Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

Patrik L. Ståhl(Science for Life Laboratory), Fredrik Salmén(Science for Life Laboratory), Sanja Vicković(Science for Life Laboratory), Anna Lundmark(Science for Life Laboratory), José Fernández Navarro(Science for Life Laboratory), Jens P. Magnusson(Karolinska Institutet), Stefania Giacomello(Science for Life Laboratory), Michaela Asp(Science for Life Laboratory), Jakub Orzechowski Westholm(Stockholm University), Mikael Huss(Stockholm University), Annelie Mollbrink(Science for Life Laboratory), Sten Linnarsson(Karolinska Institutet), Simone Codeluppi(Karolinska Institutet), Åke Borg(Lund University), Fredrik Pontén(Uppsala University), Paul Igor Costea(Science for Life Laboratory), Pelin Sahlén(Science for Life Laboratory), Jan Mulder(Science for Life Laboratory), Olaf Bergmann(Karolinska Institutet), Joakim Lundeberg(Science for Life Laboratory), Jonas Frisén(Karolinska Institutet)
Science
June 30, 2016
Cited by 3,798

Abstract

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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