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

<jats:title>Abstract</jats:title><jats:p>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. Her...

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Bibliographic Details
Main Authors: Vickovic, S, Lötstedt, B, Klughammer, J, Mages, S, Segerstolpe, Å, Rozenblatt-Rosen, O, Regev, A
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2023
Online Access:https://hdl.handle.net/1721.1/147099
Description
Summary:<jats:title>Abstract</jats:title><jats:p>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.</jats:p>