多细胞生物
细胞
核糖核酸
单细胞分析
生物
基因
RNA序列
计算生物学
基因表达
转录组
遗传学
作者
Qi Tang,Lu Liu,Yilan Guo,Xu Zhang,Shaoran Zhang,Yan Jia,Yifei Du,Bo Cheng,Yang Li,Yanyi Huang,Xing Chen
标识
DOI:10.1002/anie.202113929
摘要
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for profiling gene expression of distinct cell populations at the single-cell level. However, the information of the positions of cells within the multicellular samples is missing in scRNA-seq datasets. To overcome this limitation, we herein develop OpTAG (optical cell tagging) as a new chemical platform for attaching functional tags onto cell surfaces in a spatially resolved manner. With OpTAG, we establish OpTAG-seq, which enables spatially resolved scRNA-seq. We apply OpTAG-seq to investigate the spatially defined transcriptional program in migrating cancer cells and identified a list of genes that are potential regulators for cancer cell migration and invasion. OpTAG-seq provides a convenient method for mapping cellular heterogeneity with spatial information within multicellular biological systems.
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