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Extracellular Matrix

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Self-supervised classification of subcellular morphometric phenotypes reveals extracellular matrix-specific morphological responses.

Scientific reports
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...

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

Physical biology
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...

Magnetic soft robotics to manipulate the extracellular matrix in vitro.

Cell
The importance of dynamic mechanical control over the cellular microenvironment has long been appreciated. In a recent issue of Device, Raman and colleagues design a clever yet generalizable tool to achieve this, illustrating magnetic stimulation of ...

Multimodal characterization of the collagen hydrogel structure and properties in response to physiologically relevant pH fluctuations.

Acta biomaterialia
pH fluctuations within the extracellular matrix (ECM) and its principal constituent collagen, particularly in solid tumors and chronic wounds, may influence its structure and function. Whereas previous research examined the impact of pH on collagen f...

Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence.

International journal of molecular sciences
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating synapses on large populations of CNS neurons. PNN undergo structural changes in schizophrenia, epilepsy, Alzheimer's disease, stroke, post-traumatic co...

Combined High-Throughput Proteomics and Random Forest Machine-Learning Approach Differentiates and Classifies Metabolic, Immune, Signaling and ECM Intra-Tumor Heterogeneity of Colorectal Cancer.

Cells
Colorectal cancer (CRC) is a frequent, worldwide tumor described for its huge complexity, including inter-/intra-heterogeneity and tumor microenvironment (TME) variability. Intra-tumor heterogeneity and its connections with metabolic reprogramming an...

Machine learning identifies remodeling patterns in human lung extracellular matrix.

Acta biomaterialia
Organ function depends on the three-dimensional integrity of the extracellular matrix (ECM). The structure resulting from the location and association of ECM components is a central regulator of cell behavior, but a dearth of matrix-specific analysis...

Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.

Clinical biochemistry
BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) are in high demand. Although underutilized, extracellular matrix (ECM) components offer significant diagnostic potential. This study evaluates ECM-relat...

FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images.

PloS one
The extracellular matrix (ECM) is a complex network of biomolecules that plays an integral role in the structure, processes, and signaling mechanisms of cells and tissues. Identifying and quantifying changes in these matrix components provides insigh...