Cargando…
SM-Omics is an automated platform for high-throughput spatial multi-omics
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...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831571/ https://www.ncbi.nlm.nih.gov/pubmed/35145087 http://dx.doi.org/10.1038/s41467-022-28445-y |
_version_ | 1784648534485630976 |
---|---|
author | Vickovic, S. Lötstedt, B. Klughammer, J. Mages, S. Segerstolpe, Å Rozenblatt-Rosen, O. Regev, A. |
author_facet | Vickovic, S. Lötstedt, B. Klughammer, J. Mages, S. Segerstolpe, Å Rozenblatt-Rosen, O. Regev, A. |
author_sort | Vickovic, S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8831571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88315712022-03-04 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. Nat Commun Article 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. Nature Publishing Group UK 2022-02-10 /pmc/articles/PMC8831571/ /pubmed/35145087 http://dx.doi.org/10.1038/s41467-022-28445-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831571/ https://www.ncbi.nlm.nih.gov/pubmed/35145087 http://dx.doi.org/10.1038/s41467-022-28445-y |
work_keys_str_mv | AT vickovics smomicsisanautomatedplatformforhighthroughputspatialmultiomics AT lotstedtb smomicsisanautomatedplatformforhighthroughputspatialmultiomics AT klughammerj smomicsisanautomatedplatformforhighthroughputspatialmultiomics AT magess smomicsisanautomatedplatformforhighthroughputspatialmultiomics AT segerstolpea smomicsisanautomatedplatformforhighthroughputspatialmultiomics AT rozenblattroseno smomicsisanautomatedplatformforhighthroughputspatialmultiomics AT regeva smomicsisanautomatedplatformforhighthroughputspatialmultiomics |