Collective cell migration in 3D extracellular matrix (ECM) is crucial to many physiological and pathological processes. Migrating cells can generate active pulling forces via actin filament contraction, which are transmitted to the ECM fibers and lead to a dynamically evolving force network in the system. Here, we elucidate the role of this force network in regulating collective cell behaviors using a minimal active-particle-on-network (APN) model, in which active particles can pull the fibers and hop between neighboring nodes of the network following local durotaxis. Our model reveals a dynamic transition as the particle number density approaches a critical value, from an "absorbing" state containing isolated stationary small particle clusters, to an "active" state containing a single large cluster undergoing constant dynamic reorganization. This reorganization is dominated by a subset of highly dynamic "radical" particles in the cluster, whose number also exhibits a transition at the same critical density. The transition is underlaid by the percolation of "influence spheres" due to the particle pulling forces. Our results suggest a robust mechanism based on ECM-mediated mechanical coupling for collective cell behaviors in 3D ECM.
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http://dx.doi.org/10.1039/c9sm01244c | DOI Listing |
ACS Nano
December 2024
Institute of Functional Nano and Soft Materials (FUNSOM), Joint International Research Laboratory of Carbon-Based Functional Materials and Devices, Soochow University, Suzhou 215123, P. R. China.
Triboelectrification-based artificial mechanoreceptors (TBAMs) is able to convert mechanical stimuli directly into electrical signals, realizing self-adaptive protection and human-machine interactions of robots. However, traditional contact-electrification interfaces are prone to reaching their deformation limits under large pressures, resulting in a relatively narrow linear range. In this work, we fabricated mechano-graded microstructures to modulate the strain behavior of contact-electrification interfaces, simultaneously endowing the TBAMs with a high sensitivity and a wide linear detection range.
View Article and Find Full Text PDFJ Formos Med Assoc
December 2024
Division of Colorectal Surgery, Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, 100225, Taiwan. Electronic address:
Background: Surgical smoke generated by energy devices poses health risks to medical staff. During laparoscopic surgery, the smoke aggregating around the camera obstructs the visual field, forcing surgeons to interrupt surgery, and may increase surgical risk. We propose a proximal smoke evacuation method to improve surgical quality by effectively eliminating surgical smoke.
View Article and Find Full Text PDFJ Sci Food Agric
December 2024
Department of Food Science and Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou, China.
Background: Wheat gluten (WG) is a crucial cereal protein commonly utilized in the food, biological and pharmaceutical industries. However, WG is poorly soluble in water, resulting in poor functional properties, which restrict its application in the food industry. As a result, there is an urgent need for improving the properties of WG.
View Article and Find Full Text PDFBMC Med Res Methodol
December 2024
Department of Military Health Statistics, Faculty of Preventive Medicine, Air Force Medical University/Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, Shaanxi, China.
Background: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and machine learning (ML) are commonly used to analyse longitudinal data; however, the former is insufficient for dealing with complex, nonlinear data, whereas with the latter, random effects are ignored. The aim of this study was to develop LME, back propagation neural network (BPNN), and mixed-effects NN models that combine the 2 to predict FPG levels.
View Article and Find Full Text PDFJ Oral Biosci
December 2024
Oral Functional Prosthodontics.
Objective: To elucidate the mechanisms underlying diabetic osteoporosis, we conducted a comprehensive histological examination of the femora of Spontaneously Diabetic Torii-Lepr (SDT-fa/fa) rats, an established model of obesity-related type 2 diabetes.
Materials And Methods: Femora from 12 30-week-old male SDT-fa/fa rats and age-matched Sprague-Dawley (SD) rats (controls) were used for detailed histochemical analyses, including tartrate-resistant acid phosphatase (TRAP), cathepsin K, alkaline phosphatase (ALP), phosphoethanolamine/ phosphocholine phosphatase 1 (PHOSPHO1), dentin matrix protein (DMP)-1, matrix extracellular phosphoglycoprotein (MEPE), sclerostin, osteocalcin staining, silver impregnation, von Kossa staining, and micro-computed tomography (CT).
Results: Micro-CT and hematoxylin-eosin staining demonstrated significantly reduced trabecular bone volume in the femoral metaphyses of SDT-fa/fa rats.
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