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Published on: November 11, 2014
Benchmarking plant single cell RNA-sequencing sample processing strategies
Thomas Eekhout1,2,3, Lindsy De Veirman1,2, Jolien De Block1,2
1Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
The EMBO Journal
|May 9, 2026
Summary
Accurate plant cell profiling requires optimizing cell enrichment and single-cell transcriptomics (scRNA-seq). This study compared methods, revealing biases in cell purification and scRNA-seq workflows for improved plant single-cell data quality.
Area of Science:
- Plant Biology
- Genomics
- Cell Biology
Background:
- Isolating single plant cells from tissues presents challenges due to selective biases.
- Accurate profiling of diverse plant cell types necessitates optimized enrichment and single-cell transcriptomics (scRNA-seq) methodologies.
- Understanding plant cell heterogeneity is crucial for advancing plant science.
Purpose of the Study:
- To systematically compare protoplast enrichment technologies and scRNA-seq platforms for plant root studies.
- To identify and address biases in current cell purification and scRNA-seq workflows.
- To provide practical guidance for enhancing data quality in plant single-cell research.
Main Methods:
- Comparative analysis of protoplast enrichment: conventional flow cytometry, image-based flow cytometry, and magnetic cell sorting.
- Evaluation of scRNA-seq platforms: 10X Genomics Chromium and BD Rhapsody.
- Application to Arabidopsis root samples, including single-nucleotide polymorphism analysis for doublet detection.
Main Results:
- Image-based flow cytometry enhanced precision with customizable gating.
- Magnetic sorting improved processing speed and captured cell size heterogeneity.
- Both scRNA-seq platforms captured root cell heterogeneity, but exhibited platform-specific cell type composition differences.
- Computational doublet detection misclassified a significant proportion of true single cells.
Conclusions:
- Key biases exist in plant cell purification and scRNA-seq workflows.
- Image-based flow cytometry and magnetic sorting offer distinct advantages for cell enrichment.
- Platform choice influences scRNA-seq results, highlighting the need for careful consideration.
- Methodological improvements are essential for accurate plant single-cell studies.
