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Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform

Author

Listed:
  • Alexia Stollmann

    (ETH Zurich)

  • Jose Garcia-Guirado

    (ETH Zurich)

  • Jae-Sang Hong

    (Massachusetts General Hospital)

  • Pascal Rüedi

    (ETH Zurich)

  • Hyungsoon Im

    (Massachusetts General Hospital
    Massachusetts General Hospital, Harvard Medical School)

  • Hakho Lee

    (Massachusetts General Hospital
    Massachusetts General Hospital, Harvard Medical School)

  • Jaime Ortega Arroyo

    (ETH Zurich)

  • Romain Quidant

    (ETH Zurich)

Abstract

Label-free detection of multiple analytes in a high-throughput fashion has been one of the long-sought goals in biosensing applications. Yet, for all-optical approaches, interfacing state-of-the-art label-free techniques with microfluidics tools that can process small volumes of sample with high throughput, and with surface chemistry that grants analyte specificity, poses a critical challenge to date. Here, we introduce an optofluidic platform that brings together state-of-the-art digital holography with PDMS microfluidics by using supported lipid bilayers as a surface chemistry building block to integrate both technologies. Specifically, this platform fingerprints heterogeneous biological nanoparticle populations via a multiplexed label-free immunoaffinity assay with single particle sensitivity. First, we characterise the robustness and performance of the platform, and then apply it to profile four distinct ovarian cell-derived extracellular vesicle populations over a panel of surface protein biomarkers, thus developing a unique biomarker fingerprint for each cell line. We foresee that our approach will find many applications where routine and multiplexed characterisation of biological nanoparticles are required.

Suggested Citation

  • Alexia Stollmann & Jose Garcia-Guirado & Jae-Sang Hong & Pascal Rüedi & Hyungsoon Im & Hakho Lee & Jaime Ortega Arroyo & Romain Quidant, 2024. "Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48132-4
    DOI: 10.1038/s41467-024-48132-4
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    References listed on IDEAS

    as
    1. Stefano Vanni & Hisaaki Hirose & Hélène Barelli & Bruno Antonny & Romain Gautier, 2014. "A sub-nanometre view of how membrane curvature and composition modulate lipid packing and protein recruitment," Nature Communications, Nature, vol. 5(1), pages 1-10, December.
    2. Marek Piliarik & Vahid Sandoghdar, 2014. "Direct optical sensing of single unlabelled proteins and super-resolution imaging of their binding sites," Nature Communications, Nature, vol. 5(1), pages 1-8, December.
    3. Joshua D. Spitzberg & Scott Ferguson & Katherine S. Yang & Hannah M. Peterson & Jonathan C. T. Carlson & Ralph Weissleder, 2023. "Multiplexed analysis of EV reveals specific biomarker composition with diagnostic impact," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
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