AIMC Topic: Hep G2 Cells

Clear Filters Showing 11 to 20 of 38 articles

Manipulation of Multiple Cell-Cell Interactions by Tunable DNA Scaffold Networks.

Angewandte Chemie (International ed. in English) Dec 23, 2021
Manipulation of cell-cell interactions via cell surface engineering has potential biomedical applications in tissue engineering and cell therapy. However, manipulation of the comprehensive and multiple intercellular interactions remains a challenge a...
Hep G2 Cells DNA Polymers Cell Communication HeLa Cells Humans Neural Networks, Computer
View on PubMed DOI

Mulberry leaves ameliorate diabetes via regulating metabolic profiling and AGEs/RAGE and p38 MAPK/NF-κB pathway.

Journal of ethnopharmacology Oct 6, 2021
ETHNOPHARMACOLOGICAL RELEVANCE: Mulberry leaves have been used as traditional hypoglycemic medicine-food plant for thousand years in China. According to traditional Chinese medicine theory, type 2 diabetes mellitus (T2DM) belongs to the category of X...
Humans Glycation End Products, Advanced Animals Receptor for Advanced Glycation End Products Plant Leaves Male Polysaccharides Diabetes Mellitus, Experimental Mice Flavonoids Morus Diabetes Mellitus, Type 2 NF-kappa B Plant Extracts Alkaloids p38 Mitogen-Activated Protein Kinases Hypoglycemic Agents 3T3-L1 Cells Hep G2 Cells
View on PubMed DOI

Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs.

Nature communications Mar 25, 2021
Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accurately predicting the most appropriate therapies to treat individual patients. Here, we present an approach, named Drug Ranking Using ML (DRUML), which use...
Computational Biology Proteomics Cell Proliferation Hep G2 Cells Drug Screening Assays, Antitumor Prognosis Neoplasms Antineoplastic Agents Cell Line, Tumor Leukemia Humans Cytarabine Machine Learning
View on PubMed DOI

Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments.

Nature communications Dec 7, 2020
Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy's utility. Recently, it has been shown t...
Humans Artificial Intelligence Algorithms CHO Cells Reproducibility of Results Cricetinae Cell Compartmentation Cricetulus Animals Microscopy, Interference Cytoplasm Microscopy, Fluorescence Cell Line, Tumor Time-Lapse Imaging Microscopy, Phase-Contrast Cell Nucleus Hep G2 Cells Intracellular Space
View on PubMed DOI

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 ...
Microscopy, Fluorescence Cellular Senescence Cell Death Hepatocytes High-Throughput Screening Assays Image Processing, Computer-Assisted Hep G2 Cells Dose-Response Relationship, Drug DNA Damage Actin Cytoskeleton Proto-Oncogene Mas Toxicity Tests Transcription Factor RelA Chemical and Drug Induced Liver Injury Primary Cell Culture Machine Learning Phenotype Risk Assessment Humans
View on PubMed DOI

Revealing cytotoxic substructures in molecules using deep learning.

Journal of computer-aided molecular design Apr 16, 2020
In drug development, late stage toxicity issues of a compound are the main cause of failure in clinical trials. In silico methods are therefore of high importance to guide the early design process to reduce time, costs and animal testing. Technical a...
Drug Discovery Models, Biological Deep Learning Hep G2 Cells Cytotoxins Cell Survival Humans HEK293 Cells Neural Networks, Computer Toxicology Software Computer-Aided Design Small Molecule Libraries Drug Design
View on PubMed DOI

UPLC-ESI-MS/MS based identification and antioxidant, antibacterial, cytotoxic activities of aqueous extracts from storey onion (Allium cepa L. var. proliferum Regel).

Food research international (Ottawa, Ont.) Dec 30, 2019
Storey onion (Allium cepa L. var. proliferum Regel) is a variety of onion commonly grown in northern China that has not been researched in detail. This study aimed to identify the chemical compositions of storey onion aqueous extracts by UPLC-ESI-MS/...
Aspergillus niger Hep G2 Cells Free Radicals Antineoplastic Agents, Phytogenic Humans Onions Chromatography, Liquid Yeasts Anti-Bacterial Agents Tandem Mass Spectrometry Bacteria Antioxidants
View on PubMed DOI

Gene Ontology and Expression Studies of Strigolactone Analogues on a Hepatocellular Carcinoma Cell Line.

Analytical cellular pathology (Amsterdam) Aug 4, 2019
Human hepatocellular carcinoma (HCC) is the most common and recurrent type of primary adult liver cancer without any effective therapy. Plant-derived compounds acting as anticancer agents can induce apoptosis by targeting several signaling pathways. ...
Carcinoma, Hepatocellular RNA, Messenger Gene Expression Regulation, Neoplastic Hep G2 Cells Up-Regulation Gene Ontology Lactones Down-Regulation Humans Liver Neoplasms
View on PubMed DOI

Deep-learning augmented RNA-seq analysis of transcript splicing.

Nature methods Mar 25, 2019
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on high sequencing coverage. We report DARTS (https://github.com/Xinglab/DARTS), a computational framework that integrates deep-learning-based predictions...
Humans Signal Processing, Computer-Assisted Sequence Analysis, RNA Algorithms Exons Epigenomics K562 Cells RNA Hep G2 Cells Reproducibility of Results Alternative Splicing RNA Splicing High-Throughput Nucleotide Sequencing Models, Statistical Gene Expression Profiling Gene Expression Regulation Bayes Theorem Deep Learning
View on PubMed DOI

Large-Scale Screening of Natural Products Transactivating Peroxisome Proliferator-Activated Receptor α Identifies 9S-Hydroxy-10E,12Z,15Z-Octadecatrienoic Acid and Cymarin as Potential Compounds Capable of Increasing Apolipoprotein A-I Transcription in Human Liver Cells.

Lipids Feb 1, 2019
Increasing apolipoprotein A-I (apoA-I), the predominant protein of high-density lipoprotein (HDL) particles, has favorable effects on atherogenic risk factors. Here, we investigated the effects of peroxisome proliferator-activated receptor α (PPARα) ...
HEK293 Cells PPAR alpha Cymarine Biological Products Dicarboxylic Acids Cell Survival Humans Apolipoprotein A-I Hep G2 Cells
View on PubMed DOI
Popular Topics
Recent Journals