Spotiphy enables single-cell spatial whole transcriptomics across the entire section

Yang, J.; Zheng, Z.; Jiao, Y.; Yu, K.; Bhatara, S.; Yang, X.; Natarajan, S.; Zhang, J.; Easton, J.; Yan, K.-K.; Peng, J.; Liu, K.; Yu, J.

doi:10.1101/2024.11.11.623040

bioRxiv · 10.1101/2024.11.11.623040

Spotiphy enables single-cell spatial whole transcriptomics across the entire section

Yang, J.·Zheng, Z.·Jiao, Y.·Yu, K.·Bhatara, S.·Yang, X.·Natarajan, S.·Zhang, J.·Easton, J.·Yan, K.-K.·Peng, J.·Liu, K.·Yu, J.

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Abstract

Spatial transcriptomics (ST) has advanced our understanding of tissue regionalization by enabling the visualization of gene expression within whole tissue sections1, but the approach remains dogged by the challenge of achieving single-cell resolution without sacrificing whole genome coverage2,3. Here we present Spotiphy (Spot imager with pseudo single-cell resolution histology), a novel computational toolkit that transforms sequencing-based ST data into single-cell-resolved whole-transcriptome images. In evaluations with Alzheimers disease (AD) and normal mouse brains, Spotiphy delivers the most precise cellular compositions. For the first time, Spotiphy reveals novel astrocyte regional specification in mouse brains. It distinguishes sub-populations of DAM (Disease-Associated Microglia) located in different AD mouse brain regions. Spotiphy also identifies multiple spatial domains as well as changes in the patterns of tumor-tumor microenvironment interactions using human breast ST data. Spotiphy enables visualization of cell localization and gene expression in tissue sections, offering key insights into the function of complex biological systems.

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Yang, J., Zheng, Z., Jiao, Y., Yu, K., Bhatara, S., Yang, X., Natarajan, S., Zhang, J., Easton, J., Yan, K.-K., Peng, J., Liu, K., Yu, J.. 2024-11-12. Spotiphy enables single-cell spatial whole transcriptomics across the entire section. https://doi.org/10.1101/2024.11.11.623040

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