High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 36879008.
- Also identified by DOI 10.1038/s41587-023-01697-9 and PMC identifier 10635828.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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.
Medical subject headings
- Transcriptome
- Gene Expression Profiling