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MicroRNA Detection and Target Identification

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Cover of 'MicroRNA Detection and Target Identification'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Detection of miRNAs
  3. Altmetric Badge
    Chapter 2 MicroRNA Identification, Target Prediction, and Validation for Crop Improvement
  4. Altmetric Badge
    Chapter 3 MicroRNA Detection with CRISPR/Cas.
  5. Altmetric Badge
    Chapter 4 Detection of MicroRNAs by Northern Blot
  6. Altmetric Badge
    Chapter 5 MicroRNA Detection at Femtomolar Concentrations with Isothermal Amplification and a Biological Nanopore.
  7. Altmetric Badge
    Chapter 6 Detection of MicroRNA Expression Dynamics Using LNA/DNA Nanobiosensor
  8. Altmetric Badge
    Chapter 7 Programmable Ultrasensitive Molecular Amplifier for Digital and Multiplex MicroRNA Quantification
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    Chapter 8 Small RNA Profiling by Next-Generation Sequencing Using High-Definition Adapters
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    Chapter 9 Quantification of MicroRNAs or Viral RNAs with Microelectrode Sensors Enabled by Electrochemical Signal Amplification
  11. Altmetric Badge
    Chapter 10 Discovery and Evaluation of Extracellular MicroRNA Biomarkers in Plasma, Ascites, and Urine
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    Chapter 11 Determining miRNA Expression Patterns in Xenopus
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    Chapter 12 Overview of Computational and Experimental Methods to Identify Tissue-Specific MicroRNA Targets
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    Chapter 13 sRNAtoolbox: Dockerized Analysis of Small RNA Sequencing Data in Model and Non-model Species
  15. Altmetric Badge
    Chapter 14 MicroRNA–Target Identification: A Combinatorial In Silico Approach
  16. Altmetric Badge
    Chapter 15 An Efficient CRISPR-Cas9 Method to Knock Out MiRNA Expression in Xenopus Tropicalis.
  17. Altmetric Badge
    Chapter 16 Interrogation of Functional miRNA-Target Interactions by CRISPR/Cas9 Genome Engineering
Attention for Chapter 16: Interrogation of Functional miRNA-Target Interactions by CRISPR/Cas9 Genome Engineering
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Chapter title
Interrogation of Functional miRNA-Target Interactions by CRISPR/Cas9 Genome Engineering
Chapter number 16
Book title
MicroRNA Detection and Target Identification
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-2982-6_16
Pubmed ID
Book ISBNs
978-1-07-162981-9, 978-1-07-162982-6
Authors

Wu, Qianxin, Michaels, Yale S., Fulga, Tudor A., Michaels, Yale S, Fulga, Tudor A

Abstract

Posttranscriptional silencing by microRNAs (miRNAs) is a critical constituent of eukaryotic gene regulation. miRNAs are short (~22 nt) noncoding RNAs capable of specifically targeting the miRNA-induced silencing complex (miRISC) to transcripts bearing a complementary miRNA response element (MRE). Although recent methodological advances have greatly improved our understanding of miRNA biogenesis and the mechanisms by which miRNAs repress their cognate targets, exploring the physiological relevance of direct miRNA-target interactions in vivo has remained an outstanding challenge. Here we describe the experimental protocol underlying a novel approach, which allows direct in situ interrogation of specific miRNA-MRE interactions by CRISPR/Cas9-mediated genome engineering (Bassett G et al., Nat Commun 5, 4640, 2014). In this instance, the CRISPR/Cas9 system is first used to catalyze homology-directed replacement of candidate MREs with molecular barcodes at endogenous loci. Subsequently, the effect of MRE mutation on transcript abundance (i.e., MRE activity) can be rapidly evaluated by routine quantitative PCR. This strategy enables functional investigation of a putative miRNA-target pair in a pool of transiently transfected cells, obviating the need for generation of clonal cell lines or transgenic animals. This protocol can be implemented in any cell line in less than 2 weeks and can readily be scaled up for multiplex studies. To facilitate the conceptual workflow underlying this strategy, we also describe a genome-wide resource for automated design and computational evaluation of CRISPR/Cas9 guide RNAs targeting all predicted MREs in various species (miR-CRISPR).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Engineering 1 33%
Unknown 1 33%
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 23 January 2023.
All research outputs
#20,947,537
of 23,578,918 outputs
Outputs from Methods in molecular biology
#10,158
of 13,339 outputs
Outputs of similar age
#348,110
of 439,066 outputs
Outputs of similar age from Methods in molecular biology
#393
of 510 outputs
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