Improved LC−MS/MS Spectral Counting Statistics by Recovering Low-Scoring Spectra Matched to Confidently Identified Peptide Sequences-Reference-Cited by-同舟云学术

Improved LC−MS/MS Spectral Counting Statistics by Recovering Low-Scoring Spectra Matched to Confidently Identified Peptide Sequences

Published:2010-10-04 Issue:11 Volume:9 Page:5698-5704
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Zhou Jian-Ying¹,Schepmoes Athena A.¹,Zhang Xu¹,Moore Ronald J.¹,Monroe Matthew E.¹,Lee Jung Hwa¹,Camp David G.¹,Smith Richard D.¹,Qian Wei-Jun¹

Affiliation:

1. Biological Science Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, and Department of Chemistry and Center for Electro- and Photo-Responsive Molecules, Korea University, Seoul 136-701, Korea

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/pr100508p

Reference21 articles.

1. A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics

2. Comparative proteome analyses of human plasma followingin vivo lipopolysaccharide administration using multidimensional separations coupled with tandem mass spectrometry

3. Quantitative proteomic analysis of distinct mammalian Mediator complexes using normalized spectral abundance factors

4. Correlation of Relative Abundance Ratios Derived from Peptide Ion Chromatograms and Spectrum Counting for Quantitative Proteomic Analysis Using Stable Isotope Labeling

5. Comparison of Label-free Methods for Quantifying Human Proteins by Shotgun Proteomics

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