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Related Experiment Video

Updated: Aug 14, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Single-cell and spatial sequencing application in pathology.

Yoon-Seob Kim^1,2, Jinyong Choi^1,3, Sug Hyung Lee^3,4,5

¹Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Journal of Pathology and Translational Medicine

|January 9, 2023

Summary

This summary is machine-generated.

Spatial sequencing combines histology with mRNA expression for disease analysis. This approach offers molecular insights for diagnostics and prognostics, enhancing pathological understanding.

Keywords:

Diseases Histology Pathology Single-cell sequencing Spatial sequencing Transcriptome

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Last Updated: Aug 14, 2025

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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:

Pathology
Genomics
Bioinformatics

Background:

Diagnostic pathology traditionally relies on histology, supplemented by methods like immunohistochemistry.
Single-cell RNA sequencing (scRNA-seq) offers cellular heterogeneity insights but lacks histologic context.
Spatial sequencing bridges this gap by mapping mRNA expression onto histological sections.

Purpose of the Study:

To review current spatial transcriptome sequencing methods.
To provide guidance for pathologists adopting spatial sequencing.
To explore integration of spatial sequencing with scRNA-seq.

Main Methods:

Review of technical backgrounds, tissue preparation, and analytical procedures for spatial sequencing.
Analysis of pathology examples to illustrate applications.
Discussion on integrating spatial sequencing with scRNA-seq data.

Main Results:

Spatial sequencing provides mRNA expression data for both diseased and stromal cells within a histological context.
The review details various spatial sequencing techniques and their analytical workflows.
Integration with scRNA-seq enhances the depth of molecular and spatial information.

Conclusions:

Spatial sequencing offers simultaneous histologic and single-cell molecular information.
This technology can provide a molecular basis for pathological diagnosis and improve disease understanding.
Potential clinical applications in prognostics and diagnostic pathology are significant.