ReviewImmunology and cell biology2025
Platforms for studying cell-cell recognition by immune cells.
Review in Immunology and cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Improvement in model flexibility reveals signaling pathway in T cell responses to pulsatile stimuli.NPJ systems biology and applications · 2026Article
- Quantitative Microscopy for Cell-Surface and Cell-Cell Interactions in Immunology.Bio-protocol · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Immune cells interact directly with other cells and make decisions by integrating information from many different receptor-ligand interactions at these cell-cell interfaces. Since they encounter a huge variety of normal and abnormal cells, they experience many different combinations and concentrations of ligands. Understanding immune responses therefore requires platforms that enable ligands to be easily manipulated. We review and compare the available platforms, focusing on T-cell recognition. Although genetically modified antigen-presenting cells (APCs) offer the most physiological system, manipulating their ligands is difficult and slow. In contrast, solid surfaces or supported lipid bilayers allow easy manipulation of ligands but lack the biophysical properties of cells, such as softness, a glycocalyx, and/or ligand mobility. A recently developed CombiCell system enables easy manipulation of ligands while conserving key biophysical properties. By comparing the advantages and limitations of each platform, we provide a framework to choose the most suitable system to study signal integration in both basic and translational contexts.
Indexed as
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.