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Updated: Jun 4, 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

Acquisition and transcriptomic analysis of tissue micro-regions using a capillary-based method.

Kaiqiang Ye¹, Yunxia Guo², Ying Wang¹

¹State Key Laboratory of Digital Medical Engineering, School of Biological Science & Medical Engineering, Southeast University, Nanjing, Jiangsu, China.

Journal of Pharmaceutical and Biomedical Analysis

|January 5, 2025

Summary

This summary is machine-generated.

We developed an efficient capillary-based microdissection system (CMS) for isolating microregions of interest (mROIs). This method enables precise spatial transcriptomic profiling (CMS-seq) of tissue sections, advancing multi-omics research.

Keywords:

Alzheimer's disease Microdissection Spatial transcriptomics Tissue sections

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Published on: November 13, 2011

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Published on: November 13, 2011

Area of Science:

Molecular Biology
Genomics
Neuroscience

Background:

Understanding multicellular organisms requires site-specific transcriptome analysis of microregions of interest (mROIs).
Efficient isolation of mROIs for spatial gene expression detection remains a significant challenge in biological research.

Purpose of the Study:

To develop an efficient capillary-based microdissection system (CMS) for precise isolation of targeted samples from tissue sections.
To enable spatial transcriptomic profiling (CMS-seq) for detailed gene expression analysis in specific tissue microregions.

Main Methods:

Development of a capillary-based microdissection system (CMS).
Optimization of sampling procedures for mROI isolation.
Application of CMS for spatial gene expression profiling (CMS-seq).

Main Results:

CMS achieved high mROI isolation efficiency (97.9%).
CMS-seq successfully detected sufficient genes for profiling spatial transcriptomes.
Spatial heterogeneity was uncovered in mouse cortex and Alzheimer's disease hippocampus subregions.

Conclusions:

CMS provides an efficient and precise method for isolating mROIs from tissue sections.
CMS-seq is a powerful tool for spatial transcriptomic profiling.
This technology holds significant promise for spatial multi-omics applications, particularly in neuroscience and disease research.