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Updated: Sep 6, 2025
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
5.0K
Enabling automated and reproducible spatially resolved transcriptomics at scale
Linnea Stenbeck1, Fanny Taborsak-Lines1, Stefania Giacomello1
1Science for Life Laboratory, Division of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Heliyon
|June 27, 2022
Summary
Automating spatial transcriptomics library preparation using the Agilent Bravo platform significantly reduces hands-on time and variability. This advancement enhances throughput and robustness for spatially resolved transcriptomics analysis of tissues.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Spatial information is crucial for understanding gene expression.
- Spatial transcriptomics enables spatially barcoded whole transcriptome analysis.
- Manual library preparation is labor-intensive and prone to errors.
Purpose of the Study:
- To automate the 10x Genomics Visium library construction process.
- To improve the efficiency, throughput, and robustness of spatial transcriptomics.
- To provide a standardized method for large-scale spatial analysis.
Main Methods:
- Adaptation of the 10x Genomics Visium protocol on the Agilent Bravo Liquid Handling Platform.
- Development of an automated workflow for tissue sequencing library preparation.
- Comparison of automated versus manual library preparation methods.
Main Results:
- Over 80% reduction in hands-on time compared to manual methods.
- Increased throughput and improved robustness of library preparation.
- Successful generation of high-quality spatial transcriptomics libraries.
Conclusions:
- Automated Visium library preparation offers a scalable and standardized approach.
- This method enhances the reliability and efficiency of spatially resolved transcriptomics.
- Facilitates broader adoption of spatial transcriptomics in tissue analysis.
