ArticleScience advances2022
Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Opportunities and challenges of proximity labeling for microbe-host cell interactions in tumor microenvironment.Frontiers in cellular and infection microbiology · 2025Pooled it
- Review
- α2,6-Sialoglycan-regulated antitumor immunity of tumor-infiltrating CD8Nature chemical biology · 2026Article
- Temporal photoproximity labeling of ligand-activated EGFR neighborhoods using MultiMap.Nature chemical biology · 2026Article
- Proximity labeling in neuroscience: decoding molecular landscapes for precision neurology.Translational neurodegeneration · 2026Review
- Imaging the fate of CAR-T cellsFrontiers in immunology · 2026Review
- Molecular tools for decoding multicellular systems: from mechanisms to medicine.National science review · 2025Review
- Finding and filling the knowledge gaps in mechanisms of T cell-mediated TB immunity to inform vaccine design.Nature reviews. Immunology · 2025Review
- Crosstalk between the microbiota and intestinal dendritic cells in IBD.Seminars in immunopathology · 2025Review
- Biochemical Applications of Microbial Rare Glycan Biosynthesis, Recognition, and Sequencing.Biochemistry · 2025Review
- Bridging molecular and cellular neuroscience with proximity labeling technologies.Experimental & molecular medicine · 2025Review
- Engineered Proteins and Chemical Tools to Probe the Cell Surface Proteome.Chemical reviews · 2025Review
- Droplet-based functional CRISPR screening of cell-cell interactions by SPEAC-seq.Nature protocols · 2025Review
- Painting Cell-Cell Interactions by Horseradish Peroxidase and Endogenously Generated Hydrogen Peroxide.ACS chemical biology · 2025Article
- Review
- Single-cell sequencing to multi-omics: technologies and applications.Biomarker research · 2024Review
- Glycoengineering in antigen-specific immunotherapies.Current opinion in chemical biology · 2024Review
- Promotion and Detection of Cell-Cell Interactions through a Bioorthogonal Approach.Journal of the American Chemical Society · 2024Article
- The diversification of methods for studying cell-cell interactions and communication.Nature reviews. Genetics · 2024Review
- GlycoID Proximity Labeling to Identify O-GlcNAcylated Protein Interactomes in Live Cells.Current protocols · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
FucoID is an intercellular proximity labeling technique for studying cell-cell interactions (CCIs) via fucosyltransferase (FT)-meditated fucosyl-biotinylation, which has been applied to probe antigen-specific dendritic cell (DC)-T cell interactions. In this system, bait cells of interest with cell surface-anchored FT are used to capture the interacting prey cells by transferring a biotin-modified substrate to prey cells. Here, we leveraged FucoID to study CCIs directed by different molecular pairs, e.g., programmed cell death protein-1(PD-1)/programmed cell death protein-ligand-1 (PD-L1), and identify unknown or little studied CCIs, e.g., the interaction of DCs and B cells. To expand the application of FucoID to complex systems, we also synthesized site-specific antibody-based FT conjugate, which substantially improves the ability of FucoID to probe molecular signatures of specific CCI when cells of interest (bait cells) cannot be purified, e.g., in clinical samples. Collectively, these studies demonstrate the general applicability of FucoID to study unknown CCIs in complex systems at a molecular resolution.
Identifiers
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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.