mProphet: automated data processing and statistical validation for large-scale SRM experiments-Reference-Cited by-同舟云学术

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mProphet: automated data processing and statistical validation for large-scale SRM experiments

Published:2011-03-20 Issue:5 Volume:8 Page:430-435
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Reiter Lukas,Rinner Oliver,Picotti Paola,Hüttenhain Ruth,Beck Martin,Brusniak Mi-Youn,Hengartner Michael O,Aebersold Ruedi

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

http://www.nature.com/articles/nmeth.1584.pdf

Reference38 articles.

1. Lange, V., Picotti, P., Domon, B. & Aebersold, R. Selected reaction monitoring for quantitative proteomics: a tutorial. Mol. Syst. Biol. 4, 222 (2008).

2. Picotti, P., Bodenmiller, B., Mueller, L.N., Domon, B. & Aebersold, R. Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics. Cell 138, 795–806 (2009).

3. Wolf-Yadlin, A., Hautaniemi, S., Lauffenburger, D.A. & White, F.M. Multiple reaction monitoring for robust quantitative proteomic analysis of cellular signaling networks. Proc. Natl. Acad. Sci. USA 104, 5860–5865 (2007).

4. Anderson, L. & Hunter, C.L. Quantitative mass spectrometric multiple reaction monitoring assays for major plasma proteins. Mol. Cell. Proteomics 5, 573–588 (2006).

5. Jovanovic, M. et al. A quantitative targeted proteomics approach to validate predicted microRNA targets in C. elegans. Nat. Methods 7, 837–842 (2010).

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