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Selenoproteins

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Cover of 'Selenoproteins'

Table of Contents

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    Book Overview
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    Chapter 1 SECISearch3 and Seblastian: In-Silico Tools to Predict SECIS Elements and Selenoproteins
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    Chapter 2 Selenoprofiles: A Computational Pipeline for Annotation of Selenoproteins
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    Chapter 3 SelGenAmic: An Algorithm for Selenoprotein Gene Assembly
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    Chapter 4 Selenocysteine tRNA[Ser]Sec, the Central Component of Selenoprotein Biosynthesis: Isolation, Identification, Modification, and Sequencing
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    Chapter 5 Identification and Characterization of Proteins that Bind to Selenoprotein 3′ UTRs
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    Chapter 6 Specific Chemical Approaches for Studying Mammalian Ribosomes Complexed with Ligands Involved in Selenoprotein Synthesis
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    Chapter 7 In Vitro Translation Assays for Selenocysteine Insertion
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    Chapter 8 Studying Selenoprotein mRNA Translation Using RNA-Seq and Ribosome Profiling
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    Chapter 9 Modification of Selenoprotein mRNAs by Cap Tri-methylation
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    Chapter 10 Total Selenium Quantification in Biological Samples by Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
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    Chapter 11 Quantification of SeMet and SeCys in Biological Fluids and Tissues by Liquid Chromatography Coupled to Inductively Coupled Plasma Mass Spectrometry (HPLC-ICP MS)
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    Chapter 12 Simultaneous Speciation of Selenoproteins and Selenometabolites in Plasma and Serum
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    Chapter 13 Radioactive 75 Se Labeling and Detection of Selenoproteins
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    Chapter 14 Nonradioactive Isotopic Labeling and Tracing of Selenoproteins in Cultured Cell Lines
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    Chapter 15 Detection of Selenoproteins by Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP MS) in Immobilized pH Gradient (IPG) Strips
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    Chapter 16 Imaging of Selenium by Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) in 2-D Electrophoresis Gels and Biological Tissues
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    Chapter 17 Overexpression of Recombinant Selenoproteins in E. coli
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    Chapter 18 Preparation of Selenocysteine-Containing Forms of Human SELENOK and SELENOS
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    Chapter 19 Selenocysteine-Mediated Expressed Protein Ligation of SELENOM
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    Chapter 20 Monitoring of Methionine Sulfoxide Content and Methionine Sulfoxide Reductase Activity
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    Chapter 21 Selective Evaluation of Thioredoxin Reductase Enzymatic Activities
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    Chapter 22 Association of Single Nucleotide Polymorphisms in Selenoprotein Genes with Cancer Risk
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    Chapter 23 Identification of Genetic Disorders Causing Disruption of Selenoprotein Biosynthesis
Attention for Chapter 5: Identification and Characterization of Proteins that Bind to Selenoprotein 3′ UTRs
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Chapter title
Identification and Characterization of Proteins that Bind to Selenoprotein 3′ UTRs
Chapter number 5
Book title
Selenoproteins
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7258-6_5
Pubmed ID
Book ISBNs
978-1-4939-7257-9, 978-1-4939-7258-6
Authors

Eric M. Cockman, Donna M. Driscoll

Abstract

This chapter explains the use of RNase-assisted RNA chromatography. RNA affinity chromatography is a powerful technique that is used to isolate and identify proteins that bind to a specific RNA ligand. The RNA of interest is attached to beads before protein lysates are passed over the column. In traditional RNA chromatography, bound proteins are eluted with high salt or harsh detergent, which can also release proteins that are nonspecifically bound to the beads. To avoid this, a new method was developed in which RNases are used to cleave RNA from the beads, releasing only RNA binding proteins (RBPs) and leaving behind proteins that are bound to the beads (Michlewski and Caceres, RNA 16(8):1673-1678, 2010). This chapter will describe the isolation of proteins that bind specifically to the distal region of the Selenoprotein S 3' untranslated region (3' UTR).

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Agricultural and Biological Sciences 1 50%