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Promoter Associated RNA

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Cover of 'Promoter Associated RNA'

Table of Contents

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    Book Overview
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    Chapter 1 ChIP-seq for the Identification of Functional Elements in the Human Genome
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    Chapter 2 Identification of Candidate Functional Elements in the Genome from ChIP-seq Data
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    Chapter 3 GRO-seq, A Tool for Identification of Transcripts Regulating Gene Expression
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    Chapter 4 NanoCAGE: A Method for the Analysis of Coding and Noncoding 5′-Capped Transcriptomes
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    Chapter 5 Deep Cap Analysis of Gene Expression (CAGE): Genome-Wide Identification of Promoters, Quantification of Their Activity, and Transcriptional Network Inference
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    Chapter 6 Deep-RACE: Comprehensive Search for Novel ncRNAs Associated to a Specific Locus
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    Chapter 7 In Silico Prediction of RNA Secondary Structure
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    Chapter 8 Computational Prediction of RNA-Protein Interactions
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    Chapter 9 Isolation of Nuclear RNA-Associated Protein Complexes
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    Chapter 10 Identification of Long Noncoding RNAs Associated to Human Disease Susceptibility
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    Chapter 11 Targeting Promoter-Associated RNAs by siRNAs
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    Chapter 12 RNA-FISH to Study Regulatory RNA at the Site of Transcription
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    Chapter 13 Detection and Characterization of R Loop Structures
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    Chapter 14 Induction of Transcriptional Gene Silencing by Expression of shRNA Directed to c-Myc P2 Promoter in Hepatocellular Carcinoma by Tissue-Specific Virosomal Delivery
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    Chapter 15 Targeting Promoter-Associated Noncoding RNA In Vivo
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    Chapter 16 Manipulation of Promoter-Associated Noncoding RNAs in Mouse Early Embryos for Controlling Sequence-Specific Epigenetic Status
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    Chapter 17 Erratum to: NanoCAGE: A Method for the Analysis of Coding and Noncoding 5′-Capped Transcriptomes
Attention for Chapter 7: In Silico Prediction of RNA Secondary Structure
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Chapter title
In Silico Prediction of RNA Secondary Structure
Chapter number 7
Book title
Promoter Associated RNA
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6716-2_7
Pubmed ID
28349425
Book ISBNs
978-1-4939-6714-8, 978-1-4939-6716-2
Authors

Fariza Tahi, Van Du T. Tran, Anouar Boucheham

Editors

Sara Napoli

Abstract

The secondary structure of an RNA molecule represents the base-pairing interactions within the molecule and fundamentally determines its overall structure. In this chapter, we overview the main approaches and existing tools for predicting RNA secondary structures, as well as methods for identifying noncoding RNAs from genomic sequences or RNA sequencing data. We then focus on the identification of a well-known class of small noncoding RNAs, namely microRNAs, which play very important roles in many biological processes through regulating post-transcriptionally the expression of genes and which dysregulation has been shown to be involved in several human diseases.

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Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 23%
Student > Master 5 23%
Researcher 3 14%
Student > Ph. D. Student 3 14%
Other 2 9%
Other 2 9%
Unknown 2 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 45%
Agricultural and Biological Sciences 5 23%
Pharmacology, Toxicology and Pharmaceutical Science 3 14%
Chemistry 2 9%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 1 5%

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