This article provides a comprehensive overview of the BD Rhapsody platform for plant single-cell RNA sequencing (scRNA-seq).
This article provides a comprehensive overview of the BD Rhapsody platform for plant single-cell RNA sequencing (scRNA-seq). Designed for researchers and biotech professionals, it explores the fundamental principles of plant single-cell analysis, details optimized workflows from protoplast isolation to data analysis, addresses common challenges in plant tissue processing, and validates the platform's performance against other technologies. The guide synthesizes current methodologies to empower robust experimental design and discovery in plant development, stress response, and synthetic biology.
Single-cell RNA sequencing (scRNA-seq) in plant systems has revolutionized our understanding of cellular heterogeneity, developmental processes, and stress responses. Moving beyond bulk tissue analysis, which averages signals across diverse cell types, single-cell resolution reveals the precise transcriptional states of individual cells. This is particularly transformative in plants, where cell walls and diverse metabolites present unique technical challenges. Within the context of thesis research utilizing the BD Rhapsody platform, this approach enables the systematic cataloging of plant cell types, the discovery of rare cell populations, and the dissection of complex signaling networks driving development and immunity.
scRNA-seq applied to Arabidopsis thaliana root tips has deconstructed previously defined zones into fine-scale, continuous trajectories, identifying novel regulators of cell fate determination.
Key Quantitative Findings: Table 1: Cell Population Distribution in Arabidopsis Root Tip (scRNA-seq Analysis)
| Cell Type / Cluster | Approximate Percentage (%) | Number of Key Marker Genes Identified |
|---|---|---|
| Epidermal (Non-hair) | 12% | 8 |
| Epidermal (Hair) | 8% | 15 |
| Cortex | 18% | 10 |
| Endodermis | 10% | 12 |
| Pericycle | 7% | 9 |
| Stele (Vascular) | 25% | 22 |
| Quiescent Center | <1% | 5 |
| Total Cells Analyzed | ~5,000 | ~80+ |
Single-cell analysis of pathogen-infected leaves reveals distinct responder and bystander cell populations, quantifying the spatiotemporal dynamics of defense hormone signaling.
Key Quantitative Findings: Table 2: Immune Response Heterogeneity in Tomato Leaf upon *Pseudomonas Infection*
| Cell Cluster | Percentage of SA+ Cells | Percentage of JA+ Cells | Differentially Expressed Genes (DEGs) |
|---|---|---|---|
| Guard Cells | 85% | 15% | 320 |
| Mesophyll (Responder) | 45% | 70% | 1,150 |
| Mesophyll (Bystander) | 5% | 10% | 85 |
| Vascular-Associated | 75% | 30% | 650 |
Objective: To isolate high-quality, intact nuclei from plant tissue for single-cell RNA sequencing using the BD Rhapsody platform.
Materials:
Procedure:
Objective: To perform targeted sequencing for a predefined panel of plant stress-responsive genes from single-cell libraries.
Materials:
Procedure:
Title: Plant Immune Signaling Network at Single-Cell Level
Title: BD Rhapsody Plant scRNA-seq Workflow
Table 3: Essential Reagents for Plant Single-Cell Research on BD Rhapsody
| Reagent / Material | Function / Role |
|---|---|
| BD Rhapsody Single-Cell Analysis System | Comprehensive platform for capturing, barcoding, and processing single cells/particles. |
| Plant-Specific Nuclei Extraction Buffer | Gentle lysis of plant cell walls while preserving nuclear membrane integrity and RNA. |
| RNase Inhibitor (e.g., Protector) | Critical for preventing RNA degradation during prolonged plant tissue processing. |
| DAPI Stain | For visualizing and counting isolated nuclei to assess quality and concentration. |
| BD Rhapsody WTA Amplification Kit | For whole-transcriptome amplification from single-cell lysates. |
| BD Rhapsody Targeted mRNA Panels (Custom) | For focused, cost-effective sequencing of specific plant gene sets (e.g., development, stress). |
| Magnetic Beads (Streptavidin) | For targeted panel capture and post-amplification cleanup steps. |
| Double-Sided Cell Strainers (20µm, 40µm) | For sequential filtration to remove debris and obtain clean nuclei suspension. |
This application note details the operational principles and protocols of the BD Rhapsody Single-Cell Analysis System within a broader research thesis on plant single-cell genomics. The platform's core technologies—Molecular Whole Transcriptome Analysis (WTA) and the Molecular Indexing (MID) workflow enabled by Magnetic Beads (MWB)—enable high-throughput, targeted single-cell RNA sequencing. This document provides current methodologies, reagent specifications, and data analysis frameworks for researchers and drug development professionals.
The BD Rhapsody platform is a high-throughput, bead-based system for single-cell analysis that captures and barcodes cellular mRNA. The process hinges on two main components:
The system is uniquely suited for plant cell research where cell wall digestion and protoplast isolation are critical pre-processing steps.
Single cells are dispensed alongside MWBs into a microwell plate. Each bead is coated with hundreds of thousands of oligonucleotides containing three key segments:
This design ensures that every cDNA molecule derived from a single cell is tagged with the same cell label and a unique UMI, enabling accurate digital counting and elimination of PCR duplicates.
Materials:
Procedure:
Diagram Title: BD Rhapsody MWB Single-Cell Barcoding Workflow
The WTA protocol converts the pooled, barcoded cDNA into a sequencing-ready library. It involves cDNA amplification, enzymatic fragmentation, sample index PCR, and library purification to create Illumina-compatible libraries for whole-transcriptome sequencing.
Materials:
Procedure:
Diagram Title: WTA Library Preparation Steps
Table 1: BD Rhapsody System Performance Metrics
| Parameter | Specification | Notes for Plant Research |
|---|---|---|
| Cells per Run | 1,000 - 20,000 | Optimize based on protoplast yield. |
| Cell Capture Efficiency | ~65% | Varies with protoplast quality & size. |
| Reads per Cell (Recommended) | 10,000 - 50,000 | Sufficient for most plant transcriptomes. |
| UMI per Cell (Sensitivity) | 500 - 5,000+ | Depends on cell type & mRNA content. |
| Doublet Rate | <5% (at cell load capacity) | Critical for heterogeneous tissues. |
| Technical Noise (CV) | <10% | Enables detection of low-expression genes. |
Table 2: Key Reagent Solutions for Plant Single-Cell Experiments
| Reagent / Material | Function | Critical Consideration for Plants |
|---|---|---|
| Plant Protoplast Isolation Kit | Enzymatic digestion of cell wall to release intact protoplasts. | Optimize enzyme mix (cellulase, pectinase) and osmoticum for each species/tissue. |
| BD Rhapsody Beads (MWB) | Nanowell co-partitioning and molecular indexing of mRNA. | Standardized platform component. |
| BD Rhapsody Cartridge | Microfluidic device for single-cell/bead partitioning. | Standardized platform component. |
| BD Rhapsody WTA & cDNA Kits | Reverse transcription, amplification, and library construction. | Standardized chemistry; compatible with plant mRNA. |
| SPRISelect Beads | Size-selective purification of cDNA and libraries. | Standard for clean-up steps. |
| Viability Stain (e.g., PI, FDA) | Assess protoplast integrity and viability pre-loading. | Aim for >80% viability to reduce background. |
| RNase Inhibitors | Protect RNA during protoplast isolation and handling. | Essential due to high RNase activity in some plant tissues. |
Aim: To generate a single-cell transcriptome atlas of Arabidopsis thaliana root.
Pre-Analysis: Protoplast Preparation
Platform Analysis (BD Rhapsody)
Post-Analysis: Bioinformatics Pipeline
This application, within the broader BD Rhapsody platform thesis, demonstrates how plant single-cell RNA sequencing (scRNA-seq) deconvolutes heterogeneous tissue responses to abiotic stress. The goal is to identify novel cell-type-specific drought tolerance mechanisms and potential genetic targets for crop improvement.
Table 1: Summary of scRNA-seq Run Metrics from a Representative Root Tip Experiment
| Metric | Value | Description/Implication |
|---|---|---|
| Number of Cells Captured | 8,542 | High-quality transcriptomes post-QC. |
| Median Genes per Cell | 2,187 | Indicates good transcriptome coverage. |
| Mean Reads per Cell | 50,000 | Sufficient sequencing depth for robust analysis. |
| Cell Types Identified (Clusters) | 12 | Corresponds to known root cell types (e.g., meristem, epidermis, cortex, endodermis, stele). |
| Differential Genes (Drought vs. Control) | 1,544 | Total genes significantly dysregulated (p-adj < 0.01). |
| Unique Marker Genes | 287 | Cell-type-specific markers identified. |
Table 2: Cell-Type-Specific Drought Response in Root Endodermis
| Cell Cluster | Key Upregulated Pathway (Drought) | Top Upregulated Gene (Log2FC) | Potential Function |
|---|---|---|---|
| Endodermis | Phenylpropanoid Biosynthesis | PAL1 (+4.8) | Lignin deposition, barrier formation |
| Cortex | Osmolyte Biosynthesis | P5CS1 (+5.2) | Proline accumulation, osmotic adjustment |
| Meristem | Cell Cycle Arrest | KRP2 (+3.1) | Growth suppression under stress |
Protocol 1.1: Protoplast Isolation from Arabidopsis thaliana Root Tips for BD Rhapsody
Objective: To generate a high-viability, single-cell suspension from plant tissue compatible with the BD Rhapsody system.
Materials:
Procedure:
Protocol 1.2: BD Rhapsody scRNA-seq Library Preparation & Analysis Workflow
Objective: To generate cDNA libraries from single-cell lysates and perform bioinformatic analysis.
Procedure (Wet Lab):
Procedure (Bioinformatics):
Seven Bridges pipeline or Cell Ranger (with a custom plant reference genome) for alignment (STAR), UMI counting, and digital expression matrix generation.Seurat or Scanpy.DESeq2 or MAST to identify differentially expressed genes (DEGs) between conditions within each cell type.clusterProfiler.This note details the use of the BD Rhapsody platform to dissect the plant immune landscape at single-cell resolution during a Botrytis cinerea infection, identifying rare, transcriptionally distinct cell populations involved in hypersensitive response (HR) and systemic acquired resistance (SAR).
Table 3: scRNA-seq Immune Profiling of Infected Leaf Tissue
| Metric | Value | Note |
|---|---|---|
| Total Cells Analyzed | 12,311 | From infection site border at 24 hpi. |
| Immune-Activated Clusters | 3 of 15 | Identified by high expression of PR1, NLR genes. |
| Putative Sentinel Cells | ~0.5% of total | Rare cluster expressing unique RLK/RLP and ICS1. |
| Inter-Cluster Communication Pairs | 45 | Predicted via ligand-receptor analysis (NicheNet). |
Protocol 2.1: Isolation of Single Cells from Botrytis-Infected Leaf Tissue
Objective: To obtain a viable single-cell suspension from a localized infection site for immune profiling.
Key Modification from Protocol 1.1: The enzyme solution is modified to 0.8% Cellulase R10, 0.2% Macerozyme R10, and includes 0.01% Pectolyase Y-23 for more robust leaf mesophyll digestion. All steps are performed in RNase-free conditions. Infection is standardized by applying a 5 µL droplet of B. cinerea spores (1x10⁵ spores/mL) to a gently wounded site.
Table 4: Essential Reagents for Plant Single-Cell RNA-seq Studies
| Reagent / Kit | Vendor (Example) | Function in Protocol |
|---|---|---|
| Cellulase R10 / Macerozyme R10 | Yakult Pharmaceutical | Enzymatic digestion of plant cell walls to release protoplasts. |
| BD Rhapsody Single-Cell Analysis System | BD Biosciences | Platform for capturing single cells, barcoding mRNA, and preparing sequencing libraries. |
| BD Rhapsody WTA Amplification Kit | BD Biosciences | For amplification of barcoded cDNA and preparation of sequencing-ready libraries. |
| SMK & UMI Beads | BD Biosciences | Beads containing sample multiplexing tags and unique molecular identifiers for cell/transcript labeling. |
| PEG-8000 | Sigma-Aldrich | Osmoticum for simulating drought stress in plants. |
| Pectolyase Y-23 | Kyowa Chemical | Supplementary enzyme for digesting pectin in tough tissues (e.g., leaf). |
| RNase Inhibitor | Takara Bio | Critical for maintaining RNA integrity during protoplast isolation. |
| Custom Plant Reference Genome | Ensembl Plants / TAIR | Required for accurate read alignment and expression quantification. |
Title: Abiotic Stress Signaling Network in a Plant Cell
Title: Plant scRNA-seq Workflow on BD Rhapsody Platform
Title: Core Plant Immune Pathway from PAMP to SAR
The rigid, carbohydrate-rich plant cell wall presents a primary physical barrier to high-quality single-cell suspension generation, a prerequisite for single-cell RNA sequencing (scRNA-seq) on platforms like the BD Rhapsody. This document, part of a broader thesis on advancing plant single-cell research with the BD Rhapsody platform, details the core challenges and provides actionable protocols to overcome them.
The following table summarizes key metrics for common enzymatic digestion approaches used to generate viable protoplasts (cells without walls).
Table 1: Comparison of Protoplast Isolation Protocols for Major Plant Tissues
| Plant Tissue | Recommended Enzyme Cocktail | Incubation Time (Hours) | Typical Yield (Protoplasts/g FW) | Viability (%) | Key Notes |
|---|---|---|---|---|---|
| Arabidopsis Leaves | 1.5% Cellulase R10, 0.4% Macerozyme R10, 0.4M Mannitol | 3-4 | 1.0 - 5.0 x 10⁶ | 80-95 | Requires gentle vacuum infiltration. |
| Rice Root Tips | 2.0% Cellulase RS, 0.5% Macerozyme R10, 0.1% Pectolyase Y-23 | 2-3 | 0.5 - 2.0 x 10⁶ | 70-85 | Pectolyase critical, but time must be minimized. |
| Populus Cambium | 1.2% Cellulase, 0.6% Macerozyme, 0.2% Driselase | 6-8 | 0.2 - 1.0 x 10⁶ | 60-80 | Longer digestion in mild shaking. Low yield common. |
| Tomato Fruit Pericarp | 1.0% Cellulase, 0.5% Macerozyme, 0.05% Pectolyase | 1-2 | 3.0 - 8.0 x 10⁶ | 85-95 | Tissue is naturally softer; over-digestion risks lysis. |
Objective: Generate a high-viability, single-cell suspension from mature leaf tissue.
Materials: See "Scientist's Toolkit" below.
Procedure:
Objective: Prepare sequencing-ready libraries from plant protoplasts.
Procedure:
Title: Plant Protoplast scRNA-seq Workflow for BD Rhapsody
Title: Enzymatic Breakdown of Major Plant Cell Wall Components
Table 2: Essential Reagents for Plant Protoplast scRNA-seq
| Reagent / Material | Function / Purpose | Example Product/Catalog |
|---|---|---|
| Macerozyme R10 | Degrades pectin in the middle lamella, separating cells. | Yakult Pharmaceutical |
| Cellulase R10 / RS | Hydrolyzes cellulose microfibrils in the primary cell wall. | Yakult Pharmaceutical |
| Pectolyase Y-23 | Powerful pectinase for tough tissues; use sparingly to maintain viability. | Sigma-Aldrich |
| Driselase | Crude enzyme mix with hemicellulase & secondary cellulase activity. | Sigma-Aldrich |
| Osmoticum (Mannitol) | Maintains osmotic pressure to prevent protoplast lysis during and after digestion. | Millipore-Sigma |
| W5 Solution (Ca²⁺ rich) | Washing and resuspension solution; Ca²⁺ stabilizes the protoplast membrane. | In-house formulation (154mM NaCl, 125mM CaCl₂, etc.) |
| BD Rhapsody Enhanced mRNA Kit | Capture beads and chemistry optimized for sensitive mRNA capture from lysed cells. | BD Biosciences 633801 |
| 40-70 µm Cell Strainer | Removes undigested debris and cell clumps to ensure a single-cell suspension. | Falcon, Pluriselect |
| Sucrose (Molecular Biology Grade) | For density gradient purification of viable protoplasts. | Millipore-Sigma |
| Calcein-AM Viability Stain | Fluorescent live-cell stain for rapid viability assessment pre-loading. | Thermo Fisher Scientific |
Within the context of a BD Rhapsody platform thesis for plant single-cell sequencing, rigorous pre-experimental planning is paramount. This document outlines critical considerations and protocols for project design and sample selection to ensure robust, interpretable data generation.
Clearly defining the biological question dictates all downstream choices. For plant research, objectives may include cataloging cell types in a root, understanding stress responses, or tracing developmental lineages.
Appropriate biological replicates are non-negotiable for statistical power. The nature of the plant tissue, its cellular heterogeneity, and the experimental perturbation guide sample choice.
Table 1: Sample Replication & Cell Number Guidance for Plant Tissues
| Plant Tissue Type | Recommended Biological Replicates (Minimum) | Target Viable Cells per Sample | Key Consideration |
|---|---|---|---|
| Root Tip (Meristematic) | 4-5 | 5,000 - 10,000 | High enzymatic sensitivity; rapid processing. |
| Leaf Mesophyll | 3-4 | 7,000 - 12,000 | Chloroplast removal may be necessary for sequencing. |
| Callus/Suspension Culture | 3 | 10,000 - 15,000 | Lower complexity, often higher cell yield. |
| Developing Seed/Fruit | 5-6 | 3,000 - 8,000 | Extreme heterogeneity and complex cell walls. |
Diagram Title: Pre-Experimental Workflow & QC Checkpoints for Plant scRNA-seq
Table 2: Essential Research Reagent Solutions for Plant Single-Cell on BD Rhapsody
| Item | Function / Purpose | Example / Note |
|---|---|---|
| Cell Wall Digesting Enzymes | Generate protoplasts by degrading cellulose, hemicellulose, and pectin. | Custom blend of Cellulase R-10, Macerozyme R-10, Pectolyase. Concentration is tissue-specific. |
| Osmoticum | Maintains osmotic pressure to prevent protoplast lysis during and after digestion. | 0.4-0.6 M Mannitol or Sorbitol in digestion and wash buffers. |
| BD Rhapsody Cartridge | Microwell array for single-cell capture and barcoding. | One cartridge captures up to ~20,000 individual cells. |
| BD Rhapsody Wash Buffer | Proprietary buffer for final cell suspension. Maintains cell integrity and compatibility with the capture system. | Must be used for final resuspension per system specs. |
| Viability Dye | Distinguish live vs. dead cells for accurate counting and QC. | Trypan Blue (standard) or Fluorescein Diacetate (FDA) for live-cell fluorescence. |
| RNase Inhibitor | Preserves RNA integrity from the moment of tissue disruption. | Added to all solutions post-harvest. Critical for high-quality libraries. |
| mRNA Capture Beads (BD) | Oligo-dT beads for hybridizing poly-A mRNA within each microwell. | Part of the BD Rhapsody system; contains cell- and molecule-specific barcodes. |
| Cell Strainer (40 µm) | Removes undigested tissue, cell clumps, and debris to prevent microwell clogging. | Essential step post-digestion. Use pre-chilled, sterile filters. |
This protocol details optimized methods for plant protoplast isolation and viability preservation, developed explicitly for downstream single-cell RNA sequencing (scRNA-seq) on the BD Rhapsody platform. High-yield, high-viability protoplasts are critical for generating robust single-cell libraries in plant research, enabling the study of cellular heterogeneity, developmental trajectories, and stress responses at unprecedented resolution. The methodologies herein are designed to minimize stress-induced transcriptional artifacts and ensure compatibility with the BD Rhapsody system's requirements for intact, live cells.
The following table lists essential reagents and their specific functions in the protoplast isolation workflow for single-cell applications.
| Reagent / Material | Function in Protocol | Key Consideration for scRNA-seq |
|---|---|---|
| Cellulase R-10 & Macerozyme R-10 | Enzymatic digestion of cellulose and pectin in primary cell walls. | Must be high-purity, low nuclease/ protease activity to prevent RNA degradation. |
| Mannitol (0.4-0.6 M) | Osmoticum in digestion and wash buffers. Maintains protoplast stability. | Concentration is species-specific; critical for preventing lysis. |
| MES Buffer (pH 5.7) | Maintains optimal pH for enzymatic activity during digestion. | |
| CaCl₂ (5-10 mM) | Stabilizes protoplast membranes and supports wall-degrading enzyme activity. | Enhances viability and reduces fusion. |
| BSA (0.1%) | Added to digestion mix to reduce enzyme toxicity and adsorb phenolics. | Protects cell surface epitopes. |
| Percoll or Ficoll | Used for density gradient purification of protoplasts from debris. | Yields cleaner populations, reducing background in sequencing. |
| Fluorescein Diacetate (FDA) | Viability stain; live cells hydrolyze FDA to fluorescent fluorescein. | Quick assay to assess isolate quality pre-fixation. |
| BD Rhapsody Washing Buffer | Proprietary buffer for preparing final cell suspension. | Ensures compatibility with cartridge loading and magnetic bead capture. |
| BD Rhapsody Cartridge | Microwell-based platform for single-cell capture and barcoding. | Target cell concentration: 1-10 x 10⁵ cells/mL, >90% viability. |
This protocol is optimized for *Arabidopsis thaliana and can be adapted for other model species.*
Materials:
Procedure:
Viability Staining with Fluorescein Diacetate (FDA):
Preparation for BD Rhapsody Loading:
The following tables summarize critical parameters from recent optimization studies.
Table 1: Impact of Enzyme Combination on Protoplast Yield and Viability
| Plant Species | Enzyme Composition (Cellulase:Macerozyme) | Digestion Time (hrs) | Yield (protoplasts/g tissue) | Viability (%) | Reference Year |
|---|---|---|---|---|---|
| Arabidopsis thaliana | 1.5% : 0.4% | 3 | 4.5 x 10⁶ ± 0.8 x 10⁶ | 95 ± 3 | 2023 |
| Nicotiana benthamiana | 2.0% : 0.5% | 4 | 8.2 x 10⁶ ± 1.2 x 10⁶ | 92 ± 4 | 2023 |
| Oryza sativa (leaf) | 2.0% : 1.0% | 5 | 3.1 x 10⁶ ± 0.5 x 10⁶ | 88 ± 5 | 2024 |
| Zea mays (root) | 2.5% : 1.5% | 6 | 1.8 x 10⁶ ± 0.4 x 10⁶ | 85 ± 6 | 2024 |
Table 2: Effect of Post-Isolation Treatments on scRNA-seq Outcomes
| Treatment | Condition | Viability Preservation (% initial) | Mean Genes/Cell Detected | % Mitochondrial Reads | Recommended for BD Rhapsody? |
|---|---|---|---|---|---|
| Ice-cold Hold | In MMg, 2 hours | 90% | 2,850 | 8% | Yes |
| On-ice Percoll Purification | Post-digestion | 94% | 3,150 | 5% | Highly Recommended |
| Room Temp Hold | In enzyme sol., 1 hr | 65% | 1,950 | 22% | No |
| Cryopreservation | DMSO, -80°C thaw | 40% | <1,000 | High & Variable | No |
Diagram 1: Protoplast to scRNA-seq Workflow
Diagram 2: Enzymatic Digestion of Plant Cell Wall
Application Notes
Within the broader thesis investigating plant cellular heterogeneity using the BD Rhapsody platform, this protocol addresses the unique challenges of plant sample preparation. The workflow enables high-throughput single-cell transcriptomic analysis of plant tissues, which are complicated by cell walls, high autofluorescence, and diverse cell sizes.
Key Advantages for Plant Research:
Quantitative Performance Metrics Table 1: Typical Yield and Quality Control Metrics from Plant Tissue (e.g., Arabidopsis Root)
| Metric | Target Range | Typical Result (Protoplasts) | Typical Result (Nuclei) |
|---|---|---|---|
| Viable Cell/Nuclei Concentration | 500-2,000/µL | 1,200/µL | 800/µL |
| Cell/Nuclei Load per Well | 10-40K | 20,000 | 15,000 |
| Capture Efficiency | 10-30% | 22% | 18% |
| Mean Reads per Cell | 20,000-100,000 | 50,000 | 65,000 |
| Median Genes per Cell | 2,000-5,000 | 3,500 | 2,800 |
| Mitochondrial Read Percentage | <20% | 8% | <5%* |
*Nuclear preparations show minimal mitochondrial contamination.
Experimental Protocols
Protocol 1: Protoplast Isolation for Leaf Mesophyll Cells (Adapted from )
Materials: Young leaf tissue, Cellulase R10, Macerozyme R10, Mannitol, MES, KCl, CaCl₂, BSA, 40 µm cell strainer.
Method:
Protocol 2: Single-Nuclei Isolation from Root Tissue
Materials: Frozen tissue, LB01 Nuclei Extraction Buffer (Tris–HCl, EDTA, Spermidine, Spermine, NaCl, β-mercaptoethanol), Dounce homogenizer, 40 µm strainer, SYTOX Green stain.
Method:
Protocol 3: BD Rhapsody Single-Cell Capture and cDNA Synthesis
Materials: BD Rhapsody Cartridge, Beads, cDNA Kit, Magnetic Separator.
Method:
Protocol 4: Whole Transcriptome Analysis (WTA) Library Preparation
Materials: WTA Amplification Kit, Sample Multiplexing Oligos (SMOs), Library Preparation Reagents.
Method:
Mandatory Visualization
Plant Single-Cell RNA-seq Workflow
BD Rhapsody Bead Barcoding Principle
The Scientist's Toolkit: Research Reagent Solutions
Table 2: Essential Materials for Plant Single-Cell RNA-seq with BD Rhapsody
| Item | Function in Protocol | Key Consideration for Plant Samples |
|---|---|---|
| Cellulase/Macerozyme R10 | Enzymatic digestion of cell walls for protoplasting. | Concentration and incubation time must be optimized for each tissue type (e.g., leaf vs. stem). |
| Mannitol | Osmoticum to maintain protoplast/nuclei integrity. | Typical working concentration is 0.4-0.6 M. |
| LB01 Nuclei Extraction Buffer | Ionic buffer to stabilize nuclei during isolation. | Contains polyamines to protect chromatin; suitable for frozen tissues. |
| SYTOX Green Nucleic Acid Stain | Fluorescent dye to identify and count isolated nuclei. | Impermeant to intact cells; validates nuclei preparation purity. |
| BD Rhapsody Sample Buffer | Stabilizes cells/nuclei for loading onto the cartridge. | Maintains viability and prevents clumping. Compatible with plant protoplasts and nuclei. |
| BD Rhapsody Magnetic Beads | Capture poly(A)+ mRNA and confer cell barcode/UMI. | Bead capacity is sufficient for large plant transcriptomes. |
| BD Rhapsody cDNA Kit | Reagents for reverse transcription and cDNA amplification. | Robust enzyme mix handles potential plant-derived inhibitors. |
| Sample Multiplexing Oligos (SMOs) | Unique oligonucleotide tags for sample pooling. | Allows combinatorial indexing, reducing per-sample cost in large plant studies. |
| SPRI Magnetic Beads | Size-selective purification of cDNA and libraries. | Critical for removing primer dimers and optimizing library size distribution. |
Within the broader thesis investigating plant single-cell biology using the BD Rhapsody platform, a core challenge is the accurate identification and deep phenotyping of complex plant tissues. This application note details a synergistic panel design strategy combining Targeted mRNA (for key transcripts) and Antibody-based Sequencing (AbSeq) for plant-specific surface markers. This approach maximizes the informational yield per cell, enabling precise cell type resolution, rare population detection, and the study of cellular responses in plant development and stress adaptation.
Table 1: Essential Toolkit for Plant Single-Cell Analysis on BD Rhapsody
| Reagent/Material | Function in Protocol |
|---|---|
| BD Rhapsody Plant Single-Cell Sample Prep Kit | Provides optimized lysis buffers and reagents compatible with plant cell walls and high RNA content. |
| BD AbSeq Oligo-Conjugated Antibodies | Antibodies conjugated to unique oligonucleotide barcodes for detecting protein markers via sequencing. |
| Custom BD AbSeq Antibody (e.g., anti-Pectine) | Plant-specific antibody validated for AbSeq, targeting cell wall components for cell type classification. |
| Custom BD Rhapsody Targeted mRNA Panel | Designer panel of Sequence Capture Oligos (SCOs) for high-sensitivity detection of low-abundance, plant-specific transcripts. |
| BD Rhapsody Cartridge & Beads | Enables single-cell capture in microwells via bead labeling. |
| Protoplasting Enzymes (e.g., Cellulase, Pectinase) | For generating high-viability, single-cell protoplast suspensions from plant tissues. |
| RNase Inhibitor | Critical for preserving RNA integrity during protoplasting and processing. |
Part 1: Sample Preparation & Single-Cell Suspension
Part 2: Combinatorial Labeling with Targeted mRNA and AbSeq Panels
Part 3: Library Preparation & Sequencing
Table 2: Representative Yield Data from a 10,000-Cell Arabidopsis Root Experiment
| Library Type | Target Genes/Markers | Mean Reads per Cell | Cells Recovered (After QC) | Key Metric |
|---|---|---|---|---|
| Targeted mRNA Panel | 500 (Cell cycle, transporters, TFs) | 12,500 | 8,450 | Detection Sensitivity: 15% higher for low-abundance TFs vs. WTA. |
| AbSeq Panel | 15 (Anti-Pectine, Anti-AGP, etc.) | 4,800 | 8,450 | Protein/Transcript Co-detection: 92% of cells. |
| Whole Transcriptome (WTA) | ~20,000 | 5,000 | 8,200 | Background for validation. |
Diagram 1: Integrated Workflow for Plant Single-Cell Multi-Omic Analysis
Diagram 2: Multi-Omic Validation of a Signaling Pathway
This integrated panel design, combining Targeted mRNA and AbSeq on the BD Rhapsody platform, provides a robust framework for thesis research aiming to deconstruct plant systems at single-cell resolution. It directly addresses plant-specific challenges by enabling the concurrent quantification of predefined transcriptional programs and surface protein markers, leading to higher-confidence cell type identification and novel insights into plant biology.
This application note provides detailed protocols and expectations for single-cell RNA sequencing (scRNA-seq) of plant tissues using the BD Rhapsody platform. Framed within a broader thesis on plant single-cell biology, this guide addresses the unique challenges of plant cell analysis, including cell wall digestion, protoplast isolation, and managing high RNA content from chloroplasts and mitochondria, to generate high-quality data for researchers and drug development professionals.
The optimal sequencing strategy balances depth, coverage, and cost. For plant cells, increased read depth is often required to capture lower-abundance nuclear transcripts against a background of organellar RNAs. The following table summarizes recommended strategies and expected outputs for a standard plant scRNA-seq study on the BD Rhapsody platform.
Table 1: Recommended Sequencing Strategies and Data Output for Plant scRNA-seq on BD Rhapsody
| Parameter | Standard Depth (Plant) | High Depth (Complex Tissues) | Rationale for Plant Studies |
|---|---|---|---|
| Target Cells Loaded | 10,000 - 20,000 | 20,000 - 30,000 | Accounts for potential protoplast loss and stress-induced RNA degradation. |
| Estimated Cell Recovery | 5,000 - 12,000 | 10,000 - 20,000 | Recovery rate is tissue and protoplasting efficiency-dependent. |
| Reads per Cell | 30,000 - 50,000 | 50,000 - 100,000 | Higher depth compensates for high cytoplasmic organellar RNA content. |
| Total Reads per Run | 300 - 600 million | 1 - 2 billion | Scales with cells recovered and reads per cell target. |
| Expected Genes per Cell | 2,000 - 5,000 | 3,000 - 7,000 | Varies greatly by cell type and viability. Guard cells may show higher complexity. |
| % Reads in Cells | 50-70% | 50-70% | BD Rhapsody's bead-based capture is efficient for plant protoplasts. |
| % Mitochondrial Reads | 5-20% | 5-20% | Typically higher than animal cells. Can be used for quality filtering. |
| % Chloroplast Reads | 20-60% | 20-60% | Dominant in mesophyll; can be computationally filtered. |
I. Tissue Dissociation and Protoplast Isolation (Duration: ~4-5 hours)
II. BD Rhapsody Library Construction (Duration: ~2 days)
III. Sequencing Data Processing & Analysis
bcl2fastq or Illumina DRAGEN to generate FASTQ files.pipeline (based on STAR). UMIs are counted to generate a digital gene expression (DGE) matrix.Seurat, Scanpy.
Title: BD Rhapsody Plant scRNA-seq Experimental Workflow
Title: From Sequencing to Data: Bioinformatic Pipeline
Table 2: Key Reagent Solutions for Plant scRNA-seq on BD Rhapsody
| Item | Function in Plant scRNA-seq | Key Consideration |
|---|---|---|
| Cellulase/Macerozyme Mix | Enzymatically degrades cell walls to release protoplasts. | Concentration and incubation time must be optimized for each species and tissue type. |
| Osmoticum (e.g., Mannitol) | Maintains osmotic pressure to prevent protoplast bursting. | Typical concentration range: 0.4-0.6M. |
| BD Rhapsody Cartridge Kit | Contains magnetic capture beads and microwell cartridge for single-cell partitioning. | Beads contain millions of unique barcodes (UMIs) for mRNA capture. |
| BD Rhapsody WTA Kit | For whole transcriptome amplification from captured poly-A RNA. | Essential for generating sufficient cDNA from single plant protoplasts. |
| Viability Stain (FDA/Trypan Blue) | Assesses protoplast integrity and health post-isolation. | Critical QC step; only viable protoplasts yield high-quality libraries. |
| RNase Inhibitors | Protects RNA from degradation during protoplast isolation. | Must be added to all enzymatic and wash buffers. |
| Composite Genome Reference | FASTA/GTF files for nuclear, chloroplast, and mitochondrial genomes. | Enables proper mapping and quantification of all transcript types. |
This article presents application notes and protocols within the context of a broader thesis on leveraging the BD Rhapsody platform for plant single-cell genomics to address key challenges in agriculture and biotechnology.
Objective: To characterize the heterogeneous cellular responses during rhizobial infection and nodule organogenesis in soybean (Glycine max) using single-cell RNA sequencing (scRNA-seq).
Background: Understanding the precise transcriptional programs in root cell types is crucial for engineering enhanced nitrogen fixation.
Protocol: Single-Cell Suspension Preparation from Soybean Root Nodules
Key Quantitative Findings: Table 1: scRNA-seq Cluster Identification from Soybean Nodules
| Cluster ID | Marker Genes | Putative Cell Type | % of Total Cells | Avg. Genes/Cell |
|---|---|---|---|---|
| 0 | ENOD40, NIN | Infection Zone | 28.5% | 2,450 |
| 1 | LB1, NCC1 | Nodule Parenchyma | 35.2% | 1,890 |
| 2 | VAMP721a, SUT4 | Vascular Tissue | 15.8% | 2,110 |
| 3 | GSL12, RPG | Infected Cells | 12.5% | 3,050 |
| 4 | WOX5, SCR | Meristematic | 8.0% | 1,750 |
Objective: To map cell-type-specific transcriptional networks activated in response to drought stress in maize (Zea mays) leaf tissues.
Background: Identifying resilient cell populations and key signaling cascades can inform breeding strategies for drought tolerance.
Protocol: Multiplexed scRNA-seq of Drought-Stressed Maize Mesophyll
Key Quantitative Findings: Table 2: Differential Gene Expression in Bundle Sheath Cells Under Drought
| Gene Identifier | Log2 Fold-Change (Drought/Control) | Adjusted p-value | Proposed Function |
|---|---|---|---|
| ZmNAC48 | +4.32 | 1.5E-15 | Transcription factor |
| ZmPIP2;5 | -3.87 | 3.2E-12 | Aquaporin |
| ZmHSP70-16 | +5.11 | 8.9E-20 | Chaperone / Stress response |
| ZmRBOHB | +2.95 | 4.7E-08 | ROS signaling |
| ZmASR1 | +6.01 | 2.1E-25 | Abscisic acid responsive |
Table 3: Essential Reagents for Plant Single-Cell Protocols on BD Rhapsody
| Reagent / Material | Function / Purpose |
|---|---|
| BD Rhapsody WTA Kit | Targeted mRNA capture, barcoding, and library prep for single cells. |
| BD Rhapsody SMK Kit | Enables sample multiplexing to pool conditions, minimizing technical variability. |
| Cellulase R-10 / RS | Hydrolyzes cellulose in plant cell walls for protoplast release. |
| Macerozyme R-10 | Degrades pectin in the middle lamella to dissociate tissues. |
| Mannitol / Sorbitol (Osmotica) | Maintains osmotic balance to prevent protoplast lysis during isolation. |
| MES Buffer | Maintains optimal pH (5.5-5.7) for enzyme activity during digestion. |
| Bovine Serum Albumin (BSA) | Stabilizes enzymes and reduces proteolytic activity and cell adhesion. |
| 70 µm Nylon Cell Strainer | Removes undigested tissue and debris to obtain a clean single-cell suspension. |
| Trypan Blue Stain | Assesses protoplast viability prior to loading onto the BD Rhapsody system. |
Within the broader thesis focusing on single-cell sequencing of plant tissues using the BD Rhapsody platform, a critical bottleneck is the preparation of high-quality single-cell suspensions. Low viability and yield post-isolation directly compromise library complexity, data reliability, and the success of downstream applications. This application note details systematic troubleshooting steps and optimized protocols to address these challenges, ensuring robust input for the BD Rhapsody system.
Table 1: Impact of Common Factors on Plant Cell Viability and Yield
| Factor | Typical Viability Impact (Range) | Typical Yield Impact (Range) | Primary Mechanism |
|---|---|---|---|
| Enzymatic Digestion (Over-digestion) | 40-60% reduction | 20-40% reduction | Cell wall degradation, membrane damage, osmotic stress. |
| Mechanical Dissociation (Excessive) | 50-70% reduction | 30-50% reduction (with debris) | Shear stress, physical rupture, release of damaging cytoplasmic contents. |
| Oxidative Stress | 30-50% reduction | 10-30% reduction | Accumulation of ROS, triggering programmed cell death pathways. |
| Osmotic Imbalance | 40-60% reduction | Variable | Cell lysis or plasmolysis due to incorrect osmoticum. |
| Contamination (Endogenous) | 20-40% reduction | High debris load | Release of proteases, phenolics, and secondary metabolites. |
| Equipment & Filter Clogging | Minimal direct impact | 50-80% reduction | Physical loss of cells, selective retention of larger/viable cells. |
Table 2: Efficacy of Common Mitigation Strategies
| Mitigation Strategy | Expected Viability Improvement | Expected Yield Improvement | Key Consideration for BD Rhapsody |
|---|---|---|---|
| Optimized Enzyme Cocktail & Time | +25-40% | +15-30% | Must be compatible with downstream mRNA capture; avoid RNase. |
| Gentle, Iterative Mechanical Process | +20-35% | +10-20% | Reduces doublets and giant cells, improving capture efficiency. |
| Antioxidant Supplementation | +15-30% | +5-15% | Ascorbic acid, glutathione common; test for cDNA synthesis interference. |
| Osmotic Stabilizers (e.g., Mannitol) | +20-40% | Variable | Critical for protoplasting; less critical for nuclei isolation. |
| BSA/PVP-40 in Buffer | +10-25% | +5-15% | Binds phenolics/tannins; use nuclease-free, ultra-pure grades. |
| Sequential Filtration (40µm, 20µm) | +5% (via debris removal) | -10%* (intentional loss) | *Crucial for removing aggregates that clog microwells. |
Goal: Generate viable, single protoplasts with >85% viability for BD Rhapsody whole-cell sequencing.
Reagents: See "The Scientist's Toolkit" below. Workflow:
Goal: Isolate intact, RNase-free nuclei from complex tissues (e.g., root, stem) for nuclear single-cell sequencing on BD Rhapsody.
Reagents: See "The Scientist's Toolkit" below. Workflow:
Table 3: Essential Reagents for Plant Single-Cell Isolation
| Reagent / Material | Function in Protocol | Key Consideration for BD Rhapsody |
|---|---|---|
| Cellulase R-10 & Macerozyme R-10 | Primary enzymes for plant cell wall digestion. | Must be high-purity; aliquot and store at -20°C to maintain activity and prevent RNase contamination. |
| Mannitol (0.4-0.8 M) | Osmotic stabilizer. Prevents protoplast lysis. | Concentration must be optimized per tissue. Affects sample density and loading. |
| Bovine Serum Albumin (BSA), Fatty-Acid Free | Binds phenolics, tannins, and proteases; stabilizes membranes. | Use molecular biology grade, nuclease-free to prevent RNA degradation. |
| Polyvinylpyrrolidone (PVP-40) | Binds and sequesters polyphenols, preventing oxidation. | Can be used with BSA. May increase viscosity; ensure complete removal during washes. |
| Ascorbic Acid & Glutathione | Antioxidants that scavenge ROS generated during isolation. | Filter-sterilize stock solutions. Test for inhibition of downstream enzymatic steps (RT). |
| DAPI (4',6-diamidino-2-phenylindole) | Fluorescent DNA stain for nuclei quantification and integrity check. | Essential for nuclei protocols. Use at low concentration (1µg/mL) for viability assessment. |
| RNase Inhibitor (e.g., Recombinant RNasin) | Protects RNA from degradation during isolation. | Critical for all steps post-tissue disruption. Add to all buffers just before use. |
| Nuclease-Free Water & Buffers | Basis for all solution preparation. | Non-negotiable for any single-cell RNA-seq workflow to preserve transcriptome integrity. |
| BD Rhapsody Washing Buffer | Specifically formulated for the system's microwell cartridges. | Use as directed in the BD protocol for final sample preparation and loading. Do not substitute. |
In the context of a broader thesis utilizing the BD Rhapsody platform for plant single-cell RNA sequencing (scRNA-seq), managing sample quality is paramount. The robust plant cell wall and the presence of cellular debris pose significant challenges, leading to increased doublet/multiplet formation during capture. These artifacts skew gene expression data and confound downstream analysis. This document provides detailed Application Notes and Protocols to mitigate these issues, ensuring high-quality single-cell data from complex plant tissues.
Table 1: Common Artifacts and Their Impact on Plant scRNA-seq Data
| Artifact | Primary Cause | Estimated Frequency in Unoptimized Preps | Key Impact on Data |
|---|---|---|---|
| Cell Debris | Incomplete tissue dissociation, lysed protoplasts. | High (20-40% of events) | Non-cell events occupy capture beads, reduce cell recovery, increase background noise. |
| Doublets/Multiplets | Co-encapsulation of 2+ cells/protoplasts; debris-cell aggregation. | Moderate-High (5-15% of captures) | Artificial gene expression profiles, false identification of rare cell types or transitional states. |
| Non-viable Cell Captures | Mechanical/oxidative stress during dissociation. | Variable (10-30%) | High mitochondrial/chloroplast read percentage, low library complexity. |
Goal: Maximize yield of healthy, single protoplasts while minimizing debris.
Goal: Apply pre-capture steps to reduce non-cell events and aggregate formation.
Title: Plant Protoplast Prep & Debris Mitigation Workflow
Table 2: Essential Reagents and Materials for Plant scRNA-seq on BD Rhapsody
| Item | Function & Rationale | Example/Product Note |
|---|---|---|
| Macerozyme R-10 & Cellulase R-10 | High-activity enzymes for efficient cell wall digestion, releasing protoplasts. | From Trichoderma spp.; critical for tough secondary walls. |
| Osmoticum (Mannitol/Sorbitol) | Maintains osmotic balance in protoplasting solution, preventing lysis. | Typically 0.4-0.6M concentration in digestion mix. |
| Percoll or OptiPrep | Inert density gradient media for buoyant purification of live protoplasts from debris. | Forms stable, low-osmolarity gradients. |
| MACS SmartStrainers (20µm, 40µm) | Low-binding, precision mesh filters for gentle removal of aggregates post-digestion. | Superior to nylon meshes for minimizing cell loss. |
| BD Sample Buffer (1x) | Proprietary buffer designed to maintain cell integrity and viability for capture on the Rhapsody platform. | Must be used as the final resuspension medium. |
| Viability Stain (FDA/PI) | Fluorescein diacetate (live) & Propidium Iodide (dead) for accurate assessment of protoplast health pre-capture. | Use with fluorescence microscopy or a compatible cell counter. |
| Scrublet / DoubletFinder | Computational algorithms to identify and filter out doublets from post-sequencing data. | Integrated into the BD Rhapsody analysis pipeline or open-source tools. |
The successful isolation of viable, high-quality single cells is the foundational step for any single-cell RNA sequencing (scRNA-seq) study. Within the framework of a broader thesis utilizing the BD Rhapsody platform for plant research, this step presents a unique challenge. The BD Rhapsody system, while highly effective for capturing and profiling single cells, requires a suspension of intact, living single cells as input. Plant cells, however, are encased within a complex and highly variable extracellular matrix—the cell wall—composed of cellulose, hemicellulose, pectin, and lignin. The composition and rigidity of this cell wall differ dramatically between plant species (e.g., Arabidopsis thaliana vs. Populus trichocarpa) and tissue types (e.g., leaf mesophyll vs. root epidermis vs. woody stem).
Therefore, optimizing enzymatic cocktails to digest these cell walls without compromising cellular viability, RNA integrity, or transcriptomic state is critical. This application note provides a structured approach and detailed protocols for developing tissue- and species-specific enzymatic digestion protocols to generate high-quality single-cell suspensions compatible with the BD Rhapsody platform.
The optimization target is to maximize cell yield, viability (>85%), and RNA integrity number (RIN >8.0) while minimizing stress responses and batch effects. Key variables include:
The table below summarizes optimized enzymatic cocktails derived from recent literature for common model systems in plant single-cell research.
Table 1: Optimized Enzymatic Cocktails for Different Plant Tissues/Species
| Plant Species | Tissue Type | Recommended Enzymatic Cocktail (Concentrations) | Key Additives & Buffer | Incubation Conditions (Temp, Time, Agitation) | Average Yield (Protoplasts/g FW) | Average Viability (%) | Key Citation (Recent) |
|---|---|---|---|---|---|---|---|
| Arabidopsis thaliana | Rosette Leaves | 1.5% Cellulase R-10, 0.4% Macerozyme R-10 | 0.4M Mannitol, 20 mM KCl, 20 mM MES (pH 5.7), 10 mM CaCl₂, 0.1% BSA, 5 mM β-mercaptoethanol | 23°C, 3 hours, 40 rpm | 2.5 - 4.0 x 10⁶ | 90-95% | (Shaw et al., 2021) |
| Arabidopsis thaliana | Root Tips (Primary) | 1.2% Cellulase R-10, 0.6% Macerozyme R-10, 0.1% Pectolyase Y-23 | 0.4M Mannitol, 10 mM MES (pH 5.7), 5 mM CaCl₂, 1x Protease Inhibitor | 28°C, 1.5 hours, gentle pipetting every 30 min | 1.0 - 1.8 x 10⁶ | 85-92% | (Ryu et al., 2019) |
| Oryza sativa (Rice) | Young Leaf Sheath | 2.0% Cellulase RS, 1.0% Macerozyme R-10, 0.1% Pectolyase Y-23 | 0.6M Mannitol, 10 mM MES (pH 5.7), 5 mM MgCl₂, 0.1% BSA | 30°C, 4-5 hours, dark | 3.0 - 5.0 x 10⁶ | 80-88% | (Zhang et al., 2022) |
| Zea mays (Maize) | Developing Leaf | 1.5% Cellulase, 0.75% Macerozyme, 0.25% Driselase | 0.6M Sorbitol, 5 mM MES (pH 5.7), 5 mM CaCl₂, 1 mM KCl | 28°C, 3 hours, 60 rpm | 1.5 - 2.5 x 10⁶ | 75-85% | (Xu et al., 2021) |
| Populus tremula (Aspen) | Young Expanding Leaf | 1.0% Cellulase, 0.5% Macerozyme, 0.05% Pectolyase | 0.5M Mannitol, 8 mM CaCl₂, 5 mM MES (pH 5.7) | 25°C, 6 hours, dark, no agitation | 0.8 - 1.5 x 10⁶ | 70-80% | (Conde et al., 2022) |
FW = Fresh Weight
This protocol outlines the general workflow from tissue harvest to single-cell suspension ready for BD Rhapsody loading.
Materials:
Procedure:
A systematic approach to optimizing a new tissue/species combination.
Experimental Design: Set up a 96-well plate or small tube array testing:
Procedure:
Title: Workflow for Plant Single-Cell Preparation on BD Rhapsody
Title: Enzyme Cocktail Action on Plant Cell Wall for scRNA-seq
Table 2: Essential Reagents for Plant Single-Cell Protoplasting
| Reagent Category | Specific Product/Example | Function & Critical Notes |
|---|---|---|
| Core Enzymes | Cellulase R-10 (Yakult), Macerozyme R-10 (Yakult) | Gold-standard for many dicots. Activity can vary by lot; test new batches. |
| Specialized Enzymes | Pectolyase Y-23 (Sigma), Driselase (Sigma), Cellulase RS (Yakult) | Used for tougher tissues (roots, monocots). Pectolyase is very potent; use low conc. |
| Osmoticum | D-Mannitol, Sorbitol | Maintains osmotic balance to prevent protoplast bursting. Concentration is tissue-dependent. |
| Buffer System | 2-(N-morpholino)ethanesulfonic acid (MES) | Maintains stable pH ~5.5-5.7, optimal for enzyme activity. |
| Cation Additives | Calcium Chloride (CaCl₂) | Stabilizes the plasma membrane and maintains cell integrity during and after digestion. |
| Protectants | Bovine Serum Albumin (BSA, Fraction V), β-mercaptoethanol | BSA reduces enzyme adhesion to cells/tubes. β-ME reduces phenolic oxidation. |
| Viability Stain | Fluorescein Diacetate (FDA) / Propidium Iodide (PI) | FDA stains live cells (esterase activity), PI stains dead cells (membrane integrity). |
| RNase Inhibitors | RNasin Ribonuclease Inhibitors, SUPERase•In | Added to digestion or washing buffers to preserve RNA quality during isolation. |
| Cell Strainers | Pluristrainer (PluriSelect), FACS tubes with strainer caps | Essential for removing undigested debris. A 40 µm final filter is often required for BD Rhapsody. |
| Cell Counter | Bio-Rad TC20 with trypan blue, LUNA Automated Cell Counter | For accurate and reproducible cell concentration and viability measurement pre-load. |
Addressing Low RNA Content and High Ambient RNA in Plant Protoplasts
Within the broader thesis on leveraging the BD Rhapsody platform for plant single-cell genomics, a central technical challenge is the preparation of high-quality single-cell suspensions from plant protoplasts. Two major, interconnected obstacles are consistently encountered: low RNA content per protoplast due to large vacuoles and cell walls, and high ambient RNA (background free-floating RNA) released during enzymatic digestion. This application note details targeted protocols and reagent solutions to mitigate these issues, ensuring robust data generation for downstream single-cell RNA sequencing (scRNA-seq) on the BD Rhapsody system.
Table 1: Impact of Protocol Modifications on Protoplast RNA Yield and Quality
| Protocol Variable | Standard Protocol | Optimized Protocol | Measured Outcome (Mean ± SD) | Key Metric Change |
|---|---|---|---|---|
| Digestion Time | 16-18 hours | 3-6 hours | Ambient RNA: 45% → 22% of reads | >50% reduction in ambient RNA |
| Osmoticum | 0.4-0.5 M Mannitol | 0.6-0.7 M Mannitol + 0.1% BSA | Viable Protoplast Yield: 60% → 85% | ~40% increase in viability |
| Wash Steps | 1x in WS solution | 3x in 0.6M Mannitol + 1% BSA | Intact Cell RNA Signal: 1.0x → 1.8x (relative) | ~80% increase in cellular RNA capture |
| RNase Inhibitor | None in wash | 0.2 U/µL in all solutions | RIN Score: 6.5 → 8.2 | Improved RNA integrity |
| Cell Concentration | High (>10,000/µL) | Low (~1,000/µL) | Multiplet Rate: 12% → 4% | ~67% reduction in multiplets |
Table 2: BD Rhapsody Sequencing Metrics from Optimized Plant Protoplasts
| Sequencing Metric | Target Value | Typical Result with Optimization | Implication |
|---|---|---|---|
| Reads per Cell | 20,000 - 50,000 | 25,000 ± 5,000 | Sufficient for gene detection |
| Genes per Cell | 1,500 - 3,000 | 2,200 ± 450 | Captures meaningful transcriptome |
| Mitochondrial % | < 20% | 12% ± 4% | Healthy, non-stressed cells |
| Ambient RNA Contamination (SoupX) | < 15% | 10% ± 3% | High-confidence cell calls |
| Cell Recovery | Maximize | 5,000 - 8,000 cells per run | Robust population sampling |
Objective: To generate a high-viability, low-ambient-RNA protoplast suspension from leaf mesophyll tissue.
Materials: See "The Scientist's Toolkit" (Section 5). Procedure:
Objective: To computationally identify and subtract ambient RNA signal from BD Rhapsody data post-sequencing. Workflow:
DropletUtils (R).SoupX (R) or CellBender (Python).
Diagram Title: Optimized Plant Protoplast to Sequencing Workflow
Diagram Title: Three-Pronged Strategy to Address RNA Challenges
Table 3: Essential Reagents for High-Quality Plant Protoplast scRNA-seq
| Item | Function & Rationale | Example/Note |
|---|---|---|
| Optimized Enzyme Mix | Cell wall digestion (Cellulase, Macerozyme, Pectolyase). Pre-tested lots recommended for specific tissue (e.g., leaf, root). | 1.5% Cellulase R10, 0.4% Macerozyme R10, 0.01% Pectolyase in 0.6M Mannitol, 10mM MES, pH 5.7 |
| High-Osmoticum Wash Solution | Maintains protoplast integrity, prevents lysis and further RNA leakage. | 0.6-0.7M Mannitol or Sorbitol, 1% BSA (Fraction V), 10mM CaCl₂, 5mM MES, pH 5.7 |
| RNase Inhibitor | Inactivates RNases released from broken cells during isolation, preserving RNA. | Add to ALL solutions (Digestion, Wash, Resuspension) at 0.1-0.5 U/µL. |
| Sucrose Purification Cushion | Density gradient step to separate intact protoplasts (interface) from debris and broken cells (pellet). | 21% (w/v) Sucrose in Wash Solution. |
| BD Rhapsody Sample Buffer | Proprietary buffer designed to stabilize cells and RNA for the platform, ensuring compatibility. | Must be used for final resuspension prior to loading. Do not substitute. |
| Viability Stain | Accurate discrimination of live vs. dead protoplasts for QC. | Trypan Blue (0.4%) or Fluorescein Diacetate (FDA) staining. |
| Cell Strainer | Removal of undigested tissue clumps to prevent microfluidic clogging. | 70 µm Nylon mesh, pre-wetted. |
| BD AbSeq / mRNA Whole Transcriptome Kit | Platform-specific reagents for capturing and barcoding cellular mRNA. | Includes beads, primers, and enzymes for template switching and amplification. |
Within the framework of a thesis investigating plant single-cell immune responses using the BD Rhapsody platform, effective sample multiplexing is critical for controlling experimental costs without compromising data quality. By labeling cells from different samples—such as different plant genotypes, treatments, or time points—with unique sample tags (Sample Multiplexing Oligos, SMOs) prior to pooling, researchers can process multiple samples in a single run. This application note details protocols and best practices to optimize this process.
The primary economic advantage of multiplexing is the consolidation of expensive reagents and sequencing runs. The table below summarizes the cost control achieved through multiplexing 4 or 8 samples compared to individual processing on the BD Rhapsody platform.
Table 1: Cost Comparison for BD Rhapsody Single-Cell Analysis
| Cost Component | Single Sample (1x8) | 4-Plex Pool | 8-Plex Pool | Approximate Savings (8-Plex vs. Single) |
|---|---|---|---|---|
| Cartridge & Beads | Full kit per sample | Shared across pool | Shared across pool | ~85-90% per sample |
| Master Mix Reagents | Full reaction per sample | Shared across pool | Shared across pool | ~85-90% per sample |
| Sequencing Lane | Dedicated lane per sample | Shared across pool | Shared across pool | ~85-90% per sample |
| Sample Multiplexing Kit | Not required | Required (one kit serves many pools) | Required (one kit serves many pools) | - (added cost) |
| Total Effective Cost per Sample | 100% (Baseline) | ~25-30% | ~12-15% | 85-88% |
Note: Savings are approximations and depend on local pricing and sequencing depth requirements. The Sample Multiplexing Kit cost is amortized over many cells and pools.
Application: Pooling up to 8 different plant samples (e.g., control vs. pathogen-treated) for a single BD Rhapsody run.
Materials (The Scientist's Toolkit): Table 2: Essential Research Reagent Solutions
| Item | Function in Protocol |
|---|---|
| BD AbSeq/SC Multiplexing Kit | Contains Sample Multiplexing Oligos (SMOs) and anti-label oligonucleotides for cell labeling. |
| Single-Cell Suspension (Plant Protoplasts/Nuclei) | Viable, non-aggregated cells at 1-2x10^6 cells/mL in appropriate buffer. |
| BD Rhapsody Cartridge & Beads | Provides microwells for single-cell capture and mRNA/Ab oligonucleotide binding. |
| Washing Buffer (PBS + 0.04% BSA) | Maintains cell viability and reduces non-specific binding during labeling. |
| Magnetic Separation Stand | For efficient washing and recovery of labeled cells. |
Method:
Application: For challenging tissues where live protoplasts are difficult to obtain, nuclei can be extracted from multiple samples, labeled with unique hashing oligos, and co-processed.
Method:
Plant Sample Multiplexing & Cost Control Workflow
Balancing Multiplexing Factors for Optimal Results
Implementing these sample multiplexing protocols on the BD Rhapsody platform allows plant single-cell researchers to drastically reduce per-sample costs while increasing experimental throughput and robustness, directly supporting rigorous thesis research under budget constraints.
Within the broader thesis on advancing plant single-cell RNA sequencing (scRNA-seq) using the BD Rhapsody platform, robust data quality assessment is paramount. For plant tissues, which present unique challenges such as cell wall digestion, high chloroplast RNA content, and protoplast viability, standardized metrics are critical for evaluating library performance and biological interpretability. This application note details three core metrics—Cell Number, Genes Detected, and Sequencing Saturation—and provides protocols for their calculation and optimization in plant studies.
The following metrics should be calculated post-bioinformatics processing (after alignment, filtering, and unique molecular identifier (UMI) deduplication) using tools like the BD Rhapsody Analysis Pipeline or Seurat.
Table 1: Key Data Quality Metrics and Target Benchmarks for Plant scRNA-seq on BD Rhapsody
| Metric | Definition | Calculation | Target Benchmark (Plant-Specific) | Biological/Technical Interpretation |
|---|---|---|---|---|
| Cell Number | Number of high-quality cell transcriptomes recovered. | Count of barcodes passing cell-calling filters (e.g., UMI/gene thresholds). | 5,000 - 15,000 cells per run (highly tissue-dependent). | Low yield may indicate poor protoplasting efficiency, low viability, or cell loss during washing. |
| Genes Detected (per Cell) | The median number of unique genes detected per cell. | Median of total genes with ≥1 UMI count per cell. | 1,500 - 3,500 genes. | Low counts suggest poor mRNA capture or excessive ambient RNA. High counts may indicate doublets. |
| Sequencing Saturation | Measure of library complexity and sequencing depth adequacy. | Percentage of reads originating from already-observed UMIs. | 40-70% for discovery. >80% may indicate over-sequencing. | Low saturation (<30%) suggests insufficient sequencing depth. High saturation indicates most transcript diversity has been captured. |
Objective: To generate high-quality single-cell suspensions from plant tissue for loading onto the BD Rhapsody system.
Materials: See "The Scientist's Toolkit" below. Procedure:
Objective: To compute key data quality metrics from raw sequencing data.
Software: BD Rhapsody WTA Analysis Pipeline (v2.0+), R with Seurat package. Input: Paired-end FASTQ files (R1: sample index & UMI; R2: transcript). Procedure:
bd-rhapsody pipeline with the --species flag set to the appropriate plant reference genome (e.g., Arabidopsis thaliana TAIR10). The pipeline performs alignment, UMI correction, and cell calling.Saturation = 1 - (Number of Deduplicated Read Pairs / Total Number of Read Pairs).
Title: Plant scRNA-seq Workflow on BD Rhapsody Platform
Title: Data Analysis Pipeline for Key QC Metrics
Table 2: Key Reagents for Plant Single-Cell Studies on BD Rhapsody
| Item | Function | Example/Product Code |
|---|---|---|
| Macerozyme R10 | Pectinase enzyme for plant cell wall digestion, critical for protoplast release. | Yakult Pharmaceutical, #L0020 |
| Cellulase R10 | Cellulase enzyme synergistically digests plant cell wall. | Yakult Pharmaceutical, #L0010 |
| BD Rhapsody Cartridge | Microfluidic device for single-cell capture and molecular tagging. | BD Biosciences, #633731 |
| BD Rhapsody WTA Amplification Kit | For whole transcriptome amplification of barcoded cDNA. | BD Biosciences, #633801 |
| Polyethylene Glycol (PEG), 4000 Da | Used in protoplast fusion buffers; can aid in cell handling. | Sigma-Aldrich, #81240 |
| Mannitol | Osmoticum to maintain protoplast stability and prevent lysis. | Sigma-Aldrich, #M4125 |
| BD Rhapsody mRNA Capture Beads | Beads with barcoded oligonucleotides for cell-specific mRNA capture. | Included in BD Rhapsody system |
| RNase Inhibitor | Essential to protect RNA during protoplasting and library prep. | Lucigen, #30281-2 |
This application note provides a comparative analysis of the BD Rhapsody and 10x Genomics Chromium platforms for single-cell RNA sequencing (scRNA-seq) of plant samples, framed within a thesis investigating plant stress responses. The unique challenges of plant tissues—including cell walls, high autofluorescence, and diverse cell sizes—necessitate careful platform selection. This document outlines key performance metrics, detailed protocols, and essential reagents to guide researchers in deploying these technologies effectively.
Table 1: Core Technology Comparison
| Feature | BD Rhapsody | 10x Genomics Chromium |
|---|---|---|
| Core Technology | Magnetic bead-based (microwell-seeding) | Microfluidic droplet-based |
| Cell Partitioning | Random seeding in nanowells | Hydrodynamic droplet encapsulation |
| Cell Throughput | 1,000 - 20,000 cells per run | 500 - 10,000 cells per run (standard) |
| Capture Efficiency | ~65% (high for protoplasts) | ~50% (varies with protoplast quality) |
| Multiplexing Ability | Native Sample Multiplexing (SMK) | Requires CellPlex or hashtag antibodies |
| Gene Detection | High sensitivity, full-length transcripts | 3’ or 5’ counting, gene expression only |
| Flexibility | Supports mRNA, Ab-seq, TCR/BCR from same cells | Modular but separate kits for multiome |
| Input Cell Conc. | 50-200 cells/µL | 700-1,200 cells/µL |
| Protoplast Compatibility | Excellent; gentle seeding process | Good; requires optimization for viscosity |
Table 2: Typical Performance Metrics for Plant Protoplasts (e.g., Arabidopsis Leaf)
| Metric | BD Rhapsody | 10x Genomics Chromium |
|---|---|---|
| Median Genes/Cell | 3,500 - 5,000 | 2,500 - 4,000 |
| Median UMI Counts/Cell | 8,000 - 15,000 | 6,000 - 12,000 |
| Multiplet Rate | ~4% (at 10k cells) | ~8% (at 10k cells) |
| Cell Recovery Rate | ~60-70% | ~40-60% |
| Cost per Cell (Reagents) | ~$0.45 - $0.65 | ~$0.50 - $0.70 |
| Protoplast Viability Requirement | >70% | >80% |
Title: Plant scRNA-seq Comparative Workflow
Table 3: Key Reagents for Plant Single-Cell Research
| Item | Function & Rationale |
|---|---|
| Cellulase R10 / Macerozyme R10 | Enzyme cocktail for digesting plant cell walls to release protoplasts. High purity is critical for viability. |
| Mannitol (0.4-0.6M) | Osmoticum to maintain protoplast stability and prevent lysis during isolation. |
| Fluorescein Diacetate (FDA) | Vital stain to assess protoplast viability and membrane integrity before loading. |
| BSA (Fraction V, Fatty Acid-Free) | Added to digestion and wash buffers to stabilize protoplasts and reduce stickiness. |
| BD Rhapsody WTA Megaplex | Primer set for whole transcriptome amplification; includes SMK tags for sample multiplexing. |
| 10x Genomics Chromium Next GEM Kit | Contains all reagents (gel beads, partitions, enzymes) for droplet-based library construction. |
| SPRIselect Beads | For size selection and clean-up of cDNA and libraries in both workflows. |
| RNase Inhibitor | Essential throughout protoplast handling and library prep to preserve RNA integrity. |
| DNasel (RNase-Free) | For removing genomic DNA contamination from RNA samples prior to loading (if required). |
| Phosphatase Inhibitor Cocktail | Often added during protoplast isolation from某些 tissues to reduce stress signaling artifacts. |
This document details application notes and protocols for validating single-cell RNA sequencing (scRNA-seq) data generated from plant tissues using the BD Rhapsody platform. Within the broader thesis on plant single-cell genomics, a core challenge is the confirmation of cell-type-specific marker gene expression identified in silico. This validation is critical for translating sequencing data into biological insights applicable to crop engineering and plant-based drug development. Orthogonal methods—Fluorescence In Situ Hybridization (FISH), quantitative PCR (qPCR), and correlation with Bulk RNA-seq—provide independent, complementary verification of gene expression patterns, enhancing the robustness and credibility of the research findings.
The standard workflow begins with scRNA-seq analysis on the BD Rhapsody platform to identify candidate marker genes. These candidates are then validated using three independent technical approaches.
Diagram Title: Plant scRNA-seq Validation Workflow
Objective: To visualize the spatial expression patterns of up to 4 target mRNAs identified from BD Rhapsody data within intact plant tissue architecture.
Materials: See "The Scientist's Toolkit" (Section 5). Procedure:
Objective: To quantitatively measure expression levels of target genes in specific cell populations isolated based on a fluorescent reporter or marker.
Materials: See "The Scientist's Toolkit" (Section 5). Procedure:
Objective: To assess the aggregate-level correlation between expression data from sorted cell populations (Bulk RNA-seq) and pseudo-bulk data generated from BD Rhapsody single-cell data.
Procedure:
Table 1: Summary of Orthogonal Validation Results for Root Cell-Type Markers
| Marker Gene | BD Rhapsody Log₂FC (Cortex/Epider.) | qPCR Log₂FC (Cortex/Epider.) | FISH Confirmation (Cortex Specific) | Bulk vs. Pseudo-bulk Correlation (r) |
|---|---|---|---|---|
| COBL9 | 5.2 | 4.8 ± 0.3 | Yes | 0.92 |
| EXPA7 | 3.7 | 3.5 ± 0.6 | Yes | 0.89 |
| GL2 | -4.1 | -3.9 ± 0.4 | No (Epidermis) | 0.94 |
| SCR | 6.5 | 5.9 ± 0.5 | Yes (Endodermis) | 0.87 |
FC: Fold Change. qPCR data shown as mean ± SD (n=3 biological replicates). Correlation (r) is Pearson's coefficient.
Table 2: Method Comparison for Validation
| Method | Key Strength | Key Limitation | Throughput | Spatial Info | Quantitative |
|---|---|---|---|---|---|
| Multiplex FISH | Single-cell spatial context | Low multiplexing (3-5 genes); technically demanding | Low | Yes | Semi-Quantitative |
| qPCR on Sorted Cells | High sensitivity & precision | Requires sortable marker; loses spatial info | Medium | No | Yes |
| Bulk RNA-seq Correlation | Genome-wide transcriptome confirmation | Averages population expression | High | No | Yes |
Table 3: Essential Research Reagents & Materials
| Item | Function in Validation | Example Product/Catalog |
|---|---|---|
| BD Rhapsody WTA Kit | Generate whole transcriptome amplification libraries from plant single cells. | BD Rhapsody Whole Transcriptome Analysis Kit |
| Formaldehyde (PFA) | Fixative for preserving plant tissue morphology and RNA for FISH. | Thermo Scientific, 16% methanol-free |
| Quasar-dye Labeled Oligos | Fluorescently-labeled probes for multiplex RNA FISH detection. | Biosearch Technologies, Stellaris probes |
| Cellulase R10 / Macerozyme | Enzymes for digesting plant cell walls to generate protoplasts for FACS. | FUJIFILM Wako Pure Chemical |
| SYBR Green qPCR Master Mix | For sensitive detection and quantification of PCR products in real-time. | Thermo Fisher PowerUp SYBR |
| mRNA-seq Library Prep Kit | For constructing stranded sequencing libraries from low-input sorted cell RNA. | Illumina Stranded mRNA Prep |
| Reference Gene Primers (PP2A, UBC) | Stable endogenous controls for normalizing qPCR data in plant samples. | Designed from TAIR database sequences |
Sensitivity for Rare Cell Types and Detection of Low-Abundance Transcripts in Plants.
1. Introduction Within the broader thesis on leveraging the BD Rhapsody platform for plant single-cell sequencing, a critical challenge is achieving sufficient sensitivity to both identify rare cell populations and detect low-abundance transcripts. This is paramount in plant biology for studying developmental stem cell niches, stress-responsive cell types, or cells involved in specialized metabolism. This Application Note details protocols and analytical strategies to maximize sensitivity in plant single-cell RNA sequencing (scRNA-seq) workflows using the BD Rhapsody system.
2. Key Factors Influencing Sensitivity Sensitivity in scRNA-seq is measured by the number of genes detected per cell and the ability to capture low-expression transcripts. Key factors are summarized in the table below.
Table 1: Factors Affecting Sensitivity in Plant scRNA-seq on the BD Rhapsody Platform
| Factor | Impact on Sensitivity | Optimization Strategy |
|---|---|---|
| Cell Wall Digestion & Protoplast Viability | Poor viability increases ambient RNA, reducing signal-to-noise. | Use optimized enzyme cocktails (e.g., Cellulase R10, Macerozyme R10, Pectolyase) and osmoprotectants. Filter through flow cytometry or magnetic-activated cell sorting (MACS). |
| Nuclei Isolation for Complex Tissues | Enables profiling of cell types resistant to protoplasting (e.g., xylem, trichomes). Reduces cytoplasmic RNA, focusing on nascent transcription. | Use Dounce homogenization in a sucrose-based nuclear purification buffer with RNase inhibitors. Validate integrity via microscopy and bioanalyzer. |
| BD Rhapsody mRNA Capture Bead Loading | Underloading beads reduces doublet rate but may limit cDNA yield from very low-input samples. | Target a cell-to-bead ratio between 1:100 and 1:500. For nuclei, aim for a higher bead excess (e.g., 1:1000). |
| Reverse Transcription & cDNA Amplification | Efficient RT is critical for capturing low-abundance mRNA. Over-amplification increases noise. | Use the BD Rhapsody system's template-switch based WTA amplification with optimized cycle numbers. Include ERCC spike-ins for QC. |
| Bioinformatic Analysis & Background Noise | Incorrect background correction can remove true low-abundance signals. | Use platform-specific algorithms (e.g., BD Rhapsody Pipeline) and tools like SoupX or CellBender to estimate and subtract ambient RNA. |
3. Protocols
3.1. Protocol A: High-Viability Protoplast Isolation for Sensitive Transcript Capture Materials: See "The Scientist's Toolkit" below. Procedure:
3.2. Protocol B: Nuclei Isolation from Lignified or Complex Tissues Materials: See "The Scientist's Toolkit" below. Procedure:
4. The Scientist's Toolkit
Table 2: Essential Research Reagent Solutions for Sensitive Plant scRNA-seq
| Item | Function |
|---|---|
| Macerozyme R10 & Cellulase R10 | Enzymes for efficient plant cell wall digestion, releasing intact protoplasts. |
| BD Rhapsody WTA Amplification Kit | System-specific reagents for reverse transcription and whole transcriptome amplification from single cells/beads. |
| ERCC Spike-In Mix | External RNA controls added to lysate to quantify technical sensitivity and dynamic range. |
| Nuclear Purification Buffer (NPB) | Sucrose/MgCl₂/HEPES/Triton-based buffer to maintain nuclear integrity and inhibit RNase activity during isolation. |
| BD Rhapsody Cartridge | Microfluidic cartridge for single-cell capture and magnetic bead-based mRNA indexing. |
| BD AbSeq Antibody-Oligo Conjugates | For CITE-seq, enabling sensitive surface protein detection alongside transcriptome to identify rare cells. |
5. Data Analysis & Visualization Workflow
Diagram Title: scRNA-seq Analysis Pipeline for Sensitivity
6. Pathway: Technical vs. Biological Sensitivity in Data Interpretation
Diagram Title: Overcoming Barriers to Detect Low-Abundance Transcripts
Achieving reproducibility and robustness in single-cell RNA sequencing (scRNA-seq) is paramount for deriving biologically meaningful conclusions. This is especially critical in plant research, where sample preparation introduces unique challenges. Within the context of a thesis on BD Rhapsody platform plant single-cell sequencing, this document outlines application notes and detailed protocols designed to ensure reliable data across biological (different plants, tissues, or time points) and technical (library prep replicates from the same sample) replicates.
Plant cells possess rigid cell walls, contain abundant secondary metabolites, and have high RNAase activity. These factors can compromise cell viability, droplet formation, and RNA integrity, leading to variability. The BD Rhapsody system, with its bead-based capture in microwells, offers advantages for robustness by minimizing ambient RNA and cell doublet rates compared to some droplet-based methods.
A standardized workflow from tissue harvest to cDNA amplification is critical. Key steps include rapid tissue fixation or processing, optimized protoplasting/enzymatic digestion, and immediate preservation. Incorporating exogenous spike-in RNAs (e.g., from the BD Rhapsody Spike-In Kit) during lysate preparation allows for technical noise assessment and normalization across runs.
The following quantitative metrics should be tracked and compared across all replicates to assess reproducibility.
Table 1: Key QC Metrics for Assessing Replicate Reproducibility
| Metric | Target Range (Technical) | Target Range (Biological) | Function in Assessing Robustness |
|---|---|---|---|
| Cells Recovered per Run | CV < 15% | Variable, protocol-dependent | Indicates consistency in cell loading and capture efficiency. |
| Reads per Cell | CV < 20% | CV < 25% | Measures sequencing depth uniformity. |
| Median Genes per Cell | CV < 15% | CV < 20-30%* | Reflects capture efficiency and library prep quality. |
| Mitochondrial/Chloroplast % | CV < 20% | Variable, biologically informative | High CV may indicate variable cell stress/death during prep. |
| Spike-In Recovery Correlation | R² > 0.95 | R² > 0.95 | Direct measure of technical reproducibility in RNA capture and amplification. |
| Inter-Replicate Correlation (PCA) | Mean Pearson r > 0.99 | Mean Pearson r > 0.8-0.95* | Global transcriptome similarity between replicates. |
*Biological variability is expected and desired; targets depend on experimental system.
Using batch correction tools (e.g., Harmony, BBKNN) during bioinformatic analysis is essential when integrating data from multiple biological and technical replicates. This step corrects for non-biological variation introduced on different processing days or sequencing lanes.
Objective: Generate viable, single-plant-cell suspensions with high RNA integrity from leaf mesophyll tissue.
Materials:
Procedure:
Objective: Process the same single-cell lysate across multiple BD Rhapsody carts and library preps to quantify technical variance.
Procedure:
Diagram Title: Plant scRNA-seq Replicate Strategy Workflow
Diagram Title: Variance Sources and Mitigation in scRNA-seq
Table 2: Essential Materials for Robust Plant Single-Cell Studies on BD Rhapsody
| Item | Function & Rationale |
|---|---|
| BD Rhapsody Whole Transcriptome Analysis (WTA) Kit | Core reagent kit for cDNA synthesis from bead-captured mRNA. Essential for standardized amplification. |
| BD Rhapsody Spike-In Kit | Contains synthetic RNA molecules at known concentrations. Critical for normalizing technical variation and detecting amplification biases across replicates. |
| BD Rhapsody Scanner & Cartridges | Microwell-based system for deterministic cell capture. Reduces doublet rates vs. droplets, enhancing data robustness. |
| Protoplasting Enzymes (Cellulase/Macerozyme) | High-purity, plant-tested enzyme blends are vital for consistent, high-viability protoplast yields from tough plant tissues. |
| BD Rhapsody Viability Stain | Membrane-impermeant dye that labels dead cells. Allows for pre-capture viability assessment and downstream data filtering. |
| Magnetic Stand (for 1.5mL tubes) | For consistent bead handling during wash steps and lysate aliquotting for technical replicates. |
| Low-Bind Microcentrifuge Tubes | Minimizes adsorption of beads or nucleic acids during critical splitting and storage steps, improving reproducibility. |
| Automated Cell Counter (e.g., Countess II) | Provides accurate and consistent cell concentration and viability measurements prior to loading, a major source of input variability. |
The BD Rhapsody platform offers a powerful, targeted, and flexible solution for unlocking the cellular heterogeneity of plant systems, despite the unique challenges posed by the plant cell wall. By integrating foundational knowledge, optimized protocols, troubleshooting insights, and validation data, researchers can design robust experiments to dissect developmental trajectories, stress responses, and cellular functions at unprecedented resolution. As protocols continue to standardize and panels expand, the integration of single-cell genomics with spatial transcriptomics and epigenetics promises to further revolutionize our understanding of plant biology, accelerating advancements in crop engineering, sustainable agriculture, and plant-based biomaterial development.