ArticleBiomaterials2021
Force sensors for measuring microenvironmental forces during mesenchymal condensation.
Article in Biomaterials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Design and optimization of in situ self-functionalizing stress sensors.The European physical journal. E, Soft matter · 2026Article
- Mapping Collective Forces of Lung Cancer Spheroids Using Traction Force Microscopy.Biotechnology and bioengineering · 2026Article
- Three-dimensional traction technology and its application in mechanomedicine.Mechanobiology in medicine · 2025Review
- Cell condensation initiates organogenesis: the role of actin dynamics in supracellular self-organizing process.Cell & bioscience · 2025Review
- Selection of Force Sensors forTissue engineering. Part A · 2025Article
- 3D Traction Force Microscopy in Biological Gels: From Single Cells to Multicellular Spheroids.Annual review of biomedical engineering · 2024Review
- Chondrogenesis of Adipose-Derived Stem Cells Using an Arrayed Spheroid Format.Cellular and molecular bioengineering · 2022Article
- The biophysics of cancer: emerging insights from micro- and nanoscale tools.Advanced nanobiomed research · 2022Article
- Droplet microfluidic devices for organized stem cell differentiation into germ cells: capabilities and challenges.Biophysical reviews · 2021Review
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Mechanical forces are an essential element to early tissue formation. However, few techniques exist that can quantify the mechanical microenvironment present within cell-dense neotissues and organoid structures. Here is a versatile approach to measure microscale, cellular forces during mesenchymal condensation using specially tailored, hyper-compliant microparticles (HCMPs). Through monitoring of HCMP deformation over both space and time, measurements of the mechanical forces that cells exert, and have exerted on them, during tissue formation are acquired. The current study uses this technology to track changes in the mechanical microenvironment as mesenchymal stem cells self-assemble into spheroids and condense into cohesive units. An array analysis approach, using a high-content imaging system, shows that cells exert a wide range of tensile and compressive forces during the first few hours of self-assembly, followed by a period of relative equilibrium. Cellular interactions with HCMPs are further examined by applying collagen coating, which allows for increased tensile forces to be exerted compared to non-coated HCMPs. Importantly, the hyper-compliant nature of our force sensors allows for increased precision over less compliant versions of the same particle. This sensitivity resolves small changes in the microenvironment even at the earliest stages of development and morphogenesis. The overall experimental platform provides a versatile means for measuring direct and indirect spatiotemporal forces in cell-dense biological systems.
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Registered trials
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.