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

> 商业许可源文 · EUROPE_PMC · [CC-BY](https://creativecommons.org/licenses/by/)

书目信息

引用：Vahid MR, Brown EL, Steen CB, Zhang W, Jeon HS, Kang M, Gentles AJ, Newman AM. (2023). High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE. Nature biotechnology. PMID 36879008 · PMC10635828 · DOI 10.1038/s41587-023-01697-9

证据类型：PRIMARY_RESEARCH

主题：rna-seq、single-cell、spatial-omics

被引次数（采集时）：162

原始记录：[Europe PMC](https://europepmc.org/article/MED/36879008)

来源许可：[CC-BY](https://creativecommons.org/licenses/by/)

作者摘要（按来源许可复用）

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.

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