Statistical Inference from Multiple iTRAQ Experiments without Using Common Reference Standards-Reference-Cited by-同舟云学术

Statistical Inference from Multiple iTRAQ Experiments without Using Common Reference Standards

Published:2013-01-16 Issue:2 Volume:12 Page:594-604
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Herbrich Shelley M.¹,Cole Robert N.²,West Keith P.,Schulze Kerry,Yager James D.,Groopman John D.,Christian Parul,Wu Lee,O’Meally Robert N.²,May Damon H.³,McIntosh Martin W.³,Ruczinski Ingo

Affiliation:

1. Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States

2. Mass Spectrometry and Proteomics Core Facility, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States

3. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/pr300624g

Reference27 articles.

1. Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents

2. Quantitative analysis of protein expression using amine-specific isobaric tags inEscherichia coli cells expressingrhsA elements

3. Capture and analysis of quantitative proteomic data

4. Protein labeling by iTRAQ: A new tool for quantitative mass spectrometry in proteome research

5. Eight-channel iTRAQ Enables Comparison of the Activity of Six Leukemogenic Tyrosine Kinases

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