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dc.contributor.authorLin, Jia-Ren
dc.contributor.authorRashid, Rumana
dc.contributor.authorMaliga, Zoltan
dc.contributor.authorIzar, Benjamin
dc.contributor.authorSantagata, Sandro
dc.contributor.authorDu, Ziming
dc.contributor.authorWang, Shu
dc.contributor.authorAster, Jon
dc.contributor.authorSonger, Peter
dc.date.accessioned2019-12-18T16:57:29Z
dc.date.issued2019-09-18
dc.identifier.citationDu, Ziming, Jia-Ren Lin, Rumana Rashid, Zoltan Maliga, Shu Wang, Jon C. Aster, Benjamin Izar, Peter K. Sorger, and Sandro Santagata. 2019. Qualifying Antibodies for Image-based Immune Profiling and Multiplexed Tissue Imaging. Nature Protocols 14, no. 10: 2900-930.en_US
dc.identifier.issn1754-2189en_US
dc.identifier.issn1750-2799en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:42068905*
dc.description.abstractMultiplexed tissue imaging enables precise, spatially resolved enumeration and characterization of cell types and states in human resection specimens. A growing number of methods applicable to formalin-fixed, paraffin-embedded (FFPE) tissue sections have been described, the majority of which rely on antibodies for antigen detection and mapping. This protocol provides step-by-step procedures for confirming the selectivity and specificity of antibodies used in fluorescence-based tissue imaging and for the construction and validation of antibody panels. Although the protocol is implemented using tissue-based cyclic immunofluorescence (t-CyCIF) as an imaging platform, these antibody-testing methods are broadly applicable. We demonstrate assembly of a 16-antibody panel for enumerating and localizing T cells and B cells, macrophages, and cells expressing immune checkpoint regulators. The protocol is accessible to individuals with experience in microscopy and immunofluorescence; some experience in computation is required for data analysis. A typical 30-antibody dataset for 20 FFPE slides can be generated within 2 weeks.en_US
dc.language.isoen_USen_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.relationNature Protocolsen_US
dash.licenseLAA
dc.subjectGeneral Biochemistry, Genetics and Molecular Biologyen_US
dc.titleQualifying Antibodies for Image-Based Immune Profiling and Multiplexed Tissue Imagingen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalNature Protocolsen_US
dash.depositing.authorAster, Jon
dash.waiver2019-05-23
dc.date.available2019-12-18T16:57:29Z
dash.affiliation.otherFaculty of Arts & Sciencesen_US
dash.funder.nameNCI Cancer Center Supporten_US
dash.funder.nameNational Institutes of Healthen_US
dash.funder.nameClaudia Adams Barr Program for Innovative Cancer Researchen_US
dash.funder.nameMolecular Biophysics Trainingen_US
dash.funder.awardP30-CA06516en_US
dash.funder.awardU54-CA225088en_US
dash.funder.awardU54-CA225088en_US
dash.funder.awardU2C-CA233280en_US
dash.funder.awardR41-CA224503en_US
dash.funder.awardT32-GM008313en_US
dash.funder.awardK08-CA222663en_US
dc.identifier.doi10.1038/s41596-019-0206-y
dc.source.journalNat Protoc
dash.waiver.reasonPublishing with Nature Protocols and purchasing a creative commons license is not an available option. We will release the manuscript in pubmed central 6 months following publication.en_US
dash.source.volume14;10
dash.source.page2900-2930
dash.contributor.affiliatedRashid, Rumana
dash.contributor.affiliatedMaliga, Zoltan
dash.contributor.affiliatedSantagata, Sandro
dash.contributor.affiliatedAster, Jon
dash.contributor.affiliatedLin, Jia-Ren
dash.contributor.affiliatedIzar, Benjamin


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