In Situ Sequencing: A High-Throughput, Multi-Targeted Gene Expression Profiling Technique for Cell Typing in Tissue
Markus M Hilscher1, Daniel Gyllborg2, Chika Yokota2,3
1Molecular Diagnostics, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden. markus.hilscher@scilifelab.se.
We developed in situ sequencing, a high-throughput method for mapping hundreds of genes within cells in tissue sections. This technique enables precise gene expression profiling and cell type classification using transcriptome data.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Image-based in situ mRNA quantification methods visualize gene expression spatially within tissues.
- Existing techniques enable parallel mapping of numerous genes and assignment to specific cells by capturing cellular boundaries.
Purpose of the Study:
- To present a high-throughput, multi-targeted gene expression profiling technique named in situ sequencing.
- To demonstrate the capability of in situ sequencing for localizing hundreds of genes simultaneously.
- To support cell type classification based on transcriptome-based taxonomy.
Main Methods:
- In situ sequencing utilizes padlock probes (PLPs) and rolling circle amplification (RCA) for targeted, amplified, and barcoded gene detection.
- The protocol involves mRNA fixation, reverse transcription, degradation of residual mRNA, and PLP hybridization.
- Amplified PLPs are labeled with fluorophore-conjugated probes for detection using conventional fluorescence microscopes.
Main Results:
- Successfully localized hundreds of genes simultaneously within tissue sections.
- Enabled cell type classification aligned with transcriptome-based taxonomy.
- Demonstrated the utility of in situ sequencing for high-resolution spatial gene expression analysis.
Conclusions:
- In situ sequencing is a powerful method for high-throughput, multi-targeted gene expression profiling.
- The technique provides spatial resolution for gene localization and facilitates cell type identification.
- This approach advances the understanding of gene expression patterns in complex biological systems.
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