| Literature DB >> 27365449 |
Patrik L Ståhl1, Fredrik Salmén2, Sanja Vickovic2, Anna Lundmark3, José Fernández Navarro1, Jens Magnusson4, Stefania Giacomello2, Michaela Asp2, Jakub O Westholm5, Mikael Huss5, Annelie Mollbrink2, Sten Linnarsson6, Simone Codeluppi7, Åke Borg8, Fredrik Pontén9, Paul Igor Costea2, Pelin Sahlén2, Jan Mulder10, Olaf Bergmann4, Joakim Lundeberg11, Jonas Frisén4.
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.Entities:
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Year: 2016 PMID: 27365449 DOI: 10.1126/science.aaf2403
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728