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PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing

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dc.contributor.authorKim, Sungsik-
dc.contributor.authorLee, Amos Chungwon-
dc.contributor.authorLee, Han-Byoel-
dc.contributor.authorKim, Jinhyun-
dc.contributor.authorJung, Yushin-
dc.contributor.authorRyu, Han Suk-
dc.contributor.authorLee, Yongju-
dc.contributor.authorBae, Sangwook-
dc.contributor.authorLee, Minju-
dc.contributor.authorLee, Kyungmin-
dc.contributor.authorKim, Ryong Nam-
dc.contributor.authorPark, Woong-Yang-
dc.contributor.authorHan, Wonshik-
dc.contributor.authorKwon, Sunghoon-
dc.date.accessioned2019-01-17T05:57:29Z-
dc.date.available2019-01-17T15:04:44Z-
dc.date.issued2018-10-08-
dc.identifier.citationGenome Biology, 19(1):158ko_KR
dc.identifier.issn1474-760X-
dc.identifier.urihttps://hdl.handle.net/10371/145166-
dc.description.abstractSpatial mapping of genomic data to tissue context in a high-throughput and high-resolution manner has been challenging due to technical limitations. Here, we describe PHLI-seq, a novel approach that enables high-throughput isolation and genome-wide sequence analysis of single cells or small numbers of cells to construct genomic maps within cancer tissue in relation to the images or phenotypes of the cells. By applying PHLI-seq, we reveal the heterogeneity of breast cancer tissues at a high resolution and map the genomic landscape of the cells to their corresponding spatial locations and phenotypes in the 3D tumor mass.ko_KR
dc.description.sponsorshipThis research was supported by Global Research Development Center Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT) (2015K1A4A3047345). The study was also supported by the National Research Foundation of Korea
(2012M3A9B2029131 to W.H.) and by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number HI15C3224 to W.H.). This work was also supported by the Interdisciplinary Research Initiatives Program from College of Engineering and College of Medicine, Seoul National University (800-20160084). The Institute of Engineering Research at Seoul National University provided research facilities for this work.
ko_KR
dc.language.isoenko_KR
dc.publisherBioMed Centralko_KR
dc.subjectTumor heterogeneityko_KR
dc.subjectCell isolationko_KR
dc.subjectSpatially resolved sequencingko_KR
dc.subjectSingle-cell sequencingko_KR
dc.subjectBreast cancerko_KR
dc.subjectPrecision oncologyko_KR
dc.titlePHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencingko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor김성식-
dc.contributor.AlternativeAuthor이충원-
dc.contributor.AlternativeAuthor이한별-
dc.contributor.AlternativeAuthor김진현-
dc.contributor.AlternativeAuthor정유신-
dc.contributor.AlternativeAuthor류한석-
dc.contributor.AlternativeAuthor이용주-
dc.contributor.AlternativeAuthor배상욱-
dc.contributor.AlternativeAuthor이민주-
dc.contributor.AlternativeAuthor이경민-
dc.contributor.AlternativeAuthor김용남-
dc.contributor.AlternativeAuthor박웅양-
dc.contributor.AlternativeAuthor한원식-
dc.contributor.AlternativeAuthor권성훈-
dc.identifier.doi10.1186/s13059-018-1543-9-
dc.language.rfc3066en-
dc.rights.holderThe Author(s).-
dc.date.updated2018-10-14T03:23:31Z-
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