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Research Article
Erratum Notice
Important: There has been an erratum issued for this article. View Erratum Notice
Retraction Notice
The article Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data (10.3791/61715) has been retracted by the journal upon the authors' request due to a conflict regarding the data and methodology. View Retraction Notice
This study presents an enhanced protoplast isolation protocol for root, leaf, stem, and flower tissues of Arabidopsis thaliana. It utilizes optimized enzyme digestion and purification steps to minimize cellular damage and debris, thereby increasing yield and obtaining high-quality protoplasts for single-cell methods, such as single-cell RNA sequencing.
Single-cell RNA sequencing (scRNAseq) has become an essential tool in plant biology to gain high-resolution information on cell type-specific gene expression, developmental dynamics, and tissue-specific responses to environmental factors. A major technical challenge in applying scRNAseq to plants is the efficient and reproducible isolation of viable single cells without cell walls, representing the heterogeneity of plant tissues. Protoplast isolation, which removes the cell wall enzymatically to yield single, living plant cells, is a widely used approach for this purpose. However, successful protoplast isolation requires careful optimization to maintain cell viability and preserve cell-type-specific transcriptome profiles. Here, we present a robust and reproducible protocol for isolating high-quality protoplasts from multiple Arabidopsis thaliana tissues, including above-ground (leaves, stems, flowers) and root tissues. This protocol accounts for the unique physiological properties of tissue types, optimizing enzymatic digestion conditions and purification steps to ensure high yield and broad representation of diverse cell types. The resulting protoplasts are suitable for applications such as scRNAseq, flow cytometry (FACS), and transient gene expression analysis. It allows for the generation of single-cell suspensions from multiple tissue types. The presented method supports exploration of cellular heterogeneity and enhances the reliability of single-cell approaches in plant research.
Single-cell RNA sequencing (scRNAseq) has revolutionized plant biology by enabling the analysis of gene expression at an unprecedented resolution. scRNAseq provides transcriptome information on cellular heterogeneity, developmental trajectories, and responses to environmental stimuli at cell-type-specific resolution1,2,3.
Unlike in animal systems, the rigid plant cell wall and the structural complexity of plant tissues present significant barriers to the efficient isolation of single cells for transcriptomic analysis. Among the available methods, enzymatic removal of the cell wall to produce protoplasts has emerged as a widely used method, which was developed more than 60 years ago4,5,6. Despite its widespread use, protoplast isolation remains a technically demanding procedure that requires tissue-specific optimization to balance cell yield, viability, and a stable transcriptome. Alternative methods, such as single-nucleus RNA sequencing (snRNA-seq), avoid the need for cell wall digestion by isolating nuclei7. However, this comes at the cost of losing information about mature transcripts present in the cytoplasm. Other physical dissociation methods, such as mechanical and laser-assisted microdissection, avoid enzymatic cell wall digestion but are often susceptible to cross-contamination and can result in lower cell viability and limited throughput8,9,10.
Many plant cell atlases have been developed in recent years, particularly for Arabidopsis, providing important insights into the transcriptomic landscapes of various tissues2,11,12,13,14,15,16,17,18. However, these atlases are primarily based on plants in the juvenile or seedling stages, mainly focusing on either root or leaf tissues. The protocols used in these studies require optimization processes for older Arabidopsis tissues, such as mature leaves, flowers, and stems. Additionally, until the use of cell-type-specific sequencing studies such as scRNAseq or Fluorescence-Activated Cell Sorting (FACS) combined with RNA sequencing, the transcriptome changes that the protoplast isolation was causing were not fully accounted for19.
The method presented here builds on previous efforts while introducing several critical improvements: it accounts for the physiological and anatomical variability across plant tissues by optimizing buffer concentrations for both root and above-ground tissues (leaves, stems, flowers) and incorporates gentle purification steps to minimize cellular damage and improve the purity of the protoplasts. Compared to nuclei-based approaches, this method has the potential to retain the whole-cell transcriptome, enabling higher resolution information of mature mRNA molecules present in the cytosol. Importantly, the procedure yields high protoplast viability, heterogeneity, and reproducible concentrations across tissues, ranging from approximately 9.8 × 103 cells/mg in flowers to 2.2 × 102 cells/mg in leaves.
The overall goal of the presented method is to present a robust and reproducible protoplast isolation protocol tailored for multiple tissues of Arabidopsis thaliana, addressing a critical need for high-quality input that covers diverse cell types for plant single-cell studies.
The reagents and the equipment used for this study are listed in the Table of Materials.
1. Buffer preparation
2. Tissue digestion
3. Filtration
4. Washing and Ficoll purification
5. Counting and quality check
The implemented protoplast isolation protocols for above-ground and root tissues successfully enable efficient digestion of the cell wall and the release of intact single cells from all Arabidopsis thaliana tissues. Across the tested tissue types, which included flowers, stems, leaves, and roots, the enzymatic digestion process produced well-separated protoplasts with minimal numbers of undigested cell groups (Figure 2A-D). Evans Blue dye assays confirmed that the protoplasts that displayed spherical morphology with smooth plasma membrane boundaries are viable cells (Figure 1C). For each tissue type, spherical protoplasts were counted. Flowers contained on average 97,875 ± 7,531 (9,788 cells/mg, n = 3), stems 119,025 ± 22,508 (550 cells/mg, n = 4), leaves 210,483 ± 15,572 (225 cells/mg, n = 3), and roots 225,363 ± 52,561 (599 cells/mg, n = 4).
The protoplast suspensions showed a broad distribution of cell sizes and the presence of green or pale plastids, reflecting the heterogeneous cellular composition of each harvested tissue (Figure 3A-D). To confirm this, a protoplast isolation with a transgenic companion cell-specific YFP reporter line was performed, and the suspension contained viable small protoplasts with a YFP signal representing companion cells (Figure 3E). This underscores that the used protoplast isolation protocol is suitable for difficult-to-isolate vascular cells with rigid cell walls.
With the presented optimized method, one can isolate a high number of viable protoplasts with a minimal amount of debris from various tissues of adult plants. To improve the purification of above-ground samples, we included a Ficoll cushion cleaning step to remove released organelles and other cell debris from the digested samples while preserving the transcriptome quality (Figure 4).
In the scRNAseq cDNA libraries generated from the protoplasts, highly expressed housekeeping transcripts such as ACTIN2 and rare/low expressed transcripts such as the homeodomain transcription factor KNAT1, a marker specific to cambial and meristematic cells, as well as the companion cell markers SUC2 and PARCL1, were detected by specific cDNA PCR assays15 (Figure 5). This indicates a broad cell-type representation and heterogeneity of the obtained protoplast population, which was confirmed further by analyzing the scRNAseq data produced by this method15.

Figure 1: Workflow of protoplast isolation steps. Six main steps are shown: (1) buffer preparation, (2) tissue digestion, (3) filtration, (4) wash and Ficoll purification, (5) counting and quality control, and (6) continuing with downstream experiments. Please click here to view a larger version of this figure.

Figure 2: Images of protoplast preparation steps. (A) Representative picture of the chopping stage of the leaf sample (Step 2.1). The upper image shows the harvested tissue with a few drops of buffer in a standard-sized Petri dish and a razor blade for chopping. The image below, on the left, represents the tissue after a few vertical strokes with the razor blade (see arrow). The image below, on the right, represents the chopped sample, ready for the next step. (B) Image of a Ficoll cushion after centrifugation in a 1.5 mL tube (Step 4.3.7). The white arrow indicates the middle layer, which contains protoplasts. (C) Representative microscope image of leaf protoplasts incubated in Evans Blue dye. Scale bar: 250 µm. Please click here to view a larger version of this figure.

Figure 3: Microscope images of generated protoplasts. Protoplast images from each tissue type are displayed. (A) Flower, (B) Stem, (C) Leaf, (D) Root. Scale bar: 250 µm. (E) Confocal microscope images of a companion cell-specific YFP reporter line. The first image (left) represents the expression of the YFP companion cell reporter in the leaf vasculature (green color). The second image (right) represents protoplasts from cells expressing the YFP reporter (green signal). Purple/blue color represents chloroplast auto-fluorescence. Scale bar 10 µm. Please click here to view a larger version of this figure.

Figure 4: Microscope images of leaf protoplasts before (A) and after (B) Ficoll cushion cleaning. Scale bars: 250 µm. Please click here to view a larger version of this figure.

Figure 5: Quality control PCRs of scRNAseq libraries. Representative gel images of quality control PCRs of root and above-ground tissue single-cell RNAseq libraries. Tested genesSUC2, PARCL, KNAT1, ACT2 (A to D, respectively), and for each tissue: flower, stem, leaf, root from left to right, respectively. cDNA (+) is used as a positive control, and water is used as a negative control. Please click here to view a larger version of this figure.
| Root Protoplasting Buffer | Flower/Stem/Leaf Protoplasting Buffer |
| 600 mM Mannitol | 400 mM Mannitol |
| 2 mM MgCl2 | - |
| 0.1% BSA | 0.1% BSA |
| 2 mM CaCl2 | 10 mM CaCl2 |
| 2 mM MES pH 5.7 | 20 mM MES pH 5.7 |
| 10 mM KCl | 20 mM KCl |
| Adjust pH to 5.5 with 1M Tris Base if necessary | Adjust pH to 5.5 with 1M Tris Base if necessary |
Table 1: Protoplast isolation buffer compositions. Protoplast isolation buffer recipes for root and above-ground (flower, stem, leaf) tissues are provided.
This optimized protocol for isolating protoplasts from various Arabidopsis tissues was tailored for scRNAseq applications, analyzing the whole transcriptome present in the cytoplasm and nuclei. Tissue-specific optimization of the buffers and additional steps for digestion and purification resulted in robust and reproducible yields across different tissues. Specifically, flower protoplasts averaged ~98,000 cells per sample (~9,788 cells per mg tissue), stem protoplasts ~119,000 cells (~550 cells per mg), leaf protoplasts ~210,500 cells (~225 cells per mg), and root protoplasts ~225,000 cells (~599 cells per mg), reflecting the structural and physiological diversity of these tissues.
A key refinement in this protocol was the use of a Ficoll-based cushion instead of the more commonly used sucrose-based gradients/cushions for purification. Unlike sucrose, which is taken up by cells and has a major effect on the transcriptome13,20,21, Ficoll is osmotically inert and membrane-impermeable, thereby preserving RNA integrity during isolation22. This step also reduced the number of free organelles, such as chloroplasts, from broken cells and cell debris in the suspension. The presence of such debris can interfere with droplet formation by clogging the channels of microfluidic devices or resulting in the presence of more than one cell in formed droplets, which contributes to ambient RNA contamination. All of these factors can lead to incorrect conclusions or biases in the analysis of scRNA-seq data.
It was shown that protoplast isolation can alter the transcriptome of plant cells2,15,16,19. A key strategy in this protocol to minimize this artifact is maintaining protoplasts at 4 °C (on ice) after enzymatic digestion, which slows down metabolic and transcription activity and, thus, reduces transcriptional changes known to be associated with protoplast isolation. In addition, it is crucial to keep tissue harvesting time consistent across replicates and align it with the study objective, as variations in timing have been shown to influence both protoplast-induced genes and circadian-regulated transcripts detected in scRNA-seq datasets15.
In this method, besides producing single cells with minimal debris, another very important point was keeping the heterogeneity of the tissues to potentially represent all cell types. The diversity in the protoplast suspensions was confirmed by the detection of different morphologies of protoplasts, including diverse sizes and the presence of signals from cell-type-specific reporter lines within the obtained population (Figure 2). Additionally, the protoplast population was evaluated by detecting rare and cell-type-specific as well as housekeeping transcripts in scRNA-seq cDNA libraries using PCR (Figure 4). These included rare marker genes of the shoot apical meristem, and markers of companion cells15. The successful capture of these transcripts confirms that the presented method allows for the isolation of diverse cell types with high integrity, making it a valuable tool for advancing single-cell research in plants. In addition to scRNAseq, this method can be used for flow cytometry, transient gene expression analysis, and plant regeneration assays as well.
The authors declared no conflict of interest.
This article is part of a project that has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant Agreement No. 810131).
| Cellulase RS | Duchefa Biochemie | C8003 | |
| Centrifuge 5810R model | Eppendorf | 5810000010 | |
| Ficoll PM 400 | Sigma-Aldrich | 26873-85-8 | |
| Macerozyme R10 | Duchefa Biochemie | M8002 | |
| Microcentrifuge 5417R model | Eppendorf | discontinued | |
| Puradisc 30 Sterile Syringe Filter, 0.2 µm | Cytiva | 10462200 | Referred as 0.2 µm filter in the protocol |
| Sterile Cell Strainer 40 µm Nylon Mesh | Fisherbrand | 22363547 | |
| Sterile Cell Strainer 70 µm Nylon Mesh | Fisherbrand | 22363548 |