A logical network-based drug-screening platform for Alzheimer's disease representing pathological features of human brain organoids

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dc.contributor.authorJong-Chan Parkko
dc.contributor.authorJang, Soyeongko
dc.contributor.authorLee, Dongjoonko
dc.contributor.authorLee, Jeonghako
dc.contributor.authorKang, Uiryongko
dc.contributor.authorChang, Hongjunko
dc.contributor.authorKim, Haeng Junko
dc.contributor.authorHan, Sun-Hoko
dc.contributor.authorSeo, Jinsooko
dc.contributor.authorChoi, Murimko
dc.contributor.authorLee, Dong Youngko
dc.contributor.authorByun, Min Sooko
dc.contributor.authorYi, Dahyunko
dc.contributor.authorCho, Kwang-Hyunko
dc.contributor.authorMook-Jung, Inheeko
dc.date.accessioned2021-03-08T01:10:08Z-
dc.date.available2021-03-08T01:10:08Z-
dc.date.created2020-12-08-
dc.date.created2020-12-08-
dc.date.created2020-12-08-
dc.date.created2020-12-08-
dc.date.issued2021-12-
dc.identifier.citationNATURE COMMUNICATIONS, v.12, no.1, pp.280-
dc.identifier.issn2041-1723-
dc.identifier.urihttp://hdl.handle.net/10203/281310-
dc.description.abstractDeveloping 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.-
dc.languageEnglish-
dc.publisherNATURE RESEARCH-
dc.titleA logical network-based drug-screening platform for Alzheimer's disease representing pathological features of human brain organoids-
dc.typeArticle-
dc.identifier.wosid000662809200007-
dc.identifier.scopusid2-s2.0-85099185691-
dc.type.rimsART-
dc.citation.volume12-
dc.citation.issue1-
dc.citation.beginningpage280-
dc.citation.publicationnameNATURE COMMUNICATIONS-
dc.identifier.doi10.1038/s41467-020-20440-5-
dc.contributor.localauthorCho, Kwang-Hyun-
dc.contributor.nonIdAuthorJong-Chan Park-
dc.contributor.nonIdAuthorLee, Dongjoon-
dc.contributor.nonIdAuthorLee, Jeongha-
dc.contributor.nonIdAuthorKim, Haeng Jun-
dc.contributor.nonIdAuthorHan, Sun-Ho-
dc.contributor.nonIdAuthorSeo, Jinsoo-
dc.contributor.nonIdAuthorChoi, Murim-
dc.contributor.nonIdAuthorLee, Dong Young-
dc.contributor.nonIdAuthorByun, Min Soo-
dc.contributor.nonIdAuthorYi, Dahyun-
dc.contributor.nonIdAuthorMook-Jung, Inhee-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordPlusA-BETASYSTEMS BIOLOGYR PACKAGEDYNAMICSMECHANISMSMODELTAUINHIBITIONPATHWAYTRIALS-
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