Home LiteratureArticle Details
PMID: 18324724 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

A label-free quantification method by MS/MS TIC compared to SILAC and spectral counting in a proteomics screen.

Proteomics ·Vol. 8 ·No. 5 ·2008-03-00 ·Pages 994-9

Asara JM, Christofk HR, Freimark LM, Cantley LC

Abstract

In order to assess the biological function of proteins and their modifications for understanding signaling mechanisms within cells as well as specific biomarkers to disease, it is important that quantitative information be obtained under different experimental conditions. Stable isotope labeling is a powerful method for accurately determining changes in the levels of proteins and PTMs; however, isotope labeling experiments suffer from limited dynamic range resulting in signal change ratios of less than approximately 20:1 using most commercial mass spectrometers. Label-free approaches to relative quantification in proteomics such as spectral counting have gained popularity since no additional chemistries are needed. Here, we show a label-free method for relative quantification based on the TIC from peptide MS/MS spectra collected from data-dependent runs can be used effectively as a quantitative measure and expands the dynamic range over isotope labeling experiments allowing for abundance differences up to approximately 60:1 in a screen for proteins that bind to phosphotyrosine residues.

MeSH Terms
HeLa Cells Humans Isotope Labeling Proteomics/methods Staining and Labeling/methods Tandem Mass Spectrometry/methods
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Asara John M
Division of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA. jasara@bidmc.harvard.edu
Christofk Heather R
Freimark Lisa M
Cantley Lewis C
Article Info
Journal
Proteomics
Abbr.
Proteomics
ISSN
1615-9861
Published
2008-03-00
Pages
994-9
Language
English
Region
Germany
NLM ID
101092707
Subset
IM
Grants
NCI NIH HHS · P30 CA006516 · United States
NIGMS NIH HHS · R01 GM056203 · United States
NCI NIH HHS · 1P01CA120964 · United States
NCI NIH HHS · 5P30CA006516-43 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com