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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Patrik L Ståhl - , Karolinska Institutet (Author)
  • Fredrik Salmén - , KTH Royal Institute of Technology (Author)
  • Sanja Vickovic - , KTH Royal Institute of Technology (Author)
  • Anna Lundmark - , Karolinska Institutet (Author)
  • José Fernández Navarro - , Karolinska Institutet (Author)
  • Jens Magnusson - , Karolinska Institutet (Author)
  • Stefania Giacomello - , KTH Royal Institute of Technology (Author)
  • Michaela Asp - , KTH Royal Institute of Technology (Author)
  • Jakub O Westholm - , Stockholm University (Author)
  • Mikael Huss - , Stockholm University (Author)
  • Annelie Mollbrink - , KTH Royal Institute of Technology (Author)
  • Sten Linnarsson - , Karolinska Institutet (Author)
  • Simone Codeluppi - , Karolinska Institutet (Author)
  • Åke Borg - , Lund University (Author)
  • Fredrik Pontén - , Uppsala University (Author)
  • Paul Igor Costea - , KTH Royal Institute of Technology (Author)
  • Pelin Sahlén - , KTH Royal Institute of Technology (Author)
  • Jan Mulder - , Karolinska Institutet (Author)
  • Olaf Bergmann - , Karolinska Institutet (Author)
  • Joakim Lundeberg - , KTH Royal Institute of Technology (Author)
  • Jonas Frisén - , Karolinska Institutet (Author)

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.

Details

Original languageEnglish
Pages (from-to)78-82
Number of pages5
JournalScience
Volume353
Issue number6294
Publication statusPublished - 1 Jul 2016
Peer-reviewedYes
Externally publishedYes

External IDs

Scopus 84976875145
ORCID /0000-0003-1065-4107/work/141543985

Keywords

Sustainable Development Goals

Keywords

  • Animals, Brain/metabolism, Breast Neoplasms/metabolism, DNA, Complementary/biosynthesis, Female, Gene Expression Profiling/methods, Humans, Mice, Organ Specificity, RNA, Messenger/metabolism, Sequence Analysis, RNA/methods, Transcriptome