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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 2014 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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Combining Pulsed SILAC Labeling and Click-Chemistry for Quantitative Secretome Analysis

Authors: Katrin Eichelbaum; Jeroen Krijgsveld;

Combining Pulsed SILAC Labeling and Click-Chemistry for Quantitative Secretome Analysis

Abstract

Secreted proteins, such as cytokines, chemokines, and hormones, exhibit central functions in intercellular communication, which is crucial to maintain homeostasis in every multicellular organism. A common approach to identify secreted proteins is by proteomic analysis of culture media after conditioning with a cell type of interest. This is preferably done in serum-free conditions to enable the detection of low-abundance secretory factors that would otherwise be masked by serum proteins. However, serum starvation introduces the risk of bringing cells in a stressed or perturbed state. A superior approach employs the enrichment of newly synthesized and secreted proteins from serum-containing growth medium. This is achieved by the combination of two metabolic labels: stable isotope-labeled amino acids for reliable quantification, and azidohomoalanine (AHA), an azide-bearing analogue of methionine, for the enrichment of newly synthesized and secreted proteins. This approach has been used to compare secretomes of multiple cell lines or to analyze proteins that are secreted upon a specific stimulation. Here we describe in detail the enrichment and quantification of newly synthesized and secreted proteins.

Related Organizations
Keywords

Proteomics, Proteome, Staining and Labeling, Proteins, Cell Line, Animals, Humans, Click Chemistry

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    31
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
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