Functionally dominant hotspot mutations of mitochondrial ribosomal RNA genes in cancer.

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Bibliographic Details
Title: Functionally dominant hotspot mutations of mitochondrial ribosomal RNA genes in cancer.
Authors: Boscenco S; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Department of Physiology, Biophysics, and Systems Biology, Weill Cornell Medicine, New York, NY, USA., Tait-Mulder J; Cancer Research UK Scotland Institute, Glasgow, UK., Kim M; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Tang C; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Park T; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., McNulty F; Cancer Research UK Scotland Institute, Glasgow, UK., Lilla S; Cancer Research UK Scotland Institute, Glasgow, UK., Zanivan S; Cancer Research UK Scotland Institute, Glasgow, UK.; School of Cancer Sciences, University of Glasgow, Glasgow, UK.; Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX, USA., Huerta-Uribe A; School of Cancer Sciences, University of Glasgow, Glasgow, UK., Nalbant B; Department of Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Zucker M; Department of Pathology, New York University, New York, NY, USA., Sumpton D; Cancer Research UK Scotland Institute, Glasgow, UK., Monteuuis G; Department of Biochemistry and Developmental Biology, University of Helsinki, Helsinki, Finland., Jackson CB; Department of Biochemistry and Developmental Biology, University of Helsinki, Helsinki, Finland., Wei W; Department of Clinical Neuroscience, School of Clinical Medicine, University of Cambridge, Cambridge, UK.; Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK., Chinnery PF; Department of Clinical Neuroscience, School of Clinical Medicine, University of Cambridge, Cambridge, UK.; Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK., Chaligne R; Department of Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Lareau CA; Department of Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Reznik E; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. reznike@mskcc.org., Gammage PA; Cancer Research UK Scotland Institute, Glasgow, UK. payam.gammage@glasgow.ac.uk.; School of Cancer Sciences, University of Glasgow, Glasgow, UK. payam.gammage@glasgow.ac.uk.
Source: Nature genetics [Nat Genet] 2025 Nov; Vol. 57 (11), pp. 2705-2714. Date of Electronic Publication: 2025 Nov 03.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Co Country of Publication: United States NLM ID: 9216904 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1718 (Electronic) Linking ISSN: 10614036 NLM ISO Abbreviation: Nat Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-1718
DOI:10.1038/s41588-025-02374-0