English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Using 15N-Metabolic Labeling for Quantitative Proteomic Analyses.

Maccarrone, G., Chen, A., & Filiou, M. D. (2017). Using 15N-Metabolic Labeling for Quantitative Proteomic Analyses. Methods in molecular biology (Clifton, N.J.), 1546, 235-243.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Maccarrone, Giuseppina1, Author           
Chen, Alon2, Author           
Filiou, Michaela D.2, Author           
Affiliations:
1Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035295              
2Dept. Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035294              

Content

show
hide
Free keywords: 15N-Metabolic labeling; Quantitative Proteomics; Mass spectrometry; Peptide quantification
 Abstract: Quantitative proteomics has benefited from the application of stable isotope labeling-based approaches. Using stable isotopically labeled material as an internal standard in proteomic comparisons allows an unbiased and accurate quantification of protein expression level changes. Here, we describe the use of in vivo (15)N metabolic labeling to generate labeled protein standards from mice. We then present a protocol including sample preparation, mass spectrometry, and data analysis workflows using these standards to compare unlabeled proteomes. We focus on mouse brain tissue and plasma samples, although this conceptual framework can be applied to most organisms.

Details

show
hide
Language(s): eng - English
 Dates: 2017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: PMID: 27896773
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Methods in molecular biology (Clifton, N.J.)
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 1546 Sequence Number: - Start / End Page: 235 - 243 Identifier: -