Evidence map›Paper›PMID 40890943›Full record

ArticleFEBS open bio2026

Diffusion-based size determination of solute particles: a method adapted for postsynaptic proteins.

András László Szabó, Eszter Nagy-Kanta, Soma Varga, Edit Andrea Jáger, Csaba István Pongor, Mária Laki, András József Laki, Zoltán Gáspári

Abstract read
In one paragraph

Article in FEBS open bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

András László SzabóFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.ORCID https://orcid.org/0000-0001-7594-3087
Eszter Nagy-KantaFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Soma VargaFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Edit Andrea JágerDepartment of Public Health Sciences, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary.ORCID https://orcid.org/0000-0003-2601-8391
Csaba István PongorFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Mária LakiFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
András József LakiFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Zoltán GáspáriFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.ORCID https://orcid.org/0000-0002-8692-740X

Funding

National Research, Development and Innovation Office OTKA 137947National Research, Development and Innovation Office TKP2021-EGA-42
6 · The paper itself

Abstract

The postsynaptic density (PSD) is a complex, multilayered protein network largely situated on the internal surface of the postsynaptic membrane. It is the first processing unit for incoming synaptic signals, and changes in its internal structure are associated with synaptic strength and plasticity. These structural changes are largely governed by multivalent interactions between its components. The in vitro characterization of such complexes requires unbiased methods that can be used to estimate the size of the emerging assemblies for systems with multiple possible stoichiometries. Here, we present an experimental method for detecting specific PSD proteins as well as their complexes based on their diffusion in a microfluidic environment. The method requires a fluorescent labeling technique that does not disrupt the function of labeled proteins, a microfluidic device that can maintain laminar flow for protein solutions, a microscope that can record the fluorescent signal emitted by these solutions, and an analytic software package that can process the collected experimental data and convert them into approximate particle sizes. We demonstrate the applicability of our method on protein constructs of various postsynaptic proteins, including the multivalent assembly between GKAP and LC8.

Indexed as

Nerve Tissue ProteinsPost-Synaptic DensityAnimalsDiffusionParticle SizeNerve Tissue Proteinspostsynaptic density proteinsbioinformaticsfluorescent microscopymicrofluidicspostsynaptic density

Identifiers

PMID40890943
PMCPMC12767767

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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.