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dc.contributor.authorVickovic, S
dc.contributor.authorLötstedt, B
dc.contributor.authorKlughammer, J
dc.contributor.authorMages, S
dc.contributor.authorSegerstolpe, Å
dc.contributor.authorRozenblatt-Rosen, O
dc.contributor.authorRegev, A
dc.date.accessioned2023-01-13T15:33:02Z
dc.date.available2023-01-13T15:33:02Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/147099
dc.description.abstract<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>en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/S41467-022-28445-Yen_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleSM-Omics is an automated platform for high-throughput spatial multi-omicsen_US
dc.typeArticleen_US
dc.identifier.citationVickovic, 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).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.relation.journalNature Communicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-01-13T15:22:28Z
dspace.orderedauthorsVickovic, S; Lötstedt, B; Klughammer, J; Mages, S; Segerstolpe, Å; Rozenblatt-Rosen, O; Regev, Aen_US
dspace.date.submission2023-01-13T15:22:31Z
mit.journal.volume13en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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