High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE

Recent studies have emphasized the importance of single-cell spatial biology, yet available assays for spatial transcriptomics have limited gene recovery or low spatial resolution. Here we introduce CytoSPACE, an optimization method for mapping individual cells from a single-cell RNA sequencing atlas to spatial expression profiles. Across diverse platforms and tissue types, we show that CytoSPACE outperforms previous methods with respect to noise tolerance and accuracy, enabling tissue cartography at single-cell resolution.

• AA
  American Association for Cancer Research

  Awards: 19-40-12-STEE, 19-40-12
• VA
  Virginia and D.K. Ludwig Fund for Cancer Research
• DE
  Donald E. and Delia B. Baxter Foundation
• K
  Kreftforeningen
• NC
  National Cancer Institute

  Awards: R01CA255450, R21CA238971, R00CA187192