Titlebook: Drug Target miRNA; Methods and Protocol Marco F. Schmidt Book 2017 Springer Science+Business Media, LLC, part of Springer Nature 2017 drug

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Competitive Argonaute-Based RNA Immunoprecipitation for Investigation of Transcriptomic Response to have in healthy and diseased cells. From a practical standpoint, validated target genes are also useful for monitoring pharmacological activity of developmental therapeutics that modulate miRNAs, such as anti-miRNA oligonucleotides (anti-miR). Here, we describe a method that uses changes in Argonaut

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Assessing Anti-miR Pharmacology with miRNA Polysome Shift Assay Shift Assay enables measurement of anti-miR drug target engagement (i.e. extent of miRNA inhibition) without the need to pre-identify or pre-validate downstream miRNA-regulated genes. This makes it useful for assessing anti-miR activity in target tissues or cells where biology of the inhibited miRN

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Evaluating Synergistic Effects of miR-34a Mimics in Combination with Other Therapeutic Agents in Culle oncogenic pathways and, therefore, provide a strong rationale for developing therapeutic miRNA mimics in combination with other therapeutic cancer agents to augment drug sensitivity. Here, we describe the experimental approach for evaluating miRNA and drug combinations using the “fixed ratio” met

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Assessing the Off-Target Effects of miRNA Inhibitors on Innate Immune Toll-Like Receptorspresent novel therapeutic opportunities. Currently, in vivo delivery of AMOs often relies on high doses of nucleic acids, with nonspecific uptake by most tissues. Critically, AMOs accumulate in phagocytic cells where they can interfere with immune functions, such as the activation of Toll-Like Recep

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Design of Multimodal Small Molecules Targeting miRNAs Biogenesis: Synthesis and In Vitro Evaluationtext, the discovery of small-molecule drugs targeting specific miRNAs and modulating their production or function represents a very promising approach that could be further developed for targeted therapy in miRNA-related pathologies. Here, we describe the design of multimodal small molecules as RNA

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Machine Learning Approaches Toward Building Predictive Models for Small Molecule Modulators of miRNAng small molecules offer an attractive means for modulating miRNA function. The availability of bioassay data sets for a variety of biological assays and molecules in public domain provides a new opportunity toward utilizing them to create models and further utilize them for in silico virtual screen

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Identification of Small Molecule Modulators of MicroRNA by Library Screening for cancer. Small molecules that could modulate the expression of miRNAs would thus have potential as anticancer agents. Library screening of small molecules targeting miRNAs is a useful technology platform for anticancer drug development. Here, we describe a hepatocellular carcinoma (HCC) cell-bas

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