ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
Deciphering Cell-Cell Interactions with Integrative Single-Cell Secretion Profiling.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The trial behind it
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Generation of Leucine-Rich Repeat Kinase 2 (LRRK2) Knockout Neuroblastoma Cells SH-SY5Y by CRISPR/Cas9-Mediated Genome Editing.Biochemical genetics · 2026Article
- A high-throughput modular microfluidic platform for versatile functional assays at single-cell level.Microsystems & nanoengineering · 2026Article
- Multiplexed profiling of single-cell secretion on a hierarchical loading microwell chip.Biosensors & bioelectronics · 2025Article
- Deterministic Cell Pairing with Simultaneous Microfluidic Merging and Sorting of Droplets.bioRxiv : the preprint server for biology · 2025Article
- In situ and dynamic screening of extracellular vesicles as predictive biomarkers in immune-checkpoint inhibitor therapies.Journal of nanobiotechnology · 2025Article
- Linking Metastatic Behavior and Metabolic Heterogeneity of Circulating Tumor Cells at Single-Cell Level Using an Integrative Microfluidic System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Single Cell-Pair Proteomics for Decoding Immune-Cancer Cell Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Review
- Microfluidic Biochips for Single-Cell Isolation and Single-Cell Analysis of Multiomics and Exosomes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Bridging the organoid translational gap: integrating standardization and micropatterning for drug screening in clinical and pharmaceutical medicine.Life medicine · 2024Review
- Integrated Microfluidics for Single-Cell Separation and On-Chip Analysis: Novel Applications and Recent Advances.Small science · 2024Article
- Capturing of extracellular vesicles derived from single cells ofLab on a chip · 2024Article
- Deciphering Cell-Cell Interactions with Integrative Single-Cell Secretion Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
Cell-cell interactions are the fundamental behaviors to regulate cellular activities. A comprehensive evaluation of intercellular interactions requires direct profiling of various signaling behaviors simultaneously at the single-cell level, which remains lacking. Herein, an integrative single-cell secretion analysis platform is presented to profile different secreted factors (four proteins, three extracellular vesicles (EV) phenotypes), spatial distances, and migration information (distances and direction) simultaneously from high-throughput paired single cells using an antibody-barcode microchip. Applying the platform to analyze the tumor-stromal and tumor-immune interactions with the human oral squamous cell carcinoma (OSCC) cell lines and primary OSCC cells reveals that the initial distances between cells would determine their migratory distances and direction to approach stable organization. The cell-cell in close proximity enhances protein secretions while attenuating EV secretions. Migration has a more profound correlation with protein secretions than EV secretions, in which absolute migration distance affects protein secretions significantly but not the direction. These findings highlight the significance of spatial organization in regulating cell signaling behaviors and demonstrate that the integrative single-cell secretion profiling platform is well-suited for a comprehensive dissection of intercellular communication and interactions, providing new avenues for understanding cell-cell interaction biology and how different signaling behaviors coordinate within the tumor microenvironment.
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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.