ArticleScientific reports2021
Cell morphology and mechanosensing can be decoupled in fibrous microenvironments and identified using artificial neural networks.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Physical continuity at biomaterial-ECM interfaces is associated with reduced fibroblast activation and NF-κB signaling.Biomaterials · 2026Article
- Analysis of 2-dimensional regional differences in the peripapillary scleral fibroblast cytoskeleton of normotensive and hypertensive mouse eyes.Scientific reports · 2025Article
- AI-driven 3D bioprinting for regenerative medicine: From bench to bedside.Bioactive materials · 2025Review
- Prognostic and therapeutic implications of tumor-restrictive type III collagen in the breast cancer microenvironment.NPJ breast cancer · 2024Article
- Extracellular Matrix Components and Mechanosensing Pathways in Health and Disease.Biomolecules · 2024Review
- Modulating mechanobiology as a therapeutic target for synovial fibrosis to restore joint lubrication.Osteoarthritis and cartilage · 2024Article
- Transient inhibition of meniscus cell migration following acute inflammatory challenge.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023Article
- Sex as a Biological Variable in Tissue Engineering and Regenerative Medicine.Annual review of biomedical engineering · 2023Review
- Periodontal Ligament-Mimetic Fibrous Scaffolds Regulate YAP-Associated Fibroblast Behaviors and Promote Regeneration of Periodontal Defect in Relation to the Scaffold Topography.ACS applied materials & interfaces · 2023Article
- CellVisioner: A Generalizable Cell Virtual Staining Toolbox based on Few-Shot Transfer Learning for Mechanobiological Analysis.Research (Washington, D.C.) · 2023Article
- On modeling the multiscale mechanobiology of soft tissues: Challenges and progress.Biophysics reviews · 2022Review
- A strategy to quantify myofibroblast activation on a continuous spectrum.Scientific reports · 2022Article
- Sex-Specific Response to Combinations of Shear Stress and Substrate Stiffness by Endothelial Cells In Vitro.Advanced healthcare materials · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Cells interpret cues from and interact with fibrous microenvironments through the body based on the mechanics and organization of these environments and the phenotypic state of the cell. This in turn regulates mechanoactive pathways, such as the localization of mechanosensitive factors. Here, we leverage the microscale heterogeneity inherent to engineered fiber microenvironments to produce a large morphologic data set, across multiple cells types, while simultaneously measuring mechanobiological response (YAP/TAZ nuclear localization) at the single cell level. This dataset describing a large dynamic range of cell morphologies and responses was coupled with a machine learning approach to predict the mechanobiological state of individual cells from multiple lineages. We also noted that certain cells (e.g., invasive cancer cells) or biochemical perturbations (e.g., modulating contractility) can limit the predictability of cells in a universal context. Leveraging this finding, we developed further models that incorporate biochemical cues for single cell prediction or identify individual cells that do not follow the established rules. The models developed here provide a tool for connecting cell morphology and signaling, incorporating biochemical cues in predictive models, and identifying aberrant cell behavior at the single cell level.
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