生物
计算生物学
背景(考古学)
基因组
表型
吞吐量
基因组学
遗传学
基因
计算机科学
电信
古生物学
无线
作者
Sungsik Kim,Amos Chungwon Lee,Han‐Byoel Lee,Jinhyun Kim,Yushin Jung,Han Suk Ryu,Yong‐Ju Lee,Sang-Wook Bae,Minju Lee,Kyungmin Lee,Ryong Nam Kim,Woong‐Yang Park,Wonshik Han,Sunghoon Kwon
出处
期刊:Genome Biology
[BioMed Central]
日期:2018-10-08
卷期号:19 (1): 158-158
被引量:34
标识
DOI:10.1186/s13059-018-1543-9
摘要
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.
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