AIMC Topic: Cell Line, Tumor

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[Chemical constituents of liquid culture of symbiotic Chaetomium globosum ML-4 of oyster and their in vitro antitumor activity].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Nov 1, 2017
Isolation and purification of chemical constituents of liquid culture of symbiotic Chaetomium globosum ML-4 of oyster was performed through silica gel column chromatography, gel filtration over Sephadex LH-20, preparative TLC and HPLC. Five compounds...
Cell Cycle Checkpoints Liver Neoplasms Chaetomium Carcinoma, Hepatocellular Humans Signal Transduction Ostreidae Animals Apoptosis Cell Line, Tumor Phosphatidylinositol 3-Kinases
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Identification of human flap endonuclease 1 (FEN1) inhibitors using a machine learning based consensus virtual screening.

Molecular bioSystems Jul 25, 2017
Human Flap endonuclease1 (FEN1) is an enzyme that is indispensable for DNA replication and repair processes and inhibition of its Flap cleavage activity results in increased cellular sensitivity to DNA damaging agents (cisplatin, temozolomide, MMS, e...
Gene Expression Machine Learning Inhibitory Concentration 50 Enzyme Inhibitors Colon Organ Specificity Antineoplastic Agents HEK293 Cells Drug Discovery Naphthoquinones Cell Line, Tumor Databases, Chemical Humans Flap Endonucleases Epithelial Cells Cell Survival
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[Downregulation of PTTG1 expression inhibits the proliferation and invasiveness and promotes the apoptosis of human prostate cancer LNCaP-AI cells].

Zhonghua nan ke xue = National journal of andrology Jul 1, 2017
OBJECTIVE: To investigate the effects of down-regulation of PTTG1 expression on the proliferation, invasiveness and apoptosis of androgen-independent human prostate cancer LNCaP-AI cells and their sensitivity to androgen antagonists.
Androgen Antagonists Cell Proliferation Down-Regulation RNA, Small Interfering Apoptosis Transfection Humans Neoplasm Invasiveness Securin Prostatic Neoplasms Male Time Factors Cell Line, Tumor
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A multi-scale convolutional neural network for phenotyping high-content cellular images.

Bioinformatics (Oxford, England) Jul 1, 2017
MOTIVATION: Identifying phenotypes based on high-content cellular images is challenging. Conventional image analysis pipelines for phenotype identification comprise multiple independent steps, with each step requiring method customization and adjustm...
Neural Networks, Computer Software Cell Line, Tumor Image Processing, Computer-Assisted Microscopy Humans
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Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer.

Oncotarget Apr 18, 2017
We demonstrate that model-based unsupervised learning can uniquely discriminate single-cell subpopulations by their gene expression distributions, which in turn allow us to identify specific genes for focused functional studies. This method was appli...
Humans Female Unsupervised Machine Learning AMP-Activated Protein Kinases Metformin Gene Knockdown Techniques cdc42 GTP-Binding Protein Breast Neoplasms Gene Expression Regulation, Neoplastic Gene Expression Profiling Signal Transduction Cell Line, Tumor Cell Movement Computational Biology Cluster Analysis
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Enhancement of the Immune Function by Titanium Dioxide Nanorods and Their Application in Cancer Immunotherapy.

Journal of biomedical nanotechnology Apr 1, 2017
With the rapid development of nanotherapy, concerns surrounding the possible use of nanomaterials-mediated immunomodulation are growing. Thus, evaluating the effects of novel materials for potential application in nanotherapy is essential. Herein, we...
Female Cytokines Animals Cell Line, Tumor Mice Immunotherapy Treatment Outcome Mice, Inbred BALB C Dose-Response Relationship, Drug Titanium Adaptive Immunity Nanotubes Neoplasms, Experimental
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The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology.

Oncotarget Feb 14, 2017
Recent advances in deep learning and specifically in generative adversarial networks have demonstrated surprising results in generating new images and videos upon request even using natural language as input. In this paper we present the first applic...
Humans Neural Networks, Computer Machine Learning Reproducibility of Results High-Throughput Screening Assays K562 Cells Drug Therapy Antineoplastic Agents Cell Line, Tumor Drug Screening Assays, Antitumor MCF-7 Cells
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Development of a Web-Enabled SVR-Based Machine Learning Platform and its Application on Modeling Transgene Expression Activity of Aminoglycoside-Derived Polycations.

Combinatorial chemistry & high throughput screening Jan 1, 2017
OBJECTIVE: Support Vector Regression (SVR) has become increasingly popular in cheminformatics modeling. As a result, SVR-based machine learning algorithms, including Fuzzy-SVR and Least Square-SVR (LS-SVR) have been developed and applied in various r...
Polyelectrolytes Quantitative Structure-Activity Relationship Polyamines Aminoglycosides Transgenes Machine Learning Software Algorithms Anti-Bacterial Agents Least-Squares Analysis Models, Biological Transfection Humans Cell Line, Tumor Regression Analysis
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[Effect of jianpi-jiedu formula on tumor angiogenesis-relevant genes expression in colorectal cancer].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Dec 28, 2016
To investigate the effect of the jianpi-jiedu formula (JPJD) on the expression of angiogenesis-relevant genes in colon cancer.
 Methods: Crude extract was obtained from JPJD by water extract method. The effect of JPJD crude extract on colon cancer ce...
Integrin alpha Chains Receptors, Urokinase Plasminogen Activator Sphingomyelin Phosphodiesterase Up-Regulation Cathepsin B Signal Transduction Cathepsins Humans Drugs, Chinese Herbal Hypoxia-Inducible Factor 1, alpha Subunit Colorectal Neoplasms Blotting, Western Animals STAT3 Transcription Factor TOR Serine-Threonine Kinases Neovascularization, Pathologic Gene Expression Profiling Vascular Endothelial Growth Factor A Tumor Suppressor Protein p53 Cell Line, Tumor Down-Regulation
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Redox-Responsive Amphipathic Dextran Nanomicelles for Solid Tumor Therapy.

Journal of biomedical nanotechnology Dec 1, 2016
A disulfide bond containing deoxycholic acid-grafted dextran (Dex-SSDCA) was successfully prepared for drug delivery. The Dex-SSDCA polymers can self-assemble into nanomicelles at concentrations below 56 g/mL and encapsulate doxorubicin (DOX) effecti...
Mice Nanoparticles Animals Micelles Mice, Nude Male Xenograft Model Antitumor Assays Antineoplastic Agents Apoptosis MCF-7 Cells Dextrans Cell Line, Tumor Humans Oxidation-Reduction Dithiothreitol Cell Survival Doxorubicin Drug Carriers
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