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Related Experiment Video

Updated: Jul 9, 2025

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

A SELECTIVE REVIEW OF RECENT DEVELOPMENTS IN SPATIALLY VARIABLE GENE DETECTION FOR SPATIAL TRANSCRIPTOMICS.

Sikta Das Adhikari^1,2, Jiaxin Yang², Jianrong Wang²

¹Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA.

|December 4, 2023

Summary

This review covers new methods for identifying spatially variable genes (SVGs) from spatial transcriptomics data. Understanding SVG patterns is crucial for advancing biological insights from tissue analysis.

Keywords:

Single cell RNA sequencing Spatial transcriptomics Spatially resolved transcriptomics Spatially variable genes

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Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Advanced spatial transcriptomic technologies are revolutionizing biological research.
Identifying spatially variable genes (SVGs) is a critical first step in analyzing spatial transcriptomics data.
SVGs exhibit specific expression patterns across tissues, informing downstream analyses.

Conclusions:

Accurate SVG detection is fundamental for interpreting spatial transcriptomics data.
The reviewed methods provide valuable tools for researchers.
This review highlights the dynamic nature of spatial transcriptomics research.