Evidence map›Paper›PMID 40920931›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Reciprocity in dynamics of supramolecular biosystems for the clustering of ligands and receptors.

Shikha Dhiman, Marle E J Vleugels, Richard A J Post, Martina Crippa, Annalisa Cardellini, Esmee de Korver, Lu Su, Anja R A Palmans, Giovanni M Pavan, Remco W van der Hofstad and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. IL-17D reprograms CD93Cellular & molecular immunology · 2026
    Article
  2. Important design rules discovered for supramolecular multivalent ligands interacting with dynamic receptors.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Shikha Dhiman *Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands.
Marle E J Vleugels *Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands.
Richard A J PostInstitute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands.ORCID 0000-0001-6110-7467
Martina CrippaDepartment of Applied Science and Technology, Politecnico di Torino, Torino 10129, Italy.ORCID 0000-0002-6682-0015
Annalisa CardelliniDepartment of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Polo Universitario Lugano, Lugano-Viganello 6962, Switzerland.ORCID 0000-0002-6359-6118
Esmee de KorverInstitute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands.
Lu SuDivision of Biotherapeutics, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Anja R A PalmansDepartment of Chemistry, Johannes Gutenberg University Mainz, Mainz D-55128, Germany.
Giovanni M PavanDepartment of Applied Science and Technology, Politecnico di Torino, Torino 10129, Italy.ORCID 0000-0002-3473-8471
Remco W van der HofstadInstitute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands.
Lorenzo AlbertazziInstitute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands.
E W MeijerInstitute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands.ORCID 0000-0003-4126-7492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multivalent binding and the resulting dynamical clustering of receptors and ligands are known to be key features in biological interactions. For optimizing biomaterials capable of similar dynamical features, it is essential to understand the first step of these interactions, namely the multivalent molecular recognition between ligands and cell receptors. Here, we present the reciprocal cooperation between dynamic ligands in supramolecular polymers and dynamic receptors in model cell membranes, determining molecular recognition and multivalent binding via receptor clustering. The nonlinear dependences of the ligand concentration, receptors, and their binding affinity are observed experimentally by fluorescence and superresolution fluorescence microscopies, revealing a valency-dependent clustering mode of anchoring. The mechanism is supported by stochastic modeling demonstrating that such nonlinear dependence is unlikely in the absence of any dynamics and superselectivity. Using a coarse-grained molecular model, the subtle competition between local and global entropies that controls this anchoring mechanism explains the clustering. Further investigation using single particle tracking reveals the presence of two populations of bound and unbound receptors after the clustering process. The result of this study highlights the importance of reciprocity of dynamics in supramolecular polymer and lipid membrane for recruitment, multivalent binding, and clustering, all of which are crucial elements in the design of materials capable of actively interacting with biological targets.

Indexed as

Receptors, Cell SurfaceCell MembraneLigandsLipid BilayersProtein BindingLigandsLipid BilayersReceptors, Cell Surfacebiomaterialsclusteringdynamicsmultivalencysupramolecular polymer

Identifiers

PMID40920931
PMCPMC12452917

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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.