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Argonaute Proteins

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Cover of 'Argonaute Proteins'

Table of Contents

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    Book Overview
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    Chapter 1 Cloning and Identification of Recombinant Argonaute-Bound Small RNAs Using Next-Generation Sequencing
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    Chapter 2 Quantification of miRNAs Co-Immunoprecipitated with Argonaute Proteins Using SYBR Green-Based qRT-PCR
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    Chapter 3 Gateway to Understanding Argonaute Loading of Single-Stranded RNAs: Preparation of Deep Sequencing Libraries with In Vitro Loading Samples
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    Chapter 4 Dumbbell-PCR for Discriminative Quantification of a Small RNA Variant
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    Chapter 5 MicroRNA Detection by Whole-Mount In Situ Hybridization in C. elegans
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    Chapter 6 cCLIP-Seq: Retrieval of Chimeric Reads from HITS-CLIP (CLIP-Seq) Libraries
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    Chapter 7 Kinetic Analysis of Small Silencing RNA Production by Human and Drosophila Dicer Enzymes In Vitro
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    Chapter 8 Nucleic Acid-Binding Assay of Argonaute Protein Using Fluorescence Polarization
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    Chapter 9 Reconstitution of RNA Interference Machinery
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    Chapter 10 Single-Molecule Analysis for RISC Assembly and Target Cleavage
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    Chapter 11 Profiling Open Chromatin Structure in the Ovarian Somatic Cells Using ATAC-seq
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    Chapter 12 Assessing miR-451 Activity and Its Role in Erythropoiesis
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    Chapter 13 Functional Analysis of MicroRNAs in Neurogenesis During Mouse Cortical Development
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    Chapter 14 Cellular Approaches in Investigating Argonaute2-Dependent RNA Silencing
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    Chapter 15 Genomic Tagging of AGO1 Using CRISPR/Cas9-Mediated Homologous Recombination
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    Chapter 16 Accurate Profiling and Quantification of tRNA Fragments from RNA-Seq Data: A Vade Mecum for MINTmap
Attention for Chapter 1: Cloning and Identification of Recombinant Argonaute-Bound Small RNAs Using Next-Generation Sequencing
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Chapter title
Cloning and Identification of Recombinant Argonaute-Bound Small RNAs Using Next-Generation Sequencing
Chapter number 1
Book title
Argonaute Proteins
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7339-2_1
Pubmed ID
Book ISBNs
978-1-4939-7338-5, 978-1-4939-7339-2
Authors

Pooja Gangras, Daniel M. Dayeh, Justin W. Mabin, Kotaro Nakanishi, Guramrit Singh

Abstract

Argonaute proteins (AGOs) are loaded with small RNAs as guides to recognize target mRNAs. Since the target specificity heavily depends on the base complementarity between two strands, it is important to identify small guide and long target RNAs bound to AGOs. For this purpose, next-generation sequencing (NGS) technologies have extended our appreciation truly to the nucleotide level. However, the identification of RNAs via NGS from scarce RNA samples remains a challenge. Further, most commercial and published methods are compatible with either small RNAs or long RNAs, but are not equally applicable to both. Therefore, a single method that yields quantitative, bias-free NGS libraries to identify small and long RNAs from low levels of input will be of wide interest. Here, we introduce such a procedure that is based on several modifications of two published protocols and allows robust, sensitive, and reproducible cloning and sequencing of small amounts of RNAs of variable lengths. The method was applied to the identification of small RNAs bound to a purified eukaryotic AGO. Following ligation of a DNA adapter to RNA 3'-end, the key feature of this method is to use the adapter for priming reverse transcription (RT) wherein biotinylated deoxyribonucleotides specifically incorporated into the extended complementary DNA. Such RT products are enriched on streptavidin beads, circularized while immobilized on beads and directly used for PCR amplification. We provide a stepwise guide to generate RNA-Seq libraries, their purification, quantification, validation, and preparation for next-generation sequencing. We also provide basic steps in post-NGS data analyses using Galaxy, an open-source, web-based platform.

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 %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Student > Doctoral Student 1 10%
Other 1 10%
Student > Bachelor 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 50%
Agricultural and Biological Sciences 2 20%
Economics, Econometrics and Finance 1 10%
Unknown 2 20%