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

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-12-26
DOI
https://doi.org/10.1038/s41467-025-67602-x
Primary Topic
Immunotherapy and Immune Responses
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ward Doelman, Amit Cherian, Roger Riera, Kas Steuten et al.
Nature Communications
Immunotherapy and Immune Responses
article

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

Ward Doelman, Amit Cherian, Roger Riera, Kas Steuten, Jaap Bakker, Lorenzo Albertazzi, Diana Torres-García, Christian Kurts, Sander I. van Kasteren
article en

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.

Nature CommunicationsVol. 17(1)
Leiden University (NL), University of Bonn (DE), University of Applied Sciences Leiden (NL), University Hospital Bonn (DE), Eindhoven University of Technology (NL)
Universiteit Leiden, ZonMw, Leids Universitair Medisch Centrum
Openalex Percentile: Top 36%
Immunotherapy and Immune Responses
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Subcellular glycan-mannose receptor binding kinetics correlate with myeloid cell function — Ward Doelman, Amit Cherian, et al. · Nature Communications (2025) | TGRS Research Map | TGRS