The effects of p53 gene inactivation on mutant proteome expression in a human melanoma cell model: Running Title : An isogenic p53-null melanoma cell model for use in mutant proteomics

Jakub Faktor, Giuseppa Grasso, Małgorzata Kurkowiak, Marcos Yebenes Mayordomo, Sachin Kote, Ashita Singh, Ruidong Li, J. Robert O'Neill, Petr Muller, David Goodlett, Borek Vojtesek, Ted R Hupp

Research output: Contribution to journalArticlepeer-review

Abstract

Background: The identification of mutated proteins in human cancer cellstermed
proteogenomics requires several technologically independent research methodologies including genomics, RNA sequencing, and mass spectrometry. Any one of these methodologies are not optimized for identifying potential mutated proteins and any one output fails to cover completely a specific landscape.
Methods: An isogenic melanoma cell with a p53-null genotype was created
by CRISPR/CAS9 system to determine how p53 gene inactivation affects
mutant proteome expression. A mutant peptide reference database was
developed by comparing two distinct DNA and RNA variant detection platforms using these isogenic cells. Chemically fractionated tryptic peptides from lysates were processed using a TripleTOF 5600+ mass spectrometer and their spectra were identified against this mutant reference database.
Results: Approximately 190 mutated peptides were enriched in wt-p53
cells, 187 mutant peptides were enriched in p53-null cells, with an overlap of 147 mutated peptides. STRING analysis highlighted that the wtp53 cell line was enriched for mutant protein pathways such as CDC5L and POLR1B, whilst the p53-null cell line was enriched for mutated proteins comprising EGF/YES, Ubiquitination, and RPL26/5 nodes.
Conclusion: Our study produces a well annotated p53-dependent and p53-
independent mutant proteome of a common melanoma cell line model. Coupled
to the application of an integrated DNA and RNA variant detection platform (CLCbio) and software for identification of proteins (ProteinPilot), this pipeline can be used to detect high confident mutant proteins in cells.
General significance: This pipeline forms a blueprint for identifying mutated proteins in diseased cell systems.
Original languageEnglish
JournalBBA - Biomembranes
Early online date29 Aug 2020
DOIs
Publication statusE-pub ahead of print - 29 Aug 2020

Keywords

  • cancer
  • p53
  • protein mass spectrometry
  • proteogenomics
  • proteomics

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