ReviewJournal of biomechanical engineering2014
Adhesive dynamics.
Review in Journal of biomechanical engineering, 2014. 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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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.
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Who cites it
13 citing papers in PubMed, 39 citations in OpenAlex.
- De novo DNA-based catch bonds.Nature chemistry · 2024Article
- A Microfluidic Design for Quantitative Measurements of Shear Stress-Dependent Adhesion and Motion ofBiomimetics (Basel, Switzerland) · 2024Article
- The role of adhesive receptor patterns on cell transport in complex microvessels.Biomechanics and modeling in mechanobiology · 2022Article
- Correlating single-molecule rupture mechanics with cell population adhesion by yeast display.Biophysical reports · 2022Article
- Shear-driven rolling of DNA-adhesive microspheres.Biophysical journal · 2021Article
- Localization of Rolling and Firm-Adhesive Interactions Between Circulating Tumor Cells and the Microvasculature Wall.Cellular and molecular bioengineering · 2020Article
- Adhesive dynamics simulations quantitatively predict effects of kindlin-3 deficiency on T-cell homing.Integrative biology : quantitative biosciences from nano to macro · 2019Article
- Biophysics of Cell-Substrate Interactions Under Shear.Frontiers in cell and developmental biology · 2019Review
- Effect of Loading History on Airway Smooth Muscle Cell-Matrix Adhesions.Biophysical journal · 2018Article
- Factors Diminishing Cytoadhesion of Red Blood Cells Infected by Plasmodium falciparum in Arterioles.Biophysical journal · 2017Article
- Rolling Adhesion of Schizont Stage Malaria-Infected Red Blood Cells in Shear Flow.Biophysical journal · 2017Article
- Biophysical induction of cell release for minimally manipulative cell enrichment strategies.PloS one · 2017Article
- Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Adhesive dynamics (AD) is a method for simulating the dynamic response of biological systems in response to force. Biological bonds are mechanical entities that exert force under strain, and applying forces to biological bonds modulates their rate of dissociation. Since small numbers of events usually control biological interactions, we developed a simple method for sampling probability distributions for the formation or failure of individual bonds. This method allows a simple coupling between force and strain and kinetics, while capturing the stochastic response of biological systems. Biological bonds are dynamically reconfigured in response to applied mechanical stresses, and a detailed spatio-temporal map of molecules and the forces they exert emerges from AD. The shape or motion of materials bearing the molecules is easily calculated from a mechanical energy balance provided the rheology of the material is known. AD was originally used to simulate the dynamics of adhesion of leukocytes under flow, but new advances have allowed the method to be extended to many other applications, including but not limited to the binding of viruses to surface, the clustering of adhesion molecules driven by stiff substrates, and the effect of cell-cell interaction on cell capture and rolling dynamics. The technique has also been applied to applications outside of biology. A particular exciting recent development is the combination of signaling with AD (so-called integrated signaling adhesive dynamics, or ISAD), which allows facile integration of signaling networks with mechanical models of cell adhesion and motility. Potential opportunities in applying AD are summarized.
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What OpenQuestion holds
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.