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Noncanonical Amino Acids

Overview of attention for book
Cover of 'Noncanonical Amino Acids'

Table of Contents

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    Book Overview
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    Chapter 1 Leveraging Formylglycine-Generating Enzyme for Production of Site-Specifically Modified Bioconjugates
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    Chapter 2 Artificial Division of Codon Boxes for Expansion of the Amino Acid Repertoire of Ribosomal Polypeptide Synthesis
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    Chapter 3 Cell-Free Protein Synthesis for Multiple Site-Specific Incorporation of Noncanonical Amino Acids Using Cell Extracts from RF-1 Deletion E. coli Strains
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    Chapter 4 Tub-Tag Labeling; Chemoenzymatic Incorporation of Unnatural Amino Acids
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    Chapter 5 Directed Evolution of Orthogonal Pyrrolysyl-tRNA Synthetases in Escherichia coli for the Genetic Encoding of Noncanonical Amino Acids
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    Chapter 6 Genetic Code Expansion in Enteric Bacterial Pathogens
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    Chapter 7 Self-Directed in Cell Production of Methionine Analogue Azidohomoalanine by Synthetic Metabolism and Its Incorporation into Model Proteins
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    Chapter 8 Residue-Specific Incorporation of Noncanonical Amino Acids for Protein Engineering
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    Chapter 9 Using Amber and Ochre Nonsense Codons to Code Two Different Noncanonical Amino Acids in One Protein Gene
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    Chapter 10 Genetic Incorporation of Unnatural Amino Acids into Proteins of Interest in Streptomyces venezuelae ATCC 15439
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    Chapter 11 Expression and Purification of Site-Specifically Lysine-Acetylated and Natively-Folded Proteins for Biophysical Investigations
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    Chapter 12 Site-Specific Incorporation of Sulfotyrosine Using an Expanded Genetic Code
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    Chapter 13 Site-Specific Protein Labeling with Tetrazine Amino Acids
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    Chapter 14 Mapping of Protein Interfaces in Live Cells Using Genetically Encoded Crosslinkers
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    Chapter 15 Generation of Stable Amber Suppression Cell Lines
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    Chapter 16 Trapping Chromatin Interacting Proteins with Genetically Encoded, UV-Activatable Crosslinkers In Vivo
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    Chapter 17 Genetically Encoding Unnatural Amino Acids in Neurons In Vitro and in the Embryonic Mouse Brain for Optical Control of Neuronal Proteins
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    Chapter 18 Genetic Code Expansion- and Click Chemistry-Based Site-Specific Protein Labeling for Intracellular DNA-PAINT Imaging
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    Chapter 19 MultiBacTAG-Genetic Code Expansion Using the Baculovirus Expression System in Sf21 Cells
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    Chapter 20 Production and Chemoselective Modification of Adeno-Associated Virus Site-Specifically Incorporating an Unnatural Amino Acid Residue into Its Capsid
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    Chapter 21 Generation of Intramolecular FRET Probes via Noncanonical Amino Acid Mutagenesis
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    Chapter 22 Fluorogenic Tetrazine-Siliconrhodamine Probe for the Labeling of Noncanonical Amino Acid Tagged Proteins
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    Chapter 23 Site-Specific Protein Labeling Utilizing Lipoic Acid Ligase (LplA) and Bioorthogonal Inverse Electron Demand Diels-Alder Reaction
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    Chapter 24 Genetic Encoding of Unnatural Amino Acids in C. elegans
Attention for Chapter 24: Genetic Encoding of Unnatural Amino Acids in C. elegans
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Chapter title
Genetic Encoding of Unnatural Amino Acids in C. elegans
Chapter number 24
Book title
Noncanonical Amino Acids
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7574-7_24
Pubmed ID
29405011
Book ISBNs
978-1-4939-7573-0, 978-1-4939-7574-7
Authors

Lloyd Davis, Sebastian Greiss

Abstract

Site-specific incorporation of unnatural amino acids (UAAs) has greatly expanded the toolkit available to study biological phenomena in single cells. However, to address questions involving complex cellular interactions such as development, ageing, and the functions of the nervous system it is often necessary to use multicellular model organisms. The nematode Caenorhabditis elegans was the first organism to have its genetic code expanded. Due to its small size, ease of cultivation, and excellent UAA incorporation efficiency, C. elegans makes an ideal model organism to apply UAAs as tools to investigate the functioning of multicellular systems.Here, we describe methods to generate transgenic C. elegans capable of UAA incorporation, as well as how to deliver unnatural amino acids and test incorporation. Furthermore, we describe methods to uncage photosensitive unnatural amino acid derivatives.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Ph. D. Student 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 45%
Agricultural and Biological Sciences 1 9%
Neuroscience 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 February 2018.
All research outputs
#14,374,920
of 23,020,670 outputs
Outputs from Methods in molecular biology
#4,226
of 13,166 outputs
Outputs of similar age
#240,504
of 442,361 outputs
Outputs of similar age from Methods in molecular biology
#432
of 1,498 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,166 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.

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