作者: Kaoru Sugimura , Yohanns Bellaiche , François Graner , Philippe Marcq , Shuji Ishihara
DOI: 10.1109/EMBC.2013.6610100
关键词: Robustness (computer science) 、 Biomechanics 、 Stress (mechanics) 、 Tension (physics) 、 Inference 、 Biology 、 Dynamics (mechanics) 、 Biological system 、 Bayesian probability 、 Inverse problem 、 Nanotechnology
摘要: During morphogenesis, the shape of a tissue emerges from collective cellular behaviors, which are in part regulated by mechanical and biochemical interactions between cells. Quantification force stress is therefore necessary to analyze mechanisms controlling morphogenesis. Recently, measurement method based on inference cell shapes connectivity has been developed. It non-invasive, can provide space-time maps within an epithelial tissue, up prefactors. We previously performed comparative study three force-inference methods, differ their approach treating indefiniteness inverse problem forces. In present study, further validate compare we tested robustness measuring temporal fluctuation estimated Quantitative data cell-level dynamics developing suggests that variation forces will remain small short period time (~minutes). Here, showed cell-junction tensions global inferred Bayesian varied less with than those estimates only tension. contrast, amplitude fluctuations pressures differs different methods. Altogether, strengthens validity method.