Evidence map›Paper›PMID 42584696›Full record

ArticleThe Journal of membrane biology2026

Integrating GlycoSHIELD Modeling and DNA-PAINT SMLM to Map the Glycosylation-Dependent Distribution of the Na,K-ATPase.

Bruno Stojcic, Piotr Draczkowski, Joan Patrick, Mezida Saeed, Hjalmar Brismar

Abstract read
In one paragraph

Article in The Journal of membrane biology, 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

5 authors.

Bruno StojcicScience for Life Laboratory, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, Sweden.
Piotr DraczkowskiScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden.
Joan PatrickScience for Life Laboratory, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, Sweden.
Mezida SaeedThe Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, UK.
Hjalmar BrismarScience for Life Laboratory, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, Sweden. brismar@kth.se.ORCID http://orcid.org/0000-0003-0578-4003

Funding

Vetenskapsrådet 2020-05347
6 · The paper itself

Abstract

The cell surface localization of the Na,K-ATPase (sodium pump) is required for maintaining transmembrane electrochemical gradients. While glycosylation of the β1 subunit facilitates trafficking from the endoplasmic reticulum to the plasma membrane, its role in nanoscale surface organization is not characterized. This study employed GlycoSHIELD computational modeling and DNA-PAINT single-molecule localization microscopy (SMLM) to evaluate how N-glycans influence pump distribution. In-silico simulations indicated that N-glycans sequester the protein core, providing a steric shield that increases with structural complexity. To investigate this experimentally, glycosylation-deficient mutants (3NQ) were generated and confirmed via immunoblotting. Quantitative SMLM analysis of A498 cells demonstrated that wild-type pumps exhibit higher localization density and form larger (144 nm) and more frequent clusters than 3NQ mutants (109 nm). These results indicate that N-glycosylation promotes stable enzyme clustering, supporting a galectin-lattice mechanism of organization rather than steric repulsion.

Indexed as

Single Molecule ImagingSodium-Potassium-Exchanging ATPaseCell MembraneGlycosylationHumansMutationPolysaccharidesPolysaccharidesSodium-Potassium-Exchanging ATPaseGlycosylationNa,K-ATPaseN-glycansSMLMSodium pump

Identifiers

PMID42584696
PMCPMC13468990

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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.