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Updated: Apr 15, 2026

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Published on: June 9, 2020

Deep Sequencing in Microdissected Renal Tubules Identifies Nephron Segment-Specific Transcriptomes.

Jae Wook Lee¹, Chung-Lin Chou¹, Mark A Knepper²

¹Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland.

Journal of the American Society of Nephrology : JASN

|March 31, 2015

Summary

This study profiles gene expression across 14 rat kidney tubule segments using RNA-sequencing and microdissection, creating a valuable resource for nephron research.

Keywords:

collecting ducts nephron transcription factors transcriptional profiling

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Published on: June 9, 2020

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Nuclei Isolation from Adult Mouse Kidney for Single-Nucleus RNA-Sequencing

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Published on: September 20, 2021

Area of Science:

Nephrology
Molecular Biology
Genomics

Background:

Renal tubule function is dictated by gene expression within specific cell types.
Previous gene expression profiling methods lacked sensitivity and accuracy.
RNA-sequencing (RNA-seq) offers a highly sensitive and quantitative approach for transcriptomic research.

Purpose of the Study:

To comprehensively profile gene expression in 14 distinct rat renal tubule segments.
To create a detailed gene expression database for the nephron.
To map alternative exon usage and polyadenylation sites in the kidney.

Main Methods:

Combined classic renal tubule microdissection with deep RNA-sequencing.
Isolated polyadenylated mRNAs from microdissected rat kidney tubule segments.
Sequenced cDNA libraries using the Illumina platform.

Main Results:

Achieved highly pure cell samples through manual microdissection.
Identified transcriptomes with a median depth of 8261 genes in tubule segments.
Generated an extensive, publicly accessible database of nephron gene expression.

Conclusions:

RNA-seq coupled with microdissection provides a sensitive and accurate method for renal transcriptomic profiling.
The created database serves as a valuable resource for understanding kidney function and disease.
The data enables detailed analysis of transcription factors and metabolic pathways along the nephron.