转录组
可视化
计算生物学
生物
逆转录酶
RNA序列
核糖核酸
基因
基因表达
基因表达谱
遗传学
计算机科学
数据挖掘
作者
Patrik L. Ståhl,Fredrik Salmén,Sanja Vicković,Anna Lundmark,José Fernández Navarro,Jens P. Magnusson,Stefania Giacomello,Michaela Asp,Jakub Orzechowski Westholm,Mikael Huss,Annelie Mollbrink,Sten Linnarsson,Simone Codeluppi,Åke Borg,Fredrik Pontén,Paul Igor Costea,Pelin Sahlén,Jan Mulder,Olaf Bergmann,Joakim Lundeberg
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2016-06-30
卷期号:353 (6294): 78-82
被引量:2681
标识
DOI:10.1126/science.aaf2403
摘要
Spatial structure of RNA expression RNA-seq and similar methods can record gene expression within and among cells. Current methods typically lose positional information and many require arduous single-cell isolation and sequencing. Ståhl et al. have developed a way of measuring the spatial distribution of transcripts by annealing fixed brain or cancer tissue samples directly to bar-coded reverse transcriptase primers, performing reverse transcription followed by sequencing and computational reconstruction, and they can do so for multiple genes. Science , this issue p. 78
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