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...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC
2023
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| Online Access: | https://hdl.handle.net/1721.1/147099 |
| _version_ | 1811084038924926976 |
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| author | Vickovic, S Lötstedt, B Klughammer, J Mages, S Segerstolpe, Å Rozenblatt-Rosen, O Regev, A |
| author2 | Massachusetts Institute of Technology. Department of Biology |
| author_facet | Massachusetts Institute of Technology. Department of Biology Vickovic, S Lötstedt, B Klughammer, J Mages, S Segerstolpe, Å Rozenblatt-Rosen, O Regev, A |
| author_sort | Vickovic, S |
| collection | MIT |
| description | <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> |
| first_indexed | 2024-09-23T12:43:41Z |
| format | Article |
| id | mit-1721.1/147099 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:43:41Z |
| publishDate | 2023 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1470992023-01-14T03:24:33Z SM-Omics is an automated platform for high-throughput spatial multi-omics Vickovic, S Lötstedt, B Klughammer, J Mages, S Segerstolpe, Å Rozenblatt-Rosen, O Regev, A Massachusetts Institute of Technology. Department of Biology <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> 2023-01-13T15:33:02Z 2023-01-13T15:33:02Z 2022 2023-01-13T15:22:28Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/147099 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). en 10.1038/S41467-022-28445-Y Nature Communications Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Springer Science and Business Media LLC Nature |
| spellingShingle | Vickovic, S Lötstedt, B Klughammer, J Mages, S Segerstolpe, Å Rozenblatt-Rosen, O Regev, A SM-Omics is an automated platform for high-throughput spatial multi-omics |
| title | SM-Omics is an automated platform for high-throughput spatial multi-omics |
| title_full | SM-Omics is an automated platform for high-throughput spatial multi-omics |
| title_fullStr | SM-Omics is an automated platform for high-throughput spatial multi-omics |
| title_full_unstemmed | SM-Omics is an automated platform for high-throughput spatial multi-omics |
| title_short | SM-Omics is an automated platform for high-throughput spatial multi-omics |
| title_sort | sm omics is an automated platform for high throughput spatial multi omics |
| url | https://hdl.handle.net/1721.1/147099 |
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