Quantitative proteomics using SILAC: Principles, applications, and developments-Reference-Cited by-同舟云学术

Quantitative proteomics using SILAC: Principles, applications, and developments

Published:2015-07-14 Issue:18 Volume:15 Page:3175-3192
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Chen Xiulan¹,Wei Shasha¹,Ji Yanlong¹²,Guo Xiaojing¹,Yang Fuquan¹

Affiliation:

1. Key Laboratory of Protein and Peptide Pharmaceuticals and Laboratory of Proteomics; Institute of Biophysics; Chinese Academy of Sciences; Beijing P. R. China

2. University of Chinese Academy of Sciences; Beijing P. R. China

Funder

National Basic Research Program of China

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pmic.201500108/fullpdf

Reference217 articles.

1. Quantitative profiling of differentiation-induced microsomal proteins using isotope-coded affinity tags and mass spectrometry;Han;Nat. Biotechnol.,2001

2. Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents;Ross;Mol. Cell Proteomics,2004

3. 8-plex quantitation of changes in cerebrospinal fluid protein expression in subjects undergoing intravenous immunoglobulin treatment for Alzheimer's disease;Choe;Proteomics,2007

4. Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS;Thompson;Anal. Chem.,2003

5. Stable-isotope dimethyl labeling for quantitative proteomics;Hsu;Anal. Chem.,2003

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