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,Jonas Frisén
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2016-07-01
卷期号:353 (6294): 78-82
被引量:2012
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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