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Updated: May 10, 2025

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

Protocol for preparing fresh frozen soybean tissues for spatial transcriptomics.

Ziliang Luo¹, Robert J Schmitz¹

¹Department of Genetics, University of Georgia, Athens, GA, USA.

|April 24, 2025

Summary

This summary is machine-generated.

This study presents a new protocol for spatial transcriptomics on fresh frozen soybean tissues. This method addresses challenges in plant tissue preparation for advanced gene expression analysis.

Keywords:

Genetics Genomics Molecular Biology Plant sciences RNA-seq Sequencing

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Last Updated: May 10, 2025

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A Simple Method for Isolation of Soybean Protoplasts and Application to Transient Gene Expression Analyses

A Simple Method for Isolation of Soybean Protoplasts and Application to Transient Gene Expression Analyses

Published on: January 25, 2018

Area of Science:

Plant biology
Molecular biology
Genomics

Background:

Spatial transcriptomics offers powerful insights into cell-type-specific gene expression.
Existing spatial transcriptomics methods face challenges with plant tissue preparation.

Purpose of the Study:

To develop and present a robust protocol for spatial transcriptomics on fresh frozen soybean tissues.
To overcome limitations in preparing plant tissues for spatial transcriptomic analysis.

Main Methods:

The protocol involves embedding, cryosectioning, fixation, and staining of soybean tissues.
Detailed procedures for library preparation and sequencing are included.
The method is optimized for fresh frozen plant samples.

Main Results:

Successful preparation of fresh frozen soybean tissues for spatial transcriptomics.
The protocol facilitates high-resolution gene expression mapping in plants.

Conclusions:

This protocol enables the application of spatial transcriptomics in soybean research.
It provides a foundation for understanding gene expression within the spatial context of plant tissues.