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Noncanonical Amino Acids

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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 23: Site-Specific Protein Labeling Utilizing Lipoic Acid Ligase (LplA) and Bioorthogonal Inverse Electron Demand Diels-Alder Reaction
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Chapter title
Site-Specific Protein Labeling Utilizing Lipoic Acid Ligase (LplA) and Bioorthogonal Inverse Electron Demand Diels-Alder Reaction
Chapter number 23
Book title
Noncanonical Amino Acids
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7574-7_23
Pubmed ID
Book ISBNs
978-1-4939-7573-0, 978-1-4939-7574-7
Authors

Mathis Baalmann, Marcel Best, Richard Wombacher, Baalmann, Mathis, Best, Marcel, Wombacher, Richard

Abstract

Here, we describe a two-step protocol for selective protein labeling based on enzyme-mediated peptide labeling utilizing lipoic acid ligase (LplA) and bioorthogonal chemistry. The method can be applied to purified proteins, protein in cell lysates, as well as living cells. In a first step a W37V mutant of the lipoic acid ligase (LplAW37V) from Escherichia coli is utilized to ligate a synthetic chemical handle site-specifically to a lysine residue in a 13 amino acid peptide motif-a short sequence that can be genetically expressed as a fusion with any protein of interest. In a second step, a molecular probe can be attached to the chemical handle in a bioorthogonal Diels-Alder reaction with inverse electron demand (DAinv). This method is a complementary approach to protein labeling using genetic code expansion and circumvents larger protein tags while maintaining label specificity, providing experimental flexibility and straightforwardness.

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The data shown below were collected from the profiles of 4 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 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 9 53%
Student > Master 2 12%
Student > Doctoral Student 2 12%
Student > Bachelor 1 6%
Unknown 3 18%
Readers by discipline Count As %
Chemistry 5 29%
Agricultural and Biological Sciences 3 18%
Biochemistry, Genetics and Molecular Biology 2 12%
Chemical Engineering 1 6%
Philosophy 1 6%
Other 2 12%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 September 2019.
All research outputs
#7,059,402
of 23,385,346 outputs
Outputs from Methods in molecular biology
#2,125
of 13,334 outputs
Outputs of similar age
#140,681
of 444,568 outputs
Outputs of similar age from Methods in molecular biology
#206
of 1,496 outputs
Altmetric has tracked 23,385,346 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,334 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 83% 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 444,568 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1,496 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.