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Related Experiment Video

Updated: Sep 5, 2025

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

Spatially resolved transcriptomics and the kidney: many opportunities.

Eryn E Dixon¹, Haojia Wu¹, Elizabeth Sulvarán-Guel¹

¹Division of Nephrology, Department of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.

Kidney International

|July 5, 2022

Summary

This summary is machine-generated.

Spatially resolved transcriptomics (SrT) reveals gene expression in physiological contexts, overcoming limitations of single-cell sequencing. This technology maps gene activity within tissues, aiding disease and development research.

Keywords:

cell signaling histology transcription regulation

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Last Updated: Sep 5, 2025

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

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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Area of Science:

Genomics
Molecular Biology
Physiology

Background:

Understanding gene expression changes in health and disease is crucial for human physiology.
Single-cell/nuclei RNA sequencing (sc/snRNAseq) advanced cell type discovery but requires tissue dissociation.
This dissociation loses critical spatial context of gene expression and cellular microenvironments.

Purpose of the Study:

To review advances in Spatially resolved transcriptomics (SrT).
To provide considerations for implementing SrT in research.
To highlight SrT applications in kidney biology.

Main Methods:

Review of Spatially resolved transcriptomics (SrT) technologies.
Analysis of SrT capabilities for gene mapping resolution and depth.
Examination of SrT applications in biological research, particularly kidney studies.

Main Results:

SrT overcomes tissue dissociation limitations inherent in sc/snRNAseq.
SrT enables high-resolution mapping of hundreds of genes or genome-depth mapping at lower resolution.
Various SrT tools offer different trade-offs between resolution and genomic coverage.

Conclusions:

SrT is a powerful platform for understanding gene expression within its physiological context.
SrT facilitates the study of cellular microenvironments and tissue changes in development and disease.
This review guides researchers in applying SrT, with a focus on kidney biology.