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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 10 time in Web of Science Cited 14 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
https://hdl.handle.net/10371/145166
DOI
https://doi.org/10.1186/s13059-018-1543-9
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