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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 12: RNA-FISH to Study Regulatory RNA at the Site of Transcription
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Chapter title
RNA-FISH to Study Regulatory RNA at the Site of Transcription
Chapter number 12
Book title
Promoter Associated RNA
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6716-2_12
Pubmed ID
Book ISBNs
978-1-4939-6714-8, 978-1-4939-6716-2
Authors

Marta Soler, Raquel Boque-Sastre, Sonia Guil

Editors

Sara Napoli

Abstract

The increasing role of all types of regulatory RNAs in the orchestration of cellular programs has enhanced the development of a variety of techniques that allow its precise detection, quantification, and functional scrutiny. Recent advances in imaging and fluoresecent in situ hybridization (FISH) methods have enabled the utilization of user-friendly protocols that provide highly sensitive and accurate detection of ribonucleic acid molecules at both the single cell and subcellular levels. We herein describe the approach originally developed by Stellaris(®), in which the target RNA molecule is fluoresecently labeled with multiple tiled complementary probes each carrying a fluorophore, thus improving sensitivity and reducing the chance of false positives. We have applied this method to the detection of nascent RNAs that partake of special regulatory structures called R loops. Their growing role in active gene expression regulation (Aguilera and Garcia-Muse, Mol Cell 46:115-124, 2012; Ginno et al., Mol Cell 45:814-825, 2012; Sun et al., Science 340:619-621, 2013; Bhatia et al., Nature 511:362-365, 2014) imposes the use of a combination of in vivo and in vitro techniques for the detailed analysis of the transcripts involved. Therefore, their study is a good example to illustrate how RNA FISH, combined with transcriptional arrest and/or cell synchronization, permits localization and temporal characterization of potentially regulatory RNA sequences.

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 3 18%
Other 1 6%
Student > Master 1 6%
Student > Bachelor 1 6%
Other 2 12%
Unknown 5 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Agricultural and Biological Sciences 2 12%
Medicine and Dentistry 1 6%
Chemistry 1 6%
Materials Science 1 6%
Other 1 6%
Unknown 6 35%