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Philip Lijnzaad

Senior Postdoc
  • Single Cell Genomics
A candy shop of data: the joys and challenges of single-cell bioinformatics

The data generated at the single-cell facility is a veritable candy shop for a bioinformation such as myself: rich, becoming more complex at a fast pace, voluminous, and of course tremendously valuable in helping understand the processes causing and promoting diverse childhood cancer types. Generating and processing this data needs tender love and care, and some clever, tricks to remain manageable. And this is even before any analysis has started! I am involved in all these ‘dry-lab’ aspects. To be reproduceable and efficient, we have to automate as much as possible, which in itself is a fun and rewarding process. Subsequently helping researchers make sense of this data is the icing on the cake. It helps, in this respect, to have been in this field for a fairly long time, with knowledge covering many fields of biology, mathematics, statistics, as well as having picked up much IT expertise. 

  • An engineered tumor organoid model reveals cellular identity and signaling trajectories underlying SFPQ-TFE3 driven translocation RCC

    • apr. 2025
    • Maroussia M.P., Ganpat, et al
    • iScience
  • Organoid Modeling of Mouse Anterior Tongue Epithelium Reveals Regional and Cellular Identities

    • jan. 2025
    • Seok Young, Kim, et al
    • Advanced Science
  • Divergent WNT signaling and drug sensitivity profiles within hepatoblastoma tumors and organoids

    • dec. 2024
    • Thomas A., Kluiver, et al
    • Nature communications
  • Divergent WNT signaling and drug sensitivity profiles within hepatoblastoma tumors and organoids

    • nov. 2024
    • Thomas A, Kluiver, et al
    • Nature communications
  • Integrative analysis of neuroblastoma by single-cell RNA sequencing identifies the NECTIN2-TIGIT axis as a target for immunotherapy

    • feb. 2024
    • Judith, Wienke, et al
    • Cancer Cell
View all publications