ArticleeLife2020
A versatile system to record cell-cell interactions.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Fluorescent protein ticker tape (FPTT): Multiplexed recording of transcriptional dynamics in living cells and in vivo.Science advances · 2026Article
- CXCL-CXCR2 signaling drives cancer-endothelium interactions in SCLC metastatic seeding.bioRxiv : the preprint server for biology · 2026Article
- Applications of Nanopipettes in Scanning Ion Conductance Microscopy for High-Spatial-Resolution Topographic Imaging and Sensing in Single Cells.ACS measurement science au · 2026Review
- Keeping up with the neighbours: local synchronisation of cell fate decisions during development.EMBO reports · 2026Review
- A Nanomedicine Strategy: Spatiotemporally Programmed Delivery of Engineered Exosomes via Smart Scaffolds for Craniofacial Bone Regeneration.International journal of nanomedicine · 2026Review
- DeepPNCC: reconstructing pseudo-spatial cell-cell interaction landscapes from single-cell data to decipher breast cancer pathogenesis.Journal of translational medicine · 2025Article
- A Primer on Proteomic Characterization of Intercellular Communication in a Virus Microenvironment.Molecular & cellular proteomics : MCP · 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
- How the bone microenvironment shapes the pre-metastatic niche and metastasis.Nature cancer · 2024Review
- DNA-Directed Activation of Photocatalytic Labeling at Cell-Cell Contact Sites.ACS chemical biology · 2024Article
- PUFFFIN: an ultra-bright, customisable, single-plasmid system for labelling cell neighbourhoods.The EMBO journal · 2024Article
- Promotion and Detection of Cell-Cell Interactions through a Bioorthogonal Approach.Journal of the American Chemical Society · 2024Article
- Multiple dyes applications for fluorescent convertible polymer capsules as macrophages tracking labels.Heliyon · 2024Article
- Utilizing a Proximity Dependent Labeling Strategy to Study Cancer-Immune Intercellular Interactions In Vitro and In Vivo.The Journal of pharmacology and experimental therapeutics · 2024Article
- Enabling neighbour labelling: using synthetic biology to explore how cells influence their neighbours.Development (Cambridge, England) · 2024Review
- Synthetic living materials in cancer biology.Nature reviews bioengineering · 2023Article
- Quantum Biology and the Potential Role of Entanglement and Tunneling in Non-Targeted Effects of Ionizing Radiation: A Review and Proposed Model.International journal of molecular sciences · 2023Review
- The promising application of cell-cell interaction analysis in cancer from single-cell and spatial transcriptomics.Seminars in cancer biology · 2023Review
- Decoding the Complexity of Immune-Cancer Cell Interactions: Empowering the Future of Cancer Immunotherapy.Cancers · 2023Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Cell-cell interactions influence all aspects of development, homeostasis, and disease. In cancer, interactions between cancer cells and stromal cells play a major role in nearly every step of carcinogenesis. Thus, the ability to record cell-cell interactions would facilitate mechanistic delineation of the role of the cancer microenvironment. Here, we describe GFP-based Touching Nexus (G-baToN) which relies upon nanobody-directed fluorescent protein transfer to enable sensitive and specific labeling of cells after cell-cell interactions. G-baToN is a generalizable system that enables physical contact-based labeling between various human and mouse cell types, including endothelial cell-pericyte, neuron-astrocyte, and diverse cancer-stromal cell pairs. A suite of orthogonal baToN tools enables reciprocal cell-cell labeling, interaction-dependent cargo transfer, and the identification of higher order cell-cell interactions across a wide range of cell types. The ability to track physically interacting cells with these simple and sensitive systems will greatly accelerate our understanding of the outputs of cell-cell interactions in cancer as well as across many biological processes.
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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.