SUPR
Spatial Immuno Profiling
Dnr:

sens2020002

Type:

SNIC SENS

Principal Investigator:

Jens Lagergren

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2020-02-27

End Date:

2025-03-01

Primary Classification:

10201: Computer Sciences

Allocation

  • Castor /proj at UPPMAX: 30000 GiB
  • Cygnus /proj at UPPMAX: 30000 GiB
  • Castor /proj/nobackup at UPPMAX: 1000 GiB
  • Cygnus /proj/nobackup at UPPMAX: 1000 GiB
  • Bianca at UPPMAX: 20 x 1000 core-h/month

Abstract

Our aim is to improve the understanding of treatment effects, ranging from those of current clinical drugs to immune system-based, on breast cancer tumors, in particular, their interaction with tumor heterogeneity. In particular, A1 Develop spatial transcriptomics (ST) technique targeting T-cell receptors (TCRs) called TCR-ST. A2 Further immuno-oncology by developing a system for assessment of killing efficiency of T-cells, effectively turning T-cells into a therapeutic option in the context of organoids. A3 Apply a multi-omics strategy, including ST, TCR-ST, and single-cell sequencing, to a well-developed clinical system for breast cancer, spanning from fine-needle samples over primary tumors samples to organoids, which will be exploited for therapy response evaluation. We do computer science.