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dc.contributor.authorGenshaft, Alex S
dc.contributor.authorZiegler, Carly GK
dc.contributor.authorTzouanas, Constantine N
dc.contributor.authorMead, Benjamin E
dc.contributor.authorJaeger, Alex M
dc.contributor.authorNavia, Andrew W
dc.contributor.authorKing, Ryan P
dc.contributor.authorMana, Miyeko D
dc.contributor.authorHuang, Siyi
dc.contributor.authorMitsialis, Vanessa
dc.contributor.authorSnapper, Scott B
dc.contributor.authorYilmaz, Ömer H
dc.contributor.authorJacks, Tyler
dc.contributor.authorVan Humbeck, Jeffrey F
dc.contributor.authorShalek, Alex K
dc.date.accessioned2022-03-18T14:07:59Z
dc.date.available2022-03-18T14:07:59Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/141279
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>A cell’s phenotype and function are influenced by dynamic interactions with its microenvironment. To examine cellular spatiotemporal activity, we developed SPACECAT—Spatially PhotoActivatable Color Encoded Cell Address Tags—to annotate, track, and isolate cells while preserving viability. In SPACECAT, samples are stained with photocaged fluorescent molecules, and cells are labeled by uncaging those molecules with user-patterned near-UV light. SPACECAT offers single-cell precision and temporal stability across diverse cell and tissue types. Illustratively, we target crypt-like regions in patient-derived intestinal organoids to enrich for stem-like and actively mitotic cells, matching literature expectations. Moreover, we apply SPACECAT to ex vivo tissue sections from four healthy organs and an autochthonous lung tumor model. Lastly, we provide a computational framework to identify spatially-biased transcriptome patterns and enriched phenotypes. This minimally perturbative and broadly applicable method links cellular spatiotemporal and/or behavioral phenotypes with diverse downstream assays, enabling insights into the connections between tissue microenvironments and (dys)function.</jats:p>en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/S41467-021-25279-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.titleLive cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyesen_US
dc.typeArticleen_US
dc.identifier.citationGenshaft, Alex S, Ziegler, Carly GK, Tzouanas, Constantine N, Mead, Benjamin E, Jaeger, Alex M et al. 2021. "Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes." Nature Communications, 12 (1).
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistry
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentRagon Institute of MGH, MIT and Harvard
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
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.updated2022-03-18T14:04:46Z
dspace.orderedauthorsGenshaft, AS; Ziegler, CGK; Tzouanas, CN; Mead, BE; Jaeger, AM; Navia, AW; King, RP; Mana, MD; Huang, S; Mitsialis, V; Snapper, SB; Yilmaz, ÖH; Jacks, T; Van Humbeck, JF; Shalek, AKen_US
dspace.date.submission2022-03-18T14:04:49Z
mit.journal.volume12en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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