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Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)

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Cover of 'Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fifteen Years of Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)
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    Chapter 2 Stable isotope labeling by amino acids applied to bacterial cell culture.
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    Chapter 3 SILAC Labeling of Yeast for the Study of Membrane Protein Complexes
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    Chapter 4 Whole Proteome Analysis of the Protozoan Parasite Trypanosoma brucei Using Stable Isotope Labeling by Amino Acids in Cell Culture and Mass Spectrometry
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    Chapter 5 Stable Isotope Labeling by Amino Acids in Cultured Primary Neurons
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    Chapter 6 SILAC and Alternatives in Studying Cellular Proteomes of Plants
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    Chapter 7 In Vivo Stable Isotope Labeling by Amino Acids in Drosophila melanogaster.
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    Chapter 8 Stable Isotope Labeling for Proteomic Analysis of Tissues in Mouse
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    Chapter 9 Identification of Novel Protein Functions and Signaling Mechanisms by Genetics and Quantitative Phosphoproteomics in Caenorhabditis elegans
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    Chapter 10 SILAC-Based Temporal Phosphoproteomics.
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    Chapter 11 Global Ubiquitination Analysis by SILAC in Mammalian Cells
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    Chapter 12 Quantifying In Vivo, Site-Specific Changes in Protein Methylation with SILAC.
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    Chapter 13 Applying SILAC for the Differential Analysis of Protein Complexes.
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    Chapter 14 Defining Dynamic Protein Interactions Using SILAC-Based Quantitative Mass Spectrometry.
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    Chapter 15 Identifying Nuclear Protein–Protein Interactions Using GFP Affinity Purification and SILAC-Based Quantitative Mass Spectrometry
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    Chapter 16 Analyzing the Protein Assembly and Dynamics of the Human Spliceosome with SILAC
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    Chapter 17 Identification and Validation of Protein-Protein Interactions by Combining Co-immunoprecipitation, Antigen Competition, and Stable Isotope Labeling
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    Chapter 18 Protein Correlation Profiling-SILAC to Study Protein-Protein Interactions
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    Chapter 19 Autophagosomal Proteome Analysis by Protein Correlation Profiling-SILAC
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    Chapter 20 Design and Application of Super-SILAC for Proteome Quantification.
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    Chapter 21 Proteomics Meets Genetics: SILAC Labeling of Drosophila melanogaster Larvae and Cells for In Vivo Functional Studies.
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    Chapter 22 Analysis of Secreted Proteins Using SILAC.
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    Chapter 23 Identification of MicroRNA Targets by Pulsed SILAC
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    Chapter 24 MaxQuant for In-Depth Analysis of Large SILAC Datasets.
Attention for Chapter 9: Identification of Novel Protein Functions and Signaling Mechanisms by Genetics and Quantitative Phosphoproteomics in Caenorhabditis elegans
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Chapter title
Identification of Novel Protein Functions and Signaling Mechanisms by Genetics and Quantitative Phosphoproteomics in Caenorhabditis elegans
Chapter number 9
Book title
Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1142-4_9
Pubmed ID
Book ISBNs
978-1-4939-1141-7, 978-1-4939-1142-4
Authors

Julius Fredens, Kasper Engholm-Keller, Jakob Møller-Jensen, Martin Røssel Larsen, Nils J. Færgeman

Abstract

Stable isotope labeling by amino acids combined with mass spectrometry is a widely used methodology for measuring relative changes in protein and phosphorylation levels at a global level. We have applied this method to the model organism Caenorhabditis elegans in combination with RNAi-mediated gene knockdown by feeding the nematode on pre-labeled lysine auxotroph Escherichia coli. In this chapter, we describe in details the generation of the E. coli strain, incorporation of heavy isotope-labeled lysine in C. elegans, and the procedure for a comprehensive global phosphoproteomic experiment.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 20%
Researcher 3 20%
Student > Ph. D. Student 2 13%
Other 1 7%
Student > Doctoral Student 1 7%
Other 2 13%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Agricultural and Biological Sciences 3 20%
Veterinary Science and Veterinary Medicine 1 7%
Immunology and Microbiology 1 7%
Medicine and Dentistry 1 7%
Other 2 13%
Unknown 2 13%
Attention Score in Context

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 02 September 2014.
All research outputs
#15,304,580
of 22,761,738 outputs
Outputs from Methods in molecular biology
#5,318
of 13,088 outputs
Outputs of similar age
#190,042
of 305,296 outputs
Outputs of similar age from Methods in molecular biology
#200
of 596 outputs
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So far Altmetric has tracked 13,088 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 596 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 56% of its contemporaries.