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Drug Target miRNA

Overview of attention for book
Cover of 'Drug Target miRNA'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 miRNA Targeting Drugs: The Next Blockbusters?
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    Chapter 2 Functional Analysis of miRNAs Using the DIANA Tools Online Suite.
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    Chapter 3 Non-nucleotide Modification of Anti-miRNA Oligonucleotides.
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    Chapter 4 Quantification of Oligonucleotide Association with miRNA-Argonaute Complexes In Vitro.
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    Chapter 5 Determination of Anti-miR Association with miRNA/Argonaute Complexes In Vivo.
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    Chapter 6 Competitive Argonaute-Based RNA Immunoprecipitation for Investigation of Transcriptomic Response to Anti-miR.
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    Chapter 7 Assessing Anti-miR Pharmacology with miRNA Polysome Shift Assay.
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    Chapter 8 Evaluating Synergistic Effects of miR-34a Mimics in Combination with Other Therapeutic Agents in Cultured Non-Small Cell Lung Cancer Cells.
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    Chapter 9 Assessing the Off-Target Effects of miRNA Inhibitors on Innate Immune Toll-Like Receptors.
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    Chapter 10 Design of Multimodal Small Molecules Targeting miRNAs Biogenesis: Synthesis and In Vitro Evaluation.
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    Chapter 11 Machine Learning Approaches Toward Building Predictive Models for Small Molecule Modulators of miRNA and Its Utility in Virtual Screening of Molecular Databases.
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    Chapter 12 Identification of Small Molecule Modulators of MicroRNA by Library Screening.
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    Chapter 13 Rapid Generation of miRNA Inhibitor Leads by Bioinformatics and Efficient High-Throughput Screening Methods.
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    Chapter 14 Drug Target miRNA
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    Chapter 15 Small Molecules Targeting the miRNA-Binding Domain of Argonaute 2: From Computer-Aided Molecular Design to RNA Immunoprecipitation.
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    Chapter 16 Surface Plasmon Resonance: A Useful Strategy for the Identification of Small Molecule Argonaute 2 Protein Binders.
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    Chapter 17 Antagonists of the miRNA-Argonaute 2 Protein Complex: Anti-miR-AGOs.
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    Chapter 18 Elucidating Mechanisms of Molecular Recognition Between Human Argonaute and miRNA Using Computational Approaches.
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    Chapter 19 Kinetic Analysis of Target RNA Binding and Slicing by Human Argonaute 2 Protein.
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    Chapter 20 Site-Specific Fluorescent Labeling of Argonaute for FRET-Based Bio-Assays.
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    Chapter 21 Single-Molecule Fluorescence Energy Transfer Assays for the Characterization of Reaction Pathways of miRNA-Argonaute Complex.
Attention for Chapter 13: Rapid Generation of miRNA Inhibitor Leads by Bioinformatics and Efficient High-Throughput Screening Methods.
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Chapter title
Rapid Generation of miRNA Inhibitor Leads by Bioinformatics and Efficient High-Throughput Screening Methods.
Chapter number 13
Book title
Drug Target miRNA
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6563-2_13
Pubmed ID
Book ISBNs
978-1-4939-6561-8, 978-1-4939-6563-2
Authors

Christopher L. Haga, Sai Pradeep Velagapudi, Jessica L. Childs-Disney, Jacqueline Strivelli, Matthew D. Disney Ph.D., Donald G. Phinney Ph.D., Haga, Christopher L., Velagapudi, Sai Pradeep, Childs-Disney, Jessica L., Strivelli, Jacqueline, Disney, Matthew D., Phinney, Donald G., Matthew D. Disney, Donald G. Phinney

Editors

Marco F. Schmidt

Abstract

The discovery of microRNAs (miRNAs) has opened an entire new avenue for drug development. These short (15-22 nucleotides) noncoding RNAs, which function in RNA silencing and posttranscriptional regulation of gene expression, have been shown to critically affect numerous pathways in both development and disease progression. Current miRNA drug development focuses on either reintroducing the miRNA into cells through the use of a miRNA mimic or inhibiting its function via use of a synthetic antagomir. Although these methods have shown some success as therapeutics, they face challenges particularly with regard to cellular uptake and for use as systemic reagents. We recently presented a novel mechanism of inhibiting miR-544 by directed inhibition of miRNA biogenesis. We found that inhibition of DICER processing of miR-544 through the use of a small molecule abolished miR-544 function in regulating adaptation of breast cancer cells to hypoxic stress. Herein, we describe a protocol that utilizes bioinformatics to first identify lead small molecules that bind to DICER cleavage sites in pre-miRNAs and then employ an efficient, high-throughput fluorescent-based screening system to determine the inhibitory potential of the lead compounds and their derivatives.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Unspecified 1 10%
Professor 1 10%
Student > Bachelor 1 10%
Researcher 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 2 20%
Agricultural and Biological Sciences 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Immunology and Microbiology 1 10%
Chemistry 1 10%
Other 0 0%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2017.
All research outputs
#17,855,900
of 22,931,367 outputs
Outputs from Methods in molecular biology
#7,250
of 13,127 outputs
Outputs of similar age
#293,726
of 420,713 outputs
Outputs of similar age from Methods in molecular biology
#639
of 1,074 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.