Evidence map›Paper›PMID 42605692›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Elastomeric 3D-Printed Microenvironments Enable Nanonewton Force Measurements in Healthy and Diseased Human Pluripotent Stem Cell-Derived Neuroepithelial Cells.

Pieter F J van Altena, Lucia Castillo Ransanz, Ruben H Guis, Giulia Bergamaschi, Nanne J Paauw, Urs Staufer, Vivi M Heine, Angelo Accardo

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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.

Pieter F J van AltenaDepartment of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, The Netherlands.
Lucia Castillo RansanzDepartment of Child and Adolescence Psychiatry, Emma Center for Personalized Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Ruben H GuisDepartment of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, The Netherlands.
Giulia BergamaschiMicroscopy and Cytometry Core Facility, Department of Molecular Cell Biology and Immunology, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Nanne J PaauwMicroscopy and Cytometry Core Facility, Department of Molecular Cell Biology and Immunology, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Urs StauferDepartment of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, The Netherlands.
Vivi M HeineDepartment of Child and Adolescence Psychiatry, Emma Center for Personalized Medicine, Amsterdam UMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4416-3875
Angelo AccardoDepartment of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0003-0442-3652

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek OCENW.M20.047
6 · The paper itself

Abstract

During neural development, cells generate and respond to mechanical forces within their microenvironment while they migrate and differentiate. These forces are central to the development of the human brain, as they are transduced into intracellular signals that regulate key neurobiological processes and may be involved in pathological processes. However, measurement of such forces in the nanonewton (nN) range within a three-dimensional (3D) microenvironment remains technically challenging and computationally intensive. Here, we present a solution to this challenge, based on elastomeric 3D microstructures fabricated via two-photon polymerization (2PP) and a tailored wet-etching process. The resulting free-standing beam architectures enable the quantification of nN forces exerted by pluripotent stem cell-derived neuroepithelial progenitor cells. We characterized the morphology of the cells and the forces they exerted using live-cell confocal imaging microscopy, scanning electron microscopy (SEM), supported by an in-house routine for intensity-based deflection measurements with sub-pixel resolution, and atomic force microscopy (AFM). Using this platform, we precisely quantified neuronal traction forces down to 1.2 nN from both healthy neural cells and those carrying a TSC2 gene mutation linked to tuberous sclerosis complex (TSC). The proposed elastomeric microenvironment paves the way for investigating cytoskeletal mechanics, neuromechanobiology in 3D, and for developing in vitro disease treatment models.

Indexed as

Cellular MicroenvironmentElastomersNeuroepithelial CellsPluripotent Stem CellsPrinting, Three-DimensionalHumansMicroscopy, Atomic ForceElastomersIP‐PDMSneuroepithelial cell forcesneuromechanobiologytwo‐photon polymerizationwet etching

Identifiers

PMID42605692
PMCPMC13648881

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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.