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Proximity Labeling

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Cover of 'Proximity Labeling'

Table of Contents

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    Book Overview
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    Chapter 1 The EMARS Reaction for Proximity Labeling
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    Chapter 2 Proteomic Proximity Labeling to Reveal Interactions Between Biomolecules
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    Chapter 3 Establishing Cell Culture-Based Experimental Setups for Proximity Labeling Using Ascorbate Peroxidase (APEX)
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    Chapter 4 APEX Peroxidase-Catalyzed Proximity Labeling and Multiplexed Quantitative Proteomics
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    Chapter 5 Identification of Lipid Droplet Proteomes by Proximity Labeling Proteomics Using APEX2
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    Chapter 6 Antibody-Driven Proximity Labeling in Fixed Tissues
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    Chapter 7 BioID: A Method to Generate a History of Protein Associations
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    Chapter 8 Direct Identification of Biotinylated Proteins from Proximity Labeling (Spot-BioID)
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    Chapter 9 Identifying Synaptic Proteins by In Vivo BioID from Mouse Brain
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    Chapter 10 A Proximity Ligation-Based Method to Detect RNA-DNA Association
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    Chapter 11 Enzymatic Transfer of Photo-Cross-Linkers for RNA-Protein Photo-Cross-Linking at the mRNA 5′-Cap
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    Chapter 12 Proximity-Induced Bioorthogonal Chemistry Using Inverse Electron Demand Diels-Alder Reaction
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    Chapter 13 Overcoming the Limitations of Sortase with Proximity-Based Sortase-Mediated Ligation (PBSL)
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    Chapter 14 Proximity-Driven Site-Specific and Covalent Labeling of Proteins with a TexasRed Fluorophore Reacting (ReacTR) Peptide Tag
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    Chapter 15 Affinity Conjugation for Rapid and Covalent Labeling of Proteins in Live Cells
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    Chapter 16 Ligand-Directed N-Sulfonyl Pyridone Chemistry for Selective Native Protein Labeling and Imaging in Live Cell
Attention for Chapter 8: Direct Identification of Biotinylated Proteins from Proximity Labeling (Spot-BioID)
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Chapter title
Direct Identification of Biotinylated Proteins from Proximity Labeling (Spot-BioID)
Chapter number 8
Book title
Proximity Labeling
Published by
Humana, New York, NY, May 2019
DOI 10.1007/978-1-4939-9537-0_8
Pubmed ID
Book ISBNs
978-1-4939-9536-3, 978-1-4939-9537-0
Authors

Song-Yi Lee, Jeong Kon Seo, Hyun-Woo Rhee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Student > Bachelor 3 25%
Student > Master 2 17%
Professor > Associate Professor 1 8%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 50%
Immunology and Microbiology 2 17%
Agricultural and Biological Sciences 2 17%
Computer Science 1 8%
Unknown 1 8%