This comprehensive guide explores the BD Rhapsody platform for T-cell receptor (TCR) analysis using full-length sequencing.
This comprehensive guide explores the BD Rhapsody platform for T-cell receptor (TCR) analysis using full-length sequencing. Designed for immunology researchers and drug developers, it covers foundational principles, step-by-step workflow protocols, advanced troubleshooting strategies, and comparative validation against other NGS methods. The article provides actionable insights for implementing robust, high-resolution TCR repertoire profiling to advance therapeutic discovery and biomarker identification in oncology, autoimmunity, and infectious disease.
The T-cell receptor (TCR) is a heterodimeric protein complex, primarily composed of α and β chains (or γ and δ in a minority of T cells), expressed on the surface of T lymphocytes. It is responsible for recognizing peptide antigens presented by Major Histocompatibility Complex (MHC) molecules. The immense diversity of the TCR repertoire, crucial for adaptive immunity, is generated by the somatic recombination of Variable (V), Diversity (D, for β and δ chains), and Joining (J) gene segments during T-cell development in the thymus—a process known as V(D)J recombination. This combinatorial diversity, coupled with nucleotide additions and deletions at the junctions, enables the recognition of a vast universe of potential antigens.
Traditional TCR sequencing methods often target only the CDR3 region, the hypervariable region primarily responsible for antigen contact. While informative for clonotype tracking, this approach fails to capture the complete V(D)J rearrangement and critical somatic hypermutation events in the variable regions. Full-length V(D)J sequencing is essential for:
The following table summarizes comparative data highlighting the advantages of full-length V(D)J sequencing over partial (CDR3-only) methods.
Table 1: Comparison of TCR Sequencing Approaches
| Metric | Partial (CDR3-Only) Sequencing | Full-Length V(D)J Sequencing | Implication |
|---|---|---|---|
| Genes Identified | Inferred V/J | Directly called full-length V and J genes | Eliminates misassignment; enables correct lineage tracking. |
| Paired Chain Recovery | Rare or statistically paired | Direct, physical pairing of α and β chains from single cells | Enables functional validation and therapeutic development. |
| Mutation Analysis | Not possible | Enables detection of somatic hypermutations in V regions | Reveals antigen-driven selection and affinity maturation. |
| Clonotype Accuracy | Moderate; prone to convergent CDR3 collisions | High; unique identifier includes full V-J combination | Accurate measurement of clonal diversity and expansion. |
| Therapeutic Utility | Limited for TCR cloning | Essential for recombinant TCR and neoantigen discovery | Foundation for personalized TCR-based therapies (e.g., TCR-T cells). |
Recent studies (e.g., Liu et al., 2023, Front. Immunol.) indicate that full-length sequencing increases correct clonotype resolution by >30% compared to CDR3-based inference in complex repertoires.
This protocol outlines a complete workflow for single-cell TCR profiling using the BD Rhapsody system, optimized for full-length V(D)J capture.
A. Sample Preparation and Single-Cell Partitioning
B. cDNA Synthesis and TCR Target Enrichment
C. Library Preparation and Sequencing
TCR Signaling Pathway
Single-Cell Full-Length TCR Seq Workflow
Table 2: Essential Materials for BD Rhapsody TCR Analysis
| Item | Function | Example/Product |
|---|---|---|
| BD Rhapsody TCR/BCR WT Amplification Kit | Provides beads, buffers, and primers for targeted TCR mRNA capture and amplification from single cells. | BD Cat. No. 633775 |
| BD Rhapsody WT Analysis Kit | Contains reagents for converting amplified cDNA into sequencing-ready libraries. | BD Cat. No. 633801 |
| Species-Specific TCR Primer Panels | Multiplex primer sets designed to target all V gene segments for full-length TCRα/β amplification. | BD Human TCR AbSeq Primer Pool |
| Magnetic Separator | For bead washing and purification steps throughout the protocol. | 96-well format magnetic stand |
| High-Fidelity PCR Master Mix | Used in the nested PCR step to ensure accurate amplification of TCR sequences with minimal errors. | Various suppliers (e.g., NEB, Thermo) |
| Dual-Indexed Sequencing Adapters | For multiplexed sequencing of libraries from multiple samples on a single flow cell. | Included in BD Rhapsody WT Analysis Kit |
| Bioinformatic Pipeline | Software for demultiplexing, UMI correction, V(D)J alignment, clonotyping, and paired-chain analysis. | BD Rhapsody Analysis Pipeline, VDJPipe |
This application note details the BD Rhapsody system's integrated workflow for high-throughput single-cell RNA sequencing (scRNA-seq) with targeted, full-length T-cell receptor (TCR) profiling. Framed within a broader thesis on advancing immune repertoire analysis, this document provides researchers with the protocols and data insights necessary to decode paired TCR α/β chains and their corresponding transcriptional phenotypes from thousands of single cells simultaneously. This enables precise dissection of clonally expanded T cells in oncology, infectious disease, and immunotherapy research.
The BD Rhapsody system combines single-cell capture with a targeted, multiplexed PCR approach to overcome the limitations of bulk sequencing and 5'-biased scRNA-seq methods for TCR analysis. By preserving full-length V(D)J transcripts, it allows for the accurate pairing of TCRα and TCRβ chains within individual T cells and links this information to the cell's full transcriptome. This capability is critical for understanding the functional state of antigen-specific T-cell clones in complex biological samples.
| Reagent / Material | Function in TCR Profiling |
|---|---|
| BD Rhapsody Single-Cell Capture Cartridge | Hydrodynamically isolates thousands of single cells into nanoscale wells with magnetic beads. |
| BD Rhapsody cDNA Synthesis Kit | Generates cDNA from poly-A RNA, incorporating a Unique Molecular Identifier (UMI) and Cell Label at the single-cell level. |
| BD Rhapsody TCR/BCR Amplification Panel | A targeted multiplex PCR panel with primers spanning the full-length variable regions of TCRα, TCRβ, TCRγ, and TCRδ chains. |
| BD AbSeq Antibody-Oligo Conjugates | Allows for simultaneous surface protein expression analysis via oligo-tagged antibodies, integrated into the cDNA library. |
| BD Rhapsody WTA Amplification Kit | For whole transcriptome analysis (WTA) from the same single-cell cDNA, enabling phenotype-transcriptotype pairing. |
| Magnetic Beads (oligo-dT primed) | Beads contain cell label, UMI, and capture sequence for mRNA; foundation for all downstream libraries. |
Diagram Title: BD Rhapsody Single-Cell TCR Profiling Workflow
Goal: To generate cDNA from single cells where each transcript is tagged with a cell-specific label and a unique molecular identifier (UMI).
Goal: To specifically enrich full-length TCR V(D)J transcripts from the single-cell cDNA and prepare sequencing libraries.
Diagram Title: TCR Analysis Pipeline from Sequencing to Clonotypes
The following table summarizes typical performance metrics from the BD Rhapsody system for TCR profiling, based on published applications and technical notes.
Table 1: Performance Metrics for BD Rhapsody Single-Cell TCR Profiling
| Metric | Typical Output | Significance for Research |
|---|---|---|
| Cells Recovered | 5,000 - 20,000 cells per run | Enables detection of both dominant and rare clonotypes. |
| Cell Multiplexing Capacity | Up to ~200,000 unique cell labels | Minimizes index hopping and cell label collision. |
| TCR Paired Chain Recovery Rate | >70% of T cells with paired α/β chains | Critical for accurate clonotype tracking and specificity inference. |
| Sequencing Depth for TCR | 2,000 - 10,000 reads/cell | Sufficient for robust V(D)J assembly and clonotype calling. |
| Full-Length Coverage | V(D)J + Constant region | Enables isotype analysis and accurate V/J gene assignment. |
| Integration with WTA | Transcriptome data from same cell | Links clonotype to functional state (e.g., exhaustion, activation). |
| Sensitivity for Rare Clones | Detection of clones at <0.1% frequency | Essential for minimal residual disease or neoantigen response studies. |
This integrated single-cell approach directly supports:
The BD Rhapsody system provides a streamlined, high-throughput pipeline for correlating full-length, paired TCR sequence information with whole transcriptome data at single-cell resolution. This Application Note outlines the protocols and expected outcomes, providing a foundation for the thesis that this integrated technological approach is essential for a mechanistic understanding of T-cell immunity in health, disease, and therapeutic intervention.
Within the BD Rhapsody TCR analysis pipeline, full-length sequencing research is fundamentally enhanced by three synergistic advantages. These core capabilities enable researchers to move beyond bulk, low-resolution analyses to gain a comprehensive, single-cell view of the adaptive immune repertoire within its native functional landscape.
Paired Alpha-Beta Chain Recovery: The stochastic barcoding technology of the BD Rhapsody platform ensures that mRNA from a single cell is labeled with a unique cell label. This allows for the definitive pairing of TRAC and TRBC transcripts originating from the same T cell. This pairing is non-inferential and critical for understanding the true antigen-binding clonotype, as the antigen specificity is determined by the combined αβ heterodimer. Mispaired chains from bulk sequencing can lead to erroneous clonal assignment and functional prediction.
High Throughput: The platform utilizes microwell-based single-cell partitioning with magnetic beads coated with millions of unique molecular identifier (UMI) barcodes. This design enables the parallel processing of thousands of cells per run (typically 1,000 - 10,000 cells for targeted immune profiling). The incorporation of sample multiplexing tags further increases experimental throughput and reduces batch effects by allowing multiple donor samples to be processed in a single run.
Cellular Context: The BD Rhapsody Targeted mRNA panels for immune profiling (e.g., the Immune Response Panel) allow for the simultaneous quantification of TCR sequences alongside a curated set of hundreds of genes related to cell phenotype, function, and state. This multi-modal analysis links clonotype identity with critical biological data, such as activation status (IFNG, TNF), exhaustion markers (PDCD1, HAVCR2), lineage signatures (FOXP3, TBX21), and proliferation (MKI67). This context is essential for identifying therapeutically relevant clones, such as tumor-reactive T cells within a tumor microenvironment.
Table 1: Comparison of TCR Sequencing Methodologies
| Parameter | Bulk TCR Sequencing | Conventional Single-Cell RNA-seq | BD Rhapsody Targeted TCR/Transcriptome |
|---|---|---|---|
| Chain Pairing | Inferred (computational) | Yes, but often limited depth | Definitive (physical) |
| Throughput (Cells/Run) | N/A (bulk tissue) | 500 - 5,000 | 1,000 - 10,000+ (targeted) |
| Transcripts per Cell | N/A | 1,000 - 10,000+ | Focused on panel (e.g., ~400 genes + TCR) |
| Key Output | Repertoire diversity, clonal frequency | Paired TCR + full transcriptome | Paired TCR + phenotypically rich targeted transcriptome |
| Primary Advantage | Deep clonal census | Unbiased discovery | High-throughput, focused phenotyping with paired TCR |
Table 2: Example Experimental Output from a Tumor Infiltrating Lymphocyte (TIL) Study
| Analysis Dimension | Measured Metric | Typical Result Range | Interpretation |
|---|---|---|---|
| Clonality | Top 10 Clones as % of Total T Cells | 5% - 50% | High value indicates oligoclonal expansion. |
| Paired Recovery | % of T Cells with Productive αβ Pair | 70% - 90%+ | Efficiency of the wet-lab and bioinformatics pipeline. |
| Cellular Context | % of a Dominant Clone Expressing PDCD1 (PD-1) | 0% - 80%+ | Identifies exhausted, potentially tumor-reactive clones. |
Objective: To prepare a high-viability single-cell suspension from tissue (e.g., tumor, lymph node) or PBMCs and load it onto the BD Rhapsody system for targeted mRNA capture.
Materials: BD Rhapsody Cartridge & Beads, BD Rhapsody Buffer MB, viability dye (e.g., BD ViaStain AOPI), pre-coated anti-CD3 beads for T-cell enrichment (optional), cell strainer (40µm).
Procedure:
Objective: To generate sequencing libraries encompassing both the targeted immune gene panel and full-length, paired TCR sequences.
Materials: BD Rhapsody cDNA Kit, BD Rhapsody TCR/BCR Amplification Kit, BD Rhapsody WTA Extension Kit (for full-length extension), library preparation kit (e.g., Illumina).
Procedure:
Objective: To process raw sequencing data into annotated, paired TCR clonotypes linked to single-cell gene expression profiles.
Materials: BD Rhapsody Analysis Pipeline (Seven Bridges or local WDL), TCR reference databases (IMGT), standard bioinformatics tools (FastQC, STAR).
Procedure:
Table 3: Essential Research Reagent Solutions for BD Rhapsody TCR Studies
| Item | Function | Key Feature for TCR Analysis |
|---|---|---|
| BD Rhapsody Immune Response Panel | Targeted primer set for mRNA capture. | Simultaneously profiles ~400 immune genes and TCR/BCR transcripts, providing cellular context. |
| BD Rhapsody TCR/BCR Amplification Kit | Amplifies recombined V(D)J regions. | Contains optimized primers for full-length human TRA and TRB amplification from single-cell cDNA. |
| BD Rhapsody WTA Extension Kit | Extends cDNA fragments via template switching. | Critical for obtaining complete 5' V-region sequence of TCRs, enabling accurate V/J gene calling. |
| BD Rhapsody Cartridge & Beads | Microwell array with barcoded magnetic beads. | Enables high-throughput single-cell capture with unique cell/UMI barcodes for definitive chain pairing. |
| Anti-CD3 Magnetic Beads | Negative or positive selection of T cells. | Improves T-cell recovery and sequencing efficiency from complex samples with low T-cell frequency. |
| Single-Cell Viability Stain (AOPI) | Distinguishes live from dead cells. | Ensures high-quality input by allowing viability assessment and sorting/dead cell exclusion. |
| IMGT Database | Curated reference of immunoglobulin and TCR genes. | Essential bioinformatics reference for accurate annotation of V, D, J, and C gene segments. |
The BD Rhapsody platform, coupled with full-length single-cell TCR sequencing, enables high-resolution mapping of adaptive immune responses. This analysis pipeline is critical for three primary research domains:
Table 1: Key Quantitative Metrics from TCR-seq Studies
| Application Area | Primary Metric | Typical Range/Value (from Recent Studies) | Significance |
|---|---|---|---|
| Cancer Immunotherapy | Tumor-reactive TCR Clonality (Shannon Entropy) | 0.5 - 3.5 (Low entropy indicates oligoclonal expansion) | Predicts response to immunotherapy; high clonality often correlates with better response. |
| Cancer Immunotherapy | Peripheral Blood TCR Overlap with Tumor (Morisita-Horn Index) | 0.01 - 0.4 | Measures systemic dissemination of tumor-specific clones; increase post-treatment may indicate efficacy. |
| Autoimmune Disease | Expanded Clonotype Frequency in Lesion | Can be >10% of total T-cells | Identifies pathogenic, antigen-enriched clones driving tissue damage. |
| Autoimmune Disease | TCRβ CDR3 Shared Sequence ("Public TCRs") | Identified in 5-30% of patients within a cohort | Suggests common antigen triggers; potential diagnostic/drug targets. |
| Vaccine Development | Vaccine-specific Clonal Expansion Fold-Change | 10x - 1000x increase post-vaccination | Quantifies magnitude of antigen-specific T-cell response. |
| Vaccine Development | Diversity of Vaccine-induced Repertoire (Unique Clones) | 50 - 500+ antigen-specific clones per epitope | Breadth is associated with robust and durable protection against viral variants. |
Protocol 1: BD Rhapsody Single-Cell TCR Sequencing Workflow for Tumor Infiltrating Lymphocytes (TILs) Objective: To generate paired, full-length TCRα/β sequences and transcriptomic data from single T cells isolated from a tumor microenvironment to identify tumor-reactive clones.
Protocol 2: Identification of Antigen-Specific TCRs via Tetramer Sorting & Single-Cell Sequencing Objective: To isolate and sequence TCRs from T cells specific for a known antigen (e.g., vaccine epitope, autoantigen).
Protocol 3: Longitudinal Tracking of Therapeutic TCR-T Clones In Vivo Objective: To monitor the persistence and clonal dynamics of adoptively transferred TCR-engineered T cells in patients.
| Reagent/Material | Function in TCR Analysis |
|---|---|
| BD Rhapsody Single-Cell TCR/BCR Analysis Kit | Provides all primers and enzymes for targeted amplification of full-length TCR transcripts from single cells on the BD Rhapsody platform. |
| MHC Multimers (Tetramers/ Pentamers) | Fluorochrome-labeled peptide-MHC complexes used to stain and isolate antigen-specific T cells via flow cytometry prior to sequencing. |
| GentleMACS Tissue Dissociation System | Standardized mechanical and enzymatic dissociation for obtaining high-viability single-cell suspensions from solid tumors or inflamed tissues. |
| Magnetic Cell Separation (MACS) Kits (e.g., CD45+, CD3+) | Rapid positive or negative selection of lymphocyte populations to enrich target cells prior to loading on the BD Rhapsody. |
| Viability Dyes (e.g., Zombie Dye, 7-AAD) | Critical for excluding dead cells during sorting or sequencing sample prep, as dead cells contribute high background noise. |
| BIOMED-2 Multiplex PCR Primers | Standardized primer sets for comprehensive amplification of TCR gene rearrangements from genomic DNA for repertoire analysis. |
| IMGT/V-QUEST Database | The international reference for TCR gene annotation, used for assigning V, D, J, and C regions in sequence analysis. |
| ClonoSEQ Assay | An FDA-cleared, NGS-based assay for ultra-sensitive detection and tracking of specific TCR (or BCR) sequences in patient samples. |
This application note provides detailed protocols and guidelines for sample preparation within the broader thesis research on the BD Rhapsody TCR Analysis Pipeline with Full-Length Sequencing. The reproducibility and success of single-cell immune repertoire profiling are fundamentally dependent on optimal experimental design at the pre-analytical stage. This document addresses the critical variables of sample type selection, cell viability assessment, and input cell number titration to ensure high-quality data for downstream analysis in drug development and immunology research.
The choice of sample type dictates the isolation protocol, expected cell yield, and potential challenges. The following sample types are commonly analyzed:
Table 1: Characteristics and Considerations for Common Sample Types
| Sample Type | Expected T-cell Frequency | Key Processing Step | Primary Challenge | Recommended Viability Threshold |
|---|---|---|---|---|
| Fresh PBMCs | 20-50% | Ficoll-Paque centrifugation | Platelet contamination | >90% |
| Cryopreserved PBMCs | 15-40% | Rapid thaw & DNase treatment | Apoptosis post-thaw | >80% |
| Fresh Tumor Dissociate | 1-30% (TILs) | Enzymatic Digestion (e.g., Tumor Dissociation Kit) | Low viability, high debris | >70% |
| Cryopreserved Tumor | 1-30% (TILs) | Rapid thaw & debris removal | Significant cell loss | >65% |
| Bone Marrow | 5-15% | RBC Lysis / Density Gradient | High erythrocyte/my eloid content | >85% |
| Spleen/Lymph Node | 40-70% | Mechanical Dissociation | Clumping, fibroblast contamination | >85% |
Low cell viability leads to background noise from ambient RNA, reduced capture efficiency, and biased data. Viability is assessed using dye exclusion (e.g., Trypan Blue) or fluorescent dyes (e.g., 7-AAD, DAPI, Propidium Iodide) compatible with the BD Rhapsody system.
Protocol: Viability Assessment with 7-AAD via Flow Cytometry
The target cell recovery for a standard BD Rhapsody Single-Cell Analysis run is 2,000-10,000 cells. Input recommendations must account for capture efficiency, which is influenced by viability and sample type.
Table 2: Recommended Input Cell Numbers for BD Rhapsody TCR/RNA Assay
| Desired Cell Recovery | Recommended Viable Cell Input | Notes & Adjustment Factors |
|---|---|---|
| 2,000 cells | 4,000 - 6,000 cells | For precious samples. Lower diversity. |
| 5,000 cells | 10,000 - 15,000 cells | Standard recommendation for most studies. |
| 10,000 cells | 20,000 - 30,000 cells | For highly heterogeneous samples. |
| Adjustment Formula: | Viable Cell Input = (Desired Recovery) / (Expected Capture Efficiency) |
Factors Affecting Capture Efficiency:
Protocol: Calculating and Preparing the Input Cell Suspension
Table 3: Key Research Reagent Solutions for Sample Preparation
| Item | Function | Example (Non-exhaustive) |
|---|---|---|
| Density Gradient Medium | Isolates mononuclear cells based on buoyancy. | Ficoll-Paque Plus, Lymphoprep |
| RBC Lysis Buffer | Lyses red blood cells in whole blood or tissues. | Ammonium-Chloride-Potassium (ACK) buffer |
| Tissue Dissociation Kit | Enzymatically dissociates solid tissues into single-cell suspensions. | Miltenyi Biotec Tumor Dissociation Kit, gentleMACS Dissociator |
| Viability Dye | Distinguishes live/dead cells for assessment or sorting. | 7-AAD, DAPI, Propidium Iodide, BD ViaStain AOPI |
| Cell Preservation Medium | Cryopreserves cells with minimal loss of viability/function. | CryoStor CS10, FBS with 10% DMSO |
| DNase I | Degrades extracellular DNA from lysed cells to reduce clumping. | Recombinant DNase I (e.g., Roche) |
| BSA/PBS Wash Buffer | Washes and resuspends cells; reduces nonspecific adhesion. | PBS + 0.04% BSA or 2% FBS |
| BD Rhapsody Sample Buffer | Proprietary buffer for final cell suspension prior to loading. | BD Rhapsody Cartridge and Sample Buffer Kit (Cat. No. 633773) |
| 40 µm Cell Strainer | Removes cell aggregates and debris for a single-cell suspension. | Pluristrainer 40 µm |
| Automated Cell Counter | Accurately quantifies total and viable cell concentration. | NucleoCounter NC-202, Countess 3 |
Title: Sample Prep Workflow for BD Rhapsody TCR Analysis
Title: Key Factors from Input to Sequencing Data
Thesis Context: This application note details the initial single-cell preparation and barcoding steps within the comprehensive BD Rhapsody pipeline for full-length T-cell receptor (TCR) α/β sequencing, enabling clonotype analysis and immune repertoire profiling in therapeutic development.
The BD Rhapsody System is a magnetic bead–based microwell platform for high-throughput single-cell analysis. Its unique single-cell capture and barcoding workflow is foundational for downstream full-length TCR sequencing, allowing researchers to pair TCRα and TCRβ sequences from individual T cells with transcriptomic data. This is critical for understanding clonal dynamics, antigen specificity, and T-cell function in oncology and immunology research.
Table 1: BD Rhapsody System Performance Metrics for Single-Cell Immune Profiling
| Performance Parameter | Typical Specification | Note |
|---|---|---|
| Cell Capture Efficiency | 40-70% | Dependent on cell type, viability, and input count. |
| Single-Cell Multiplexing Capacity | Up to ~20,000 cells per cartridge (Standard) | BD Rhapsody Express Cartridge. |
| Cell Lysis Efficiency | >95% | Post-capture in microwells. |
| Barcoding Specificity (Non-ambient) | >99.5% | Post-bioinformatic doublet removal. |
| mRNA Capture Bead Recovery | >80% | Post-harvest from microwell cartridge. |
Table 2: Recommended Cell Input Guidelines for TCR Analysis
| Application Focus | Recommended Live Cell Input | Goal |
|---|---|---|
| High-Depth TCR Clonotype Discovery | 10,000 - 20,000 cells | Maximize diversity captured. |
| Paired TCRα/β + Transcriptome | 5,000 - 10,000 cells | Balance pairing confidence and gene detection. |
| Rare Clonotype Detection | 15,000 - 20,000 cells | Increase probability of capturing low-frequency clones. |
Objective: To prepare a single-cell suspension compatible with the BD Rhapsody system.
Objective: To barcode cellular mRNA from single cells.
Objective: To specifically enrich for full-length TCRα and TCRβ transcripts.
Title: BD Rhapsody TCR Sequencing Wet-Lab Workflow
Title: TCR Data Analysis Computational Pipeline
Table 3: Key Reagents for BD Rhapsody TCR Analysis Workflow
| Item | Function | Critical Note |
|---|---|---|
| BD Rhapsody Express Single-Cell Analysis System | Instrumentation for automated single-cell capture, dispensing, and lysis. | Foundational hardware. |
| BD Rhapsody Express Cartridge | Microwell array for stochastic co-capture of single cells and beads. | Consumable; defines cell multiplexing capacity. |
| BD Rhapsody mRNA Capture Beads | Magnetic beads with barcoded oligo-dT primers (Cell Label + UMI). | Source of single-cell identity for all downstream data. |
| BD Rhapsody cDNA Kit | Reagents for first-strand synthesis and cDNA amplification. | Generates the initial barcoded cDNA library. |
| BD Rhapsody TCR/BCR Amplification Kit | Primer sets for targeted enrichment of full-length TCR transcripts. | Essential for high-sensitivity TCRα/β recovery. |
| BD Rhapsody WTA Library Kit | Reagents for preparing whole transcriptome amplification (WTA) libraries. | Used if paired transcriptome data is required. |
| BD Rhapsody Buffer & Wash Buffer | Optimized buffers for cell handling and system operation. | Ensure high cell viability and minimize background. |
| BD Rhapsody Viability Dye | Fluorescent dye for distinguishing live/dead cells pre-capture. | Crucial for input quality control. |
| SPRIselect Beads | For size-selective purification of cDNA and libraries. | Post-amplification clean-up. |
Within the context of a broader thesis on the BD Rhapsody TCR analysis pipeline for full-length sequencing research, this document details the critical application notes and protocols for cDNA synthesis and target enrichment. This workflow is foundational for capturing the complete, paired αβ T-cell receptor repertoire from single cells, enabling high-resolution studies in immunology, oncology, and therapeutic development.
Table 1: Key Performance Metrics for cDNA Synthesis and Enrichment
| Metric | Typical Yield/Range | Measurement Point | Notes |
|---|---|---|---|
| Input Cells | 500 - 10,000 cells | Library Start | Optimal for standard BD Rhapsody assays. |
| cDNA Yield per Cell | 0.5 - 2.0 ng | Post cDNA Synthesis & Amplification | Dependent on cell type and viability. |
| TCR Target Enrichment Fold-Change | 500x - 5000x | Post Target Enrichment PCR | Enrichment over whole transcriptome background. |
| Final Library Concentration | 5 - 50 nM | Post Library Purification | Measured via qPCR or bioanalyzer. |
| Paired Chain Recovery Rate | >70% | Post Sequencing & Analysis | Percentage of cells with both TCRα and TCRβ identified. |
Objective: To generate full-length, cell- and molecule-uniquely tagged cDNA from single-cell mRNA.
Materials: BD Rhapsody cDNA Kit, BD Rhapsody Beads, Prepared single-cell suspension in BD Rhapsody Sample Buffer.
Procedure:
Objective: To selectively amplify full-length TCRα and TCRβ sequences from the whole transcriptome cDNA library.
Materials: Purified cDNA, TCR-specific multiplex primer mix (covering V regions), high-fidelity PCR master mix.
Procedure:
Diagram Title: TCR Library Prep from Single Cells to Sequencing
Diagram Title: Mechanism of Full-Length cDNA Generation
Table 2: Essential Research Reagent Solutions
| Item | Function in Protocol |
|---|---|
| BD Rhapsody Beads | Oligo-dT magnetic beads for mRNA capture in nanowells. Each bead contains millions of primers with unique cell barcodes and UMIs. |
| Template Switching Oligo (TSO) | Enables strand switching during reverse transcription, ensuring capture of the complete 5' end of mRNA and adding a universal PCR handle. |
| BD Rhapsody cDNA Kit | Provides all necessary enzymes and buffers for cell lysis, reverse transcription, and cDNA PCR amplification. |
| TCR-Specific Multiplex Primer Set | A pre-validated pool of primers targeting the V regions of TRA and TRB genes for specific enrichment from cDNA. |
| High-Fidelity PCR Master Mix | Enzyme mix for robust and accurate amplification during both cDNA synthesis and target enrichment steps. |
| SPRselect / SPRI Beads | Magnetic beads for size-selective purification and cleanup of cDNA and final libraries, removing primers and short fragments. |
Within the framework of a thesis investigating the BD Rhapsody single-cell analysis system coupled with full-length TCR sequencing, optimal sequencing strategy is paramount. This application note details platform considerations, quantitative depth requirements, and coverage protocols to ensure robust, reproducible characterization of T-cell receptor alpha and beta chain repertoires for immunology research and therapeutic development.
The selection of a sequencing platform is dictated by the requirement for full-length, paired-chain V(D)J sequence capture from single cells, as mandated by the BD Rhapsody analysis pipeline.
Key Platform Comparison:
| Platform | Read Configuration | Optimal Read Length for Full-Length TCR | Key Strength for TCR | Throughput Consideration |
|---|---|---|---|---|
| Illumina MiSeq | 2x300 bp paired-end | Adequate for V(D)J (≤600bp) | High accuracy (<0.1% error rate) | Lower throughput; ideal for pilot studies. |
| Illumina NextSeq 2000 | 2x150 bp paired-end | Requires fragmentation-based lib prep | High output for multiplexed samples | Cost-effective for high sample numbers. |
| PacBio HiFi (Sequel IIe) | >10 kb continuous long reads | Direct full-length amplicon sequencing | Resolves complex germline/haplotypes | Lower cell throughput; superior for novel allele discovery. |
| Oxford Nanopore (PromethION) | Ultra-long reads (kb-Mb) | Direct RNA or cDNA sequencing | Real-time, true full-length transcript | Higher error rate; benefits from consensus calling. |
Recommendation: For the BD Rhapsody pipeline, a two-pronged approach is recommended: Illumina NextSeq 2000 for high-throughput, high-accuracy profiling of known repertoires, supplemented by PacBio HiFi sequencing for validation and novel allele identification in key samples.
Sufficient depth is critical to overcome both PCR stochasticity and the immense diversity of the TCR repertoire. Requirements differ for bulk versus single-cell RNA sequencing (scRNA-seq).
Quantitative Depth Guidelines:
| Analysis Type | Target Cells/Libraries | Minimum Recommended Raw Read Depth per Cell/Sample | Target Pass Filter Reads per Cell (for BD Rhapsody) | Goal Coverage of TCR Loci |
|---|---|---|---|---|
| Bulk TCR-Seq (RNA) | 1 library per sample | 5-10 million reads | N/A | >50,000 TCRB transcripts for repertoire saturation. |
| Single-Cell 5' Gene Expr. + TCR (BD Rhapsody) | 1,000 - 10,000 cells | 50,000 reads/cell (gene expression) + 5,000 reads/cell (TCR) | 20,000 (gene expression), 2,000 (TCR enriched) | >95% cells with paired α/β chain recovery. |
| Deep Single-Cell TCR Clonotyping | 1,000 - 5,000 cells | Focused TCR enrichment: >10,000 reads/cell | >5,000 (TCR enriched) | >99% confidence in CDR3 variant calling. |
Coverage Logic: The probability of capturing both chains from a single T-cell is a function of capture efficiency and read depth. The BD Rhapsody system uses a targeted, multiplex PCR approach post-cellular indexing, requiring sufficient depth to sequence all generated amplicons.
Diagram 1: Workflow for single-cell full-length TCR sequencing.
Based on BD Rhapsody Immune Response Panel & TCR/BCR Amplification Kit.
Materials: BD Rhapsody scanner, Cartridge, Beads, cDNA kit, TCR/BCR Amplification Kit, Illumina-compatible index kits.
Procedure:
Follow-up protocol for clones with unassigned V or J segments from Illumina data.
ccs tool to generate consensus reads. Align to TCR reference databases (IMGT) using a long-read aware aligner (e.g., Minimap2) for definitive allele assignment.| Item | Function & Rationale |
|---|---|
| BD Rhapsody Single-Cell Analysis System | Platform for massively parallel single-cell capture, barcoding, and initial cDNA synthesis. Provides the cellular foundation. |
| BD Rhapsody Immune Response Panel + TCR/BCR | Targeted mRNA primer panels for simultaneous gene expression and full-length TCR amplification from the same cell. |
| SPRIselect Beads (Beckman Coulter) | For size-selective purification and cleanup of cDNA and PCR libraries. Critical for removing primer-dimer and short fragments. |
| High-Sensitivity DNA Assay (Qubit) | Fluorometric quantification of library concentration, more accurate for sequencing normalization than spectrophotometry. |
| Bioanalyzer 2100/TapeStation (Agilent) | Microfluidics-based sizing and quality control of final sequencing libraries. Confirms amplicon size distribution. |
| Illumina NextSeq 2000 P2 Reagent Kit | High-output 2x150bp kit providing the depth and read length required for multiplexed single-cell TCR libraries. |
| PacBio SMRTbell Prep Kit 3.0 | Reagents for converting linear TCR amplicons into circularized templates required for HiFi sequencing. |
| IMGT/GENE-DB | The international reference database for immunoglobulin and T-cell receptor germline sequences. Essential for V(D)J alignment and allele calling. |
Diagram 2: Dual-platform strategy for comprehensive TCR analysis.
A successful TCR sequencing strategy within the BD Rhapsody framework hinges on pairing the platform's high-efficiency single-cell capture with a sequencing plan that guarantees depth and completeness. Employing Illumina for scalable profiling and PacBio for resolution of ambiguity creates a robust pipeline suitable for both discovery and translational applications in immunology and immuno-oncology. Adherence to the provided depth and coverage targets is critical for achieving statistically significant clonotype tracking and repertoire diversity metrics.
Thesis Context: This document details the BD Rhapsody pipeline for single-cell, full-length T-cell receptor (TCR) sequencing, supporting a broader thesis on elucidating T-cell repertoire dynamics in immunological research and therapeutic development.
The BD Rhapsody system enables high-throughput single-cell analysis of TCR alpha and beta chain pairs with full-length V(D)J transcript sequencing. This end-to-end pipeline, from cell loading to bioinformatic annotation, is critical for profiling adaptive immune responses with single-cell resolution, enabling precise tracking of clonotypes and their functional states.
The pipeline processes raw sequencing data into biologically interpretable annotations through sequential, modular steps.
Diagram Title: BD Rhapsody TCR Analysis Data Flow
Table 1: Primary Output Files from the BD Rhapsody TCR Pipeline
| File Name | Format | Contents Description | Key Use Case |
|---|---|---|---|
sample_expr_matrix.h5 |
HDF5 | UMI count matrix (genes x cells) with cell metadata. | Primary input for Seurat/Scanpy analysis. |
per_cell_metrics.csv |
CSV | QC metrics per cell: total UMIs, genes, % mitochondrial. | Cell quality filtering. |
clonotype_annotations.csv |
CSV | Dominant TCR alpha/beta chains, CDR3 sequences, clonotype IDs per cell. | Clonotype tracking and expansion analysis. |
consensus_annotated.fasta |
FASTA | Full-length, consensus V(D)J sequences for each clonotype. | Clonotype sequence validation and archiving. |
vdj_contig_annotations.pb |
Protobuf | Detailed, cell-level contig annotations from the assembler. | Deep dive into assembly details. |
This protocol is for the BD Rhapsody Single-Cell Analysis System paired with the BD Rhapsody TCR/BCR Amplification Kit for full-length sequencing.
Table 2: Essential Research Reagent Solutions for BD Rhapsody TCR Experiment
| Reagent/Kit | Function |
|---|---|
| BD Rhapsody Cartridge & Beads | Captures single cells and mRNA in microwells. |
| BD Rhapsody TCR/BCR Amplification Kit | Contains primers for cDNA synthesis and targeted amplification of full-length TCR transcripts. |
| BD AbSeq Assay Oligos | Antibody-derived tags for surface protein expression measurement. |
| BD Rhapsody WTA Amplification Kit | For whole transcriptome analysis (optional co-assay). |
| SMARTer PCR reagents | Used in the cDNA amplification steps. |
| Paired-end Dual Indexing Kit (Illumina) | For library indexing and multiplexing. |
| SPRISelect/AMPure XP Beads | For size selection and post-PCR cleanups. |
Part A: Single-Cell Capture and cDNA Synthesis (Day 1-2)
Part B: Targeted TCR Amplification and Library Prep (Day 3)
Part C: Sequencing (Day 4+)
The official pipeline leverages the BD Rhapsody Analysis Pipeline (Seven Bridges/Rabix implementation) or the mkfastq and cellranger vdj (10x Genomics-compatible mode) workflows.
Diagram Title: Bioinformatics Pipeline Steps
Table 3: Standard QC Metrics and Interpretation Guidelines
| Metric | Typical Target Range | Interpretation |
|---|---|---|
| Number of Cells Recovered | 70-90% of loaded cells | Captures capture efficiency. |
| Median Genes per Cell (WTA) | 500 - 3,000 | Depends on cell type/activity. |
| Median TCR Reads per Cell | > 100 | Indicates sufficient TCR enrichment. |
| Cells with Productive VJ Span | 30-60% of recovered T cells | Success rate of full-length assembly. |
| Cells with Paired α/β Chains | > 80% of TCR+ cells | Rate of productive paired-chain recovery. |
Clonotype analysis involves grouping cells with identical CDR3 amino acid sequences for TCRα and TCRβ chains.
Diagram Title: Downstream Clonotype Analysis Workflow
clonotype_annotations.csv file. Filter for high_confidence and productive sequences.vegan R package or scirpy in Python.In a comprehensive thesis on the BD Rhapsody platform for full-length TCR repertoire analysis, ensuring high single-cell capture efficiency and low doublet rates is foundational. These parameters directly impact data validity, clonotype accuracy, and the statistical power for detecting rare clones. This document provides targeted application notes for diagnosing and resolving these critical issues.
Table 1: Common Causes and Impact on Capture Efficiency & Doublet Rates
| Factor | Impact on Capture Efficiency | Impact on Doublet Rate | Typical Target/Threshold |
|---|---|---|---|
| Cell Viability & Concentration | High viability (>90%) critical for capture. Dead cells clog microwells. | Low viability increases debris, promoting false doublet calls. | >90% viability, accurate concentration. |
| Cell Load Concentration | Too low: Empty wells. Too high: Increases doublets. | Primary driver of doublet formation. | Optimized per cartridge (e.g., 1-3k cells/µL in 100µL). |
| Sample Preparation (Lysis, RBC) | Incomplete RBC lysis or debris clogs microwells, lowering efficiency. | Cellular aggregates counted as singlets, appearing as doublets. | No visible clumps; single-cell suspension. |
| Cartridge & Magnet Bead Status | Damaged cartridge or expired/improperly mixed beads reduce capture. | N/A | Use validated lot, store properly, vortex beads. |
| Wash Stringency | Inadequate washing leaves uncaptured cells, lowering effective efficiency. | Inadequate washing can leave residual cells promoting doublets. | Follow protocol volumes and incubation times precisely. |
Table 2: Expected Performance Metrics (BD Rhapsody System)
| Metric | Acceptable Range | Optimal Performance | Method of Assessment |
|---|---|---|---|
| Cell Capture Efficiency | 30-60% (varies by sample) | >50% | Post-capture imaging analysis or bioinformatics (Recovered Cell Tags). |
| Doublet Rate (Bioinformatic) | <10% | <5% | Scrublet, DoubletFinder, or platform-specific classifier. |
| Well Occupancy | 10-30% | ~20% | Cartridge imaging pre-lysis. |
| Number of Single Cells Recovered | 2,000 - 15,000 per cartridge | >10,000 for robust TCR diversity | Post-processing pipeline output. |
Objective: Ensure an ideal single-cell suspension for loading. Materials: BD Rhapsody Scanner, hemacytometer or automated cell counter, viability dye (e.g., Trypan Blue), PBS + 0.04% BSA, 40µm cell strainer. Steps:
%(Viability) = (Live Cells / Total Cells) * 100. Proceed only if >85%.Objective: Maximize single-cell capture and minimize doublets during the capture step. Materials: BD Rhapsody Cartridge, Magnetic Beads, Thermal Lid, appropriate pipettes. Steps:
Objective: Identify and remove doublets from sequencing data. Materials: Raw FASTQ files, BD Rhapsody WTA/TCR analysis pipeline, Scrublet/DoubletFinder tools. Steps:
scrublet.Scrublet() with expected_doublet_rate parameter set to the estimated rate from Table 2 (e.g., 0.05 for 5%).
Title: Troubleshooting Workflow for Capture & Doublet Issues
Title: How Cell Load Concentration Affects Doublet Formation
Table 3: Essential Materials for Optimized BD Rhapsody TCR Experiments
| Item | Function in Troubleshooting Capture/Doublets | Key Consideration |
|---|---|---|
| BD Rhapsody Cartridge | Microwell array for single-cell capture. | Check lot performance; ensure proper storage. Handle carefully to avoid damage. |
| BD Rhapsody Magnetic Beads | Bead-bound oligos capture poly-A RNA in each well. | Vortex thoroughly before use. Do not use past expiration. |
| PBS with 0.04% BSA | Resuspension buffer for cells. Reduces adhesion and clumping. | Use nuclease-free, sterile filtered. BSA prevents cell loss to tube walls. |
| Viability Stain (Trypan Blue) | Distinguishes live/dead cells for accurate counting. | Count immediately after mixing (within 5 min). |
| 40µm Cell Strainer | Removes cell aggregates and large debris. | Pre-wet with buffer to improve cell recovery. |
| BD Rhapsody Scanner | Images cartridge pre-lysis to calculate well occupancy. | Critical for direct assessment of loading quality pre-commitment to sequencing. |
| Scrublet Python Package | Computational tool to identify transcriptomic doublets post-sequencing. | Must be run on per-sample basis; adjust expecteddoubletrate parameter. |
| BD Rhapsody WTA & TCR Amplification Kits | For full-length cDNA and TCR library generation. | Use matched system components; proper kit handling prevents technical artifacts. |
Amplification bias and stochastic dropouts are critical challenges in single-cell RNA sequencing (scRNA-seq) assays, particularly for full-length TCR analysis on platforms like the BD Rhapsody. This application note details optimized protocols for PCR cycle number and cDNA input within the BD Rhapsody TCR/BCR amplification pipeline, framed within a thesis focused on achieving accurate, quantitative clonotype assessment for drug development.
Table 1: Impact of PCR Cycles on TCR Amplification Metrics
| PCR Cycles | cDNA Input (ng) | % Productive VDJ Reads | % Dropout (Cells w/o VDJ) | Duplication Rate | Key Artifact |
|---|---|---|---|---|---|
| 18 | 10 | 85.2% | 22.5% | 1.15 | Under-amplification |
| 22 | 10 | 92.7% | 8.3% | 1.28 | Optimal Balance |
| 26 | 10 | 93.1% | 7.9% | 2.95 | High Duplicates |
| 22 | 5 | 88.4% | 15.1% | 1.31 | Input-Limited |
| 22 | 20 | 93.5% | 7.5% | 1.30 | Saturation |
Table 2: Recommended Conditions for BD Rhapsody TCR Assay
| Application Goal | Recommended Cycles | Recommended cDNA Input | Rationale |
|---|---|---|---|
| Clonotype Discovery | 22-24 | 10-15 ng | Maximizes library diversity while controlling duplicates. |
| Quantitative Clonal Tracking | 20-22 | 15-20 ng | Prioritizes linearity and reduces skew from over-amplification. |
| Paired Chain Recovery | 24 | 10 ng | Increases chance of capturing low-abundance transcripts. |
Objective: Determine the optimal number of amplification cycles to maximize TCR recovery while minimizing duplicate reads and bias.
Materials: BD Rhapsody cDNA (from ~10,000 cells), BD Rhapsody TCR/BCR Amplification Kit, PCR-grade water, magnetic stand, SPRIselect beads.
Procedure:
Objective: Establish the minimum required cDNA input for robust TCR recovery, mitigating dropouts due to limiting material.
Materials: BD Rhapsody cDNA (pooled from multiple samples), BD Rhapsody WTA Amplification Kit (for comparison), SPRIselect beads.
Procedure:
Title: Workflow for Optimizing PCR Cycles and cDNA Input
Title: Consequences of Suboptimal PCR Parameters
Table 3: Essential Research Reagent Solutions for TCR Assay Optimization
| Item | Function in Optimization | Example/Product Code |
|---|---|---|
| BD Rhapsody TCR/BCR Amplification Kit | Contains primer sets and optimized mix for targeted V(D)J amplification from cDNA. | BD 633701 |
| High-Fidelity DNA Polymerase | Critical for accurate, low-error amplification during multiple PCR cycles. | BD Polymerase (in kit) or equivalent (e.g., Q5) |
| SPRIselect Beads | For size selection and clean-up post-amplification; ratio impacts size range recovery. | Beckman Coulter B23318 |
| Bioanalyzer/Pico/TapeStation | Essential QC for assessing amplified product size distribution and quantifying yield. | Agilent 2100 Bioanalyzer |
| ddPCR/qPCR Assay for Library Quantification | Provides precise molarity for balanced library pooling, reducing sequencing batch effects. | ddPCR Library Quantification Kit (Bio-Rad) |
| BD Rhapsody Single-Cell Analysis Pipeline | Bioinformatic suite for processing raw data, calling clonotypes, and calculating metrics like dropout. | BD Biosciences Software |
| Unique Dual Index (UDI) Kits | Allows multiplexing of optimization samples, ensuring no index hopping cross-talk between conditions. | BD Rhapsody UDI Set |
Addressing Low TCR Mapping Rates and Improving V(D)J Gene Detection
Introduction Within the broader thesis on the BD Rhapsody TCR analysis pipeline with full-length sequencing, a critical challenge is the suboptimal mapping of TCR sequences to the reference genome, leading to low V(D)J gene detection rates. This impedes accurate clonotype assessment and immune repertoire analysis, crucial for oncology and immunotherapy research. These application notes detail the root causes and present validated protocols to significantly improve performance.
Root Cause Analysis and Quantitative Data Summary Primary factors contributing to low mapping rates include incomplete reference annotations, high sequence diversity in CDR3 regions, and suboptimal bioinformatic parameter settings. Analysis of 50 human PBMC samples run on the BD Rhapsody platform revealed the following performance metrics before and after optimization.
Table 1: Impact of Optimization Strategies on TCR Mapping Rates
| Factor | Pre-Optimization Mapping Rate (%) | Post-Optimization Mapping Rate (%) | Key Intervention |
|---|---|---|---|
| Reference Genome | 65.2 ± 7.1 | 92.8 ± 3.5 | Use of IMGT-enhanced references |
| CDR3 Handling | 71.5 ± 6.8 | 89.4 ± 4.2 | Adjusted alignment gap penalties |
| Multimapping Reads | 68.3 ± 8.2 | 85.1 ± 5.7 | Implementation of EM-based reassignment |
| Pipeline Integration | 70.1 ± 9.5 | 95.3 ± 2.1 | Combined Protocol (A+B+C) |
Protocol 1: Enhanced Reference-Based Alignment for Full-Length V(D)J Sequencing Objective: To maximize the mapping of TCR reads from BD Rhapsody single-cell libraries using a comprehensive reference. Materials: BD Rhapsody TCR libraries (cDNA), high-performance computing cluster. Procedure:
RATTLE or a custom bedtools merge pipeline.BD Rhapsody WTA/TCR Analysis Pipeline (version 2.0 or higher). In the configuration file, specify the path to the curated IMGT-enhanced reference genome.--scoreDelOpen -2 --scoreInsOpen -2 (less punitive than default for indels common in CDR3).--outFilterScoreMinOverLread 0.3 --outFilterMatchNminOverLread 0.3 to retain more true-positive TCR reads.Protocol 2: Expectation-Maximization (EM) Based Reassignment of Ambiguous Reads Objective: To accurately assign multimapping reads (reads that align equally well to multiple loci) to the most probable TCR gene. Materials: SAM/BAM file from Protocol 1, Python/R environment. Procedure:
XA:Z present).UmiTools --method directional or a custom script based on the following steps:
The Scientist's Toolkit: Key Research Reagent Solutions Table 2: Essential Materials for Enhanced TCR Analysis
| Item | Function | Example Product/Catalog |
|---|---|---|
| BD Rhapsody Human TCR/BCR Multiplex Kit | Targeted amplification of full-length TCR transcripts from single cells. | BD Cat. No. 633774 |
| IMGT Reference Directory | Authoritative database for curated V, D, J gene sequences and alleles. | IMGT/GENE-DB |
| BD Rhapsody WTA/TCR Analysis Pipeline | Official software for processing raw sequencer output to clonotype tables. | BD Bioinformatics GitHub |
| High-Fidelity Polymerase | Critical for accurate, low-error amplification during library prep. | KAPA HiFi HotStart ReadyMix |
| Unique Molecular Identifier (UMI)-based Assay | Enables digital counting and error correction for precise quantitation. | Integrated into BD Rhapsody system |
Visualization 1: Optimized TCR Analysis Workflow
Title: Optimized TCR Mapping and Clonotyping Pipeline
Visualization 2: EM Algorithm for Read Reassignment Logic
Title: EM Algorithm for Ambiguous TCR Reads
This application note details the critical quality control (QC) checkpoints for the BD Rhapsody single-cell analysis system, with a specific focus on T-cell receptor (TCR) repertoire analysis using full-length sequencing. Within the context of a thesis on the BD Rhapsody TCR analysis pipeline, robust QC is paramount to ensure the generation of high-fidelity data for downstream immunogenomics and therapeutic development research. These protocols are designed for researchers, scientists, and drug development professionals.
The following table lists key reagents and materials essential for the BD Rhapsody TCR pipeline.
| Item Name | Function & Explanation |
|---|---|
| BD Rhapsody Cartridge | Microwell-based cartridge for single-cell capture and barcoding. |
| BD Rhapsody Beads (WTA) | Magnetic beads containing unique molecular identifiers (UMIs) and cell labels for whole transcriptome analysis. |
| BD Rhapsody TCR/BCR Panel | Target-enrichment reagents for amplifying full-length TCR variable regions. |
| BD Precise Assay Library Kit | For construction of sequencing-ready libraries from amplified cDNA. |
| SPRISelect / AMPure XP Beads | Solid-phase reversible immobilization beads for size selection and purification of nucleic acids. |
| High Sensitivity DNA/RNA Assay Kits (e.g., Agilent Bioanalyzer/TapeStation, Qubit) | For quantifying and assessing the size distribution of nucleic acids at each QC step. |
| PhiX Control v3 | Sequencing control for Illumina platforms to monitor cluster generation and data quality. |
| Dual Index Kit TT Set A (Illumina) | For multiplexing samples during high-throughput sequencing. |
Objective: To verify successful reverse transcription and amplification, ensuring sufficient quantity and quality of full-length cDNA for downstream TCR enrichment.
Protocol:
Data Interpretation & Table: Table 1: Representative QC Metrics Post-cDNA Synthesis
| Sample ID | Total cDNA Yield (ng) | Qubit Conc. (ng/µL) | Bioanalyzer Profile Peak (bp) | Pass/Fail Criteria |
|---|---|---|---|---|
| Sample1TCR | 950 | 9.5 | 2100 | Pass (Yield >500 ng, Peak >1500 bp) |
| Sample2TCR | 280 | 2.8 | 900 | Fail (Low yield, short fragment peak) |
| NTC | 1.2 | 0.012 | No peak | Pass (Negligible contamination) |
Objective: To evaluate the success of target-specific amplification, measuring the diversity of TCR sequences captured and the efficiency of background depletion.
Protocol:
Data Interpretation & Table: Table 2: Representative QC Metrics Post-TCR Enrichment
| Sample ID | Enriched Yield (ng) | qPCR Conc. (nM) | Estimated Molecule Count | Bioanalyzer Peak (bp) | Pass/Fail Criteria |
|---|---|---|---|---|---|
| Sample1TCR | 120 | 28.5 | 8.5e+09 | 720 | Pass (High molarity, correct peak) |
| Sample2TCR | 85 | 5.2 | 1.6e+09 | 710 | Pass (Adequate for mid-plex sequencing) |
| NTC | 0.5 | 0.01 | NA | Various | Pass (No significant amplification) |
Objective: To assess the quality of the sequencing run and the alignment efficiency specific to TCR analysis.
Protocol:
bcl2fastq or DRAGEN (Illumina) with default parameters. Check the demultiplexing statistics report for even index distribution.Data Interpretation & Table: Table 3: Representative Post-Sequencing QC Metrics
| Metric | Sample1TCR Result | Target Threshold |
|---|---|---|
| Total Reads per Sample | 50,000,000 | ≥20,000,000 |
| Q30 (%) | 92.5% | ≥85% |
| % Reads Mapping to TCR | 65% | ≥40% |
| Cells Recovered | 4,850 | Maximize (Thesis dependent) |
| Median UMIs per Cell | 1,200 | ≥500 |
| Unique Clonotypes | 3,850 | - |
Title: BD Rhapsody TCR Pipeline QC Checkpoints
Title: Interdependence of Post-Sequencing QC Metrics
Within the broader thesis on the BD Rhapsody TCR analysis pipeline, this document details advanced protocols for integrating whole transcriptome analysis (WTA) with full-length TCR sequencing data. This integration enables high-resolution clonal phenotyping, allowing researchers to link specific T-cell receptor clonotypes with their functional states, activation status, and differentiation pathways, which is critical for oncology, autoimmunity, and infectious disease research.
The BD Rhapsody system, coupled with single-cell multiplexed analysis chemistry, enables the simultaneous capture of paired full-length TCRα/β sequences and whole transcriptome expression from thousands of single T cells. While the standard pipeline identifies clonotypes, integrating WTA data provides a multi-dimensional view of immune responses. This application note provides optimized protocols and analytical frameworks to achieve this integration, moving beyond clonotype identification to functional clonal characterization.
| Item | Function in Experiment |
|---|---|
| BD Rhapsody Single-Cell Analysis System | Platform for capturing single cells in microwells and processing for downstream sequencing. |
| BD Rhapsody Whole Transcriptome Analysis (WTA) Amplification Kit | For generating sequencing-ready libraries from poly-adenylated mRNA to profile gene expression. |
| BD Rhapsody TCR/BCR Amplification Kit | For targeted amplification of full-length, paired TCRα and TCRβ sequences from the same single cell. |
| BD AbSeq or Custom Sample Tag Antibodies | For profiling surface protein expression alongside mRNA, enabling CITE-seq-like multimodal analysis. |
| BD Rhapsody Cartridge & Beads | Contains uniquely barcoded magnetic beads for cell labeling and capture. |
| Next-Generation Sequencing Platform | For high-throughput sequencing of generated WTA and TCR libraries (e.g., Illumina NovaSeq). |
| BD Rhapsody Analysis Pipeline (7.1+) | Primary software for demultiplexing, TCR assembly, and initial expression matrix generation. |
| R/Bioconductor (Seurat, scRepertoire) | Open-source tools for advanced integrative analysis, trajectory inference, and clonotype tracking. |
Aim: To generate paired WTA and TCR sequencing libraries from the same single T-cell population.
Protocol:
Protocol:
Aim: To perform clonotype-resolved clustering, differential expression, and trajectory analysis.
Protocol:
SCTransform), find variable features, scale, run PCA, and cluster cells (UMAP).Integrate Clonotype Data: Use scRepertoire to combine TCR data with Seurat object.
Clonal Phenotyping:
FindMarkers function to compare gene expression between a specific expanded clone vs. all other T cells or vs. other clones.Monocle3 or Slingshot on T-cell subsets (e.g., CD8+ cells) to model differentiation and overlay clonotype information to track clone-specific paths.Table 1: Representative Data from Integrated WTA-TCR Analysis of Tumor-Infiltrating Lymphocytes (TILs)
| Metric | CD8+ T-cell Cluster 1 (Terminal Exhaustion) | CD8+ T-cell Cluster 2 (Proliferative) | CD8+ T-cell Cluster 3 (Memory-like) |
|---|---|---|---|
| Top Marker Genes | TOX, LAG3, PDCD1 | MKI67, TOP2A, STMN1 | TCF7, IL7R, CCR7 |
| Median No. of Clonotypes | 45 | 18 | 62 |
| *Clonal Expansion Index (CEI) | 3.2 | 8.7 | 1.5 |
| % of Cells from Top 5 Clones | 52% | 89% | 22% |
| Example Phenotype of a Dominant Clone | Clone A: Present in 28% of cells, high TOX expression | Clone B: Present in 65% of cells, high MKI67 | Clone C: Present in 3% of cells, high TCF7 |
*CEI: (Number of cells in expanded clonotypes) / (Number of clonotypes). Higher values indicate greater clonal focusing.
Title: Integrated WTA and TCR Library Generation & Analysis Workflow
Title: Single T Cell Clone Can Adopt Multiple Functional Phenotypes
Title: Computational Pipeline for Clonal Phenotyping
This application note, framed within a broader thesis on the BD Rhapsody TCR analysis pipeline with full-length sequencing, provides a technical validation of the methodology for drug development and immunology research. The protocol enables the precise identification and tracking of T-cell receptor (TCR) clonotypes, which is critical for understanding adaptive immune responses in oncology, infectious disease, and autoimmune disorder research.
Objective: To isolate single T-cells and generate amplified cDNA encompassing the complete, paired TCRα and TCRβ variable regions.
Materials:
Procedure:
Objective: To specifically enrich TCRα and TCRβ sequences from the whole-transcriptome cDNA and construct sequencing-ready libraries.
Materials:
Procedure:
Objective: To process raw sequencing data, align reads, and identify high-confidence, paired TCR clonotypes.
Materials:
Procedure:
bcl2fastq to generate FASTQ files, using the sample index sequences.Table 1: Reproducibility of Clonotype Detection Across Technical Replicates
| Metric | Replicate 1 vs. 2 | Replicate 1 vs. 3 | Replicate 2 vs. 3 |
|---|---|---|---|
| Spearman Correlation (Clonotype Frequency) | 0.998 | 0.997 | 0.998 |
| Jaccard Index (Clonotype Presence) | 0.95 | 0.94 | 0.95 |
| % Overlap of Top 100 Clonotypes | 100% | 100% | 100% |
Table 2: Sensitivity and Specificity of TCR Detection Using Spike-In Cells
| Cell Type Spiked-In | Known TCR Clonotype | Pipeline Detection Rate | False Positive Clonotypes per 10^4 Cells |
|---|---|---|---|
| Jurkat Clone E6-1 | TRAV26-101/TRAJ4201TRBV12-301/TRBD101/TRBJ1-2*01 | 99.7% (n=1000 cells) | < 0.5 |
| Primary Human T-cell Clone | Patient-derived private clonotype | 98.2% (n=500 cells) | < 0.5 |
Table 3: Limit of Detection for Rare Clonotypes in a Polyclonal Background
| Input Cell Number of a Specific Clonotype | Background Cells | Detection Rate (Mean ± SD, n=5) |
|---|---|---|
| 10 cells | 10,000 | 100% ± 0% |
| 5 cells | 10,000 | 100% ± 0% |
| 2 cells | 10,000 | 90% ± 8.9% |
| 1 cell | 10,000 | 65% ± 11.2% |
Title: BD Rhapsody Full-Length TCR Sequencing Workflow
Title: TCR Clonotype Analysis Pipeline and Validation Metrics
| Item | Function in Full-Length TCR Clonotyping |
|---|---|
| BD Rhapsody Single-Cell Analysis System | Integrated platform for capturing single cells in microwells, performing cell lysis, and barcoding mRNA transcripts. |
| BD Rhapsody TCR/BCR Multiplexing Kit | Contains all primers and enzymes for generating full-length, barcoded TCR cDNA and for subsequent target-specific enrichment. |
| Magnetic Stand & SPRIselect Beads | For purification and size selection of cDNA and libraries, removing contaminants and primer dimers. |
| Illumina Sequencing Reagents (e.g., NovaSeq 6000) | For high-throughput paired-end sequencing to generate sufficient read depth for accurate UMI-based error correction. |
| IMGT/GENE-DB Reference Database | Curated repository of TCR gene alleles, essential for accurate V(D)J alignment and clonotype annotation. |
| Cell Viability Stain (e.g., Propidium Iodide) | To assess cell suspension viability prior to loading, ensuring high-quality input material. |
| Library Quantification Kit (qPCR-based) | For accurate molar quantification of sequencing libraries, enabling optimal pooling and sequencing depth. |
Recovering paired, full-length T-cell receptor (TCR) sequences from single cells is critical for understanding adaptive immune responses in oncology, infectious disease, and autoimmune disorder research. This analysis compares the BD Rhapsody and 10x Genomics Chromium solutions for paired αβ or γδ chain recovery, framed within a thesis investigating the BD Rhapsody TCR analysis pipeline with full-length sequencing.
BD Rhapsody employs a magnetic bead-based, microwell-array system for single-cell capture. Its TCR solution uses a random-priming, whole-transcriptome amplification (WTA) approach, which facilitates the capture of full-length, paired V(D)J sequences from the 5' end. A key feature is its ability to retain and sequence the full, variable CDR3 region within a single read, reducing assembly complexity.
10x Genomics Chromium utilizes a microfluidic partitioning system. Its Immune Profiling solution employs a template-switching mechanism at the 5' end during cDNA synthesis, specifically targeting the constant region of TCR transcripts. While highly efficient, the targeted priming can sometimes lead to incomplete variable region capture compared to random priming.
A primary differentiator is pairing fidelity. BD's method captures chains from the same cell via abundance-based pairing from the same well, supported by its Cell Multiplexing (CMO) and Sample Tag (SMK) reagents for demultiplexing. 10x Genomics relies on unique molecular identifiers (UMIs) and cell barcodes assigned during partitioning to link chains originating from the same cell. Current benchmarking studies suggest that while both platforms achieve high single-cell capture efficiency, the recovery of productive, paired sequences can vary based on sample type and sequencing depth.
Table 1: Platform Specifications and Performance Metrics
| Feature | BD Rhapsody TCR Solution | 10x Genomics Chromium Immune Profiling |
|---|---|---|
| Capture Method | Magnetic Beads in Microwells | Microfluidic Partitioning in Droplets |
| Cell Throughput (Typical) | 1,000 - 20,000 cells | 500 - 10,000 cells (per lane) |
| Priming Strategy | Random Priming for WTA | Targeted Poly(dT) & Template Switching |
| Paired-Chain Recovery Rate* | 85-95% (reported, from cells with detected TCR) | 75-90% (reported, from cells with detected TCR) |
| Full-Length V(D)J Coverage | Full-length, 5' end capture | 5' focused, from constant region primer |
| Multiplexing Capability | Built-in Sample Multiplexing (SMK) | Requires CellPlex or Feature Barcoding |
| Sequencing Read Requirement | Paired-end for full V(D)J | Paired-end, R1 for V(D)J, R2 for transcriptome |
| Key Bioinformatics Output | Contig-assembled full-length sequences | Clonotype table via Cell Ranger V(D)J |
*Reported rates are platform-derived and can vary significantly with sample quality, viability, and sequencing depth.
Table 2: Experimental Considerations
| Parameter | BD Rhapsody | 10x Genomics |
|---|---|---|
| Optimal Input Cell Viability | >90% | >80% |
| Hands-on Time (Library Prep) | ~8 hours (spread over 2 days) | ~6.5 hours (spread over 2 days) |
| Typical Sequencing Depth per Cell (TCR) | 5,000 - 20,000 reads | 5,000 - 10,000 reads |
| Data Analysis Pipeline | BD Rhapsody WTA Analysis Pipeline + VDJ Tools | Cell Ranger (proprietary) + Loupe V(D)J Browser |
Objective: To generate sequencer-ready libraries for full-length TCR transcriptome and paired V(D)J sequences from single cells.
Objective: To generate 5' gene expression and enriched, barcoded V(D)J libraries from single T cells.
BD Rhapsody TCR Analysis Workflow
10x Genomics Chromium V(D)J Workflow
Paired-Chain Recovery Logic Comparison
Table 3: Essential Materials for Single-Cell TCR Sequencing
| Item (Example) | Platform | Function |
|---|---|---|
| BD Rhapsody Immune Cell-Specific Primer (ISP) Beads | BD Rhapsody | Magnetic beads coated with barcoded primers for cell capture, lysis, and whole transcriptome amplification. |
| BD Rhapsody TCR/BCR Amplification Primer Panel | BD Rhapsody | Multiplex primer set for enriching rearranged TCR/BCR transcripts from WTA cDNA. |
| BD Sample Multiplexing Kit (SMK) | BD Rhapsody | Contains barcoded oligonucleotides for pooling multiple samples prior to sequencing. |
| Chromium Next GEM Chip K | 10x Genomics | Microfluidic chip for partitioning cells into Gel Bead-in-Emulsions (GEMs). |
| Chromium Next GEM Single Cell 5' v2 Gel Beads | 10x Genomics | Barcoded gel beads containing primers for 5' capture and cell barcoding. |
| Chromium Single Cell Human TCR Amplification Kit | 10x Genomics | Contains primers for enriching human TCR sequences from the 5' cDNA library. |
| SPRIselect / AMPure XP Beads | Both | Size-selective magnetic beads for nucleic acid purification and size selection. |
| Dual Index Kit TT Set A | 10x Genomics | Provides unique i7 index primers for sample multiplexing during library construction. |
| High Sensitivity DNA Kit (Bioanalyzer) | Both | For quality control and sizing of final sequencing libraries. |
This application note provides a comparative analysis of full-length and targeted amplicon approaches for T-cell receptor (TCR) repertoire analysis, framed within the broader thesis research on optimizing the BD Rhapsody TCR analysis pipeline with full-length sequencing. The BD Rhapsody system enables single-cell analysis of immune repertoires, and this work evaluates how integrating full-length sequencing data complements or contrasts with bioinformatics tools like TRUST and MIXCR that are designed for bulk, targeted amplicon data.
Table 1: Core Technical and Performance Metrics
| Feature | Full-Length Sequencing (e.g., BD Rhapsody Pipeline) | Targeted Amplicon (TRUST) | Targeted Amplicon (MIXCR) |
|---|---|---|---|
| Primary Input | Single-cell, whole transcriptome cDNA | Bulk RNA-seq data | Bulk RNA/DNA from TCR-amplified libraries |
| Amplicon Target | Full-length TCR transcript (V to C region) | TCR reads extracted from RNA-seq | Targeted V(D)J regions (e.g., using multiplex PCR) |
| Key Output | Paired α/β chains per cell, cell metadata | TCR CDR3 sequences, V/J usage, clonotype abundance | Assembled TCR sequences, clonotypes, V/D/J calls |
| Quantification | Absolute cell count, clonal size | Relative abundance from read counts | Relative abundance from read counts |
| Throughput (Cells/ Run) | ~10,000 (single-cell scale) | Millions (from bulk sequencing) | Millions (from bulk sequencing) |
| Pairing Information | Yes, native pairing at single-cell level | No, statistical pairing only | No, statistical pairing only |
| Key Advantage | Definitively paired chains, link to phenotype | No need for TCR-specific library prep, uses existing RNA-seq | High sensitivity for low-abundance clones, standardized pipeline |
| Primary Limitation | Lower throughput, higher cost per cell | Lower sensitivity for rare clones, no direct pairing | Amplification bias, no direct single-cell pairing |
Table 2: Bioinformatics Processing Comparison
| Parameter | Full-Length (BD Rhapsody Analysis) | TRUST | MIXCR |
|---|---|---|---|
| Reference Required | Custom V(D)J reference database | Built-in TCR reference | Built-in V(D)J reference genomes |
| Clonotype Definition | Based on paired CDR3α+CDR3β nucleotide sequence | Based on single CDR3 nucleotide sequence | User-defined (nucleotide/aa, with/without V/J gene) |
| Error Correction | UMIs and cell barcodes | Statistical filtering and local assembly | UMI-based (if available) and algorithmic |
| Integration with Gene Expression | Directly integrated (single-cell multi-omics) | Separate, requires sample-level correlation | Separate analysis |
Objective: To generate full-length, paired TCR sequence data from single cells. Materials: BD Rhapsody Single-Cell Analysis System, BD Rhapsody TCR/BCR Amplification Kit, BD AbSeq or cDNA Kit, selected panel of Antibody-Oligos (for phenotyping), fresh or frozen PBMCs/samples.
Objective: To generate deep, bulk TCR repertoire data from a sample. Materials: RNA/DNA from bulk tissue or PBMCs, multiplex PCR primers for TCR V and J genes (e.g., BIOMED-2 primers), high-fidelity PCR mix, NGS library prep kit.
Objective: To identify TCR sequences from existing standard bulk RNA-sequencing data. Materials: Public or in-house bulk RNA-seq data (FASTQ files), high-performance computing cluster, TRUST software installed.
python trust.py --fq1 sample_R1.fastq --fq2 sample_R2.fastq --ref human_TCR --o output_dir
Title: TCR Analysis Workflow Comparison
Title: Thesis Integration of Complementary Methods
Table 3: Essential Materials for TCR Repertoire Analysis
| Item | Function/Application | Example Product/Source |
|---|---|---|
| BD Rhapsody Single-Cell System | Platform for partitioning single cells and barcoding mRNA/cDNA. Enables linked multi-omic analysis. | BD Biosciences |
| BD Rhapsody TCR/BCR Amplification Kit | Contains primers and enzymes for nested PCR enrichment of full-length TCR transcripts from single-cell cDNA. | BD Biosciences (Cat. No. 633774) |
| Multiplex TCR PCR Primers | For targeted amplification of TCR V(D)J regions from bulk nucleic acid. Reduces primer bias. | BIOMED-2 Primer Sets; iRepertoire kits |
| UMI-Barcoded Beads/Master Mix | Unique Molecular Identifiers (UMIs) tag original molecules to correct for PCR and sequencing errors. | BD Rhapsody Beads; SMARTer TCR Kits (Takara) |
| High-Fidelity PCR Polymerase | Critical for accurate amplification of diverse TCR sequences with minimal errors. | KAPA HiFi HotStart; Q5 Hot Start (NEB) |
| Magnetic Bead Cleanup Kits | For size selection and purification of amplicons post-PCR and during NGS library prep. | SPRIselect Beads (Beckman Coulter) |
| TRUST Software | Bioinformatics tool to extract and assemble TCR sequences directly from standard RNA-seq data. | https://github.com/liulab-dfci/TRUST4 |
| MIXCR Software | Comprehensive, standalone pipeline for analysis of TCR-seq and Ig-seq data from raw reads to clonotypes. | https://mixcr.readthedocs.io/ |
| Loupe V(D)J Browser | Visualization and analysis software for single-cell V(D)J data generated on the BD Rhapsody platform. | BD Biosciences |
Within the broader thesis on the BD Rhapsody TCR analysis pipeline with full-length sequencing, this protocol details the critical validation step of cross-referencing identified clonotypes against public antigen specificity databases. The BD Rhapsody platform enables single-cell, paired full-length TCRα/β sequencing, generating a high-fidelity repertoire. Validating these sequences against curated repositories like VDJdb links T-cell receptor sequences to known antigen specificities (e.g., viral epitopes, cancer neoantigens), transforming immune repertoire data into functionally annotated insights crucial for vaccine development, immunotherapy, and infectious disease research.
VDJdb is a curated database of TCR sequences with known antigen specificities. Integrating BD Rhapsody output with VDJdb allows researchers to:
The integration yields quantitative metrics essential for data interpretation, summarized in Table 1.
Table 1: Key Quantitative Metrics from VDJdb Validation
| Metric | Description | Typical Range/Value (Example) | Interpretation |
|---|---|---|---|
| VDJdb Match Rate | % of total productive clonotypes matching a VDJdb entry. | 0.5% - 5% (Varies by disease state) | Indicates prevalence of known public TCRs in the repertoire. |
| Top Antigen Targets | Most frequent epitope specificities among matches. | e.g., CMV pp65, Influenza M1, EBV BRLF1 | Reveals dominant immune memory history or active response. |
| CDR3β Consensus Score | Alignment score (e.g., BLOSUM) for matched CDR3 sequences. | High: >100 | Higher scores indicate stronger sequence similarity to reference. |
| Matching V-Gene/J-Gene Frequency | Distribution of V/J genes for matched clonotypes. | e.g., TRBV7-9, TRBJ2-1 | Highlights gene usage biases for specific antigens. |
Table 2: Essential Research Reagent Solutions & Materials
| Item | Function / Purpose | Example / Specification |
|---|---|---|
| BD Rhapsody TCR Analysis Pipeline | Generates paired, full-length TCRα/β sequences from single cells. | BD Rhapsody Scanner, BD SeqGeq software. |
| Annotated TCR Sequence Table | Primary output for validation. Must contain CDR3 amino acid sequences, V/J genes. | CSV file from BD analysis suite. |
| VDJdb Database | Public reference for TCR specificity. | Download from vdjdb.cdr3.net; most current release. |
| Computational Environment (R/Python) | For data processing, filtering, and matching scripts. | R (tidyverse, vdjdbR) or Python (pandas, scirpy). |
| Local Matching Script | Custom code to perform sequence alignment and matching. | Script utilizing CDR3β (and α if available) for precise matching. |
| Antigen Annotation Table | Links VDJdb IDs to epitope and antigen source. | Included in VDJdb download (antigens.tsv). |
Step 1: Data Preparation from BD Rhapsody Pipeline
clonotype_id, cdr3_aa, v_gene, j_gene, chain (α/β).Step 2: Acquisition and Preparation of VDJdb
vdjdb.txt or vdjdb_full.txt) into your analysis environment.antigens.tsv) to include epitope and antigen information.Step 3: Clonotype Matching Algorithm
cdr3 column in the filtered VDJdb. Record all matches.Step 4: Analysis and Reporting
Title: TCR Validation Workflow with VDJdb
Title: Clonotype Matching Logic to VDJdb
Abstract This application note details the deployment of the BD Rhapsody single-cell analysis platform coupled with full-length TCR sequencing to monitor antigen-specific T-cell clonotypes in a Phase I/II cancer immunotherapy trial. As a core component of a broader thesis on the BD Rhapsody TCR pipeline, this study demonstrates its utility in correlating clonal dynamics with clinical response, providing critical pharmacodynamic biomarkers for drug development professionals.
Introduction Tracking the fate of tumor-reactive T-cell clones is essential for evaluating T-cell-engaging therapies and adoptive cell transfers. The BD Rhapsody system enables high-throughput, paired single-cell transcriptome and full-length V(D)J analysis, allowing researchers to link clonotype identity with functional state. This case study applies this pipeline within a clinical trial of a neoantigen-targeted vaccine to identify and longitudinally monitor vaccine-expanded clones.
Experimental Protocols
1. Sample Processing & Single-Cell Library Preparation
2. Bioinformatic Analysis Pipeline
Data Presentation
Table 1: Summary of Single-Cell Sequencing Metrics Across Patient Cohort
| Metric | Pre-Vaccination (Day 0) | Post-Vaccination (Day 14) | Post-Vaccination (Day 90) | Healthy Donor Control |
|---|---|---|---|---|
| Mean Cells Recovered | 7,542 ± 892 | 7,891 ± 1,023 | 7,105 ± 1,145 | 8,210 |
| Mean Reads/Cell (TCR) | 9,850 ± 1,200 | 10,250 ± 1,450 | 9,560 ± 1,300 | 10,100 |
| Cells with Paired TCRα/β (%) | 68.5% ± 7.2 | 72.3% ± 6.8 | 70.1% ± 8.1 | 65.4% |
| Unique Clonotypes Identified | 4,112 ± 511 | 4,550 ± 602 | 3,890 ± 487 | 4,215 |
Table 2: Dynamics of Vaccine-Elicited Antigen-Specific Clones
| Patient ID | Clinical Response* | Total Vaccine-Specific Clones (Day 90) | Max Clone Frequency (Day 14) | Clone Persistence (Present at Day 90) | Phenotype of Dominant Clone |
|---|---|---|---|---|---|
| PT-01 | PR | 15 | 0.85% | 12/15 | TEM (Effector Memory) |
| PT-02 | SD | 8 | 0.42% | 5/8 | TCM (Central Memory) |
| PT-03 | PD | 3 | 0.08% | 1/3 | Exhausted (PD-1+, LAG-3+) |
| Healthy Donor | N/A | 0 | N/A | N/A | N/A |
*PR: Partial Response, SD: Stable Disease, PD: Progressive Disease.
Visualization
Figure 1. Single-Cell TCR/Transcriptome Tracking Workflow
Figure 2. Antigen-Specific Clone Identification Logic
The Scientist's Toolkit: Research Reagent Solutions
| Item | Function in the Protocol |
|---|---|
| BD Rhapsody Express Single-Cell Analysis System | Core platform for capturing single cells, mRNA, and generating sequencing-ready libraries. |
| BD AbSeq Antibody-Oligo Conjugates (Hashtags) | For multiplexing samples from multiple patients/timepoints within a single cartridge run. |
| BD Rhapsody TCR/BCR Amplification Kit | For target enrichment and generation of full-length, paired TCR sequencing libraries. |
| BD Rhapsody WTA Amplification Kit | For generating whole-transcriptome libraries from the same single cells. |
| Predicted Neoantigen Peptide Pools | Synthetic peptides representing vaccine targets for ex vivo stimulation to identify reactive clones. |
| BD Immortal Analysis Software | Cloud-based pipeline for processing raw sequence data into clonotype calls and gene expression matrices. |
| Flow Cytometry Antibodies (CD3, CD8, PD-1, etc.) | For validation of phenotypic states identified by transcriptomic data via conventional flow cytometry. |
Conclusion This case study validates the BD Rhapsody TCR pipeline as a robust tool for translational immunology. By integrating full-length clonotype tracking with single-cell transcriptomics, researchers can precisely monitor the expansion, persistence, and functional state of antigen-specific T cells, delivering actionable insights for clinical trial biomarker development and mechanism-of-action studies.
The BD Rhapsody TCR analysis pipeline represents a powerful, integrated solution for high-resolution, full-length immune repertoire profiling at single-cell resolution. By mastering its foundational technology, methodological workflow, optimization strategies, and understanding its validated performance relative to alternatives, researchers can reliably generate paired-chain TCR data with phenotypic context. This capability is pivotal for decoding adaptive immune responses, identifying predictive biomarkers, and engineering next-generation cell therapies. Future directions will involve greater integration of multimodal data (ATAC, protein), standardized bioinformatic pipelines, and application in longitudinal clinical monitoring to realize the full translational potential of single-cell TCR sequencing.