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. 2015 Nov 23;15(2):740–751. doi: 10.1074/mcp.O115.049791

Fig. 1.

Fig. 1.

Proteomic workflow and QuantFusion model. A, proteomics workflow to analyze PDX tumors with heavy labeled added-in standard peptides derived from an MCF10A cell line. The cell line proteins were added to each tumor lysate at a protein mass ratio of 1:3, reduced, alkylated, and subjected to dual digestion with an endoproteinase Lys-C-trypsin enzyme combination. The resulting peptides were fractionated by high pH reversed phase liquid chromatography into 30 fractions that were non-contiguously recombined into five fractions and used for global LC-MS proteomic analysis. All data were subjected to LFQ analysis and AACT ratio determination. The LFQ and AACT outputs were processed using a Perl script and subjected to statistical modeling. B, graphical depiction of LFQ and RoR quantitation schemes and statistical model that merges LFQ and RoR estimates into a unified estimate.