AIMC Topic: Microfilament Proteins

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3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer's disease via machine learning.

Acta neuropathologica communications Dec 24, 2024
Alzheimer's Disease (AD) is a debilitating neurodegenerative disease that affects 47.5 million people worldwide. AD is characterised by the formation of plaques containing extracellular amyloid-β (Aβ) and neurofibrillary tangles composed of hyper-pho...
Imaging, Three-Dimensional Microglia Antigens, CD Aged, 80 and over Male Middle Aged Microfilament Proteins Antigens, Differentiation, Myelomonocytic CD68 Molecule Retina Humans Alzheimer Disease Calcium-Binding Proteins Machine Learning Female Aged
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An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblasts.

PloS one Apr 17, 2024
In this work, a Python framework for characteristic feature extraction is developed and applied to gene expression data of human fibroblasts. Unlabeled feature selection objectively determines groups and minimal gene sets separating groups. ML explai...
Microfilament Proteins Vesicular Transport Proteins Humans Machine Learning Aging
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A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learning.

Journal of orthopaedic surgery and research Jan 11, 2021
BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune rheumatic disease that carries a substantial burden for both patients and society. Early diagnosis of RA is essential to prevent disease progression and select an optimal therapeutic strategy. Ho...
RNA, Messenger Logistic Models Gene Expression Gene Expression Profiling Arthritis, Rheumatoid Computational Biology Profilins Actins Microfilament Proteins Cofilin 1 Humans Machine Learning Forecasting Biomarkers Female Male
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Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.

BioMed research international Mar 26, 2020
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology.
Microfilament Proteins Cyclin-Dependent Kinase Inhibitor p57 Protein Tyrosine Phosphatases Peptide Hydrolases Mitochondrial Proteins DNA Methylation Machine Learning Carrier Proteins Humans Genetic Markers Gene Expression Regulation, Neoplastic DNA-Binding Proteins Transcription Factors Alzheimer Disease Patients
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Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning.

Nature biomedical engineering May 20, 2019
Preclinical studies of psychiatric disorders use animal models to investigate the impact of environmental factors or genetic mutations on complex traits such as decision-making and social interactions. Here, we introduce a method for the real-time an...
Mice, Knockout Mutation Video Recording Autistic Disorder Behavior, Animal Behavioral Research Mice Disease Models, Animal Nerve Tissue Proteins Animals Male Social Behavior Machine Learning Microfilament Proteins Phenotype Female
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Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging.

Nature communications Apr 27, 2018
Cell protrusion is morphodynamically heterogeneous at the subcellular level. However, the mechanism of cell protrusion has been understood based on the ensemble average of actin regulator dynamics. Here, we establish a computational framework called ...
Cell Movement Models, Biological Software Intravital Microscopy Cluster Analysis Humans Phosphoproteins Potoroidae Indoles Cell Line Pseudopodia Machine Learning Actins Vasodilator-Stimulated Phosphoprotein Cell Adhesion Molecules Actin Cytoskeleton Actin-Related Protein 2-3 Complex Microfilament Proteins Animals Cell Line, Tumor
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Progress in deep Markov state modeling: Coarse graining and experimental data restraints.

The Journal of chemical physics Dec 7, 2021
Recent advances in deep learning frameworks have established valuable tools for analyzing the long-timescale behavior of complex systems, such as proteins. In particular, the inclusion of physical constraints, e.g., time-reversibility, was a crucial ...
Neural Networks, Computer Molecular Dynamics Simulation Markov Chains Biophysics Microfilament Proteins
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