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

Cited 5 time in Web of Science Cited 3 time in Scopus
Authors
Kim, Sungsik; Lee, Amos Chungwon; Lee, Han-Byoel; Kim, Jinhyun; Jung, Yushin; Ryu, Han Suk; Lee, Yongju; Bae, Sangwook; Lee, Minju; Lee, Kyungmin; Kim, Ryong Nam; Park, Woong-Yang; Han, Wonshik; Kwon, Sunghoon
Issue Date
2018-10-08
Publisher
BioMed Central
Citation
Genome Biology, 19(1):158
Keywords
Tumor heterogeneityCell isolationSpatially resolved sequencingSingle-cell sequencingBreast cancerPrecision oncology
Abstract
Spatial 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.
ISSN
1474-760X
Language
English
URI
http://hdl.handle.net/10371/145166
DOI
https://doi.org/10.1186/s13059-018-1543-9
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College of Medicine/School of Medicine (의과대학/대학원)Pathology (병리학전공)Journal Papers (저널논문_병리학전공)
College of Engineering/Engineering Practice School (공과대학/대학원)Program in Bioengineering (협동과정-바이오엔지니어링전공)Journal Papers (저널논문_협동과정-바이오엔지니어링전공)
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Journal Papers (저널논문_전기·정보공학부)
College of Medicine/School of Medicine (의과대학/대학원)Surgery (외과학전공)Journal Papers (저널논문_외과학전공)
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