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| Funder | NATIONAL CANCER INSTITUTE |
|---|---|
| Recipient Organization | University of California Los Angeles |
| Country | United States |
| Start Date | Sep 09, 2021 |
| End Date | Aug 31, 2023 |
| Duration | 721 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | NIH (US) |
| Grant ID | 10272940 |
SUMMARY/ABSTRACT Engineered cell therapies have become a cornerstone of medicine, along with molecular (drugs and proteins) and genetic (gene therapy) interventions. However, new tools are needed to select, analyze, and design these ?living drugs?.
In the last few years, there has been particular success in the use of engineered immune cell- based therapies in treating hematologic malignancies, including recent FDA approvals of two chimeric antigen receptor (CAR)-T-cell products. Unfortunately, this success has not translated broadly, for example, to more prevalent solid tumors.
One of the challenges in optimizing these therapies is that, unlike molecular therapies in which structure and function are intimately linked, cellular therapies are more difficult to functionally design, as conventional classifications of cells based on surface marker expression or target antigen affinity are poorly correlated with anti-cancer functions, such as cytokine secretion and cell killing.
In fact, recent single-cell screens have highlighted an astonishingly high level of functional diversity from T-cells isolated from the same patient and bearing the same panel of surface markers, with only a small highly active subset of cells driving responses to immunological challenge.
Various single-cell functional profiling platforms have emerged over the past several years, but their widespread adoption has been limited due to low assay throughputs, high-costs, or the need for skilled operators and expensive customized instrumentation.
Broadly accessible technologies are needed to uncover the links between T-cell molecular and functional properties and anti-cancer activity, and ultimately, to enable the production and selection of the most efficacious cell therapies.
We propose the development of a novel ?lab on a particle? platform, which allows the rapid isolation of individual T-cells into uniformly sized nano-droplets, each formed by a microparticle with a structured cavity (termed a nanovial).
This approach will provide simultaneous measures of both cell surface and secreted proteins, and recover cells with desired phenotypes at high rates using standard fluorescence-activated cell sorting (FACS) machines. Importantly, no knowledge of microfluidics or other specialized techniques is required to use nanovials.
Our aims focus on: (1) developing nanovials with optimal adhesive properties for T-cell attachment and compatibility with a broad range of FACS instruments; and (2) sorting and characterizing individual antigen-specific T-cells based on interleukin-2 (IL-2) and interferon-? (IFN-?) production.
We will test the hypothesis that T-cells sorted based on production of IL-2 and IFN-?, as measured in nanovials, will have improved effector function.
Our new technology promises to remove a significant barrier to entry in functional immune cell selection, and drive next-generation cancer immunotherapeutic design.
University of California Los Angeles
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