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Updated: Jun 29, 2025
09:19
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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Emerging Roles of Spatial Transcriptomics in Liver Research.
Naoto Fujiwara1, Genki Kimura1, Hayato Nakagawa1
1Department of Gastroenterology and Hepatology, Graduate School of Medicine, Mie University, Mie, Japan.
Seminars in Liver Disease
|April 4, 2024
Summary
Spatial transcriptomics maps gene expression in tissues, offering deep insights into liver health and disease. This technology reveals cellular functions, disease mechanisms, and cancer complexities for improved hepatology.
Area of Science:
- Genomics
- Molecular Biology
- Hepatology
Background:
- Spatial transcriptomics is a novel technology for mapping gene expression within tissues.
- It enhances understanding of cellular and molecular dynamics in healthy and diseased livers.
- Bioinformatics strategies are key to analyzing complex tissue data.
Purpose of the Study:
- To explore cellular heterogeneity and cell-cell interactions in the liver.
- To investigate the role of spatial transcriptomics in understanding liver disease pathogenesis.
- To apply spatial transcriptomics to liver cancer research for improved insights.
Main Methods:
- Utilizing sequencing- and imaging-based spatial transcriptomics techniques.
- Integrating advanced bioinformatics for data analysis.
- Applying the technology to study liver tissue architecture and cellular functions.
Main Results:
- Identified distinct zonated functions of hepatocytes crucial for liver metabolism and detoxification.
- Unveiled roles of lipid-associated macrophages in steatosis and endothelial cells in liver repair.
- Delineated intratumor heterogeneity and immune interactions in liver cancer.
Conclusions:
- Spatial transcriptomics significantly advances hepatology.
- It enhances the understanding of liver diseases and their mechanisms.
- This technology holds promise for improving liver disease diagnosis and treatment.
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