Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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 language | English |
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Pages (from-to) | 78-82 |
Number of pages | 5 |
Journal | Science |
Volume | 353 |
Issue number | 6294 |
Publication status | Published - 1 Jul 2016 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
Scopus | 84976875145 |
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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