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High-definition spatial transcriptomics for in situ tissue profiling

dc.contributor.authorVickovic, Sanja
dc.contributor.authorEraslan, Gökcen
dc.contributor.authorSalmén, Fredrik
dc.contributor.authorKlughammer, Johanna
dc.contributor.authorStenbeck, Linnea
dc.contributor.authorSchapiro, Denis
dc.contributor.authorÄijö, Tarmo
dc.contributor.authorBonneau, Richard
dc.contributor.authorBergenstråhle, Ludvig
dc.contributor.authorNavarro, José Fernandéz
dc.contributor.authorGould, Joshua
dc.contributor.authorGriffin, Gabriel K.
dc.contributor.authorBorg, Åke
dc.contributor.authorRonaghi, Mostafa
dc.contributor.authorFrisén, Jonas
dc.contributor.authorLundeberg, Joakim
dc.contributor.authorRegev, Aviv
dc.contributor.authorStåhl, Patrik L.
dc.date.accessioned2020-06-30T21:35:49Z
dc.date.available2020-06-30T21:35:49Z
dc.date.issued2019-09
dc.date.submitted2019-03
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttps://hdl.handle.net/1721.1/126032
dc.description.abstractSpatial and molecular characteristics determine tissue function, yet high-resolution methods to capture both concurrently are lacking. Here, we developed high-definition spatial transcriptomics, which captures RNA from histological tissue sections on a dense, spatially barcoded bead array. Each experiment recovers several hundred thousand transcript-coupled spatial barcodes at 2-μm resolution, as demonstrated in mouse brain and primary breast cancer. This opens the way to high-resolution spatial analysis of cells and tissues.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/s41592-019-0548-yen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleHigh-definition spatial transcriptomics for in situ tissue profilingen_US
dc.typeArticleen_US
dc.identifier.citationVickovic, Sanja et al. "High-definition spatial transcriptomics for in situ tissue profiling." Nature Methods 16, 10 (September 2019): 987–990 © 2019 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journalNature Methodsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-03-17T18:00:43Z
dspace.date.submission2020-03-17T18:00:52Z
mit.journal.volume16en_US
mit.journal.issue10en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusComplete


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