AIMC Topic: Cell Line, Tumor

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Desert actinobacteria as a source of bioactive compounds production with a special emphases on Pyridine-2,5-diacetamide a new pyridine alkaloid produced by Streptomyces sp. DA3-7.

Microbiological research Nov 21, 2017
In the present study, 134 morphologically distinct actinobacteria isolates were obtained from soil samples from 10 different localities in the Saudi Arabian desert. The preliminary screening revealed that 16 of these isolates possessed antimicrobial ...
Cryptococcus neoformans MCF-7 Cells Microbial Sensitivity Tests Streptomyces Enterococcus faecalis Desert Climate Cell Line, Tumor Alkaloids Soil Microbiology Breast Neoplasms Adenocarcinoma Salmonella typhimurium Humans Antineoplastic Agents Escherichia coli Pyridines Saudi Arabia Anti-Infective Agents Female
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Open source machine-learning algorithms for the prediction of optimal cancer drug therapies.

PloS one Oct 26, 2017
Precision medicine is a rapidly growing area of modern medical science and open source machine-learning codes promise to be a critical component for the successful development of standardized and automated analysis of patient data. One important goal...
Humans Machine Learning Algorithms Precision Medicine Neoplasms Antineoplastic Agents Cell Line, Tumor Gene Expression
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Automated Training of Deep Convolutional Neural Networks for Cell Segmentation.

Scientific reports Aug 10, 2017
Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentation tasks. The DCNN performance is however heavily dependent on the availability of large amounts of problem-specific training samples. Here we show t...
Cell Line, Tumor Humans Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning Cytological Techniques Automation, Laboratory Intravital Microscopy
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Drug Target Prediction by Multi-View Low Rank Embedding.

IEEE/ACM transactions on computational biology and bioinformatics May 18, 2017
Drug repositioning has been a key problem in drug development, and heterogeneous data sources are used to predict drug-target interactions by different approaches. However, most of studies focus on a single representation of drugs or proteins. It has...
Cell Line, Tumor Humans Drug Development Models, Statistical Machine Learning Drug Repositioning Algorithms Antineoplastic Agents Transcriptome
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A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma.

BMC genomics Feb 6, 2017
BACKGROUND: We have identified molecules that exhibit synthetic lethality in cells with loss of the neurofibromin 1 (NF1) tumor suppressor gene. However, recognizing tumors that have inactivation of the NF1 tumor suppressor function is challenging be...
Machine Learning Transcriptome Cell Line, Tumor Computational Biology Glioblastoma Gene Silencing Neurofibromin 1 Humans
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Simultaneous delivery of anti-miR21 with doxorubicin prodrug by mimetic lipoprotein nanoparticles for synergistic effect against drug resistance in cancer cells.

International journal of nanomedicine Dec 30, 2016
The development of drug resistance in cancer cells is one of the major obstacles to achieving effective chemotherapy. We hypothesized that the combination of a doxorubicin (Dox) prodrug and microRNA (miR)21 inhibitor might show synergistic antitumor ...
Receptors, Lipoprotein Drug Resistance, Neoplasm Lipoproteins, HDL Nuclear Localization Signals Nanoparticles Mice, Nude Apoptosis MicroRNAs Lipids MCF-7 Cells Female Doxorubicin Prodrugs Animals Antineoplastic Agents Cell Line, Tumor Humans
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Anticancer activity of biologically synthesized silver and gold nanoparticles on mouse myoblast cancer cells and their toxicity against embryonic zebrafish.

Materials science & engineering. C, Materials for biological applications Dec 23, 2016
The aim of this study was to evaluate the anticancer activity of bioinspired silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) against mouse myoblast cancer cells (CC). Both AgNPs and AuNPs were biologically synthesized using Spinacia olera...
Animals Antineoplastic Agents Cell Line, Tumor Mice Staining and Labeling Plant Extracts Photoacoustic Techniques Spinacia oleracea Caspases Myoblasts Toxicity Tests Embryo, Nonmammalian X-Ray Diffraction Apoptosis Gold Acridine Orange Cell Survival Metal Nanoparticles Cell Shape Plant Leaves Ethidium Silver Zebrafish
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Pectic Oligosaccharide from tomato exhibiting anticancer potential on a gastric cancer cell line: Structure-function relationship.

Carbohydrate polymers Dec 20, 2016
Pectic Polysaccharide (PP) from dietary sources has been known to prevent cancer growth and hence impede cancer progression. We evaluated anticancer effect of Pectic-Oligosaccharide isolated from Sour Raw Tomato (SrTPO); its bioavailability and struc...
Humans Stomach Neoplasms Cell Line, Tumor Oligosaccharides Pectins Apoptosis Antineoplastic Agents, Phytogenic Structure-Activity Relationship Solanum lycopersicum
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Enhanced photostability, radical scavenging and antitumor activity of indole-3-carbinol-loaded rose hip oil nanocapsules.

Materials science & engineering. C, Materials for biological applications Dec 14, 2016
This study aimed to develop poly(ε-caprolactone) nanocapsules loaded with indole-3-cabinol (I3C) using rose hip oil (RHO) or medium chain triglycerides (MCT) as oil core. In vitro radical scavenging activity (DPPH method), hemolysis, and antitumor ef...
Photolysis Rosa Materials Testing Solubility Nanocapsules Antineoplastic Agents Free Radical Scavengers Oils, Volatile MCF-7 Cells Cell Line, Tumor Ultraviolet Rays Humans Cell Survival Indoles
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Analysis of bioactive constituents from the leaves of Amorpha fruticosa L.

Journal of food and drug analysis Dec 1, 2016
Amorpha fruticosa L. is a Chinese folk medicine and rich in polyphenols. Fifteen known compounds were isolated and identified from the leaves of A. fruticosa L. They are tephrosin (1), 6a,12a-dehydrodeguelin (2), vitexin (3), afrormosin-7-O-β-d-gluco...
Humans Cell Line, Tumor Plant Extracts Cell Survival Plant Leaves Fabaceae
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