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Functional Genomics

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Cover of 'Functional Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Predicting RNA Structure with Vfold
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    Chapter 2 RNA Function Prediction
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    Chapter 3 Computational Prediction of Novel miRNAs from Genome-Wide Data
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    Chapter 4 Protein Structure Modeling with MODELLER
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    Chapter 5 Protein Function Prediction
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    Chapter 6 Capturing Three-Dimensional Genome Organization in Individual Cells by Single-Cell Hi-C
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    Chapter 7 Genome-Wide Cell Type-Specific Mapping of In Vivo Chromatin Protein Binding Using an FLP-Inducible DamID System in Drosophila
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    Chapter 8 DNA Methylation Profiling Using Long-Read Single Molecule Real-Time Bisulfite Sequencing (SMRT-BS)
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    Chapter 9 Copy Number Variation Analysis by Droplet Digital PCR
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    Chapter 10 MicroScale Thermophoresis: A Rapid and Precise Method to Quantify Protein–Nucleic Acid Interactions in Solution
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    Chapter 11 Establishment of the CRISPR/Cas9 System for Targeted Gene Disruption and Gene Tagging
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    Chapter 12 Holistic and Affordable Analyses of MicroRNA Expression Profiles Using Tagged cDNA Libraries and a Multiplex Sequencing Strategy
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    Chapter 13 MicroRNA Expression Analysis Using Small RNA Sequencing Discovery and RT-qPCR-Based Validation
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    Chapter 14 Using FirePlex™ Particle Technology for Multiplex MicroRNA Profiling Without RNA Purification
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    Chapter 15 Multiplex Real-Time PCR Using Encoded Microparticles for MicroRNA Profiling
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    Chapter 16 Optimized Whole Transcriptome Profiling of Motor Axons
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    Chapter 17 2D-DIGE in Proteomics
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    Chapter 18 STAGE-Diging in Proteomics
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    Chapter 19 Protein Arrays I: Antibody Arrays
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    Chapter 20 Protein Arrays II: Antigen Arrays
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    Chapter 21 Protein Arrays III: Reverse-Phase Protein Arrays
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    Chapter 22 Isolation of Exosomes for the Purpose of Protein Cargo Analysis with the Use of Mass Spectrometry
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    Chapter 23 Virus-Induced Gene Silencing (VIGS) and Foreign Gene Expression in Pisum sativum L. Using the “One-Step” Bean pod mottle virus (BPMV) Viral Vector
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    Chapter 24 Re-expressing Epigenetically Silenced Genes by Inducing DNA Demethylation Through Targeting of Ten-Eleven Translocation 2 to Any Given Genomic Locus
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    Chapter 25 Knockdown of Rice microRNA166 by Short Tandem Target Mimic (STTM)
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    Chapter 26 RNAi-Mediated Knockdown of Protein Expression
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    Chapter 27 Engineered Zinc Finger DNA-Binding Domains: Synthesis, Assessment of DNA-Binding Affinity, and Direct Protein Delivery to Mammalian Cells
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    Chapter 28 Production, Purification, and Titration of First-Generation Adenovirus Vectors
Attention for Chapter 25: Knockdown of Rice microRNA166 by Short Tandem Target Mimic (STTM)
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Chapter title
Knockdown of Rice microRNA166 by Short Tandem Target Mimic (STTM)
Chapter number 25
Book title
Functional Genomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7231-9_25
Pubmed ID
Book ISBNs
978-1-4939-7230-2, 978-1-4939-7231-9
Authors

Sachin Teotia, Dabing Zhang, Guiliang Tang

Abstract

Small RNAs, including microRNAs (miRNAs), are abundant in plants and play key roles in controlling plant development and physiology. miRNAs regulate the expression of the target genes involved in key plant processes. Due to functional redundancy among miRNA family members in plants, an ideal approach to silence the expression of all members simultaneously, for their functional characterization, is desirable. Target mimic (TM) was the first approach to achieve this goal. Short tandem target mimic (STTM) is a potent approach complementing TM for silencing miRNAs in plants. STTMs have been successfully used in dicots to block miRNA functions. Here, we describe in detail the protocol for designing STTM construct to block miRNA functions in rice. Such approach can be applied to silence miRNAs in other monocots as well.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Doctoral Student 1 11%
Other 1 11%
Student > Master 1 11%
Researcher 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 33%
Biochemistry, Genetics and Molecular Biology 2 22%
Unknown 4 44%