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Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
Published on: June 9, 2020
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Spatially resolved transcriptomic profiling for glomerular and tubulointerstitial gene expression in C3
Jung Hun Koh1,2, Minji Kang3, Sehoon Park1
1Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Clinical Kidney Journal
|May 26, 2025
Summary
Spatial transcriptomics reveals key gene expression changes in Complement 3 (C3) glomerulopathy (C3G). Upregulated extracellular matrix (ECM) genes offer new insights into C3G pathophysiology.
Area of Science:
- Nephrology
- Molecular Biology
- Genomics
Background:
- Complement 3 (C3) glomerulopathy (C3G) is a rare but significant kidney disease.
- The transcriptomic profile of C3G remains largely unknown.
- Spatial transcriptomics offers a novel approach to investigate C3G at a substructure level.
Purpose of the Study:
- To investigate the substructure-specific gene expression profile of C3G.
- To identify differentially expressed genes (DEGs) in C3G kidney tissue.
- To explore the potential role of identified DEGs in C3G pathophysiology.
Main Methods:
- Spatial transcriptomic profiling using GeoMx Digital Spatial Profiler on kidney biopsy specimens.
- Comparison of three C3G cases with seven donor controls and 41 other glomerulonephritis cases.
- In vitro validation of upregulated DEGs in human glomerular endothelial cells co-cultured with complement-stimulated macrophages.
Main Results:
- Identified 229 and 157 highly expressed DEGs in C3G glomeruli compared to controls.
- Top enriched Gene Ontology terms included protease binding and extracellular matrix (ECM) structural constituent.
- Genes related to ECM and interferon activity were significantly upregulated, with potential interactions between complement C3 and ECM.
Conclusions:
- C3G exhibits significant, disease-specific transcriptomic alterations.
- Upregulation of ECM-related genes provides potential insights into C3G pathophysiology.
- Further research into these transcriptomic changes may reveal novel therapeutic targets.

