Evidence map›Paper›PMID 40702729›Full record

ArticleBiophysical journal2025

3D multiscale shape analysis of nuclei and in vivo elastic stress sensors allows force inference.

Alejandro Jurado, Jonas Isensee, Arne Hofemeier, Lea Johanna Krüger, Raphael Wittkowski, Ramin Golestanian, Philip Bittihn, Timo Betz

Abstract read
In one paragraph

Article in Biophysical journal, 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.

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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.

Alejandro JuradoThird Institute of Physics-Biophysics, University of Göttingen, Göttingen, Germany; Cluster of Excellence Multiscale Bioimaging: From Molecular Machines to Networks of Excitable Cells (MBExC), University of Göttingen, Göttingen, Germany. Electronic address: alejandro.juradojimenez@phys.uni-goettingen.de.
Jonas IsenseeMax-Planck-Institute for Dynamics and Self-Organization, Göttingen, Germany.
Arne HofemeierInstitute of Pharmacology and Toxicology, University Medical Center Göttingen, Göttingen, Germany.
Lea Johanna KrügerInstitute of Theoretical Physics, Center for Soft Nanoscience, University of Münster, Münster, Germany; DWI - Leibniz Institute for Interactive Materials, Department of Physics, RWTH Aachen University, 52074 Aachen, Germany.
Raphael WittkowskiInstitute of Theoretical Physics, Center for Soft Nanoscience, University of Münster, Münster, Germany; DWI - Leibniz Institute for Interactive Materials, Department of Physics, RWTH Aachen University, 52074 Aachen, Germany.
Ramin GolestanianMax-Planck-Institute for Dynamics and Self-Organization, Göttingen, Germany.
Philip BittihnMax-Planck-Institute for Dynamics and Self-Organization, Göttingen, Germany.
Timo BetzThird Institute of Physics-Biophysics, University of Göttingen, Göttingen, Germany; Cluster of Excellence Multiscale Bioimaging: From Molecular Machines to Networks of Excitable Cells (MBExC), University of Göttingen, Göttingen, Germany. Electronic address: timo.betz@phys.uni-goettingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measurement of stresses and forces at the tissue level has proven to be an indispensable tool for the understanding of complex biological phenomena such as cancer invasion, embryo development, or wound healing. One of the most versatile tools for force inference at the cell and tissue level are elastic force sensors, whose biocompatibility and tunable material properties make them suitable for many different experimental scenarios. The evaluation of those forces, however, is still a bottleneck due to the numerical methods seen in the literature until now, which are usually slow and render low experimental yield. Here, we present BeadBuddy, a ready-to-use platform for the evaluation of deformation and stresses from fluorescently labeled sensors within seconds. The strengths of BeadBuddy lie in the precomputed analytical solutions of the elastic problem, the abstraction of data into spherical harmonics, and a simple user interface that creates a smooth workflow for force inference.

Indexed as

Cell NucleusElasticityImaging, Three-DimensionalStress, MechanicalAnimalsBiomechanical Phenomena

Identifiers

PMID40702729
PMCPMC12461028

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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.