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Drug Target miRNA

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

Table of Contents

  1. Altmetric Badge
    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 14: Drug Target miRNA
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Chapter title
Drug Target miRNA
Chapter number 14
Book title
Drug Target miRNA
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6563-2_14
Pubmed ID
27924484
Book ISBNs
978-1-4939-6561-8, 978-1-4939-6563-2
Authors

Danner, Johannes, Pai, Balagopal, Wankerl, Ludwig, Meister, Gunter, Johannes Danner, Balagopal Pai, Ludwig Wankerl, Gunter Meister

Editors

Marco F. Schmidt

Abstract

MicroRNAs (miRNAs) are a large class of small noncoding RNAs that regulate the expression of distinct target mRNAs. miRNAs are incorporated into Argonaute (AGO) proteins and guide them to their target mRNAs. Subsequently, AGO proteins recruit a member of the glycine-tryptophan-rich (GW) protein family by direct protein-protein interaction. GW proteins coordinate all downstream processes leading to robust and efficient gene silencing. A short peptide of GW proteins comprising the AGO interaction motif can be used to biochemically isolate endogenous AGO protein complexes. Furthermore, within a cell such a peptide competes with endogenous GW proteins for AGO binding and thus can be used as potent inhibitor of the miRNA pathway. Here, we describe a method that utilizes a GW-based polypeptide (T6B-assay) to validate miRNA-mRNA interactions in tissue culture systems.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Neuroscience 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 December 2016.
All research outputs
#14,289,166
of 22,912,409 outputs
Outputs from Methods in molecular biology
#4,204
of 13,131 outputs
Outputs of similar age
#229,359
of 420,471 outputs
Outputs of similar age from Methods in molecular biology
#367
of 1,074 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 420,471 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% 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 has gotten more attention than average, scoring higher than 62% of its contemporaries.

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