Evidence map›Paper›PMID 34429486›Full record

ArticleScientific reports2021

An automated real-time microfluidic platform to probe single NK cell heterogeneity and cytotoxicity on-chip.

Nikita Subedi, Laura C Van Eyndhoven, Ayla M Hokke, Lars Houben, Mark C Van Turnhout, Carlijn V C Bouten, Klaus Eyer, Jurjen Tel

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  8. Single Cell-Pair Proteomics for Decoding Immune-Cancer Cell Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Nikita SubediLaboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Laura C Van EyndhovenLaboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Ayla M HokkeLaboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Lars HoubenLaboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Mark C Van TurnhoutSoft Tissue Engineering and Mechanobiology (STEM), Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Carlijn V C BoutenInstitute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands.
Klaus EyerLaboratory for Functional Immune Repertoire Analysis, Institute of Pharmaceutical Sciences, D-CHAB, ETH Zürich, Zurich, Switzerland.
Jurjen TelLaboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. j.tel@tue.nl.
Eindhoven University of Technology · NLETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytotoxicity is a vital effector mechanism used by immune cells to combat pathogens and cancer cells. While conventional cytotoxicity assays rely on averaged end-point measures, crucial insights on the dynamics and heterogeneity of effector and target cell interactions cannot be extracted, emphasizing the need for dynamic single-cell analysis. Here, we present a fully automated droplet-based microfluidic platform that allowed the real-time monitoring of effector-target cell interactions and killing, allowing the screening of over 60,000 droplets identifying 2000 individual cellular interactions monitored over 10 h. During the course of incubation, we observed that the dynamics of cytotoxicity within the Natural Killer (NK) cell population varies significantly over the time. Around 20% of the total NK cells in droplets showed positive cytotoxicity against paired K562 cells, most of which was exhibited within first 4 h of cellular interaction. Using our single cell analysis platform, we demonstrated that the population of NK cells is composed of individual cells with different strength in their effector functions, a behavior masked in conventional studies. Moreover, the versatility of our platform will allow the dynamic and resolved study of interactions between immune cell types and the finding and characterization of functional sub-populations, opening novel ways towards both fundamental and translational research.

Indexed as

Cytotoxicity, ImmunologicLab-On-A-Chip DevicesAutomation, LaboratoryCells, CulturedHumansK562 CellsKiller Cells, NaturalMicrofluidicsSingle-Cell Analysis

Identifiers

PMID34429486
PMCPMC8385055
OpenAlexW3195832527

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.