Related Experiment Video
Updated: Aug 12, 2026

08:33
Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants
Published on: August 5, 2020
Sample Preparation for Imaging-Based Spatial Transcriptomics in Rigid Plant Tissues (Roots, Shoots)
Hanhong Liu1, Jingyuan Zhang2,3, Mingyuan Zhu1
1Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA.
Bio-Protocol
|August 11, 2026
Summary
We developed a new protocol for preparing rigid plant tissues, like rice roots, for spatial transcriptomics. This method preserves RNA integrity and spatial information, enabling detailed gene expression studies in plants.
Area of Science:
- Plant Biology
- Molecular Biology
- Genomics
Background:
- Plant roots are crucial for development and gene regulation, responding dynamically to environmental stimuli.
- Imaging-based spatial transcriptomics offers high-resolution gene expression mapping with spatial context.
- Current methods struggle with preparing rigid plant tissues for spatial transcriptomics.
Purpose of the Study:
- To present a practical protocol for preparing rigid plant tissue samples for imaging-based spatial transcriptomics.
- To optimize sample preparation for effective tissue handling, RNA integrity, and spatial organization.
- To enable broader application of spatial transcriptomics in plant research.
Main Methods:
- Developed a detailed protocol building upon existing methods for rigid plant tissue preparation.
- Incorporated steps for effective tissue fixation, sectioning, and RNA preservation.
- Included an integrated sample attachment test to evaluate tissue adhesion to slides.
Main Results:
- The protocol successfully prepares rigid plant tissues, such as rice roots, for spatial transcriptomics.
- RNA integrity and spatial organization are maintained throughout the sample preparation process.
- The integrated attachment test ensures reliable sample adhesion to commercial slides.
Conclusions:
- This optimized protocol provides a robust solution for spatial transcriptomic analysis in rigid plant tissues.
- The 8-day workflow facilitates consistent and reliable gene expression mapping in plants.
- Enables advanced research into plant cell development and gene regulation using spatial transcriptomics.
Keywords:
Crop rootsImaging-based spatial transcriptomicsPFA-based fixationParaffin-embedded tissue sectioningRigid plant tissuesSection adhesion test
