AIMC Topic: MCF-7 Cells

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Effects of targeting highly expressed in cancer protein 1 (Hec1) inhibitor INH 1 in breast cancer cell lines In Vitro.

Cellular and molecular biology (Noisy-le-Grand, France)
In the present study, the in vitro antiproliferative effect of targeting highly expressed cancer protein 1 (Hec1) inhibitor INH1 was investigated in estrogen receptor-positive MCF-7 cell line originating from an in situ carcinoma and triple negative ...

Assessment of the Cytotoxic Activity of Alcoholic Extract of on Breast Cancer Cell Line.

Archives of Razi Institute
The spread of different types of cancer has been on a rise in the recent century. The use of chemical medications develops drug resistance and causes serious side effects. () is one of the most famous herbal remedies considered owing to its anti-inf...

DeepCellState: An autoencoder-based framework for predicting cell type specific transcriptional states induced by drug treatment.

PLoS computational biology
Drug treatment induces cell type specific transcriptional programs, and as the number of combinations of drugs and cell types grows, the cost for exhaustive screens measuring the transcriptional drug response becomes intractable. We developed DeepCel...

celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.

PloS one
Cell death experiments are routinely done in many labs around the world, these experiments are the backbone of many assays for drug development. Cell death detection is usually performed in many ways, and requires time and reagents. However, cell dea...

Prediction of Anticancer Peptides with High Efficacy and Low Toxicity by Hybrid Model Based on 3D Structure of Peptides.

International journal of molecular sciences
Recently, anticancer peptides (ACPs) have emerged as unique and promising therapeutic agents for cancer treatment compared with antibody and small molecule drugs. In addition to experimental methods of ACPs discovery, it is also necessary to develop ...

Exploring photoacoustic spectroscopy-based machine learning together with metabolomics to assess breast tumor progression in a xenograft model ex vivo.

Laboratory investigation; a journal of technical methods and pathology
In the current study, a breast tumor xenograft was established in athymic nude mice by subcutaneous injection of the MCF-7 cell line and assessed the tumor progression by photoacoustic spectroscopy combined with machine learning tools. The advancemen...

Analyzing protein dynamics from fluorescence intensity traces using unsupervised deep learning network.

Communications biology
We propose an unsupervised deep learning network to analyze the dynamics of membrane proteins from the fluorescence intensity traces. This system was trained in an unsupervised manner with the raw experimental time traces and synthesized ones, so nei...

A new diarylhexane and two new diarylpropanols from the roots of .

Natural product research
A new diarylhexane, kneglobularone B () and two new diarylpropanols, kneglobularols A - B () along with seven known compounds () were isolated and characterized from the roots of It is the first time to find arylpropyl quinone () and isoflavone () i...

Photoelectrochemical detection of circulating tumor cells based on aptamer conjugated CuO as signal probe.

Biosensors & bioelectronics
In this work, a sensitive and reliable photoelectrochemical (PEC) biosensor was proposed based on hexagonal carbon nitride tubes (HCNT) as photoactive material for detection of circulating tumor cells (CTCs). Magnetic FeO nanospheres (MNs) and CuO na...

System-level responses to cisplatin in pro-apoptotic stages of breast cancer MCF-7 cell line.

Computational biology and chemistry
Cisplatin ceases cell division and induces apoptosis in cancer cell lines. It is well established that cisplatin alters the expression of many genes involved in several cellular processes and pathways including transcription, p53 signaling pathway, a...