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Multiplexed and scalable super-resolution imaging of three-dimensional protein localization in size-adjustable tissues

DC Field Value Language
dc.contributor.author박정윤-
dc.date.accessioned2017-10-26T07:22:14Z-
dc.date.available2017-10-26T07:22:14Z-
dc.date.issued2016-
dc.identifier.issn1087-0156-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/151940-
dc.description.abstractThe biology of multicellular organisms is coordinated across multiple size scales, from the subnanoscale of molecules to the macroscale, tissue-wide interconnectivity of cell populations. Here we introduce a method for super-resolution imaging of the multiscale organization of intact tissues. The method, called magnified analysis of the proteome (MAP), linearly expands entire organs fourfold while preserving their overall architecture and three-dimensional proteome organization. MAP is based on the observation that preventing crosslinking within and between endogenous proteins during hydrogel-tissue hybridization allows for natural expansion upon protein denaturation and dissociation. The expanded tissue preserves its protein content, its fine subcellular details, and its organ-scale intercellular connectivity. We use off-the-shelf antibodies for multiple rounds of immunolabeling and imaging of a tissue's magnified proteome, and our experiments demonstrate a success rate of 82% (100/122 antibodies tested). We show that specimen size can be reversibly modulated to image both inter-regional connections and fine synaptic architectures in the mouse brain.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherNature America Publishing-
dc.relation.isPartOfNATURE BIOTECHNOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAnimals-
dc.subject.MESHBrain/metabolism*-
dc.subject.MESHBrain/ultrastructure-
dc.subject.MESHFemale-
dc.subject.MESHGene Expression Profiling/methods-
dc.subject.MESHImage Enhancement/methods-
dc.subject.MESHImage Interpretation, Computer-Assisted/methods-
dc.subject.MESHImaging, Three-Dimensional/methods*-
dc.subject.MESHImmunoassay/methods-
dc.subject.MESHMale-
dc.subject.MESHMice-
dc.subject.MESHMolecular Imaging/methods*-
dc.subject.MESHNerve Tissue Proteins/metabolism-
dc.subject.MESHProteome/metabolism*-
dc.subject.MESHProteome/ultrastructure-
dc.subject.MESHSynapses/metabolism*-
dc.subject.MESHSynapses/ultrastructure*-
dc.subject.MESHTissue Distribution-
dc.titleMultiplexed and scalable super-resolution imaging of three-dimensional protein localization in size-adjustable tissues-
dc.typeArticle-
dc.publisher.locationUnited States-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Neurosurgery-
dc.contributor.googleauthorTaeyun Ku-
dc.contributor.googleauthorJustin Swaney-
dc.contributor.googleauthorJeong-Yoon Park-
dc.contributor.googleauthorAlexandre Albanese-
dc.contributor.googleauthorEvan Murray-
dc.contributor.googleauthorJae Hun Cho-
dc.contributor.googleauthorYoung-Gyun Park-
dc.contributor.googleauthorVamsi Mangena-
dc.contributor.googleauthorJiapei Chen-
dc.contributor.googleauthorKwanghun Chung-
dc.identifier.doi10.1038/nbt.3641-
dc.contributor.localIdA01650-
dc.relation.journalcodeJ02290-
dc.identifier.eissn1546-1696-
dc.identifier.pmid27454740-
dc.contributor.alternativeNamePark, Jeong Yoon-
dc.contributor.affiliatedAuthorPark, Jeong Yoon-
dc.citation.volume34-
dc.citation.number9-
dc.citation.startPage973-
dc.citation.endPage981-
dc.identifier.bibliographicCitationNATURE BIOTECHNOLOGY, Vol.34(9) : 973-981, 2016-
dc.date.modified2017-10-24-
dc.identifier.rimsid46262-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers

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