Journal
NATURE COMMUNICATIONS
Volume 13, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41467-022-28445-y
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Funding
- Knut and Alice Wallenberg Foundation
- Royal Swedish Academy of Sciences
- Swedish Society for Medical Research
- Hans Werthen Foundation
- HFSP long term fellowship [LT000452/2019-L]
- DFG research fellowship [MA 9108/1-1]
- Klarman Cell Observatory
- Manton Foundation
- HHMI
- Broad Institute of MIT
- Broad Institute of Harvard
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The spatial organization of cells and molecules is crucial for tissue function and disease. Spatial transcriptomics, a technique for capturing and locating RNA in tissues, has been advanced with the development of a fully automated platform called Spatial Multi-Omics (SM-Omics). SM-Omics combines spatial transcriptomics and antibody-based protein measurement, allowing high-throughput analysis of multiple omics in a short time.
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 similar to 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.
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