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A quantitative analysis software tool for mass spectrometry–based proteomics


We describe Census, a quantitative software tool compatible with many labeling strategies as well as with label-free analyses, single-stage mass spectrometry (MS1) and tandem mass spectrometry (MS/MS) scans, and high- and low-resolution mass spectrometry data. Census uses robust algorithms to address poor-quality measurements and improve quantitative efficiency, and it can support several input file formats. We tested Census with stable-isotope labeling analyses as well as label-free analyses.

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Figure 1: Schematic detailing the quantitative analysis capabilities of Census.
Figure 2: Use of high mass accuracy for improved quantification with Census.
Figure 3: Expected and measured relative abundances of technical replicates of a 10-protein mix dataset using Census.


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We thank J. Wohlschlegel and D. Cociorva for their comments and discussions about the manuscript, M. MacCoss for his insights and work developing RelEx, S. Agarwalla and D. McMullan for sample preparation. S.K.P. is supported by US National Institutes of Health (NIH) National Institute of Allergy and Infectious Diseases (UOM/DMID-BAA-03). J.D.V. is supported by a National Research Service Award (NIH) fellowship. T.X. is supported by NIH (DE016267). J.R.Y. is supported by NIH (P41 RR011823, R01 MH067880 and R01 HL079442).

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Authors and Affiliations



S.K.P. developed the algorithm and applications; J.D.V. prepared yeast cell lysates, 10 protein standard mixtures, iTRAQ samples and developed algorithms; T.X. contributed to discussions on algorithms; J.R.Y. led and coordinated the project.

Corresponding author

Correspondence to John R Yates III.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–8, Supplementary Tables 1–6, Supplementary Methods (PDF 673 kb)

Supplementary Data

Quantitative analysis results obtained from Census for 1:1 mixture of unlabeled and metabolically 15N labeled yeast standards. (ZIP 145 kb)

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Park, S., Venable, J., Xu, T. et al. A quantitative analysis software tool for mass spectrometry–based proteomics. Nat Methods 5, 319–322 (2008).

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