Including shared peptides for estimating protein abundances: A significant improvement for quantitative proteomics-Reference-Cited by-同舟云学术

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Including shared peptides for estimating protein abundances: A significant improvement for quantitative proteomics

Published:2012-09 Issue:18 Volume:12 Page:2797-2801
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Blein-Nicolas Mélisande¹,Xu Hao²,de Vienne Dominique³,Giraud Christophe²,Huet Sylvie⁴,Zivy Michel⁵

Affiliation:

1. INRA; UMR 0320/UMR 8120 Génétique Végétale; Gif-sur-Yvette France

2. CMAP; UMR CNRS 7641, Ecole Polytechnique; Palaiseau France

3. Univ Paris-Sud; UMR 0320/UMR 8120 Génétique Végétale; Gif-sur-Yvette France

4. INRA; UR341 MIA; Jouy-en-Josas France

5. CNRS; UMR 0320/UMR 8120 Génétique Végétale; Gif-sur-Yvette France

Funder

Chaire Modélisation Mathématique et Biodiversité

VEOLIA Environnement, Ecole Polytechnique, Muséum national d'Histoire naturelle, and Fondation de l'Ecole Polytechnique

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pmic.201100660/fullpdf

Reference15 articles.

1. Options and considerations when selecting a quantitative proteomics strategy;Domon;Nat. Biotech.,2010

2. Quantitation in mass-spectrometry-based proteomics;Schulze;Annu. Rev. Plant Biol.,2010

3. Peek a peak: a glance at statistics for quantitative label-free proteomics;Podwojski;Expert Rev. Proteomics,2010

4. Refinements to label free proteome quantitation: how to deal with peptides shared by multiple proteins;Zhang;Anal. Chem.,2010

5. Abacus: a computational tool for extracting and pre-processing spectral count data for label-free quantitative proteomic analysis;Fermin;Proteomics,2011

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