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A robust experimental and computational analysis framework at multiple resolutions, modalities and coverages.

M Tran1, S Yoon2, M Teoh1,3

  • 1Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.

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Summary
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This study presents a new framework for discovering cancer cell communication pathways using integrated spatial transcriptomics and multiplex protein staining. This approach enhances the identification of potential drug targets for cancer immunotherapy.

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Area of Science:

  • Oncology
  • Immunology
  • Bioinformatics

Background:

  • Understanding cancer-immune cell communication is crucial for developing effective cancer immunotherapies.
  • Identifying molecular mechanisms and druggable targets requires studying cellular crosstalk within the tumor microenvironment.

Purpose of the Study:

  • To develop and evaluate an integrated experimental and analytical framework for genome-wide discovery and validation of ligand-receptor interactions in solid tumors.
  • To enable the study of cancer-immune cell communication across whole tumor sections without dissociation.

Main Methods:

  • Integrated assessment of single-cell RNA sequencing, spatial transcriptomics, RNAscope, and Opal Polaris multiplex protein staining.
  • Development of STRISH (Spatial TRanscriptomic In Situ Hybridization) computational method for analyzing multimodal spatial data.
  • In-situ validation of cell-cell interactions in basal cell carcinoma and squamous cell carcinoma models.

Main Results:

  • Inference of cell-cell interactions using scRNA-seq data can lead to false positives.
  • Spatial transcriptomics reduces false discoveries but may miss lowly expressed interactions.
  • RNAscope and Polaris, coupled with STRISH, provide sensitive and validated identification of ligand-receptor interactions in situ.

Conclusions:

  • The integrated framework and STRISH method enable accurate discovery and validation of cell-cell interactions within intact tumor tissues.
  • This approach is expected to be widely applicable for identifying therapeutic targets in various solid cancers.