ArticleNature biomedical engineering2023
High-throughput spatiotemporal monitoring of single-cell secretions via plasmonic microwell arrays.
Article in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 73 citations in OpenAlex.
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- Decoding Cellular Heterogeneity with Microfluidic Single-Cell Secretion Analysis Tools.ACS omega · 2026Review
- Engineering Organ-on-a-Chip Systems for Cancer Immunotherapy: Strategies and Assay Integration.Bioengineering (Basel, Switzerland) · 2026Review
- CellTrap: an instrument-free microfluidic platform for cell-cell interactions at stochastically generated effector-to-target ratios.RSC advances · 2026Article
- Direct Observation of Nanometer-Sized Steps of Single Myosin VI Molecules in Living Cells.Nano letters · 2026Article
- Evanescent Wave-Based Photonic Biosensors for the Design and Evaluation of Advanced Cancer Immunotherapies.Analytical chemistry · 2026Review
- Three-tier framework for high-throughput biofabrication: Integrating 3D bioprinting, assistive platforms, and translational opportunities.Bioactive materials · 2026Review
- Analyzing the Relationship between Solid-Phase Molecular Presentation and Cell Proliferation, Morphology and Secretion Using CellStudio.ACS applied materials & interfaces · 2026Article
- Single-cell metabolic accumulation analysis by microfluidic hydrogel microspheres combined with mass spectrometry.Chemical science · 2026Article
- Article
- Real-time and label-free monitoring of monoclonal antibody secretion rates using a PC-TIR biosensor.Biosensors & bioelectronics · 2025Article
- Evaluation of single-cell heterogeneity and invasive potential in cancer cells via secreted protease activity assay.Analytica chimica acta · 2025Article
- Integrative Biosensing Nanoplasmonic Array for Real-Time Spatiotemporal Imaging of Protein Secretion in Cell-to-Cell Communication.Small science · 2025Article
- Nanomaterial-Enhanced Biosensing: Mechanisms and Emerging Applications.Advanced healthcare materials · 2025Review
- Advancements and Applications of Lateral Flow Assays (LFAs): A Comprehensive Review.Sensors (Basel, Switzerland) · 2025Review
- Cancer-on-a-chip for precision cancer medicine.Lab on a chip · 2025Review
- Ultrasensitive imaging-based sensor unlocked by differential guided-mode resonance.Nature communications · 2025Article
- Temporal and spatial omics technologies for 4D profiling.Nature methods · 2025Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Methods for the analysis of cell secretions at the single-cell level only provide semiquantitative endpoint readouts. Here we describe a microwell array for the real-time spatiotemporal monitoring of extracellular secretions from hundreds of single cells in parallel. The microwell array incorporates a gold substrate with arrays of nanometric holes functionalized with receptors for a specific analyte, and is illuminated with light spectrally overlapping with the device's spectrum of extraordinary optical transmission. Spectral shifts in surface plasmon resonance resulting from analyte-receptor bindings around a secreting cell are recorded by a camera as variations in the intensity of the transmitted light while machine-learning-assisted cell tracking eliminates the influence of cell movements. We used the microwell array to characterize the antibody-secretion profiles of hybridoma cells and of a rare subset of antibody-secreting cells sorted from human donor peripheral blood mononuclear cells. High-throughput measurements of spatiotemporal secretory profiles at the single-cell level will aid the study of the physiological mechanisms governing protein secretion.
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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.