SBIR/STTR Research Award

Time-lapse Flow Cytometry for Kinetic Profiling of T-Cell Function

Award identifier 8804ea934df292e538b6e339fb05ec8859bb4022a548c6f8461ac5eb79ba641aAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,839,466

Program and phase

SBIR · Phase II

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
LASE INNOVATION INC
Proposal award date
2023-09-05
Contract end date
2025-08-31
UEI
LQDAZMN14NM7
Solicitation number
PA22-176
Topic code
102

Research abstract

Abstract Despite progress in immunotherapies, there are significant challenges to overcome to make them more broadly applicable to different cancers and more effective for patients. However, current efforts to improve adoptive cell therapies and immune checkpoint blockade as well as cancer vaccines are hampered by the lack of a method to characterize the functional and phenotypical changes of different subpopulations of T cells over time at high throughput. The goal of this SBIR Phase II project is to develop a novel flow-cytometry method that can solve this technological bottleneck. The time-lapse flow cytometry uses laser particle (LP) barcodes to track each cell across flow measurements taken at different time points. Built on demonstrated proof-of-concept data, this project is focused on establishing a set of novel assays for characterizing T cells in response to different stimuli in a time-resolved manner. The first specific aim is to demonstrate short-term time-lapse assays to profile cytokine secretion (t-SEC). Secretion of TNF, IFNγ and IL10 from millions of the same cells in response to different types of stimulation are measured at multiple timepoints over 24 hours. The second specific aim is to demonstrate long-term time-lapse assay to monitor phenotype (t-PHENO), including T-cell exhaustion over 10 days. The third specific aim is to validate the t-SEC and t-PHENO assays with patient samples. The time- resolved, high-throughput, high-parameter assays are expected to accelerate the development of more effective and durable immunotherapies for cancer (>$100 B global market). Beyond immunotherapy, time-lapse flow cytometry is also expected to be useful in fundamental immunological research and vaccine development.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

6 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $5,194,935. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.