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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
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Spatial multi-omics sequencing for fixed tissue via DBiT-seq
Graham Su1,2, Xiaoyu Qin1,2, Archibald Enninful1,2
1Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
STAR Protocols
|May 24, 2021
Summary
This protocol details deterministic barcoding in tissue for spatial omics sequencing. It enables multi-omics atlases from fixed frozen tissues with near-single-cell resolution for transcriptomics and protein analysis.
Area of Science:
- Spatial omics
- Molecular biology
- Genomics
Background:
- Spatial omics technologies are crucial for understanding tissue architecture and cellular function.
- Existing methods may have limitations in resolution or multiplexing capabilities for complex tissues.
Purpose of the Study:
- To describe a protocol for deterministic barcoding in tissue (DBiT) for spatial omics.
- To enable the construction of multi-omics atlases from fixed frozen tissue samples.
- To achieve near-single-cell resolution for spatial transcriptomics and targeted protein analysis.
Main Methods:
- Utilizes a microfluidic-based approach to deliver combinatorial DNA oligo barcodes to cells within a tissue section.
- Applies the technique to fixed frozen tissue samples mounted on a glass slide.
- The method achieves near-single-cell resolution without direct single-cell dissociation.
Main Results:
- The DBiT platform allows for spatial transcriptomics analysis.
- Enables spatial analysis of targeted protein panels within the tissue context.
- Facilitates the creation of comprehensive multi-omics atlases.
Conclusions:
- The described protocol provides a robust method for spatial multi-omics analysis on fixed frozen tissues.
- The DBiT approach offers near-single-cell resolution, advancing spatial biology research.
- This technique is valuable for constructing detailed tissue atlases and understanding spatial molecular organization.

