Nature CommunicationsGenomicsPeer-reviewed journal article
SM-Omics: An automated platform for high-throughput spatial multi-omics
Sanja VickovićiD, Britta LötstedtiD, Johanna KlughammeriD, Simon MagesiD, Åsa SegerstolpeiD, Orit Rozenblatt–RoseniD, Aviv RegeviD
Abstract
The spatial organization of cells and molecules plays a key role in tissue function in homeostasis and disease. Spatial Transcriptomics (ST) has recently emerged as a key technique to capture and positionally barcode RNAs directly in tissues. Here, we advance the application of ST at scale, by presenting Spatial Multiomics (SM-Omics) as a fully automated high-throughput platform for combined and spatially resolved transcriptomics and antibody-based proteomics.
- assay: spatial transcriptomics
- assay: proteomics
- research focus: database / resource
- research focus: software / tool
- approach: experimental assay
- Citations
- 197
- FWCI
- 12.32
- Field percentile
- top 1%
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