Evidence map›Paper›PMID 39493730›Full record

ArticleBiomarker insights2024

The Chromosome Passenger Complex (CPC) Components and Its Associated Pathways Are Promising Candidates to Differentiate Between Normosensitive and Radiosensitive ATM-Mutated Cells.

Anne Dietz, Prabal Subedi, Omid Azimzadeh, Lukas Duchrow, Felix Kaestle, Juliane Paetzold, Sarah Katharina Payer, Sabine Hornhardt, Christine von Toerne, Stefanie M Hauck and 6 more

Abstract read
In one paragraph

Article in Biomarker insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Anne DietzSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.
Prabal SubediSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.ORCID https://orcid.org/0000-0002-5661-3776
Omid AzimzadehSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.
Lukas DuchrowSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.
Felix KaestleSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.
Juliane PaetzoldSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.
Sarah Katharina PayerSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.
Sabine HornhardtSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.
Christine von ToerneHelmholtz Zentrum München, German Research Centre for Environmental Health (GmbH) Core Facility Metabolomics and Proteomics, Munich, Germany.ORCID https://orcid.org/0000-0002-4132-4322
Stefanie M HauckHelmholtz Zentrum München, German Research Centre for Environmental Health (GmbH) Core Facility Metabolomics and Proteomics, Munich, Germany.ORCID https://orcid.org/0000-0002-1630-6827
Bettina KempkesHelmholtz Zentrum Munich, Research Unit Gene Vectors, Munich, Germany.
Cornelia Kuklik-RoosHelmholtz Zentrum Munich, Research Unit Gene Vectors, Munich, Germany.
Danielle BrandesDepartment of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Center for Child and Adolescent Health, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Arndt BorkhardtDepartment of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Center for Child and Adolescent Health, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Simone MoertlSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.
Maria GomolkaSection Radiation Biology, Federal Office for Radiation Protection/Bundesamt für Strahlenschutz, Oberschleißheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sensitivity to ionizing radiation differs between individuals, but there is a limited understanding of the biological mechanisms that account for these variations. One example of such mechanisms are the mutations in the ATM (mutated ataxia telangiectasia) gene, that cause the rare recessively inherited disease Ataxia telangiectasia (AT). Hallmark features include chromosomal instability and increased sensitivity to ionizing radiation (IR). Objectives: To deepen the molecular understanding of radiosensitivity and to identify potential new markers to predict it, human ATM-mutated and proficient cells were compared on a proteomic level. Design: In this study, we analyzed 3 cell lines from AT patients, with varying radiosensitivity, and 2 cell lines from healthy volunteers, 24 hours and 72 hours post-10 Gy irradiation. Methods: We used label-free mass spectrometry to identify differences in signaling pathways after irradiation in normal and radiosensitive individuals. Cell viability was initially determined by water soluble tetrazolium (WST) assay and DNA damage response was analyzed with 53BP1 repair foci formation along with KRAB-associated protein 1 (KAP1) phosphorylation. Results: Proteomic analysis identified 4028 proteins, which were used in subsequent in silico pathway enrichment analysis to predict affected biological pathways post-IR. In AT cells, networks were heterogeneous at both time points with no common pathway identified. Mitotic cell cycle progress was the most prominent pathway altered after IR in cells from healthy donors. In particular, components of the chromosome passenger complex (INCENP and CDCA8) were significantly downregulated after 72 hours. This could also be verified at the mRNA level. Conclusion: Altogether, the most striking result was that proteins forming the chromosome passenger complex were downregulated after radiation exposure in healthy normosensitive control cells, but not in radiosensitive ATM-deficient cells. Thus, mitosis-associated proteins form an interesting compound to gain insights into the development and prediction of radiosensitivity.

Indexed as

AT mutationchromosome passenger complexmass spectrometry-based proteomicsRadiosensitivity

Identifiers

PMID39493730
PMCPMC11528597

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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.