Evidence map›Paper›PMID 41910407›Full record

ArticleACS applied materials & interfaces2026

Automated Generation of Supported Lipid Bilayer Arrays with Controlled Receptor Densities in Well Plates.

Jannis Schlicke, Jacopo Movilli, Dorothee Wasserberg, Raphael N Biendara, Samer Aphrham, Pascal Jonkheijm, Elif Uslu, Geert-Jan P H Boons, Robert Molenaar, Rick Elbert and 3 more

Abstract read
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In one paragraph

Article in ACS applied materials & interfaces, 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

13 authors.

Jannis SchlickeDepartment of Molecules and Materials, MESA+ Institute and TechMed Centre, Faculty of Science and Technology, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands.
Jacopo MovilliDepartment of Molecules and Materials, MESA+ Institute and TechMed Centre, Faculty of Science and Technology, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands.ORCID 0000-0001-6691-0654
Dorothee WasserbergDepartment of Molecules and Materials, MESA+ Institute and TechMed Centre, Faculty of Science and Technology, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands.ORCID 0000-0002-1493-2971
Raphael N BiendaraDepartment of Molecules and Materials, MESA+ Institute and TechMed Centre, Faculty of Science and Technology, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands.
Samer AphrhamDepartment of Molecules and Materials, MESA+ Institute and TechMed Centre, Faculty of Science and Technology, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands.
Pascal JonkheijmDepartment of Molecules and Materials, MESA+ Institute and TechMed Centre, Faculty of Science and Technology, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands.ORCID 0000-0001-6271-0049
Elif UsluDepartment of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CG Utrecht, The Netherlands.ORCID 0009-0009-3678-1893
Geert-Jan P H BoonsDepartment of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CG Utrecht, The Netherlands.ORCID 0000-0003-3111-5954
Robert MolenaarNanoBioPhysics Group, MESA+ Institute, University of Twente, 7500 AE Enschede, The Netherlands.
Rick ElbertRoyal GD, Arnsbergstraat 7, Deventer 7418 EZ, The Netherlands.
Sjaak de WitRoyal GD, Arnsbergstraat 7, Deventer 7418 EZ, The Netherlands.
Erhard van der VriesRoyal GD, Arnsbergstraat 7, Deventer 7418 EZ, The Netherlands.
Jurriaan HuskensDepartment of Molecules and Materials, MESA+ Institute and TechMed Centre, Faculty of Science and Technology, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands.ORCID 0000-0002-4596-9179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the superselective, multivalent interactions that drive immunity, infection, and biosensing requires (i) model surfaces with precisely tunable receptor density and (ii) quantitative readouts. Here, we introduce a fully automated well-plate-based platform using cell-mimicking supported lipid bilayers (SLBs) that enables both requirements with standardized, commercially available equipment. We outline the main challenges associated with integrating liquid handling with the shear and disruption-sensitive SLB system and offer practical guidelines to overcome them. The resulting versatile and scalable workflow yielded high-quality antifouling surfaces without laborious manual pipetting, while preserving the simplicity of pipet and well-plate-based liquid handling. It enables complex assays requiring more than 1000 aspiration and dispensing steps over >12 h while maintaining surface integrity. Control over the receptor density was achieved by variation of the molar fraction of a biotin-functionalized lipid inside the SLB, to which streptavidin and biotinylated receptors were bound using the strong biotin-streptavidin interaction. A quantitative readout of the receptor density employing fluorescently labeled streptavidin was statistically validated in the low pmol·cm

Indexed as

Lipid BilayersAutomationBiosensing TechniquesBiotinNucleic Acid HybridizationStreptavidinBiotinLipid BilayersStreptavidinbiosensingDNA hybridizationfluorescence quantificationglycan arraysmultivalent interactionsreceptor density controlsupported lipid bilayers

Identifiers

PMID41910407
PMCPMC13067233

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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.