ArticleBiomicrofluidics2016
Dynamic analysis of immune and cancer cell interactions at single cell level in microfluidic droplets.
Article in Biomicrofluidics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 75 citations in OpenAlex.
- Microfluidics for Blood Disorders and Hematological Disease Monitoring and Modeling.International journal of molecular sciences · 2026Review
- Selective access to individual cells after assembling for advanced cell-cell interaction studies.Journal of nanobiotechnology · 2026Article
- CellTrap: an instrument-free microfluidic platform for cell-cell interactions at stochastically generated effector-to-target ratios.RSC advances · 2026Article
- High-Throughput Single-Cell Analysis of Local Nascent Protein Deposition in 3D Microenvironments via Extracellular Protein Identification Cytometry (EPIC).Advanced materials (Deerfield Beach, Fla.) · 2025Article
- The potential of microfluidic cell analysis in CAR T cell therapy manufacturing.Frontiers in bioengineering and biotechnology · 2025Review
- An innovative single-cell approach for phenotyping and functional genotyping of CAR NK cells.Journal for immunotherapy of cancer · 2024Article
- Utilizing 3D Models to Unravel the Dynamics of Myeloma Plasma Cells' Escape from the Bone Marrow Microenvironment.Cancers · 2024Review
- Probing T-cell activation in nanoliter tumor co-cultures using membrane displacement trap arrays.Integrative biology : quantitative biosciences from nano to macro · 2024Article
- Cellular immunity analysis by a modular acoustofluidic platform: CIAMAP.Science advances · 2023Article
- Sctensor detects many-to-many cell-cell interactions from single cell RNA-sequencing data.BMC bioinformatics · 2023Article
- Cell pairing for biological analysis in microfluidic devices.Biomicrofluidics · 2022Review
- A Microfluidic Approach for Probing Heterogeneity in Cytotoxic T-Cells by Cell Pairing in Hydrogel Droplets.Micromachines · 2022Article
- Droplet Microfluidic Technology for the Early and Label-Free Isolation of Highly-Glycolytic, Activated T-Cells.Micromachines · 2022Article
- Droplet microfluidics for functional temporal analysis and cell recovery on demand using microvalves: application in immunotherapies for cancer.Lab on a chip · 2022Article
- Microfluidic T Cell Selection by Cellular Avidity.Advanced healthcare materials · 2022Article
- Engineered Microphysiological Systems for Testing Effectiveness of Cell-Based Cancer Immunotherapies.Cancers · 2022Review
- Uncovering Pharmacological Opportunities for Cancer Stem Cells-A Systems Biology View.Frontiers in cell and developmental biology · 2022Review
- Hydrogels for Single-Cell Microgel Production: Recent Advances and Applications.Frontiers in bioengineering and biotechnology · 2022Review
- Article
- Acoustofluidic Droplet Sorter Based on Single Phase Focused Transducers.Small (Weinheim an der Bergstrasse, Germany) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-cell communication mediates immune responses to physiological stimuli at local and systemic levels. Intercellular communication occurs via a direct contact between cells as well as by secretory contact-independent mechanisms. However, there are few existing methods that allow quantitative resolution of contact-dependent and independent cellular processes in a rapid, precisely controlled, and dynamic format. This study utilizes a high-throughput microfluidic droplet array platform to analyze cell-cell interaction and effector functions at single cell level. Controlled encapsulation of distinct heterotypic cell pairs was achieved in a single-step cell loading process. Dynamic analysis of dendritic cell (DC)-T cell interactions demonstrated marked heterogeneity in the type of contact and duration. Non-stimulated DCs and T cells interacted less frequently and more transiently while antigen and chemokine-loaded DCs and T cells depicted highly stable interactions in addition to transient and sequential contact. The effector function of CD8
Identifiers
What OpenQuestion holds
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.