Evidence map›Paper›PMID 40948891›Full record

ArticleBio-protocol2025

Quantitative Microscopy for Cell-Surface and Cell-Cell Interactions in Immunology.

Beatriz Díaz-Bello, Dalia El Arawi, Rémy Torro, Patrick Chames, Kheya Sengupta, Laurent Limozin

Abstract read
In one paragraph

Article in Bio-protocol, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Beatriz Díaz-BelloAix-Marseille University, CNRS, INSERM, LAI, Turing Center for Living Systems, Marseille, France.
Dalia El ArawiAix-Marseille University, CNRS, INSERM, LAI, Turing Center for Living Systems, Marseille, France.
Rémy TorroAix-Marseille University, CNRS, INSERM, LAI, Turing Center for Living Systems, Marseille, France.
Patrick ChamesAix-Marseille University, CNRS, INSERM, IPC, CRCM, Turing Center for Living Systems, Marseille, France.
Kheya SenguptaAix-Marseille University, CNRS, CINAM, Turing Center for Living Systems, Marseille, France.
Laurent LimozinAix-Marseille University, CNRS, INSERM, LAI, Turing Center for Living Systems, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-surface and cell-cell interaction assays are fundamental for studying receptor-ligand interactions and characterizing cellular responses and functions. They play a critical role in diagnostics and in modulating immune system activity for therapeutic applications, notably in cancer immunotherapy. By providing time-lapsed and cell-level direct observation of the sample, optical microscopy offers strong advantages compared to current go-to techniques, which are typically either ensemble methods (e.g., measuring cell populations) or indirect readouts (e.g., impedance for adherent cells). This protocol describes two complementary microscopy-based assays: (1) a cell-surface ligand binding assay to quantify dynamic interactions between human primary Natural Killer (NK) cells and a cancer-mimicking surface, and (2) a cell-cell interaction assay to evaluate antibody-dependent cell cytotoxicity (ADCC) mediated by NK cells targeting tumor cells. Additionally, the protocol uses Celldetective, a new open graphical user interface for quantitative analysis of cell interaction dynamics from 2D time-lapse microscopy datasets. Although applied here to primary immune cells, these methods are adaptable to various cell types, including other immune cells, fibroblasts, and cancer cells. This approach enables direct observation and quantification of cellular morphology, motility, cell-cell interactions, and dynamic behaviors at single-cell resolution over time, facilitating detailed analysis of mechanisms such as cell death, migration, and immune synapse formation. Key features • End-to-end protocol for antibody evaluation by optical microscopy on living cells using simple reagents, followed by full open-source software image analysis and data rendering • Quantitative analysis of cell-surface interactions using label-free imaging to study the dynamic spreading of NK cells on antibody-coated surfaces under different antibody concentrations. • High-resolution evaluation of antibody-dependent cell cytotoxicity in NK-cancer cells co-culture using fluorescence imaging, deep learning-based death detection, and synchronized single-cell measurements.

Indexed as

ADCCCell spreadingFluorescence microscopyImage analysis softwareImmunotherapyRICMSingle-cell dynamicsTime-lapse microscopy

Identifiers

PMID40948891
PMCPMC12423278

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.