Nature · 2023 · 198 citations · 79 references
Life SciencesCell BiologyMolecular BiologyGene ExpressionGenomicsTranscriptomicsSingle-cell GenomicsSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsSpatial Single-cell AnalysisSpatial TranscriptomicsBrain NucleiEpigenetic RegulationSingle-cell Spatial ProfilingSingle-nucleus Rna SequencingSingle-nucleus SequencingSingle-nucleus TranscriptomicsSpatial Gene Expression MappingWhole Transcriptome Analysis
. However, missing from these measurements is the ability to routinely and easily spatially localize these profiled cells. We developed a strategy, Slide-tags, in which single nuclei within an intact tissue section are tagged with spatial barcode oligonucleotides derived from DNA-barcoded beads with known positions. These tagged nuclei can then be used as an input into a wide variety of single-nucleus profiling assays. Application of Slide-tags to the mouse hippocampus positioned nuclei at less than 10 μm spatial resolution and delivered whole-transcriptome data that are indistinguishable in quality from ordinary single-nucleus RNA-sequencing data. To demonstrate that Slide-tags can be applied to a wide variety of human tissues, we performed the assay on brain, tonsil and melanoma. We revealed cell-type-specific spatially varying gene expression across cortical layers and spatially contextualized receptor-ligand interactions driving B cell maturation in lymphoid tissue. A major benefit of Slide-tags is that it is easily adaptable to almost any single-cell measurement technology. As a proof of principle, we performed multiomic measurements of open chromatin, RNA and T cell receptor (TCR) sequences in the same cells from metastatic melanoma, identifying transcription factor motifs driving cancer cell state transitions in spatially distinct microenvironments. Slide-tags offers a universal platform for importing the compendium of established single-cell measurements into the spatial genomics repertoire.
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