p53 target ANKRA2 cooperates with RFX7 to regulate tumor suppressor genes.


Journal

Cell death discovery
ISSN: 2058-7716
Titre abrégé: Cell Death Discov
Pays: United States
ID NLM: 101665035

Informations de publication

Date de publication:
24 Aug 2024
Historique:
received: 04 05 2024
accepted: 14 08 2024
revised: 07 08 2024
medline: 26 8 2024
pubmed: 26 8 2024
entrez: 24 8 2024
Statut: epublish

Résumé

The transcription factor regulatory factor X 7 (RFX7) has been identified as a tumor suppressor that is recurrently mutated in lymphoid cancers and appears to be dysregulated in many other cancers. RFX7 is activated by the well-known tumor suppressor p53 and regulates several other known tumor suppressor genes. However, what other factors regulate RFX7 and its target genes remains unclear. Here, reporter gene assays were used to identify that RFX7 regulates the tumor suppressor gene PDCD4 through direct interaction with its X-box promoter motif. We utilized mass spectrometry to identify factors that bind to DNA together with RFX7. In addition to RFX7, we also identified RFX5, RFXAP, RFXANK, and ANKRA2 that bind to the X-box motif in the PDCD4 promoter. We demonstrate that ANKRA2 is a bona fide direct p53 target gene. We used transcriptome analyses in two cell systems to identify genes regulated by ANKRA2, its sibling RFXANK, and RFX7. These results revealed that ANKRA2 functions as a critical cofactor of RFX7, whereas RFXANK regulates largely distinct gene sets.

Identifiants

pubmed: 39181888
doi: 10.1038/s41420-024-02149-2
pii: 10.1038/s41420-024-02149-2
doi:

Types de publication

Journal Article

Langues

eng

Pagination

376

Subventions

Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : FI 1993/2-1
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : FI 1993/7-1
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 031L016D

Informations de copyright

© 2024. The Author(s).

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Auteurs

Katjana Schwab (K)

Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.

Konstantin Riege (K)

Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.

Luis Coronel (L)

Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.

Clara Stanko (C)

Klinik für Innere Medizin II, Jena University Hospital, Comprehensive Cancer Center Central Germany, Jena, Germany.
Institute of Molecular Cell Biology, Center for Molecular Biomedicine Jena (CMB), Jena University Hospital, Jena, Germany.

Silke Förste (S)

Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.

Steve Hoffmann (S)

Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany. Steve.Hoffmann@leibniz-fli.de.

Martin Fischer (M)

Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany. Martin.Fischer@leibniz-fli.de.

Classifications MeSH