Cited 277 times in
Multiplexed and scalable super-resolution imaging of three-dimensional protein localization in size-adjustable tissues
DC Field | Value | Language |
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dc.contributor.author | 박정윤 | - |
dc.date.accessioned | 2017-10-26T07:22:14Z | - |
dc.date.available | 2017-10-26T07:22:14Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1087-0156 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/151940 | - |
dc.description.abstract | The 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.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Nature America Publishing | - |
dc.relation.isPartOf | NATURE BIOTECHNOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Animals | - |
dc.subject.MESH | Brain/metabolism* | - |
dc.subject.MESH | Brain/ultrastructure | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Gene Expression Profiling/methods | - |
dc.subject.MESH | Image Enhancement/methods | - |
dc.subject.MESH | Image Interpretation, Computer-Assisted/methods | - |
dc.subject.MESH | Imaging, Three-Dimensional/methods* | - |
dc.subject.MESH | Immunoassay/methods | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Mice | - |
dc.subject.MESH | Molecular Imaging/methods* | - |
dc.subject.MESH | Nerve Tissue Proteins/metabolism | - |
dc.subject.MESH | Proteome/metabolism* | - |
dc.subject.MESH | Proteome/ultrastructure | - |
dc.subject.MESH | Synapses/metabolism* | - |
dc.subject.MESH | Synapses/ultrastructure* | - |
dc.subject.MESH | Tissue Distribution | - |
dc.title | Multiplexed and scalable super-resolution imaging of three-dimensional protein localization in size-adjustable tissues | - |
dc.type | Article | - |
dc.publisher.location | United States | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Neurosurgery | - |
dc.contributor.googleauthor | Taeyun Ku | - |
dc.contributor.googleauthor | Justin Swaney | - |
dc.contributor.googleauthor | Jeong-Yoon Park | - |
dc.contributor.googleauthor | Alexandre Albanese | - |
dc.contributor.googleauthor | Evan Murray | - |
dc.contributor.googleauthor | Jae Hun Cho | - |
dc.contributor.googleauthor | Young-Gyun Park | - |
dc.contributor.googleauthor | Vamsi Mangena | - |
dc.contributor.googleauthor | Jiapei Chen | - |
dc.contributor.googleauthor | Kwanghun Chung | - |
dc.identifier.doi | 10.1038/nbt.3641 | - |
dc.contributor.localId | A01650 | - |
dc.relation.journalcode | J02290 | - |
dc.identifier.eissn | 1546-1696 | - |
dc.identifier.pmid | 27454740 | - |
dc.contributor.alternativeName | Park, Jeong Yoon | - |
dc.contributor.affiliatedAuthor | Park, Jeong Yoon | - |
dc.citation.volume | 34 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 973 | - |
dc.citation.endPage | 981 | - |
dc.identifier.bibliographicCitation | NATURE BIOTECHNOLOGY, Vol.34(9) : 973-981, 2016 | - |
dc.date.modified | 2017-10-24 | - |
dc.identifier.rimsid | 46262 | - |
dc.type.rims | ART | - |
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