Journal of Proteome Research · 2017 · 99 citations · 62 references
Life SciencesBiochemistryMolecular BiologyMass Spectrometric AnalysisProtein BiochemistryProteomicsBottom-up ProteomicsCancer ProteomicsMass Spectrometry Data AnalysisMass Spectrometry-based ProteomicsProtein Sequence AnalysisTop-down ProteomicsMass Spectrometry ProteomicsPeptide Mass SpectrometryProtein Coverage AssessmentProtein Sequence CoverageProteome CoverageProteome Coverage AnalysisSequence Coverage AnalysisSequence Coverage Assessment
The "deep" proteome has been accessible by mass spectrometry for some time. However, the number of proteins identified in cells of the same type has plateaued at ∼8000-10 000 without ID transfer from reference proteomes/data. Moreover, limited sequence coverage hampers the discrimination of protein isoforms when using trypsin as standard protease. Multienzyme approaches appear to improve sequence coverage and subsequent isoform discrimination. Here we expanded proteome and protein sequence coverage in MCF-7 breast cancer cells to an as yet unmatched depth by employing a workflow that addresses current limitations in deep proteome analysis in multiple stages: We used (i) gel-aided sample preparation (GASP) and combined trypsin/elastase digests to increase peptide orthogonality, (ii) concatenated high-pH prefractionation, and (iii) CHarge Ordered Parallel Ion aNalysis (CHOPIN), available on an Orbitrap Fusion (Lumos) mass spectrometer, to achieve 57% median protein sequence coverage in 13 728 protein groups (8949 Unigene IDs) in a single cell line. CHOPIN allows the use of both detectors in the Orbitrap on predefined precursor types that optimizes parallel ion processing, leading to the identification of a total of 179 549 unique peptides covering the deep proteome in unprecedented detail.
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