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:3850
标识
DOI:10.1126/science.aaf2403
摘要
Analysis of the pattern of proteins or messengerRNAs (mRNAs) in histological tissue sections is a cornerstone in biomedical research and diagnostics. This typically involves the visualization of a few proteins or expressed genes at a time. We have devised a strategy, which we call "spatial transcriptomics," that allows visualization and quantitative analysis of the transcriptome with spatial resolution in individual tissue sections. By positioning histological sections on arrayed reverse transcription primers with unique positional barcodes, we demonstrate high-quality RNA-sequencing data with maintained two-dimensional positional information from the mouse brain and human breast cancer. Spatial transcriptomics provides quantitative gene expression data and visualization of the distribution of mRNAs within tissue sections and enables novel types of bioinformatics analyses, valuable in research and diagnostics.
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