AIMC Topic: MCF-7 Cells
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Betulin-loaded PEDOT films for regional chemotherapy.
Materials science & engineering. C, Materials for biological applications
Dec 28, 2016
Chemotherapy is one of the most commonly used cancer treatments. Even so, it has significant adverse effects on healthy tissues. These effects can be avoided through the use of regional chemotherapy, an approach based on delivering the anti-cancer ag...
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...
Concurrent study of stability and cytotoxicity of a novel nanoemulsion system - an artificial neural networks approach.
Pharmaceutical development and technology
Oct 25, 2016
Problems commonly associated with using nanoemulsions are their cytotoxic effects and low stability profiles. Here, for the first time, concentrations of ingredients of a nanoemulsion system were investigated to obtain the most stable nanoemulsion sy...
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...
Label-free and dynamic evaluation of cell-surface epidermal growth factor receptor expression via an electrochemiluminescence cytosensor.
Talanta
Dec 18, 2015
A label-free electrochemiluminescence (ECL) cytosensor was developed for dynamically evaluating of epidermal growth factor receptor (EGFR) expression on MCF-7 cancer cells based on the specific recognition of epidermal growth factor (EGF) with its re...
Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner.
BMC medical genomics
Dec 18, 2015
BACKGROUND: Phenotype-based high-throughput screening is a useful technique for identifying drug candidate compounds that have a desired phenotype. However, the molecular mechanisms of the hit compounds remain unknown, and substantial effort is requi...
Inferring Association between Compound and Pathway with an Improved Ensemble Learning Method.
Molecular informatics
Aug 6, 2015
Emergence of compound molecular data coupled to pathway information offers the possibility of using machine learning methods for compound-pathway associations' inference. To provide insights into the global relationship between compounds and their af...
Cytotoxic response of platinum-coated gold nanorods in human breast cancer cells at very low exposure levels.
Environmental toxicology
Apr 6, 2015
Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application in biomedical field such as bio-sensing, bio-imaging and hyperthermia. However, toxicological response of GNRs is controversial due to their differen...
Humans
Female
Breast Neoplasms
Real-Time Polymerase Chain Reaction
RNA, Messenger
Apoptosis
Down-Regulation
Gold
Up-Regulation
Caspase 9
Membrane Potential, Mitochondrial
Reactive Oxygen Species
Nanotubes
G1 Phase Cell Cycle Checkpoints
Caspase 3
Platinum
Acetylcysteine
Particle Size
Proto-Oncogene Proteins c-bcl-2
MCF-7 Cells
Incorporating time as a third dimension in transcriptomic analysis using machine learning and explainable AI.
Computational biology and chemistry
Aug 1, 2025
Transcriptomic data analysis entails the measurement of RNA transcript (gene expression products) abundance in a cell or a cell population at a single point in time. In other words, transcriptomics as it is currently practiced is two-dimensional (2DT...
Droplet microfluidics integrated with machine learning reveals how adipose-derived stem cells modulate endocrine response and tumor heterogeneity in ER breast cancer.
Lab on a chip
Jul 23, 2025
Approximately 70% of breast cancer (BC) diagnoses are estrogen receptor positive (ER) with ∼40% of ER BC patients presenting resistance to endocrine therapy (ET). Recent studies identify the tumor microenvironment (TME) as having a key role in endoc...
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