High-throughput, multiplexed quantification, and sorting of single EVs at single-molecule level
Park, J.; Feng, M.; Yang, J.; Shen, H.; Qin, Z.; Guo, W.; Issadore, D.
Show abstract
We have developed a platform for the high-throughput, multiplexed, and ultra-sensitive profiling of individual extracellular vesicles (EVs) directly in plasma, which we call BDEVS - Agarose Bead-based Digital Single Molecule-Single EV Sorting. Unlike conventional approaches, BDEVS achieves single molecule sensitivity and moderate multiplexing (demonstrated 3-plex) without sacrificing the throughput (processing ten thousand of EVs per minute) necessary to resolve EVs directly in human plasma. Our platform integrates rolling circle amplification (RCA) of EV surface proteins, which are cleaved from single EVs, and amplified within agarose droplets, followed by flow cytometry-based readout and sorting, overcoming steric hindrance, non-specific binding, and the lack of quantitation of multiple proteins on EVs that have plagued earlier approaches. We evaluated the analytical capabilities of BDEVS through head-to-head comparison with gold-standard technologies, and demonstrated a [~]100x improvement in the limit of detection of EV subpopulations. We demonstrate the high throughput ([~]100k beads / minute) profiling of individual EVs for key immune markers PD-L1, CD155, and the melanoma tumor marker TYRP-1, and showed that BDEVS can precisely quantify and sort EVs, offering unprecedented resolution for analyzing tumor-immune interactions and detecting rare EV subpopulations in complex clinical specimens. We demonstrate BDEVSs potential as a transformative tool for EV-based diagnostics and therapeutic monitoring in the context of cancer immunology by analyzing plasma samples from patients with melanoma, where EV heterogeneity plays a critical role in disease progression and response to therapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/621423v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@1a8a542org.highwire.dtl.DTLVardef@f9b9f0org.highwire.dtl.DTLVardef@11e4758org.highwire.dtl.DTLVardef@de1645_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Engineering a Single Extracellular Vesicle Protein and RNA Assay (siEVPRA) via In Situ Fluorescence Microscopy in a UV Micropatterned Array 96%
- An Immunogold Single Extracellular Vesicular RNA and Protein (AuSERP) Biochip to Predict Responses to Immunotherapy in Non-Small Cell Lung Cancer Patients 96%
- Interferometric nanoparticle tracking analysis enables label-free discrimination of extracellular vesicles from large lipoproteins 95%
Similar papers in this journal
- MATE-Seq: Microfluidic Antigen-TCR Engagement Sequencing 96%
- A programmable and automated optical electrowetting-on-dielectric (oEWOD) driven platform for massively parallel and sequential processing of single cell assay operations 95%
- Separations-Encoded Microparticles For Single-Cell Western Blotting 94%
Similar papers in this journal
- Advanced Extracellular Vesicle Isolation: A Hybrid Electrokinetic-Tangential Flow Filtration Approach for Improved Yield, Purity, and Scalability 94%
- High-Efficiency Capture and Proteomic Analysis of Plasma-Derived Extracellular Vesicles through Affinity Purification 93%
- Sequencing ultra-rare targets with compound nucleic acid cytometry 93%
Similar papers in this journal
- Rapid Assessment of Biomarkers on Single Extracellular Vesicles Using 'Catch and Display' on Ultrathin Nanoporous Silicon Nitride Membranes 98%
- Multiparametric Profiling of Single Nanoscale Extracellular Vesicles by Combined Atomic Force and Fluorescence Microscopy: Correlation and Heterogeneity in Their Molecular and Biophysical Features 94%
- SCO-pH: Microfluidic dynamic phenotyping platform for high-throughput screening of single cell acidification 94%
Similar papers in this journal
- Digital Profiling of Tumor Extracellular Vesicle-associated RNAs Directly from Unprocessed Blood Plasma 98%
- Massively parallel encapsulation of single cells with structured microparticles and secretion-based flow sorting 95%
- Automated and parallelized microfluidic generation of large and precisely-defined lipid nanoparticle libraries 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.