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Enhancer RNAs

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Attention for Chapter 4: UV-RNA Immunoprecipitation (UV-RIP) Protocol in Neurons.
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Chapter title
UV-RNA Immunoprecipitation (UV-RIP) Protocol in Neurons.
Chapter number 4
Book title
Enhancer RNAs
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-4035-6_4
Pubmed ID
Book ISBNs
978-1-4939-4033-2, 978-1-4939-4035-6
Authors

Katie Schaukowitch, Jae-Yeol Joo, Tae-Kyung Kim Ph.D., Tae-Kyung Kim

Editors

Ulf Andersson Ørom

Abstract

With the many advances in genome-wide sequencing, it has been discovered that much more of the genome is transcribed into RNA than previously appreciated. These nonprotein-coding RNAs (ncRNAs) come in many different forms, and they have been shown to have a variety of functions within the cell, influencing processes such as gene expression, mRNA splicing, and transport, just as a few examples. As we delve deeper into studying their mechanisms of action, it becomes important to understand how they play these roles, in particular by understanding what proteins these ncRNAs interact with. This protocol describes one technique that can be used to study this, ultra-violet light cross-linking RNA immunoprecipitation (UV-RIP), which uses an antibody to pull down a specific protein of interest and then detects RNA that is bound to it. This technique utilizes UV light to cross-link the cells, which takes advantage of the fact that UV light will only cross-link proteins and nucleic acids that are directly interacting. This approach can provide key mechanistic insight into the function of these newly identified ncRNAs.

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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 5 50%
Student > Bachelor 2 20%
Student > Ph. D. Student 1 10%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 40%
Computer Science 1 10%
Agricultural and Biological Sciences 1 10%
Neuroscience 1 10%
Unknown 3 30%