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Updated: Sep 28, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Spatial-CITE-seq: spatially resolved high-plex protein and whole transcriptome co-mapping.

Yang Liu^1,2, Marcello DiStasio³, Graham Su^1,2

¹Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.

Research Square

|April 5, 2022

Summary

This summary is machine-generated.

Spatial-CITE-seq enables high-plex co-mapping of proteins and transcriptome in tissues. This method revealed distinct immune responses in mouse and human tissues, including at COVID-19 vaccine sites.

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Last Updated: Sep 28, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Published on: July 6, 2022

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Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

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Published on: October 14, 2022

Area of Science:

Single-cell biology
Immunology
Genomics

Background:

Understanding spatial heterogeneity in tissues is crucial for disease research.
Current methods often lack the ability to simultaneously profile proteins and the transcriptome at a spatial level.

Approach:

Developed spatial-CITE-seq, a high-plex method for simultaneous protein and whole transcriptome co-mapping.
Applied the technique to profile 198 proteins and transcriptome in mouse tissues.
Utilized the method on human tissues to analyze 283 proteins and transcriptome.

Key Points:

Demonstrated spatial-CITE-seq's capability in profiling both protein and RNA expression within intact tissue architecture.
Identified spatially distinct germinal center reactions in human tonsil tissue.
Revealed early immune activation signatures in human skin at the site of COVID-19 mRNA vaccination.

Conclusions:

Spatial-CITE-seq provides a powerful tool for high-resolution spatial multi-omics analysis.
The technology offers significant potential for advancing biomedical research, particularly in immunology and disease pathology.
This co-mapping approach enhances our understanding of tissue microenvironments and cellular responses.