Peptidomics - Creative Proteomics
Antigen Discovery and TCR-pMHC Interaction Validation: Immunopeptidomics, TCR Sequencing, and Binding Kinetics

Why Connect Antigen Discovery with T Cell Response Analysis?

In modern cellular immunity research, no single technology fully explains antigen-specific T cell responses. While advanced mass spectrometry can identify thousands of naturally presented peptides on the cell surface, it provides no information about which of these peptides actually trigger a T cell response. Conversely, T cell receptor (TCR) sequencing expertly profiles clonal expansion and repertoire diversity, but a TCR sequence alone does not directly reveal its target antigen identity.

To build a stronger case for antigen-specific T cell immunity, researchers need an integrated workflow that connects antigen presentation, clonotype dynamics, and downstream validation. This integrated approach reduces reliance on purely predictive assumptions and helps prioritize biologically relevant candidates for downstream development.

Immunopeptidomics for Naturally Presented Antigen Discovery

The foundation of the workflow is our immunopeptidomics service, which directly sequences the peptides physically eluted from HLA molecules. By utilizing HLA peptidomics analysis, we provide direct, physical proof of which antigens are naturally processed and presented on the cell surface. To accommodate diverse sample types and research scales, we utilize multiple state-of-the-art mass spectrometry platforms.

Antigen Discovery Mass Spectrometry Platforms

Parameter Orbitrap Series (e.g., Astral, Exploris 480) timsTOF Series (Pro/HT with PASEF)
Primary Strength Deep, high-resolution profiling Ultra-high sensitivity and speed
Mass Resolution Ultra-high (sub-ppm mass accuracy) High (enhanced by ion mobility separation)
Sample Input Flexibility Ideal for standard to large tissue/cell inputs Exceptional for low-input or limited clinical samples
Throughput High Ultra-high
Best Fit For Comprehensive immunopeptidome mapping High-throughput, sensitivity-constrained profiling

TCR Sequencing for Immune Repertoire Profiling and Clonotype Tracking

To understand the immune effector side, TCR sequencing profiles the diversity and expansion of T cells. We offer flexible options supporting both bulk TCR repertoire profiling (profiling alpha and beta chains across a population) and single-cell immune profiling (scTCR-seq combined with scRNA-seq). This tracks which specific T cell clones are expanding in response to a disease state, vaccination, or immunotherapy treatment.

TCR-pMHC Interaction Validation via SPR and BLI Binding Assays

Identifying a peptide and a reactive T cell clone is powerful, but confirming their exact physical interaction requires downstream validation. We rely primarily on Surface Plasmon Resonance (SPR) to deliver high-precision kinetic data (KD, kon, koff) for highly selected "lead" TCR-pMHC pairs. While SPR is our gold standard for absolute kinetic quantification, we can also supplement with Bio-Layer Interferometry (BLI) for broader immunopeptide affinity screening.

Because TCR-pMHC interactions are often weak and technically challenging, SPR/BLI is typically reserved for highly prioritized candidates with suitable reagent quality and assay feasibility. Where appropriate, orthogonal validation strategies such as peptide-HLA stabilization assays, tetramer staining, or cell-based functional assays may also be recommended.

Key Applications in Immuno-Oncology, Neoantigen, and Vaccine Research

This integrated solution is designed with a balanced approach, providing equal utility for both immuno-oncology and infectious disease research:

Tumor Antigen Studies
Tumor Antigen Studies
Accelerate tumor neoantigen discovery and validation services by confirming that mutant peptides are not only presented by tumor cells but are also recognized by circulating or tumor-infiltrating lymphocytes (TILs).
Vaccine Epitope Discovery
Vaccine Epitope Discovery
Map the presented viral or bacterial epitopes and confirm they engage specific T cell clonotypes, providing a rational basis for next-generation vaccine design.
Autoimmune Disease Research
Autoimmune Disease Research
Track autoreactive T cell clones and validate their cross-reactivity or specific binding affinity to self-antigens.
T Cell Therapy Development
T Cell Therapy Development
Identify the exact antigen targets of orphan TCRs discovered in patient repertoires, enabling the engineering of targeted TCR-T cell therapies.

End-to-End Workflow: From Antigen Discovery to TCR-pMHC Validation

Bridging multiple complex omics platforms requires sophisticated coordination. Our integrated workflow seamlessly moves your project from initial discovery to final confirmation.

Sample Intake
Matched pairs
Parallel Omics
MS & TCR sequencing
Data Integration
Prioritizing candidate pairs
Reagent Synthesis
Peptides & target molecules
Validation
Receptor-level kinetics
1
Project Strategy & Sample Intake
We highly recommend using matched sample pairs (e.g., tumor tissue for HLA peptides and matched PBMCs for TCR tracking) to maximize biological relevance, though independent cohorts are accepted.
2
Parallel Omics Discovery
Simultaneous execution of immune peptide mass spectrometry analysis and TCR sequencing on the respective sample aliquots.
3
Data Integration & Prioritization
Our bioinformaticians synthesize the data, applying database-supported annotation, HLA-aware prioritization, and structural or motif-based modeling to generate a ranked shortlist of likely peptide–TCR hypotheses for downstream testing. Advanced projects may also incorporate neoantigen discovery by proteogenomics services.
4
Reagent Synthesis
Custom internal production of the selected candidate peptides, target MHC molecules, and soluble TCR constructs.
5
Receptor-Level Validation
High-precision kinetic analysis using SPR to confirm the physical binding affinity and stability of the candidate interactions.

Our Integrated Antigen Discovery and TCR Profiling Services

Antigen Discovery by Immunopeptidomics
Deep sequencing of HLA-presented peptides using advanced MS platforms tailored to your sample input.
TCR Clonotype Tracking by Sequencing
High-resolution bulk or single-cell TCR profiling to monitor clonal expansion and diversity.
Candidate Antigen Interpretation
Bioinformatic correlation between identified peptides and TCR repertoires to formulate target hypotheses.
TCR-pMHC Validation Planning
Strategic selection of lead candidate pairs for rigorous biophysical interaction testing.
Workflow Design Across Platforms
Expert consultation to ensure sample compatibility, data harmonization, and logical progression from discovery to validation.
Optional Prioritization for Follow-Up Studies
Application of our neoantigen prediction and prioritization algorithms to refine large datasets into actionable leads.

Mass Spectrometry and SPR Platforms for Immune Profiling

By managing the entire pipeline under one roof, we eliminate the variability and data-loss risks associated with using disjointed vendors for mass spectrometry, genomics, and structural biology.

  • Comprehensive Bioinformatic Integration: We do not simply hand over isolated datasets. We perform comprehensive integration using public databases (e.g., VDJdb, IEDB), advanced structural predictions, and clonal frequency metrics to rank probable TCR-peptide associations.
  • End-to-End Reagent Sourcing: For the physical validation phase, you do not need to source complex reagents. We provide end-to-end synthesis and expression, generating the required high-purity peptides, recombinant MHC complexes, and soluble TCRs entirely in-house.
  • Targeted High-Precision Validation: Rather than wasting resources on massive, low-confidence screening, we strategically filter the data to select highly promising "lead" pairs for low-throughput, high-precision kinetic validation.

Multi-Omics Workflow vs. Single-Platform Analysis

Dimension Immunopeptidomics Alone TCR Sequencing Alone Interaction Validation Alone Integrated Workflow
Question Answered What is presented on the cell surface? Which T cells are expanding? How strongly does this TCR bind this pMHC? Which presented peptides drive specific T cell expansion?
Primary Output Peptide sequences Clonotype frequencies Binding kinetics (KD) Verified, functional TCR-pMHC targets
Evidence Depth Antigen presentation Effector response Physical biochemistry Complete immunological loop
Strengths Direct evidence of processing Captures systemic response Definitive proof of binding Bridges discovery to biological mechanism
Limitations Cannot prove T cell reactivity Cannot identify the target antigen Requires prior knowledge of the pair Requires complex coordination and bioinformatics
Best-Fit Stage Early discovery Immune monitoring Late-stage preclinical End-to-end translational research

Sample Requirements for Immunopeptidomics and TCR Sequencing

Workflow Stage Recommended Sample Type Minimum Input / Quality Considerations Preferred Format Key Notes
Antigen Discovery Tumor tissue, cell pellets, matched healthy tissue Project-specific depending on tissue type and HLA abundance Snap-frozen (highly preferred) Sample suitability review available before project initiation. Avoid fixatives.
TCR Tracking PBMCs, TILs, sorted T cells Sufficient viable cells or high-quality RNA/DNA Fresh, cryopreserved, or extracted nucleic acids Bulk TCR and scTCR have distinct viability requirements. Matched samples to discovery input are highly recommended.
Interaction Validation Sequence data only (TCR alpha/beta, Peptide, HLA allele) High-confidence sequences from discovery phase Digital sequence data We synthesize physical reagents in vitro. Feasibility assessment required prior to recombinant expression.

Example Data for Peptide Discovery and TCR Validation

Our final deliverables provide publication-ready visualizations that clearly communicate the journey from multi-omics discovery to biophysical validation.

Antigen Source Annotation Summary

Chart displaying the distribution of identified HLA-presented peptides by their biological source proteins.

Summary of naturally presented peptides identified via MS-based immunopeptidomics, categorized by their source protein origins to highlight targetable disease-associated antigens.

TCR Clonotype Tracking Visualization

Treemap visualization showing the frequency and expansion of specific TCR clonotypes from sequencing data.

High-resolution TCR sequencing profiling reveals the selective expansion of specific T cell clonotypes, indicating a focused, antigen-driven immune response.

Integrated Interpretation Map

Network graph linking identified candidate peptides to specific expanded TCR clonotypes.

Comprehensive bioinformatic integration correlating identified presented peptides with expanded TCR clonotypes, establishing highly probable targets for downstream validation.

Receptor-Level Interaction Validation

SPR sensorgram displaying real-time kinetic binding curves for a validated TCR-pMHC interaction.

High-precision SPR kinetic validation of a lead candidate pair, confirming the physical binding affinity and stability of the TCR-pMHC interaction.

Deliverables for the Integrated Antigen and TCR Workflow

Because this is an integrated service, you will receive staged data packages culminating in a comprehensive final report:

  • Immunopeptidomics Report: Complete list of naturally presented peptides with confidence scores, source protein annotations, and HLA restriction motifs.
  • TCR Repertoire Report: Diversity metrics, V(D)J usage, and identification of significantly expanded clonotypes.
  • Bioinformatic Integration Report: Cross-referencing of peptide and TCR data utilizing public databases and structural predictions to prioritize top interaction candidates.
  • Interaction Validation Data: If the downstream module is selected, raw SPR sensorgrams and calculated kinetic constants (KD, kon, koff) for the selected lead TCR-pMHC pairs.
  • Executive Summary: A synthesized research conclusion linking the discovery, tracking, and validation phases into actionable insights for your therapeutic or vaccine pipeline.

Frequently Asked Questions

Is HLA typing required for this workflow? +
Yes, accurate high-resolution HLA typing is critical. The discovery phase relies on knowing the restriction alleles, and downstream predictive mapping and pMHC synthesis require exact allele information. We can perform HLA typing if it has not been previously determined for your samples.
What matched sample types are recommended? +
To maximize biological relevance, we strongly recommend matched pairs from the same donor. Ideal combinations include tumor tissue (for MS) paired with matched PBMCs or TILs (for TCR sequencing).
What sample input is required for each module? +
Input varies significantly by module. Immunopeptidomics generally requires substantial tissue mass or cell counts (often >1x10⁷ cells), while TCR sequencing requires high-quality RNA/DNA or viable cells. A full sample suitability review is conducted before project initiation.
Can FFPE, frozen tissue, or archived PBMC samples be used? +
Snap-frozen tissue is highly preferred for immunopeptidomics. FFPE tissues are generally not suitable for HLA peptide elution due to cross-linking. Cryopreserved or archived PBMCs are standard and highly suitable for TCR repertoire profiling.
How are peptide–TCR links prioritized, and what level of confidence can be expected? +
We generate a ranked shortlist by combining sequence matching against curated databases (e.g., VDJdb), structural/motif-based prediction algorithms, and biological filters like clonal expansion frequency. This provides a strong hypothesis, but physical or cellular validation is always required for absolute confirmation.
Does SPR/BLI binding confirm T cell function? +
No. SPR and BLI confirm the physical binding affinity and kinetics between a TCR and a pMHC complex. While stable binding is a prerequisite for recognition, it does not perfectly predict cellular activation, cytokine release, or cytotoxicity. Functional cell-based assays are required to confirm true biological activation.
When should I choose bulk TCR-seq versus single-cell TCR profiling? +
Bulk TCR sequencing is highly cost-effective for deep, broad profiling of the entire repertoire and tracking clonal frequencies over time. Single-cell TCR profiling (scTCR-seq) is recommended when you need exact paired alpha/beta chain information, which is necessary if you plan to synthesize and express the TCR for downstream validation or therapeutic engineering.
What outputs are provided if only part of the workflow is needed? +
The solution is highly modular. If you only require antigen discovery and TCR tracking, we provide the parallel omics datasets and the predictive integration report. Downstream physical validation can be added or omitted based on your current project phase.

Representative Literature Example Supporting the Antigen-Discovery-to-Immune-Follow-Up Workflow

Journal: Frontiers in Immunology

Published: 2025


Summary

Using MHC-associated peptide proteomics (MAPPs), researchers identified naturally presented AAV9 capsid peptides and then evaluated whether these peptides could drive measurable T cell responses in human donor PBMCs. Rather than relying only on overlapping peptide libraries, the study focused on peptides that were actually presented on HLA molecules, creating a more biologically relevant route for epitope discovery. By combining immunopeptidomics-derived peptide selection with downstream immune stimulation assays, the authors identified multiple immunodominant CD8 T cell epitopes of the AAV9 capsid, including several previously unreported epitopes. This example study illustrates how naturally presented peptides can guide downstream immune response mapping and candidate validation.


Methods

This study used an integrated antigen-to-response workflow centered on naturally presented peptide discovery.

Researchers first used MAPPs to define the HLA-presented peptide repertoire of the AAV9 capsid. They then compared two peptide strategies for downstream immune testing: conventional overlapping peptide pools and MAPPs-derived peptide pools. Because direct ex vivo detection of capsid-specific T cells in healthy donor PBMCs showed very low sensitivity, the team introduced an in vitro PBMC expansion step before FluoroSpot restimulation assays.

To identify immunodominant CD8 epitopes in greater detail, the HLA Class I MAPPs-derived peptides were further deconvoluted and tested across a donor cohort enriched for predicted binding alleles. Binding assays were then used to confirm whether selected novel epitopes bound stably to their predicted HLA alleles.


Key Technical Features

Sample types: Healthy donor PBMCs, including seropositive and seronegative donors for AAV9

Antigen discovery: MHC-associated peptide proteomics (MAPPs) to identify naturally presented AAV9 capsid peptides

Immune follow-up: PBMC expansion followed by IFN-γ FluoroSpot restimulation assays

Comparison strategy: Overlapping peptide pools versus MAPPs-derived peptide pools

Epitope deconvolution: Screening of 41 HLA Class I MAPPs peptides in matrix pools across 24 healthy donors

Validation: Binding assays to confirm stable interaction of selected epitopes with predicted HLA alleles

Biological insight: Naturally presented MAPPs peptides and overlapping peptides expanded largely distinct T cell populations


Creative Proteomics can offer integrated discovery and follow-up services that support similar research pipelines, including:

  • HLA immunopeptidomics for naturally presented antigen discovery
  • Peptide pool design and epitope deconvolution strategies
  • T cell response profiling using donor PBMC-based functional assays
  • TCR repertoire tracking to monitor responsive clonotype expansion
  • Peptide–HLA binding validation and downstream interaction analysis
  • Integrated interpretation linking presented peptides to immune response prioritization

These services support viral epitope discovery, gene therapy immunogenicity assessment, vaccine target screening, and broader antigen-specific T cell research.


Results

Naturally Presented Peptides Outperformed Generic Peptide Assumptions
The study showed that conventional overlapping peptides and MAPPs-derived peptides did not stimulate the same T cell populations. PBMCs expanded with overlapping peptides responded poorly to MAPPs-derived peptides, while PBMCs expanded with MAPPs-derived peptides responded preferentially to the MAPPs pools. This indicated that naturally presented peptides can reveal antigen-specific responses that are not captured well by standard overlapping peptide designs.

MAPPs-Derived Responses Were Dominated by CD8 T Cells
When donor PBMCs were expanded with the MAPPs-derived capsid peptides, the immune response was dominated by HLA Class I-derived peptides, consistent with a capsid-specific CD8 T cell response. The authors further confirmed this trend through CD4 depletion experiments, supporting the use of naturally presented class I peptides for identifying cytotoxic T cell-relevant targets.

Novel Immunodominant Epitopes Were Identified
By screening 41 HLA Class I MAPPs peptides in 13 matrix pools across 24 healthy donors, the researchers identified 10 epitopes that elicited IFN-γ release in at least one donor. Notably, 9 of these 10 epitopes were novel, and the identified peptides ranged from 9 to 13 amino acids in length.

Binding Validation Strengthened Candidate Confidence
The study reported that the newly identified epitopes displayed strong binding to their predicted HLA alleles, and binding assays confirmed stable interaction for several of the novel candidates. This added an extra validation layer beyond peptide discovery and T cell activation alone.

Epitope screening matrix plot showing IFN-γ responses to naturally presented AAV9 capsid peptides across multiple donors.

Matrix-based screening of HLA class I peptides derived from immunopeptidomics reveals immunodominant AAV9 capsid epitopes capable of inducing IFN-γ responses in donor PBMCs.


Reference

  1. Balasubramanian, Akhila, et al. "Epitope mapping using immunopeptidomics reveals novel immunodominant CD8 T cell epitopes of the AAV9 capsid." Frontiers in Immunology (2025). https://doi.org/10.3389/fimmu.2025.1641289

For Research Use Only. Not for use in diagnostic or clinical procedures.

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