SM-Omics is an automated platform for high-throughput spatial multi-omics
Name
s41467-022-28445-y.pdf
Description
Published version
Size
3.7 MB
Format
Adobe PDF
Checksum (MD5)
dcbb21c3cae2c087a1fb7bd510ff70e3
Author(s)
Vickovic, S
Lötstedt, B
Klughammer, J
Mages, S
Segerstolpe, Å
Rozenblatt-Rosen, O
Regev, A
Date Issued
2022
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Vickovic, S, Lötstedt, B, Klughammer, J, Mages, S, Segerstolpe, Å et al. 2022. "SM-Omics is an automated platform for high-throughput spatial multi-omics." Nature Communications, 13 (1).
Version
Final published version
Abstract
AbstractThe 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.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/S41467-022-28445-Y
