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Selenoproteins

Overview of attention for book
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 3: SelGenAmic: An Algorithm for Selenoprotein Gene Assembly
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Chapter title
SelGenAmic: An Algorithm for Selenoprotein Gene Assembly
Chapter number 3
Book title
Selenoproteins
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7258-6_3
Pubmed ID
Book ISBNs
978-1-4939-7257-9, 978-1-4939-7258-6
Authors

Liang Jiang, Qiong Liu

Abstract

Computational methods for identifying selenoproteins have been developed rapidly in recent years. However, it is still difficult to identify the open reading frame (ORF) of eukaryotic selenoprotein gene, because the TGA codon for a selenocysteine (Sec) residue in the active center of selenoprotein is traditionally a terminal signal of protein translation. A gene assembly algorithm SelGenAmic has been constructed and presented in this chapter for identifying selenoprotein genes from eukaryotic genomes. A method based on this algorithm was developed to build an optimal TGA-containing-ORF for each TGA in a genome, followed by protein similarity analysis through conserved sequence alignments to screen out selenoprotein genes from these ORFs. This method improved the sensitivity of detecting selenoproteins from a genome due to the design that all TGAs in the genome were investigated for its possibility of decoding as a Sec residue. The method based on the SelGenAmic algorithm is capable of identifying eukaryotic selenoprotein genes from their genomes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
Student > Postgraduate 2 29%
Student > Master 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 57%
Environmental Science 1 14%
Agricultural and Biological Sciences 1 14%
Unknown 1 14%

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 22 May 2018.
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#11,534,622
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#6,002
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#228,561
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Outputs of similar age from Methods in molecular biology
#1
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