Author

Maria Creignou

Karolinska University HospitalORCID 0000-0002-7629-0871Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:protein structure prediction· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Eva Hellström-Lindberg· 2 shared Seishi OgawaiD· 2 shared Yasuhito NannyaiD· 2 shared Agnes J. VialeiD· 1 shared Akifumi Takaori‐KondoiD· 1 shared Alexandra Argyriou· 1 shared Alexandra G. SmithiD· 1 shared Andrea PellagattiiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersCancer Biology

Eva Hellström-Lindberg

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2 papers

Recent·Most cited

RNA splicing factor mutations drive myeloid neoplasm oncogenesis through protein complex poisoning

Pedro Luís Moura, Rui Mamede Branca, Yaroslav Kaminskiy, Ioannis Siavelis, Kovi R Shrung, Sophia Hofmann, Christina Maria Perraki, Alexandra Argyriou, Sadaf Fazeli, Masahiro M Nakagawa, Teresa Mortera Blanco, Steffen Boettcher, Caroline Kubaczka, Thorsten M. Schlaeger, Maria Creignou, , Eva Hellström-Lindberg

This study identifies how RNA splicing factor mutations drive myeloid neoplasm by disrupting proteomic networks through mis-splicing, validated via single-cell transcriptomics and proteomics.

bioRxiv · Sep 30, 2026 · PreprintCancer Biology

Implications of TP53 Allelic State for Genome Stability, Clinical Presentation and Outcomes in Myelodysplastic Syndromes

Elsa Bernard, Yasuhito Nannya, Robert Paul Hasserjian, Sean M. Devlin, Heinz Tuechler, Juan Santiago Medina-Martinez, Tetsuichi Yoshizato, Yusuke Shiozawa, Ryunosuke Saiki, Luca Malcovati, Max Fine Levine, Juan E. Arango, Yangyu Zhou, Francesc Gessé Solé, Catherine A. Cargo, , Elli Papaemmanuil

The paper examines TP53 allelic states in MDS patients, finding that bi-allelic targeting is linked to worse outcomes, while mono-allelic targeting does not differ from wild-type patients.

Nature Medicine · Aug 3, 2020Peer-reviewedGenomics