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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

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

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

OriginalspracheEnglisch
Seiten (von - bis)78-82
Seitenumfang5
FachzeitschriftScience
Jahrgang353
Ausgabenummer6294
PublikationsstatusVeröffentlicht - 1 Juli 2016
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

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

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • 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