ArticleScientific reports2019
Versatile and High-throughput Force Measurement Platform for Dorsal Cell Mechanics.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026Review
- MTMR regulates KRAS function by controlling plasma membrane levels of phospholipids.The Journal of cell biology · 2025Article
- Review
- Advanced Mechanical Testing Technologies at the Cellular Level: The Mechanisms and Application in Tissue Engineering.Polymers · 2023Review
- Measurement of Forces for Trans-Endocytosis at Dorsal and Ventral Sides of the Cell.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Mechanical regulation of signal transduction in angiogenesis.Frontiers in cell and developmental biology · 2022Review
- Stretching DNA origami: effect of nicks and Holliday junctions on the axial stiffness.Nucleic acids research · 2020Article
- Force-dependent trans-endocytosis by breast cancer cells depletes costimulatory receptor CD80 and attenuates T cell activation.Biosensors & bioelectronics · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a high-throughput microfluidics technique facilitating in situ measurements of cell mechanics parameters at the dorsal side of the cell, including molecular binding strengths, local traction forces, and viscoelastic properties. By adjusting the flow rate, the force magnitude exerted on the cell can be modulated ranging from ~14 pN to 2 nN to perturb various force-dependent processees in cells. Time-lapse images were acquired to record events due to such perturbation. The values of various mechanical parameters are subsequently obtained by single particle tracking. Up to 50 events can be measured simultaneously in a single experiment. Integrating the microfluidic techniques with the analytic framework established in computational fluid dynamics, our method is physiologically relevant, reliable, economic and efficient.
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Registered trials
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