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A549 Cells

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Potential Anticancer Activity of the Parasol Mushroom, Macrolepiota procera (Agaricomycetes), against the A549 Human Lung Cancer Cell Line.

International journal of medicinal mushrooms
Mushrooms comprise an unlimited source of active compounds that have beneficial health effects without known negative side effects and can potentially be used as important therapeutic products against cancer, which is the leading cause of death world...

[Effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells and the underlying mechanisms].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
To investigate the effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells.
 Methods: First, A549 cells were divided into a control group and a low, medium or high dose of Brucea javan...

A new method using machine learning for automated image analysis applied to chip-based digital assays.

The Analyst
Chip-based digital assays such as the digital polymerase chain reaction (digital PCR), digital loop-mediated amplification (digital LAMP), digital enzyme-linked immunosorbent assay (digital ELISA) and digital proximity ligation assay (digital PLA) ne...

Morphology-based classification of mycobacteria-infected macrophages with convolutional neural network: reveal EsxA-induced morphologic changes indistinguishable by naked eyes.

Translational research : the journal of laboratory and clinical medicine
EsxA is an essential virulence factor for Mycobacterium tuberculosis (Mtb) pathogenesis as well as an important biomarker for Mtb detection. In this study, we use light microscopy and deep learning-based image analysis to classify the morphologic cha...

Cloisite Microrobots as Self-Propelling Cleaners for Fast and Efficient Removal of Improvised Organophosphate Nerve Agents.

ACS applied materials & interfaces
Naturally available microclays are well-known materials with great adsorption capabilities that are available in nature in megatons quantities. On the contrary, artificial nanostructures are often available at high cost via precision manufacturing. S...

A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction.

PloS one
BACKGROUND: COVID-19 is a critical pandemic that has affected human communities worldwide, and there is an urgent need to develop effective drugs. Although there are a large number of candidate drug compounds that may be useful for treating COVID-19,...

scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles.

Genome biology
Simultaneous measurements of transcriptomic and epigenomic profiles in the same individual cells provide an unprecedented opportunity to understand cell fates. However, effective approaches for the integrative analysis of such data are lacking. Here,...

Identification of novel CDK2 inhibitors by a multistage virtual screening method based on SVM, pharmacophore and docking model.

Journal of enzyme inhibition and medicinal chemistry
Cyclin-dependent kinase 2 (CDK2) is the family of Ser/Thr protein kinases that has emerged as a highly selective with low toxic cancer therapy target. A multistage virtual screening method combined by SVM, protein-ligand interaction fingerprints (PLI...

HSM6AP: a high-precision predictor for the Homo N6-methyladenosine (m^6 A) based on multiple weights and feature stitching.

RNA biology
Recent studies have shown that RNA methylation modification can affect RNA transcription, metabolism, splicing and stability. In addition, RNA methylation modification has been associated with cancer, obesity and other diseases. Based on information ...

Locating transcription factor binding sites by fully convolutional neural network.

Briefings in bioinformatics
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...