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Updated: Aug 7, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE
Milad R Vahid1,2, Erin L Brown1,2, Chloé B Steen2,3,4
1Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
None:
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.

