Author

Christina Rode

University of OxfordORCID 0000-0002-9951-6757Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Marella F. T. R. De BruijniD· 2 shared Andrew Jarratt· 1 shared Berthold GöttgensiD· 1 shared Carolina GuibentifiD· 1 shared Daniel KeitleyiD· 1 shared Ditsa LevanoniD· 1 shared Emanuele AzzoniiD· 1 shared Fernando J. Calero‐NietoiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersDevelopmental Biology

Marella F. T. R. De BruijnORCID

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2 papers

Recent·Most cited

Developmental BiologyCell ReportsPeer-reviewedJul 30, 2026

Resolving hematopoietic stem versus progenitor cell potential in the mouse dorsal aorta by differential Runx1 +110 enhancer activity

Giorgio Anselmi, Vincent Frontera, Christina Rode…·Marella F. T. R. De Bruijn

The paper identifies a Runx1 enhancer that distinguishes hematopoietic stem cells (HSCs) from progenitor cells (HPCs) in the mouse dorsal aorta using enhancer-reporter models and single-cell multiome analysis.

DOI 10.1016/j.celrep.2026.117737

mousescRNA-seq

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Developmental BiologyDevelopmentPeer-reviewedNov 20, 2023

Tracking Early Mammalian Organogenesis - Prediction and Validation of Differentiation Trajectories at Whole Organism Scale

Iván Imaz-Rosshandler, Christina Rode, Carolina Guibentif…·Berthold Göttgens

The paper uses scRNA-Seq and computational methods to predict and validate differentiation trajectories during early mammalian organogenesis, showing agreement between computational predictions and experimental outcomes.

41 citationstop 5%

mousescRNA-seq

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