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dc.contributor.author Park, Jong-Chan -
dc.contributor.author Jang, So-Yeong -
dc.contributor.author Lee, Dongjoon -
dc.contributor.author Lee, Jeongha -
dc.contributor.author Kang, Uiryong -
dc.contributor.author Chang, Hongjun -
dc.contributor.author Kim, Haeng Jun -
dc.contributor.author Han, Sun-Ho -
dc.contributor.author Seo, Jinsoo -
dc.contributor.author Choi, Murim -
dc.contributor.author Lee, Dong Young -
dc.contributor.author Byun, Min Soo -
dc.contributor.author Yi, Dahyun -
dc.contributor.author Cho, Kwang-Hyun -
dc.contributor.author Mook-Jung, Inhee -
dc.date.accessioned 2021-04-29T12:30:29Z -
dc.date.available 2021-04-29T12:30:29Z -
dc.date.created 2021-01-22 -
dc.date.issued 2021-01 -
dc.identifier.issn 2041-1723 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/13478 -
dc.description.abstract Developing effective drugs for Alzheimer’s disease (AD), the most common cause of dementia, has been difficult because of complicated pathogenesis. Here, we report an efficient, network-based drug-screening platform developed by integrating mathematical modeling and the pathological features of AD with human iPSC-derived cerebral organoids (iCOs), including CRISPR-Cas9-edited isogenic lines. We use 1300 organoids from 11 participants to build a high-content screening (HCS) system and test blood–brain barrier-permeable FDA-approved drugs. Our study provides a strategy for precision medicine through the convergence of mathematical modeling and a miniature pathological brain model using iCOs. © 2021, The Author(s). -
dc.language English -
dc.publisher Nature Publishing Group -
dc.title A logical network-based drug-screening platform for Alzheimer’s disease representing pathological features of human brain organoids -
dc.type Article -
dc.identifier.doi 10.1038/s41467-020-20440-5 -
dc.identifier.scopusid 2-s2.0-85099185691 -
dc.identifier.bibliographicCitation Nature Communications, v.12, no.1, pp.280 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordPlus brain -
dc.subject.keywordPlus cell component -
dc.subject.keywordPlus drug development -
dc.subject.keywordPlus genetic engineering -
dc.subject.keywordPlus medicine -
dc.subject.keywordPlus mental health -
dc.subject.keywordPlus nervous system disorder -
dc.subject.keywordPlus pathology -
dc.citation.number 1 -
dc.citation.startPage 280 -
dc.citation.title Nature Communications -
dc.citation.volume 12 -
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Department of Brain Sciences Laboratory of Aging Brain 1. Journal Articles

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