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Updated: Jan 21, 2026
05:46
Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
Published on: June 9, 2020
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Evolving Clinical Applications of Tissue Transcriptomics in Kidney Disease
Andrea L Oliverio1, Tiffany Bellomo2, Laura H Mariani1
1Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.
Frontiers in Pediatrics
|August 10, 2019
Summary
Transcriptomics reveals diverse kidney disease mechanisms beyond traditional classifications. Gene expression profiling helps identify patient subgroups and potential drug targets for personalized nephrotic syndrome treatment.
Area of Science:
- Nephrology
- Genomics
- Molecular Biology
Background:
- Nephrotic syndrome is traditionally classified by histopathology (e.g., FSGS, minimal change disease) and steroid response in pediatric patients.
- Current classifications fail to explain varied clinical presentations and treatment responses in patients with similar histopathology.
- Transcriptional and posttranscriptional gene regulation are implicated in heterogeneous kidney disease phenotypes.
Purpose of the Study:
- To review clinically relevant transcriptomic techniques for understanding kidney disease.
- To highlight the role of gene expression profiling in identifying mechanisms of kidney damage.
- To explore transcriptomics' potential in defining disease subgroups and guiding personalized medicine.
Main Methods:
- Discussion of bulk tissue and single-cell transcriptomics methodologies.
- Analysis of the strengths and limitations of each transcriptomic technique.
- Review of recent kidney research applications of transcriptomics.
Main Results:
- Gene expression profiles offer insights into active transcriptional programs in kidney tissues.
- Transcriptomics aids in understanding the biologic mechanisms underlying progressive chronic kidney disease.
- This approach may identify patients with shared kidney damage pathways.
Conclusions:
- Transcriptomics provides a powerful tool to unravel the heterogeneity of kidney diseases.
- It facilitates the identification of novel therapeutic targets and personalized treatment strategies.
- Integrating transcriptomics into systems biology models can advance precision medicine in nephrology.
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