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Functional Genomics

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Cover of 'Functional Genomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 12: Holistic and Affordable Analyses of MicroRNA Expression Profiles Using Tagged cDNA Libraries and a Multiplex Sequencing Strategy
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Chapter title
Holistic and Affordable Analyses of MicroRNA Expression Profiles Using Tagged cDNA Libraries and a Multiplex Sequencing Strategy
Chapter number 12
Book title
Functional Genomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7231-9_12
Pubmed ID
Book ISBNs
978-1-4939-7230-2, 978-1-4939-7231-9
Authors

Patrick P. Weil, Yan Jaszczyszyn, Anne Baroin-Tourancheau, Jan Postberg, Laurence Amar

Abstract

Small and long noncoding RNAs (ncRNAs) are key regulators of gene expression. Variations in ncRNA expression patterns can consequently affect the control of many cellular processes. Not just since 2006, when Andrew Z Fire and Craig C Mello were jointly awarded The Nobel Prize in Physiology or Medicine for their discovery of RNA interference, great efforts were undertaken to unleash the biomedical applicability of small noncoding RNAs, in particular microRNAs. With the technological evolution of massive parallel sequencing technologies over the last years, which now are available for an increasing number of scientists, there is a demand for comprehensible and efficient workflows reliable even for unique and valuable clinical specimens. Here we describe a highly reproducible low-cost protocol for analyses of miRNA expression patterns using tagged cDNA libraries and a multiplex sequencing strategy following an Illumina-like protocol. This protocol easily allows the identification of expression differences from samples of tissues of 1-2 mm(3) and fluids of 50-200 μL. We further provide entry points into useful computational biology applications, whose target groups explicitly involve non-bioinformaticians.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Other 2 29%
Librarian 1 14%
Student > Doctoral Student 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 3 43%
Agricultural and Biological Sciences 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Unknown 1 14%
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 08 October 2017.
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#22,027,358
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Outputs from Methods in molecular biology
#10,634
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