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dc.contributor.authorWeinstein, Joshua A.
dc.contributor.authorRegev, Aviv
dc.contributor.authorZhang, Feng
dc.date.accessioned2022-03-23T15:28:46Z
dc.date.available2021-10-27T20:09:07Z
dc.date.available2022-03-23T15:28:46Z
dc.date.issued2019-06
dc.date.submitted2019-02
dc.identifier.issn0092-8674
dc.identifier.urihttps://hdl.handle.net/1721.1/134778.2
dc.description.abstractAnalyzing the spatial organization of molecules in cells and tissues is a cornerstone of biological research and clinical practice. However, despite enormous progress in molecular profiling of cellular constituents, spatially mapping them remains a disjointed and specialized machinery-intensive process, relying on either light microscopy or direct physical registration. Here, we demonstrate DNA microscopy, a distinct imaging modality for scalable, optics-free mapping of relative biomolecule positions. In DNA microscopy of transcripts, transcript molecules are tagged in situ with randomized nucleotides, labeling each molecule uniquely. A second in situ reaction then amplifies the tagged molecules, concatenates the resulting copies, and adds new randomized nucleotides to uniquely label each concatenation event. An algorithm decodes molecular proximities from these concatenated sequences and infers physical images of the original transcripts at cellular resolution with precise sequence information. Because its imaging power derives entirely from diffusive molecular dynamics, DNA microscopy constitutes a chemically encoded microscopy system. DNA microscopy is an optics-free imaging method based on chemical reactions and a computational algorithm to infer spatial organization of transcripts while simultaneously preserving full sequence information.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.cell.2019.05.019en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleDNA Microscopy: Optics-free Spatio-genetic Imaging by a Stand-Alone Chemical Reactionen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentHoward Hughes Medical Institute
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.relation.journalCellen_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.updated2020-07-20T14:43:56Z
dspace.orderedauthorsWeinstein, JA; Regev, A; Zhang, Fen_US
dspace.date.submission2020-07-20T14:44:27Z
mit.journal.volume178en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work Neededen_US


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