AIMC Topic: MCF-7 Cells

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Phytochemical analysis and evaluation of the antioxidant and antiproliferative effects of Tucumã oil nanocapsules in breast adenocarcinoma cells (MCF-7).

Natural product research
In this work was to develop an inedited nanocapsule with tucumã oil (). The oil presents of phytosterols (squalene and β-sitosterol), --beta-carotene, acids oleic and palmitic. Antioxidant activity showed a good performance in DPPH and ABTS assays. T...

The optoelectronic microrobot: A versatile toolbox for micromanipulation.

Proceedings of the National Academy of Sciences of the United States of America
Microrobotics extends the reach of human-controlled machines to submillimeter dimensions. We introduce a microrobot that relies on optoelectronic tweezers (OET) that is straightforward to manufacture, can take nearly any desirable shape or form, and ...

An Intelligent DNA Nanorobot with Enhanced Protein Lysosomal Degradation of HER2.

Nano letters
DNA nanorobots have emerged as new tools for nanomedicine with the potential to ameliorate the delivery and anticancer efficacy of various drugs. DNA nanostructures have been considered one of the most promising nanocarriers. In the present study, we...

Equivalent circuit models for a biomembrane impedance sensor and analysis of electrochemical impedance spectra based on support vector regression.

Medical & biological engineering & computing
In this study, an electrochemical impedance biosensor was developed as a simple and fast method for real-time monitoring of biofilm binding properties via continuous impedance spectroscopy. To prepare the sensing membrane, cells were immobilized onto...

Convolutional neural network for cell classification using microscope images of intracellular actin networks.

PloS one
Automated cell classification is an important yet a challenging computer vision task with significant benefits to biomedicine. In recent years, there have been several studies attempted to build an artificial intelligence-based cell classifier using ...

Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes.

SLAS discovery : advancing life sciences R & D
The quantification and identification of cellular phenotypes from high-content microscopy images has proven to be very useful for understanding biological activity in response to different drug treatments. The traditional approach has been to use cla...

Multifunctional luminescent immuno-magnetic nanoparticles: toward fast, efficient, cell-friendly capture and recovery of circulating tumor cells.

Journal of materials chemistry. B
Highly efficient isolation and recovery of viable circulating tumor cells (CTCs) from the blood of patients is an important precondition to address the current dilemma of insufficient CTC studies, and can promote the development of individualized ant...

Designing Anticancer Peptides by Constructive Machine Learning.

ChemMedChem
Constructive (generative) machine learning enables the automated generation of novel chemical structures without the need for explicit molecular design rules. This study presents the experimental application of such a deep machine learning model to d...

Autonomous Magnetic Microrobots by Navigating Gates for Multiple Biomolecules Delivery.

Small (Weinheim an der Bergstrasse, Germany)
The precise delivery of biofunctionalized matters is of great interest from the fundamental and applied viewpoints. In spite of significant progress achieved during the last decade, a parallel and automated isolation and manipulation of rare analyte,...

Chromosome-wide gene dosage rebalance may benefit tumor progression.

Molecular genetics and genomics : MGG
The high-risk of tumor initiation in patients with Turner syndrome (TS) characterized by X chromosome monosomy in women has been well established and aneuploidy, defined as an abnormal number of chromosomes, is a common feature in human cancer. Howev...