Author

Daphne de Jong

Amsterdam University Medical CentersORCID 0000-0002-9725-4060Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Daphne de Jong2 papers · Naturalis Biodiversity Center

Biology Disciplines

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Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Alan GerberiD· 1 shared Bauke YlstraiD· 1 shared Chantal ScheepbouweriD· 1 shared Cristina Gómez‐MartíniD· 1 shared Daniella R. A. I. Berry· 1 shared Dirk Michiel PegteliD· 1 shared Erik Bosch· 1 shared Ernesto Aparicio‐PuertaiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMolecular Biology

Alan GerberORCID

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2 papers

Recent·Most cited

Full-length tRNAs lacking a functional CCA tail are selectively sorted into the lumen of extracellular vesicles

Chantal Scheepbouwer, Ernesto Aparicio‐Puerta, Cristina Gómez‐Martín, Monique A.J. van Eijndhoven, Esther E.E. Drees, Leontien Bosch, Daphne de Jong, Thomas D. Wurdinger, Josée M. Zijlstra, Michael Hackenberg, Alan Gerber, Dirk Michiel Pegtel

The paper identifies that full-length tRNAs with truncated CCA tails are selectively sorted into extracellular vesicles, suggesting a new mechanism for EV cargo selection.

bioRxiv · May 12, 2024 · PreprintMolecular Biology

Multi-scale spatial modeling of immune cell distributions enables survival prediction in primary central nervous system lymphoma

Margaretha G.M. Roemer, Tim van de Brug, Erik Bosch, Daniella R. A. I. Berry, Nathalie J. Hijmering, Phylicia Stathi, Karin Weijers, Jeanette K. Doorduijn, Jacoline E. C. Bromberg, Mark A. van de Wiel, Bauke Ylstra, Daphne de Jong, Yongsoo Kim

The paper develops a computational framework to analyze spatial interactions in tumor microenvironments and shows that spatial context predicts survival in primary central nervous system lymphoma.

iScience · Jul 10, 2023Peer-reviewedSystems Biology