AIMC Topic: Hepatocytes

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Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens.

Diagnostic pathology May 6, 2021
BACKGROUND: The objective was to build a novel method for automated image analysis to locate and quantify the number of cytokeratin 7 (K7)-positive hepatocytes reflecting cholestasis by applying deep learning neural networks (AI model) in a cohort of...
Biomarkers Female Aged Young Adult Adult Humans Image Processing, Computer-Assisted Hepatocytes Cholangitis, Sclerosing Cholestasis Keratin-7 Male Middle Aged Deep Learning Adolescent Child
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Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes.

PloS one Aug 11, 2020
In clinical trials, animal and cell line models are often used to evaluate the potential toxic effects of a novel compound or candidate drug before progressing to human trials. However, relating the results of animal and in vitro model exposures to r...
Hepatocytes Gene Expression Regulation Clinical Trials as Topic Humans Neural Networks, Computer Machine Learning Algorithms Animals Deep Learning Rats
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Cross-species regulatory sequence activity prediction.

PLoS computational biology Jul 20, 2020
Machine learning algorithms trained to predict the regulatory activity of nucleic acid sequences have revealed principles of gene regulation and guided genetic variation analysis. While the human genome has been extensively annotated and studied, mod...
Gene Expression Regulation Genome, Human Genomics Machine Learning Species Specificity Computational Biology Software Epigenomics Quantitative Trait Loci Algorithms Models, Genetic Animals Databases, Genetic Mice Sequence Analysis, DNA Humans Models, Statistical Mutation Neural Networks, Computer Hepatocytes Genetic Variation
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Predicting direct hepatocyte toxicity in humans by combining high-throughput imaging of HepaRG cells and machine learning-based phenotypic profiling.

Archives of toxicology Jun 12, 2020
Accurate prediction of drug- and chemical-induced hepatotoxicity remains to be a problem for pharmaceutical companies as well as other industries and regulators. The goal of the current study was to develop an in vitro/in silico method for the rapid ...
Actin Cytoskeleton Proto-Oncogene Mas DNA Damage Microscopy, Fluorescence Cellular Senescence Cell Death Hepatocytes High-Throughput Screening Assays Toxicity Tests Transcription Factor RelA Chemical and Drug Induced Liver Injury Primary Cell Culture Phenotype Risk Assessment Image Processing, Computer-Assisted Hep G2 Cells Dose-Response Relationship, Drug Humans Machine Learning
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Direct Comparison of Total Clearance Prediction: Computational Machine Learning Model versus Bottom-Up Approach Using In Vitro Assay.

Molecular pharmaceutics Jun 12, 2020
The in vitro-in vivo extrapolation (IVIVE) approach for predicting total plasma clearance (CL) has been widely used to rank order compounds early in discovery. More recently, a computational machine learning approach utilizing physicochemical descrip...
Male Protein Binding Rats Rats, Sprague-Dawley Liver Humans Machine Learning Animals Microsomes, Liver Hepatocytes Permeability Pharmacokinetics Administration, Intravenous Blood Proteins Pharmaceutical Preparations Dogs Models, Biological Madin Darby Canine Kidney Cells Plasma Metabolic Clearance Rate Membranes, Artificial
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A Network Pharmacology-Based Study on the Hepatoprotective Effect of Fructus Schisandrae.

Molecules (Basel, Switzerland) Sep 28, 2017
(Wuweizi in Chinese), a common traditional Chinese herbal medicine, has been used for centuries to treat chronic liver disease. The therapeutic efficacy of Wuweizi has also been validated in clinical practice. In this study, molecular docking and ne...
Liver Diseases Databases, Pharmaceutical Schisandra Humans Neural Networks, Computer Computer Simulation Protective Agents Drugs, Chinese Herbal Hepatocytes
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Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.

Nucleic acids research Nov 29, 2016
The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF b...
Cell Line Principal Component Analysis DNA CD4-Positive T-Lymphocytes Hepatocytes Gene Expression Regulation Organ Specificity K562 Cells Histones Binding Sites Algorithms Cell Line, Tumor Protein Binding Transcription Factors Hep G2 Cells Humans Machine Learning Primary Cell Culture Chromatin Chromatin Assembly and Disassembly Human Embryonic Stem Cells
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Construction and characterization of recombinant adenovirus carrying a mouse TIGIT-GFP gene.

Genetics and molecular research : GMR Dec 29, 2015
Recombinant adenovirus vector systems have been used extensively in protein research and gene therapy. However, the construction and characterization of recombinant adenovirus is a tedious and time-consuming process. TIGIT is a recently discovered im...
Recombinant Fusion Proteins Gene Expression Humans Adenoviridae Hepatocytes Animals Receptors, Immunologic Genetic Vectors Mice Green Fluorescent Proteins Transduction, Genetic Cell Line Gene Order
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Quantifying co-cultured cell phenotypes in high-throughput using pixel-based classification.

Methods (San Diego, Calif.) Dec 11, 2015
Biologists increasingly use co-culture systems in which two or more cell types are grown in cell culture together in order to better model cells' native microenvironments. Co-cultures are often required for cell survival or proliferation, or to maint...
Pattern Recognition, Automated Cell Nucleus Primary Cell Culture Humans Cell Line Phenotype Machine Learning Cell Survival Animals Software Hepatocytes Image Processing, Computer-Assisted Algorithms High-Throughput Screening Assays Mice Coculture Techniques Fibroblasts
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Computational assignment of cell-cycle stage from single-cell transcriptome data.

Methods (San Diego, Calif.) Jul 2, 2015
The transcriptome of single cells can reveal important information about cellular states and heterogeneity within populations of cells. Recently, single-cell RNA-sequencing has facilitated expression profiling of large numbers of single cells in para...
Embryonic Stem Cells Single-Cell Analysis Humans Mice Machine Learning Computational Biology Hepatocytes Animals Cell Cycle Gene Expression Profiling Transcriptome Cell Line, Tumor
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