Evidence map›Paper›PMID 41453895›Full record

ArticleNature communications2025

Subcellular glycan-mannose receptor binding kinetics correlate with myeloid cell function.

Kas Steuten, Johannes J A Bakker, Ward Doelman, Diana Torres-García, Amit Cherian, Christian Kurts, Roger Riera, Lorenzo Albertazzi, Sander I van Kasteren

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Kas SteutenDepartment of Chemical Biology and Immunology, Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands.ORCID http://orcid.org/0000-0001-7358-3532
Johannes J A BakkerDepartment of Chemical Biology and Immunology, Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands.
Ward DoelmanDepartment of Chemical Biology and Immunology, Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands.ORCID http://orcid.org/0000-0002-5138-9402
Diana Torres-GarcíaDepartment of Chemical Biology and Immunology, Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands.
Amit CherianDepartment of Chemical Biology and Immunology, Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands.
Christian KurtsInstitute of Molecular Medicine and Experimental Immunology, University Hospital of Bonn, Rheinische Friedrich Wilhelm University, Bonn, Germany.ORCID http://orcid.org/0000-0002-6620-2401
Roger RieraDepartment of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands.
Lorenzo AlbertazziDepartment of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands.ORCID http://orcid.org/0000-0002-6837-0812
Sander I van KasterenDepartment of Chemical Biology and Immunology, Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands. s.i.van.kasteren@chem.leidenuniv.nl.ORCID http://orcid.org/0000-0003-3733-818X

Funding

EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: 'Ideas' Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) 865175ZonMw (Netherlands Organisation for Health Research and Development) 0912001191000
6 · The paper itself

Abstract

Extracting single-molecule lectin binding kinetics from primary cells has not been possible to date. Here, we present Glyco-PAINT-APP (Automated Processing Pipeline), an automated method that enables the extraction of subcellular glycan interaction kinetics using a Points Accumulation for Imaging in Nano-Topography (PAINT)-based approach. This approach leverages an algorithm for precise, high-throughput, subcellular analysis of glycan binding dynamics and facilitates functional correlation studies between glycoform binding patterns and immune cell polarization. Using synthetic glycans and glycosylated antigens, we demonstrate the ability of the technique to automatically correlate glycan binding parameters in subregions of dendritic cell membranes with increased uptake and cross-presentation efficiency of these antigens. Additionally, we show how the method can uncover subtle differences in MR-mediated glycan binding across various MR-expressing primary cells and cell lines. Taken together, Glyco-PAINT-APP enables insights into the cell-intrinsic heterogeneity of glycan-structure-activity relationships in myeloid immune cells.

Indexed as

Lectins, C-TypeMannose-Binding LectinsMyeloid CellsPolysaccharidesReceptors, Cell SurfaceAnimalsCell MembraneDendritic CellsGlycosylationHumansKineticsMannose ReceptorMiceProtein BindingLectins, C-TypeMannose-Binding LectinsMannose ReceptorPolysaccharidesReceptors, Cell Surface

Identifiers

PMID41453895
PMCPMC12830989

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Registered trials

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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.