Change search
ReferencesLink to record
Permanent link

Direct link
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.
Show others and affiliations
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.
National Category
URN: urn:nbn:se:kth:diva-189924DOI: 10.1126/science.aaf2403ISI: 000378816200040PubMedID: 27365449OAI: diva2:950353

QC 20160729

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

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Salmen, FredrikVickovic, SanjaNavarro, Jose FernandezGiacomello, StefaniaAsp, MichaelaMollbrink, AnnelieCostea, Paul IgorSahlen, PelinLundeberg, Joakim
By organisation
Gene TechnologyScience for Life Laboratory, SciLifeLab
In the same journal

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 2 hits
ReferencesLink to record
Permanent link

Direct link