ArticleProceedings of the National Academy of Sciences of the United States of America2016
Mean deformation metrics for quantifying 3D cell-matrix interactions without requiring information about matrix material properties.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 74 citations in OpenAlex.
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- Field Guide to Traction Force Microscopy.Cellular and molecular bioengineering · 2024Review
- MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles.PloS one · 2024Article
- Integrating mechanical cues with engineered platforms to explore cardiopulmonary development and disease.iScience · 2023Review
- Bayesian traction force estimation using cell boundary-dependent force priors.Biophysical journal · 2023Article
- Emergent mechanical control of vascular morphogenesis.Science advances · 2023Article
- Mechanosensitive traction force generation is regulated by the neutrophil activation state.Scientific reports · 2023Article
- Synthetic fibrous hydrogels as a platform to decipher cell-matrix mechanical interactions.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Reciprocity of Cell Mechanics with Extracellular Stimuli: Emerging Opportunities for Translational Medicine.Small (Weinheim an der Bergstrasse, Germany) · 2022Review
- Deep-learning-based 3D cellular force reconstruction directly from volumetric images.Biophysical journal · 2022Article
- Integrin Regulated Autoimmune Disorders: Understanding the Role of Mechanical Force in Autoimmunity.Frontiers in cell and developmental biology · 2022Review
- Sarc-Graph: Automated segmentation, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes.PLoS computational biology · 2021Article
- On the Three-Dimensional Correlation Between Myofibroblast Shape and Contraction.Journal of biomechanical engineering · 2021Article
- The interplay between matrix deformation and the coordination of turning events governs directed neutrophil migration in 3D matrices.Science advances · 2021Article
- A novel method for sensor-based quantification of single/multicellular force dynamics and stiffening in 3D matrices.Science advances · 2021Article
- Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen.Scientific reports · 2021Article
- Flagellar kinematics reveals the role of environment in shaping sperm motility.Journal of the Royal Society, Interface · 2020Article
- Mechanophenotyping of 3D multicellular clusters using displacement arrays of rendered tractions.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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Abstract
Mechanobiology relates cellular processes to mechanical signals, such as determining the effect of variations in matrix stiffness with cell tractions. Cell traction recorded via traction force microscopy (TFM) commonly takes place on materials such as polyacrylamide- and polyethylene glycol-based gels. Such experiments remain limited in physiological relevance because cells natively migrate within complex tissue microenvironments that are spatially heterogeneous and hierarchical. Yet, TFM requires determination of the matrix constitutive law (stress-strain relationship), which is not always readily available. In addition, the currently achievable displacement resolution limits the accuracy of TFM for relatively small cells. To overcome these limitations, and increase the physiological relevance of in vitro experimental design, we present a new approach and a set of associated biomechanical signatures that are based purely on measurements of the matrix's displacements without requiring any knowledge of its constitutive laws. We show that our mean deformation metrics (MDM) approach can provide significant biophysical information without the need to explicitly determine cell tractions. In the process of demonstrating the use of our MDM approach, we succeeded in expanding the capability of our displacement measurement technique such that it can now measure the 3D deformations around relatively small cells (∼10 micrometers), such as neutrophils. Furthermore, we also report previously unseen deformation patterns generated by motile neutrophils in 3D collagen gels.
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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.