SM-Omics is an automated platform for high-throughput spatial multi-omics

S. Vickovic (), B. Lötstedt, J. Klughammer, S. Mages, Å Segerstolpe, O. Rozenblatt-Rosen and A. Regev ()
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S. Vickovic: Klarman Cell Observatory Broad Institute of MIT and Harvard
B. Lötstedt: Klarman Cell Observatory Broad Institute of MIT and Harvard
J. Klughammer: Klarman Cell Observatory Broad Institute of MIT and Harvard
S. Mages: Klarman Cell Observatory Broad Institute of MIT and Harvard
Å Segerstolpe: Klarman Cell Observatory Broad Institute of MIT and Harvard
O. Rozenblatt-Rosen: Klarman Cell Observatory Broad Institute of MIT and Harvard
A. Regev: Klarman Cell Observatory Broad Institute of MIT and Harvard

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: Abstract The spatial organization of cells and molecules plays a key role in tissue function in homeostasis and disease. Spatial transcriptomics has recently emerged as a key technique to capture and positionally barcode RNAs directly in tissues. Here, we advance the application of spatial transcriptomics at scale, by presenting Spatial Multi-Omics (SM-Omics) as a fully automated, high-throughput all-sequencing based platform for combined and spatially resolved transcriptomics and antibody-based protein measurements. SM-Omics uses DNA-barcoded antibodies, immunofluorescence or a combination thereof, to scale and combine spatial transcriptomics and spatial antibody-based multiplex protein detection. SM-Omics allows processing of up to 64 in situ spatial reactions or up to 96 sequencing-ready libraries, of high complexity, in a ~2 days process. We demonstrate SM-Omics in the mouse brain, spleen and colorectal cancer model, showing its broad utility as a high-throughput platform for spatial multi-omics.

Date: 2022
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DOI: 10.1038/s41467-022-28445-y

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