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 atla...

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Detalles Bibliográficos
Autores principales: Vahid, Milad R., Brown, Erin L., Steen, Chloé B., Zhang, Wubing, Jeon, Hyun Soo, Kang, Minji, Gentles, Andrew J., Newman, Aaron M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635828/
https://www.ncbi.nlm.nih.gov/pubmed/36879008
http://dx.doi.org/10.1038/s41587-023-01697-9
Descripción
Sumario: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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