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FlowSpot Enables Decentralized Phenotypic and Functional Cellular Immune Profiling from Dried Blood Spots
Biorxiv : the Preprint Server for Biology
|August 1, 2026
Summary
FlowSpot enables robust immune cell analysis from dried blood spots (DBS), overcoming limitations of fresh blood processing. This platform expands cellular immune analysis for decentralized clinical trials and research.
Area of Science:
- Immunology
- Biotechnology
- Clinical Diagnostics
Background:
- Current flow cytometry requires fresh blood, limiting decentralized immune analysis.
- Dried blood spots (DBS) offer potential for decentralized diagnostics but lack robust immune cell recovery methods.
- Existing methods cannot support flow cytometric analysis from DBS for immune cell phenotyping.
Purpose of the Study:
- To develop a novel platform for recovering intact leukocytes from DBS for flow cytometry.
- To preserve immunophenotypic characteristics of immune cells from DBS for downstream analysis.
- To enable remote and decentralized cellular immune analysis, including T cell immunophenotyping and functional profiling.
Main Methods:
- Developed FlowSpot platform for leukocyte recovery from DBS.
- Validated preservation of immune cell subset frequencies and immunophenotypic characteristics.
- Assessed clinical utility through remote CD4+ T cell enumeration in HIV patients.
- Evaluated intracellular cytokine production (IFNγ, IL-2, TNFα) post-stimulation.
Main Results:
- FlowSpot successfully recovers intact leukocytes from DBS.
- Immune cell subset frequencies show strong concordance with fresh whole blood.
- Remote CD4+ T cell counts in HIV patients align with routine clinical measurements.
- Detection of intracellular cytokine responses in CD4+ and CD8+ T cells is feasible.
Conclusions:
- FlowSpot overcomes barriers to leukocyte recovery from DBS, enabling flow cytometry.
- The platform supports ambient-temperature storage and shipment of samples.
- FlowSpot expands access to cellular immune analysis for decentralized clinical care, trials, and population research.
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