Evidence map›Paper›PMID 39349928›Full record

ArticleCell death & disease2024

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

Diego Fernando Garcia-Del Rio, Mehdi Derhourhi, Amelie Bonnefond, Sébastien Leblanc, Noé Guilloy, Xavier Roucou, Sven Eyckerman, Kris Gevaert, Michel Salzet, Tristan Cardon

Abstract read
In one paragraph

Article in Cell death & disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Identification of Canonical and Alternative Proteins by Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Review
  4. Chasing the Ghost Proteome in the Dark Matter.Molecular & cellular proteomics : MCP · 2025
    Review
  5. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Diego Fernando Garcia-Del RioUniv. Lille, Inserm, CHU Lille, U1192, Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000, Lille, France.ORCID 0000-0002-2282-6052
Mehdi DerhourhiUniversité de Lille, Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France University of Lille, Lille, France.
Amelie BonnefondUniversité de Lille, Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France University of Lille, Lille, France.
Sébastien LeblancDepartment of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, Québec, J1E4K8, Canada.
Noé GuilloyDepartment of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, Québec, J1E4K8, Canada.
Xavier RoucouDepartment of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, Québec, J1E4K8, Canada.ORCID 0000-0001-9370-5584
Sven EyckermanVIB Center for Medical Biotechnology, VIB, Ghent, 9052, Belgium.
Kris GevaertVIB Center for Medical Biotechnology, VIB, Ghent, 9052, Belgium.
Michel Salzet *Univ. Lille, Inserm, CHU Lille, U1192, Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000, Lille, France. michel.salzet@univ-lille.fr.ORCID 0000-0003-4318-0817
Tristan Cardon *Univ. Lille, Inserm, CHU Lille, U1192, Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000, Lille, France. tristan.cardon@univ-lille.fr.ORCID 0000-0003-1751-0528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Ovarian NeoplasmsProteogenomicsProteomeCell Line, TumorFemaleHumansOpen Reading FramesProteome

Identifiers

PMID39349928
PMCPMC11442847

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.