can be used for correlative studies. From a scientific standpoint, our work established the heterogeneity and correlation between fundamental T-cell processes like metabolism, function, and phenotype and thus will have a broad impact on T-cell immunology. The educational outreach included student engagement in immunotherapy through research experiences for K-12, undergraduate and graduate students, and through interactive media.

 

 


Last Modified: 02/13/2023
Modified by: Navin Varadarajan

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