AIMC Topic: Extracellular Matrix Proteins
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Discovery of novel diagnostic biomarkers of hepatocellular carcinoma associated with immune infiltration.
Annals of medicine
May 29, 2025
OBJECTIVE: Diagnosis of hepatocellular carcinoma (HCC) remains challenging for clinicians. Machine learning approaches and big data analyses are viable strategies for identifying HCC diagnostic markers.
Integration of single-cell and bulk RNA sequencing data using machine learning identifies oxidative stress-related genes LUM and PCOLCE2 as potential biomarkers for heart failure.
International journal of biological macromolecules
Feb 8, 2025
Oxidative stress (OS) is a pivotal mechanism driving the progression of cardiovascular diseases, particularly heart failure (HF). However, the comprehensive characterisation of OS-related genes in HF remains largely unexplored. In the present study, ...
Au-decorated TiCT/porous carbon immunoplatform for ECM1 breast cancer biomarker detection with machine learning computation for predictive accuracy.
Talanta
Jul 4, 2024
Electrochemical immunosensors, surpassing conventional diagnostics, exhibit significant potential for cancer biomarker detection. However, achieving a delicate balance between signal sensitivity and operational stability, especially at the heterostru...
MicroRNA classification and discovery for major depressive disorder diagnosis: Towards a robust and interpretable machine learning approach.
Journal of affective disorders
May 22, 2024
BACKGROUND: Major depressive disorder (MDD) is notably underdiagnosed and undertreated due to its complex nature and subjective diagnostic methods. Biomarker identification would help provide a clearer understanding of MDD aetiology. Although machine...
Identifying as a Biomarker Covering Multiple Pathogenic Pathways for Diagnosing Heart Failure: From Machine Learning to Mechanism Interpretation.
Biomolecules
Feb 2, 2024
BACKGROUND: The pathophysiologic heterogeneity of heart failure (HF) necessitates a more detailed identification of diagnostic biomarkers that can reflect its diverse pathogenic pathways.
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics.
Nature communications
Jun 7, 2021
Characterizing the human leukocyte antigen (HLA) bound ligandome by mass spectrometry (MS) holds great promise for developing vaccines and drugs for immune-oncology. Still, the identification of non-tryptic peptides presents substantial computational...
Predicting Proteolysis in Complex Proteomes Using Deep Learning.
International journal of molecular sciences
Mar 17, 2021
Both protease- and reactive oxygen species (ROS)-mediated proteolysis are thought to be key effectors of tissue remodeling. We have previously shown that comparison of amino acid composition can predict the differential susceptibilities of proteins t...
Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease.
American journal of physiology. Heart and circulatory physiology
May 18, 2018
Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biological processes in an array of organ systems, including the cardiovascular system. Using a novel bioinformatics text-mining tool, we studied six cate...
Substrate stiffness affects neural network activity in an extracellular matrix proteins dependent manner.
Colloids and surfaces. B, Biointerfaces
Mar 27, 2018
Neuronal growth, differentiation, extension, branching and neural network activity are strongly influenced by the mechanical property of extracellular matrix (ECM). However, the mechanism by which substrate stiffness regulates a neural network activi...
Machine learning approaches for discrimination of Extracellular Matrix proteins using hybrid feature space.
Journal of theoretical biology
May 11, 2016
Extracellular Matrix (ECM) proteins are the vital type of proteins that are secreted by resident cells. ECM proteins perform several significant functions including adhesion, differentiation, cell migration and proliferation. In addition, ECM protein...
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