About us

StratCell is a multi-disciplinary constellation that includes key stakeholders in cell therapy and clinical cancer medicine at OUH both for adult and pediatric patients. All PIs have extended national and international networks, including roles as PIs in several EU-funded cell therapy programs and industrial partnerships with leading cell therapy companies. All partners have long-standing track records of conducting translational research, and PIs within the strategic research area have brought in-house discoveries through to Phase I/II investigator-initiated clinical immunotherapy trials.

Principal investigators CAR/TCR engineering and cell therapy

Oslo University Hospital (OUH): Karl-Johan Malmberg (Leader), Johanna Olweus (co-leader), Jon-Amund Kyte (co-leader), Arne Kolstad, Dag Josefson, Geir Tjønnfjord, Tobias Gedde-Dahl, Jochen Büchner, Anders Tveita, and Ludvig Munthe. Representing (KRE and Pediatrics) and within KRE (Hematology, IKF and AKB).

Clinical partners

OUH: Bjørn Naume (Breast), Åslaug Helland (Lung), Kjetil Boye (Sarcoma), Harald Holte (Lymphoma), Iver Langmoen (Neuro) and Kristine Engen Andreassen (Urology). 

Key international partners 

Karolinska Institute (KI):  Hans-Gustaf Ljunggren, Eva Hellström-Lindberg and Stefan Mielke. The Netherlands Cancer Institute: Ton Schumacher (TS). University of California SD (UCSD), Dan Kaufman, University of Minnesota, Jeff Miller. MSKCC: Michel Sadelain and Isabelle Retière, 

Together the scientists and physicians brought together in STRAT-CELL have a broad expertise in cancer immunology and immunotherapy and we anticipate synergies in terms of sharing of methodological platforms. 

Methodological platforms

Immune profiling platform

  • Single cell RNASeq
  • Single cell T cell receptor (TCR) sequencing
  • High-throughput TCR identification
  • High-resolution flow cytometry (16 color)
  • Mass cytometry (CyTOF)
  • Spatial transcriptomics
  • Cell differentiation assays (iPS, hESC)
  • In vivo models PDX.

Bioinformatics platform

In house developed algorithms for: 

  • Prediction of immune cell infiltration
  • High-dimensional single cell analysis
  • New computational tools for integration of omics profiling

 

 
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