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

American Association for the Advancement of Science (AAAS) - Tập 353 Số 6294 - Trang 78-82 - 2016
Patrik L. Ståhl1,2, Fredrik Salmén2, Sanja Vicković2, Anna Lundmark3,2, José Fernández Navarro1,2, Jens P. Magnusson1, Stefania Giacomello2, Michaela Asp2, Jakub Orzechowski Westholm4, Mikael Huss4, Annelie Mollbrink2, Sten Linnarsson5, Simone Codeluppi6,5, Åke Borg7, Fredrik Pontén8, Paul Igor Costea2, Pelin Sahlén2, Jan Mulder9, Olaf Bergmann1, Joakim Lundeberg2, Jonas Frisén1
1Department of Cell and Molecular Biology, Karolinska Institute, SE-171 77 Stockholm, Sweden
2Science for Life Laboratory, Division of Gene Technology, KTH Royal Institute of Technology, SE-106 91 Stockholm, Sweden.
3Department of Dental Medicine, Division of Periodontology, Karolinska Institute, SE-141 04 Huddinge, Sweden.
4Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Box 1031, SE-171 21 Solna, Sweden
5Division of Molecular Neuroscience, Department of Medical Biochemistry and Biophysics, Karolinska Institute, SE-17177 Stockholm, Sweden.
6Department of Physiology and Pharmacology, Karolinska Institute, SE-17177 Stockholm, Sweden
7Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, SE-223 81 Lund, Sweden.
8Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85, Uppsala Sweden
9Science for Life Laboratory, Department of Neuroscience, Karolinska Institute, SE-171 77 Stockholm, Sweden

Tóm tắt

Spatial structure of RNA expression RNA-seq and similar methods can record gene expression within and among cells. Current methods typically lose positional information and many require arduous single-cell isolation and sequencing. Ståhl et al. have developed a way of measuring the spatial distribution of transcripts by annealing fixed brain or cancer tissue samples directly to bar-coded reverse transcriptase primers, performing reverse transcription followed by sequencing and computational reconstruction, and they can do so for multiple genes. Science , this issue p. 78

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