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Updated: Jul 17, 2025
Isolation and Transcriptome Analysis of Plant Cell Types
Published on: April 7, 2023
Single Cell RNA-Sequencing in Arabidopsis Root Tissues
Yuji Ke1,2, Max Minne1,2, Thomas Eekhout1,2,3
1Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium.
This study details a single-cell RNA sequencing (scRNA-seq) workflow for Arabidopsis root tissue. It provides a protocol for generating and analyzing single-cell transcriptomes to understand cellular differences.
Area of Science:
- Plant Biology
- Genomics
- Molecular Biology
Background:
- Single-cell RNA sequencing (scRNA-seq) offers high resolution for studying cellular heterogeneity.
- Understanding cellular differences is crucial in plant development and stress responses.
Purpose of the Study:
- To describe a protocol for processing Arabidopsis root tissue for scRNA-seq.
- To outline computational methods for analyzing scRNA-seq data.
Main Methods:
- Processing plant tissue into single-cell suspensions (protoplasts).
- Generating single-cell transcriptomes using droplet-based scRNA-seq.
- Computational analysis and visualization of scRNA-seq data.
Main Results:
- A complete experimental and computational workflow for Arabidopsis root scRNA-seq is presented.
- The protocol facilitates the study of cellular heterogeneity in plant roots.
Conclusions:
- This chapter provides a foundational protocol for researchers to establish scRNA-seq workflows for plant studies.
- The described methods enable detailed analysis of single-cell transcriptomic data in plants.
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