Related Experiment Video
Updated: May 27, 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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Spatial transcriptomics in autoimmune rheumatic disease: potential clinical applications and perspectives.
Atsuko Tsujii Miyamoto1,2,3, Hiroshi Shimagami1,2,3, Atsushi Kumanogoh1,2,4,5,6,7
1Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Inflammation and Regeneration
|February 20, 2025
Summary
Spatial transcriptomics maps gene expression within tissues, advancing understanding of autoimmune rheumatic diseases. This technology offers new insights into immune cell interactions and potential clinical applications for personalized treatment.
Area of Science:
- Biotechnology
- Genomics
- Immunology
Background:
- Spatial transcriptomics integrates gene expression with spatial information at the cellular level.
- Developed in the early 2010s, it has evolved with various advanced technologies.
- Its application in clinical samples enhances understanding of disease processes and cellular interactions.
Purpose of the Study:
- To review the development of spatial transcriptomics.
- To explore its insights into the pathophysiology of autoimmune rheumatic diseases.
- To discuss its clinical potential and bedside translation.
Main Methods:
- In situ hybridization
- In situ sequencing
- In situ spatial barcoding
- Microdissection-based methods
Main Results:
- Spatial transcriptomics enables precise spatial assessments at the single-cell level.
- It identifies gene expressions in specific diseased foci, improving understanding of cellular interactions.
- Provides insights into immune cell distribution and interactions in rheumatic disease tissues.
Conclusions:
- Spatial transcriptomics is a powerful tool for studying complex diseases like rheumatoid arthritis, lupus, and Sjögren's syndrome.
- It offers a deeper understanding of immune cell roles in disease pathogenesis.
- The technology holds significant promise for clinical applications and personalized medicine in rheumatology.
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