AIMC Topic: Gene Knockdown Techniques

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Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer.

Oncotarget Apr 18, 2017
We demonstrate that model-based unsupervised learning can uniquely discriminate single-cell subpopulations by their gene expression distributions, which in turn allow us to identify specific genes for focused functional studies. This method was appli...
Humans Female Breast Neoplasms Gene Expression Profiling Cell Line, Tumor Computational Biology Gene Expression Regulation, Neoplastic Signal Transduction Cell Movement Cluster Analysis Unsupervised Machine Learning AMP-Activated Protein Kinases Metformin Gene Knockdown Techniques cdc42 GTP-Binding Protein
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A Dual Targeting Drug Delivery System for Penetrating Blood-Brain Barrier and Selectively Delivering siRNA to Neurons for Alzheimer's Disease Treatment.

Current pharmaceutical biotechnology Jan 1, 2017
BACKGROUND: Alzheimer's disease (AD) is one of most serious threats to human beings, however, the treatment is hindered by blood-brain barrier and poor intra-brain cell selectivity.
Humans Blood-Brain Barrier Drug Delivery Systems Animals Nanoparticles Rats Mice, Nude Drug Carriers RNA, Small Interfering Neurons Alzheimer Disease Permeability Amyloid Precursor Protein Secretases Aspartic Acid Endopeptidases Molecular Targeted Therapy PC12 Cells Gene Knockdown Techniques
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