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Updated: Apr 24, 2026

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

Next-Generation Disease Profiling by Integrating Histopathology with Spatial Multi-Omics Data.

Priyank Patel¹, Alexander Klimowicz¹

¹Department of Immunology and Respiratory Diseases Research, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut.

The American Journal of Pathology

|April 22, 2026

Summary

This summary is machine-generated.

Digital pathology and spatial multi-omics offer new tools for disease profiling. This review explores these advancements and redefines the pathologist

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Area of Science:

Pathology
Computational Biology
Bioinformatics

Background:

Digital pathology and spatial multi-omics are revolutionizing pathology.
These technologies enhance workflows and provide high-fidelity multi-omics data.
Multi-modal data layers (genomic, metabolomic, proteomic, transcriptomic) offer distinct disease insights.

Purpose of the Study:

To review the evolving fields of molecular histopathology and spatial omics.
To explore their application in disease profiling.
To redefine the role of pathologists in the era of multi-omics.

Main Methods:

Review of current literature on digital pathology and spatial multi-omics.
Analysis of computational methods for high-dimensional data interpretation.
Discussion on the integration of multi-modal data in pathology.

Main Results:

Multi-omics data, analyzed with ML/AI, provides a holistic understanding of disease mechanisms.
High-dimensional data presents challenges in deconvolution, interpretation, and clinical translation.
Computational methods dominate data processing, raising questions about the pathologist's role.

Conclusions:

Spatial omics and molecular histopathology offer novel approaches to disease profiling.
The integration of multi-omics data necessitates a re-evaluation of the pathologist's role.
Pathologists are crucial for interpreting complex data and ensuring clinical translation.