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Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
KTH, School of Biotechnology (BIO), Gene Technology.
KTH, School of Biotechnology (BIO), Gene Technology.
KTH, School of Biotechnology (BIO), Gene Technology.
KTH, School of Biotechnology (BIO), Gene Technology.
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2016 (English)In: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 353, no 6294, 78-82 p.Article in journal (Refereed) PublishedText
Abstract [en]

Analysis of the pattern of proteins or messenger RNAs (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.

Place, publisher, year, edition, pages
AMER ASSOC ADVANCEMENT SCIENCE , 2016. Vol. 353, no 6294, 78-82 p.
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Genetics
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URN: urn:nbn:se:kth:diva-189924DOI: 10.1126/science.aaf2403ISI: 000378816200040PubMedID: 27365449OAI: oai:DiVA.org:kth-189924DiVA: diva2:950353
Note

QC 20160729

Available from: 2016-07-29 Created: 2016-07-25 Last updated: 2016-07-29Bibliographically approved

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Salmen, FredrikVickovic, SanjaNavarro, Jose FernandezGiacomello, StefaniaAsp, MichaelaMollbrink, AnnelieCostea, Paul IgorSahlen, PelinLundeberg, Joakim
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Gene TechnologyScience for Life Laboratory, SciLifeLab
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