An automated in-gel digestion/iTRAQ-labeling workflow for robust quantification of gel-separated proteins-Reference-Cited by-同舟云学术

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An automated in-gel digestion/iTRAQ-labeling workflow for robust quantification of gel-separated proteins

Published:2013-04-04 Issue:9 Volume:13 Page:1417-1422
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Schmidt Carla¹,Hesse Dörte²,Raabe Monika¹,Urlaub Henning¹³,Jahn Olaf²⁴

Affiliation:

1. Bioanalytical Mass Spectrometry Group; Max Planck Institute for Biophysical Chemistry; Göttingen Germany

2. Proteomics Group; Max Planck Institute of Experimental Medicine; Göttingen Germany

3. Bioanalytics, Department of Clinical Chemistry; University Medical Center Göttingen; Göttingen Germany

4. Cluster of Excellence Nanoscale Microscopy and Molecular Physiology of the Brain; Göttingen Germany

Funder

Max Planck Society

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pmic.201200366/fullpdf

Reference9 articles.

1. Technical innovations for the automated identification of gel-separated proteins by MALDI-TOF mass spectrometry;Jahn;Anal. Bioanal. Chem.,2006

2. Quantitative and integrative proteome analysis of peripheral nerve myelin identifies novel myelin proteins and candidate neuropathy loci;Patzig;J. Neurosci.,2011

3. iTRAQ-labeling of in-gel digested proteins for relative quantification;Schmidt;Methods Mol. Biol.,2009

4. Isobaric tagging approaches in quantitative proteomics: the ups and downs;Christoforou;Anal. Bioanal. Chem.,2012

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4. Automated Proteomics Workflows for High-Throughput Library Generation and Biomarker Detection Using Data-Independent Acquisition;Journal of Proteome Research;2023-05-23

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