AIMC Topic: MCF-7 Cells

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Dissecting Exosomal-Tumoral-Vascular Interactions of Single Tumor Cells and Clusters Using a Tumoral-Transendothelial Migration Chip.

ACS nano Jul 8, 2025
The complex interplay between tumor cells and clusters with endothelial tissues during metastasis, in particular with regard to the exosomes in mediating intercellular communication, is still not well understood. Here, we develop a tumoral-transendot...
Machine Learning Female Breast Neoplasms Tumor Microenvironment Humans Exosomes Cell Communication Lab-On-A-Chip Devices Transendothelial and Transepithelial Migration Cell Line, Tumor MCF-7 Cells Epithelial-Mesenchymal Transition
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Scientific hypothesis generation by large language models: laboratory validation in breast cancer treatment.

Journal of the Royal Society, Interface Jun 1, 2025
Large language models (LLMs) have transformed artificial intelligence (AI) and achieved breakthrough performance on a wide range of tasks. In science, the most interesting application of LLMs is for hypothesis formation. A feature of LLMs, which resu...
Models, Biological Large Language Models Humans Artificial Intelligence Female Breast Neoplasms MCF-7 Cells
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Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics.

Bioinformatics (Oxford, England) Dec 22, 2021
MOTIVATION: Motions of transmembrane receptors on cancer cell surfaces can reveal biophysical features of the cancer cells, thus providing a method for characterizing cancer cell phenotypes. While conventional analysis of receptor motions in the cell...
Epithelial-Mesenchymal Transition ErbB Receptors Breast Neoplasms Humans Deep Learning Female Cell Line, Tumor MCF-7 Cells
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A sequence-based deep learning approach to predict CTCF-mediated chromatin loop.

Briefings in bioinformatics Sep 2, 2021
Three-dimensional (3D) architecture of the chromosomes is of crucial importance for transcription regulation and DNA replication. Various high-throughput chromosome conformation capture-based methods have revealed that CTCF-mediated chromatin loops a...
Chromatin CCCTC-Binding Factor Molecular Conformation K562 Cells Nucleotide Motifs Humans Neural Networks, Computer Software MCF-7 Cells Datasets as Topic Gene Expression Regulation Genome, Human
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Locating transcription factor binding sites by fully convolutional neural network.

Briefings in bioinformatics Sep 2, 2021
Transcription factors (TFs) play an important role in regulating gene expression, thus identification of the regions bound by them has become a fundamental step for molecular and cellular biology. In recent years, an increasing number of deep learnin...
Humans Neural Networks, Computer A549 Cells Amino Acid Motifs Sequence Analysis, Protein Response Elements Transcription Factors Sequence Analysis, DNA MCF-7 Cells Chromatin Immunoprecipitation Sequencing
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Volatile constituents and in vitro activity of Syzygium aromaticum flower buds (clove) against human cancer cell lines.

Pakistan journal of pharmaceutical sciences Nov 1, 2020
The methanolic extract (SA-EXT) of Syzygium aromaticum flower buds and its fractions tested against three human cancer cell lines viz uterine cervix (HeLa), breast (MCF-7) and lung NCI (H-460) using sulforhodamine-B assay. The ethyl acetate soluble s...
Gas Chromatography-Mass Spectrometry Drug Screening Assays, Antitumor Flowers MCF-7 Cells Humans Syzygium Methanol Cell Line, Tumor Volatile Organic Compounds HeLa Cells Acetates Antineoplastic Agents, Phytogenic Eugenol
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Investigation of the biochemical and apoptotic changes in breast cancer cells treated with leaf extract from tea (Camellia sinensis L.) grown with added boric acid.

Pakistan journal of pharmaceutical sciences Sep 1, 2020
Tea obtained from the leaves of Camellia sinensis L., a medicinal plant, is a widely popular beverage. Deficiency in boron, a micronutrient for C. sinensis, affects the growth as well as the quality of tea. The aim of this study was to explore whethe...
Antioxidants Plant Extracts Cell Proliferation Apoptosis Female Breast Neoplasms Oxidative Stress MCF-7 Cells Boric Acids Antineoplastic Agents, Phytogenic Plant Leaves Camellia sinensis Humans
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Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging.

Journal of biomedical optics Feb 1, 2020
SIGNIFICANCE: We introduce an application of machine learning trained on optical phase features of epithelial and mesenchymal cells to grade cancer cells' morphologies, relevant to evaluation of cancer phenotype in screening assays and clinical biops...
MCF-7 Cells Mesenchymal Stem Cells Holography Gingiva Breast Neoplasms Fibroblasts Epithelial Cells Humans Machine Learning Algorithms Female
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Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.

Cell Dec 12, 2019
Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therapeutic antibodies within the entire body has long been needed to better understand and treat cancer metastasis. Here, we developed an integrated pipelin...
Humans Software Tumor Microenvironment Animals Neoplasms Neoplasm Metastasis Mice, SCID Drug Therapy, Computer-Assisted Mice, Nude Mice, Inbred C57BL Diagnosis, Computer-Assisted MCF-7 Cells Deep Learning Antibodies Mice
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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...
K562 Cells Drug Therapy Cell Line, Tumor Drug Screening Assays, Antitumor MCF-7 Cells High-Throughput Screening Assays Machine Learning Reproducibility of Results Antineoplastic Agents Humans Neural Networks, Computer
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