Deciphering the ghost proteome in ovarian cancer cells by deep proteogenomic characterization.

Cell Death Dis

Univ. Lille, Inserm, CHU Lille, U1192, Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000, Lille, France.

Published: September 2024

AI Article Synopsis

  • Proteogenomics integrates genomics and mass spectrometry to uncover both standard and alternative proteins, enhancing personalized medicine for conditions like ovarian cancer.
  • Through RNA-sequencing and protein database generation, researchers identified 128 reference proteins and 30 alternative proteins unique to ovarian cancer cell lines, uncovering a specific mutation in an alternative protein.
  • Advanced techniques like cross-linking mass spectrometry revealed interactions between alternative and reference proteins, suggesting that some alternative proteins may play crucial roles in important cellular processes such as DNA replication and repair.

Article Abstract

Proteogenomics is becoming a powerful tool in personalized medicine by linking genomics, transcriptomics and mass spectrometry (MS)-based proteomics. Due to increasing evidence of alternative open reading frame-encoded proteins (AltProts), proteogenomics has a high potential to unravel the characteristics, variants, expression levels of the alternative proteome, in addition to already annotated proteins (RefProts). To obtain a broader view of the proteome of ovarian cancer cells compared to ovarian epithelial cells, cell-specific total RNA-sequencing profiles and customized protein databases were generated. In total, 128 RefProts and 30 AltProts were identified exclusively in SKOV-3 and PEO-4 cells. Among them, an AltProt variant of IP_715944, translated from DHX8, was found mutated (p.Leu44Pro). We show high variation in protein expression levels of RefProts and AltProts in different subcellular compartments. The presence of 117 RefProt and two AltProt variants was described, along with their possible implications in the different physiological/pathological characteristics. To identify the possible involvement of AltProts in cellular processes, cross-linking-MS (XL-MS) was performed in each cell line to identify AltProt-RefProt interactions. This approach revealed an interaction between POLD3 and the AltProt IP_183088, which after molecular docking, was placed between POLD3-POLD2 binding sites, highlighting its possibility of the involvement in DNA replication and repair.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11442847PMC
http://dx.doi.org/10.1038/s41419-024-07046-1DOI Listing

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