ArticleProceedings of the National Academy of Sciences of the United States of America2024
Defining T cell receptor repertoires using nanovial-based binding and functional screening.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 28 citations in OpenAlex.
- Defining Functional T Cell Receptor Repertoires With Nanovial-Based Screening.Immunological reviews · 2026Review
- Article
- Cell assays in microcompartments driven by droplet microfluidics and hydrogel technologies.Journal of biochemistry · 2026Review
- PiP-Plex: A Particle-in-Particle System for Multiplexed Quantification of Proteins Secreted by Single Cells.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Precision acoustofluidics for high-throughput mechanobiology in suspension cells.Science advances · 2026Article
- Microsystem technologies for accelerating the discovery and translation of immunotherapies.Nature reviews. Drug discovery · 2026Review
- Enhancing large particle recovery in high-throughput functional cell sorting through ΔBOP optimization.Scientific reports · 2025Article
- Microfluidic technologies for enhancing the potency, predictability and affordability of adoptive cell therapies.Nature biomedical engineering · 2025Review
- Linking Epitope-Specific T-Cell Receptors to IFNγ Secretion Using Nanovial Technology.European journal of immunology · 2025Article
- High-Throughput Single-Cell Analysis of Local Nascent Protein Deposition in 3D Microenvironments via Extracellular Protein Identification Cytometry (EPIC).Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Probing TCR Specificity Using Artificial In Vivo Diversification of CDR3 Regions.European journal of immunology · 2025Article
- Targeting cancer with precision: strategical insights into TCR-engineered T cell therapies.Theranostics · 2025Review
- Optimizing cell therapy by sorting cells with high extracellular vesicle secretion.Nature communications · 2024Article
- Lab on a Particle Technologies.Analytical chemistry · 2024Review
- Advances in Single-Cell Techniques for Linking Phenotypes to Genotypes.Cancer heterogeneity and plasticity · 2024Article
- A Micropillar Array Based Microfluidic Device for Rare Cell Detection and Single-Cell Proteomics.Methods and protocols · 2023Article
- Optimizing Cell Therapy by Sorting Cells with High Extracellular Vesicle Secretion.bioRxiv : the preprint server for biology · 2023Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
The ability to selectively bind to antigenic peptides and secrete effector molecules can define rare and low-affinity populations of cells with therapeutic potential in emerging T cell receptor (TCR) immunotherapies. We leverage cavity-containing hydrogel microparticles, called nanovials, each coated with peptide-major histocompatibility complex (pMHC) monomers to isolate antigen-reactive T cells. T cells are captured and activated by pMHCs inducing the secretion of effector molecules including IFN-γ and granzyme B that are accumulated on nanovials, allowing sorting based on both binding and function. The TCRs of sorted cells on nanovials are sequenced, recovering paired αβ-chains using microfluidic emulsion-based single-cell sequencing. By labeling nanovials having different pMHCs with unique oligonucleotide-barcodes and secretions with oligo-barcoded detection antibodies, we could accurately link TCR sequences to specific targets and rank each TCR based on the corresponding cell's secretion level. Using the technique, we identified an expanded repertoire of functional TCRs targeting viral antigens with high specificity and found rare TCRs with activity against cancer-specific splicing-enhanced epitopes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.