• Medientyp: E-Artikel
  • Titel: Assessing factors for reliable quantitative proteomics based on two‐dimensional gel electrophoresis
  • Beteiligte: Fiévet, Julie; Dillmann, Christine; Lagniel, Gilles; Davanture, Marlène; Negroni, Luc; Labarre, Jean; de Vienne, Dominique
  • Erschienen: Wiley, 2004
  • Erschienen in: PROTEOMICS
  • Sprache: Englisch
  • DOI: 10.1002/pmic.200300731
  • ISSN: 1615-9853; 1615-9861
  • Schlagwörter: Molecular Biology ; Biochemistry
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  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>We statistically analysed various factors to get accurate estimates of protein quantities from two‐dimensional gels. Yeast proteins were labelled with <jats:sup>35</jats:sup>S or stained with Coomassie Brilliant Blue G‐250, and spots were automatically quantified with software packages Kepler, ImageQuaNT, Melanie 3.0 and Progenesis. The different software packages proved to have very similar performances. With <jats:sup>35</jats:sup>S‐labelled actin spot as a reference, we studied the staining efficiency of colloidal Coomassie blue as a function of amino acid composition of the protein, and derived an equation to estimate the number of molecules <jats:italic>per</jats:italic> cell from blue‐stained proteins. Absolute quantification of most glycolytic enzymes was carried out in two yeast strains.</jats:p>