AIMC Topic: HeLa Cells

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Digging deep into Golgi phenotypic diversity with unsupervised machine learning.

Molecular biology of the cell Oct 11, 2017
The synthesis of glycans and the sorting of proteins are critical functions of the Golgi apparatus and depend on its highly complex and compartmentalized architecture. High-content image analysis coupled to RNA interference screening offers opportuni...
Humans Polysaccharides HeLa Cells High-Throughput Screening Assays Golgi Apparatus RNA Interference Phenotype Reproducibility of Results Unsupervised Machine Learning RNA, Small Interfering
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Phase contrast cell detection using multilevel classification.

International journal for numerical methods in biomedical engineering Aug 23, 2017
In this paper, we propose a fully automated learning-based approach for detecting cells in time-lapse phase contrast images. The proposed system combines 2 machine learning approaches to achieve bottom-up image segmentation. We apply pixel-wise class...
Automation NIH 3T3 Cells Microscopy, Phase-Contrast Time-Lapse Imaging Mice Cell Line HeLa Cells Image Interpretation, Computer-Assisted Humans Machine Learning Animals
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Design, preparation and characterization of pH-responsive prodrug micelles with hydrolyzable anhydride linkages for controlled drug delivery.

Journal of colloid and interface science Dec 31, 2016
We report a new prodrug micelle-based approach in which a model hydrophobic non-steroidal anti-inflammatory drug (NSAID), ibuprofen (Ibu), is tethered to amphiphilic methoxy polyethylene glycol-polypropylene fumarate (mPEG-PPF) diblock copolymer via ...
Solubility Drug Liberation Micelles Prodrugs HeLa Cells Hydrophobic and Hydrophilic Interactions Humans Polypropylenes Surface Properties Animals Anhydrides Ibuprofen Nanoparticles Rabbits Fumarates Hydrogen-Ion Concentration Cell Line Polyethylene Glycols Cell Survival Hydrolysis Drug Carriers Anti-Inflammatory Agents, Non-Steroidal
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Sensitive fluorescent detection of DNA methyltransferase using nicking endonuclease-mediated multiple primers-like rolling circle amplification.

Biosensors & bioelectronics Dec 30, 2016
Sensitive and reliable detection of DNA methyltransferase (MTase) is of great significance for both early tumor diagnosis and therapy. In this study, a simple, label-free and sensitive DNA MTase-sensing method was developed on the basis of a nicking ...
Humans DNA Primers Biosensing Techniques Nucleic Acid Amplification Techniques DNA-Cytosine Methylases DNA (Cytosine-5-)-Methyltransferases Endonucleases HEK293 Cells MCF-7 Cells DNA (Cytosine-5-)-Methyltransferase 1 DNA Enzyme Assays Spectrometry, Fluorescence G-Quadruplexes HeLa Cells
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Synthesis of Water-Soluble Imidazolium Polyesters as Potential Nonviral Gene Delivery Vehicles.

Biomacromolecules Dec 8, 2016
The inherent hydrolytic reactivity of polyesters renders them excellent candidates for a variety of biomedical applications. Incorporating ionic groups further expands their potential impact, encompassing charge-dependent function such as deoxyribonu...
Transfection HeLa Cells Solvents Polyesters Gene Transfer Techniques Cell Survival Imidazoles Luciferases Hydrolysis Solubility Humans Water
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Graphene oxide as a nanocarrier for controlled release and targeted delivery of an anticancer active agent, chlorogenic acid.

Materials science & engineering. C, Materials for biological applications Dec 5, 2016
We have synthesized graphene oxide using improved Hummer's method in order to explore the potential use of the resulting graphene oxide as a nanocarrier for an active anticancer agent, chlorogenic acid (CA). The synthesized graphene oxide and chlorog...
Hydrogen-Ion Concentration Nanocomposites Humans Drug Liberation Antineoplastic Agents HeLa Cells Spectrum Analysis, Raman Graphite Spectroscopy, Fourier Transform Infrared Hep G2 Cells Cell Survival A549 Cells Oxides Microscopy, Electron, Transmission Chlorogenic Acid Thermogravimetry X-Ray Diffraction Delayed-Action Preparations Hydrogen Bonding
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PHENOLIC PROFILE OF L. GROWING IN EGYPT AND ITS CYTOTOXIC AND ANTIVIRAL ACTIVITIES.

African journal of traditional, complementary, and alternative medicines : AJTCAM Sep 29, 2016
BACKGROUND: L (Asteraceae), is one of the most attractive plants growing wildly in Sinai, and is not well investigated for its phytochemical constituents. This study represents the first in-depth characterization of the phenolic profile of the aeria...
Antineoplastic Agents, Phytogenic Humans Tandem Mass Spectrometry Phenols Antiviral Agents HeLa Cells MCF-7 Cells Plant Extracts HCT116 Cells Egypt Hep G2 Cells Plant Components, Aerial Centaurea
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Exploiting non-linear relationships between retention time and molecular structure of peptides originating from proteomes and comparing three multivariate approaches.

Journal of pharmaceutical and biomedical analysis Jan 27, 2016
Peptides' retention time prediction is gaining increasing popularity in liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomics. This is a promising approach for improving successful proteome mapping, useful both in identification ...
Models, Chemical Bacterial Proteins Tandem Mass Spectrometry HeLa Cells Quantitative Structure-Activity Relationship Protein Conformation Artificial Intelligence Peptides Proteome Bacillus subtilis Chromatography, Liquid Humans
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Antileishmanial activity of novel indolyl-coumarin hybrids: Design, synthesis, biological evaluation, molecular docking study and in silico ADME prediction.

Bioorganic & medicinal chemistry letters Dec 24, 2015
In present work we have designed and synthesized total twelve novel 3-(3-(1H-indol-3-yl)-3-phenylpropanoyl)-4-hydroxy-2H-chromen-2-one derivatives 13(a-l) using Ho(3+) doped CoFe2O4 nanoparticles as catalyst and evaluated for their potential antileis...
Protozoan Proteins Coumarins Binding Sites Leishmania Oxidoreductases HeLa Cells Inhibitory Concentration 50 Enzyme Inhibitors Antiprotozoal Agents Protein Structure, Tertiary Humans Molecular Docking Simulation Drug Design Antioxidants Cell Survival Structure-Activity Relationship
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Building cell models and simulations from microscope images.

Methods (San Diego, Calif.) Oct 17, 2015
The use of fluorescence microscopy has undergone a major revolution over the past twenty years, both with the development of dramatic new technologies and with the widespread adoption of image analysis and machine learning methods. Many open source s...
Computer Simulation Image Processing, Computer-Assisted Computational Biology Microscopy, Fluorescence Models, Biological Humans Machine Learning Software HeLa Cells Pattern Recognition, Automated Cell Shape
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