pr7b00388_si_008.xlsx (38.58 kB)
Enhanced Missing Proteins Detection in NCI60 Cell Lines Using an Integrative Search Engine Approach
datasetposted on 2017-09-29, 00:00 authored by Elizabeth Guruceaga, Alba Garin-Muga, Gorka Prieto, Bartolomé Bejarano, Miguel Marcilla, Consuelo Marín-Vicente, Yasset Perez-Riverol, J. Ignacio Casal, Juan Antonio Vizcaíno, Fernando J. Corrales, Victor Segura
The Human Proteome Project (HPP) aims deciphering the complete map of the human proteome. In the past few years, significant efforts of the HPP teams have been dedicated to the experimental detection of the missing proteins, which lack reliable mass spectrometry evidence of their existence. In this endeavor, an in depth analysis of shotgun experiments might represent a valuable resource to select a biological matrix in design validation experiments. In this work, we used all the proteomic experiments from the NCI60 cell lines and applied an integrative approach based on the results obtained from Comet, Mascot, OMSSA, and X!Tandem. This workflow benefits from the complementarity of these search engines to increase the proteome coverage. Five missing proteins C-HPP guidelines compliant were identified, although further validation is needed. Moreover, 165 missing proteins were detected with only one unique peptide, and their functional analysis supported their participation in cellular pathways as was also proposed in other studies. Finally, we performed a combined analysis of the gene expression levels and the proteomic identifications from the common cell lines between the NCI60 and the CCLE project to suggest alternatives for further validation of missing protein observations.
design validation experimentssearch enginesOMSSAmass spectrometry evidenceNCI 60 Cell Linescell linesNCI 60 cell linesproteomic experimentsHPP teamsHuman Proteome Projectworkflow benefitsProteins Detectionproteome coverageproteins C-HPP guidelinesgene expression levelsprotein observationsNCI 60shotgun experimentsCCLE projectproteomic identificationsdepth analysisEngine Approach