AIMC Topic: Extracellular Matrix

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Rapid prediction of lab-grown tissue properties using deep learning.

Physical biology Oct 19, 2023
The interactions between cells and the extracellular matrix are vital for the self-organisation of tissues. In this paper we present proof-of-concept to use machine learning tools to predict the role of this mechanobiology in the self-organisation of...
Hydrogels Extracellular Matrix Tissue Engineering Tissue Scaffolds Neural Networks, Computer Machine Learning Deep Learning
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Self-supervised classification of subcellular morphometric phenotypes reveals extracellular matrix-specific morphological responses.

Scientific reports Sep 12, 2022
Cell morphology is profoundly influenced by cellular interactions with microenvironmental factors such as the extracellular matrix (ECM). Upon adhesion to specific ECM, various cell types are known to exhibit different but distinctive morphologies, s...
Fibroblasts Microscopy, Fluorescence Extracellular Matrix Neural Networks, Computer Phenotype
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Predicting and understanding arterial elasticity from key microstructural features by bidirectional deep learning.

Acta biomaterialia May 25, 2022
Microstructural features and mechanical properties are closely related in all soft biological tissues. Both yet exhibit considerable inter-individual differences and are affected by factors such as aging and disease and its progression. Histological ...
Arteries Animals Deep Learning Mice Stress, Mechanical Biomechanical Phenomena Elasticity Collagen Extracellular Matrix
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Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry.

Cells Oct 28, 2021
Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis, and immune response. Platelet interaction with the immediate microenvironment in blood, vasculature, and tissues alters platelet morphology. The qua...
Humans Deep Learning Cell Movement Lipoproteins, LDL Extracellular Matrix Touch Blood Platelets Pseudopodia Cell Shape
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Engineered Extracellular Matrices with Integrated Wireless Microactuators to Study Mechanobiology.

Advanced materials (Deerfield Beach, Fla.) Aug 7, 2021
Mechanobiology explores how forces regulate cell behaviors and what molecular machinery are responsible for the sensing, transduction, and modulation of mechanical cues. To this end, probing of cells cultured on planar substrates has served as a prim...
Extracellular Matrix NIH 3T3 Cells Oligopeptides Mice Cell Movement Robotics Cell Adhesion Finite Element Analysis Wireless Technology Animals
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Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

PLoS computational biology Jul 23, 2021
Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (MET), are believed to play key roles in facilitating the metastatic cascade. Metastatic lesions often exhibit a similar epithelial-like state to that ...
Extracellular Matrix Biophysical Phenomena Cell Adhesion Cell Shape Adaptation, Physiological Models, Biological Vimentin Neoplasm Metastasis Cell Count Epithelial-Mesenchymal Transition Cadherins Tumor Microenvironment Biomarkers, Tumor Cell Line, Tumor Cell Proliferation Antigens, CD Computational Biology Triple Negative Breast Neoplasms Humans Machine Learning Female
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Super resolution microscopy and deep learning identify Zika virus reorganization of the endoplasmic reticulum.

Scientific reports Dec 1, 2020
The endoplasmic reticulum (ER) is a complex subcellular organelle composed of diverse structures such as tubules, sheets and tubular matrices. Flaviviruses such as Zika virus (ZIKV) induce reorganization of ER membranes to facilitate viral replicatio...
Cell Line, Tumor Microscopy Extracellular Matrix Zika Virus Zika Virus Infection Viral Nonstructural Proteins Humans Brain Deep Learning Organoids Endoplasmic Reticulum RNA, Double-Stranded
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Development of an Anisotropically Organized Brain dECM Hydrogel-Based 3D Neuronal Culture Platform for Recapitulating the Brain Microenvironment in Vivo.

ACS biomaterials science & engineering Dec 31, 2019
To mimic the brain tissue microenvironment in vitro, the biological and structural properties of the utilized system must be similar to those of the native brain in the microenvironment in vivo. To promote the bioactive (biological) properties of mat...
Extracellular Matrix Brain Neurons Animals Hydrogels Swine Collagen
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Soft Ring-Shaped Cellu-Robots with Simultaneous Locomotion in Batches.

Advanced materials (Deerfield Beach, Fla.) Nov 27, 2019
Untethered mini-robots can move single cells or aggregates to build complex constructs in confined spaces and may enable various biomedical applications such as regenerative repair in medicine and biosensing in bioengineering. However, a significant ...
Extracellular Matrix NIH 3T3 Cells Tissue Scaffolds Cell Survival Robotics Animals Models, Biological Mice Hydrogels
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Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.

IEEE/ACM transactions on computational biology and bioinformatics May 29, 2018
Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. A major contributing factor to this phenomenon is the failure of traditional in vitro...
Neovascularization, Pathologic Extracellular Matrix Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted Microscopy Cell Culture Techniques Humans Neural Networks, Computer Neoplasms Drug Discovery Antineoplastic Agents
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