Published June 4, 2026 | Version v1
Dataset Open

Spatially-resolved single-cell imaging of melanoma brain metastases identifies localized immune patterns predictive of immune checkpoint blockade response

Authors/Creators

  • 1. EDMO icon University of Zurich
  • 2. EDMO icon ETH Zürich
  • 3. ROR icon University Hospital of Zurich

Description

sce - SingleCellExperiment object with the processed single-cell data and the respective cell type and clinical annotations

masks / images - CytoImageList objects as produced by the R cytomapper package

Files

Files (4.0 GB)

Name Size
md5:77594dabd21e85e57a5a823392cdd12e
2.1 GB Download
md5:e78be9fbdf67b9b0b0e8d00006bb01f7
28.8 MB Download
md5:d6b9b79362a786e85d4025ced0af0607
1.9 GB Download

Additional details

Related works

Is supplement to
Publication: 10.1093/neuonc/noag128 (DOI)

References

  • Voglis, S., Schulz, D., Eling, N., De Souza, N., Regli, L., Neidert, M. C., Czabanka, M., Weller, M., Le Rhun, E., Mihic-Probst, D., Levesque, M., & Bodenmiller, B. (2026). Spatially-resolved single-cell imaging of melanoma brain metastases identifies localized immune patterns predictive of immune checkpoint blockade response. Neuro-oncology, noag128. Advance online publication. doi:10.1093/neuonc/noag128
  • Eling N, Damond N, Hoch T, Bodenmiller B (2020). "cytomapper: an R/Bioconductor package for visualisation of highly multiplexed imaging data." Bioinformatics. doi:10.1093/bioinformatics/btaa1061.