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Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity.

Michael Y FatemiYunrui LuCyril SharmaEric FengZarif L AzherAlos B DialloGokul SrinivasanGrace M RosnerKelli B PointerBrock C ChristensenLucas A SalasGregory J TsongalisScott M PalisoulLaurent PerreardFred W KollingLouis J VaickusJoshua J Levy
Published in: medRxiv : the preprint server for health sciences (2023)
This innovative approach augments the resolution of spatial molecular assays utilizing histology as a sole input through synergistic co-mapping of histological and transcriptomic datasets at the single-cell level, anchored by spatial transcriptomics. While initial results are promising, they warrant rigorous validation. This includes collaborating with pathologists for precise spatial identification of distinct cell types and utilizing sophisticated assays, such as Xenium, to attain deeper subcellular insights.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • high resolution
  • single molecule
  • stem cells
  • mesenchymal stem cells
  • cancer therapy
  • high density