Immunopeptidomics
Profile HLA- or MHC-bound peptides, identify candidate tumor-associated and non-canonical antigens, prioritize candidate epitopes, and support downstream immunogenicity assessment and TCR-pMHC validation.
Creative Proteomics supports academic, biotechnology, and pharmaceutical R&D with peptide-focused LC-MS/MS workflows spanning endogenous peptide discovery, HLA immunopeptidomics, neuropeptidomics, peptide characterization, quantitative peptidomics, and therapeutic peptide bioanalysis.
Access dedicated workflows for antigen presentation, neuropeptide biology, endogenous peptide discovery, and quantitative bioanalysis, supported by complementary characterization and application-focused services.
Profile HLA- or MHC-bound peptides, identify candidate tumor-associated and non-canonical antigens, prioritize candidate epitopes, and support downstream immunogenicity assessment and TCR-pMHC validation.
Characterize neuropeptide diversity across tissues, biofluids, and model systems using untargeted profiling, spatially resolved analysis, single-cell peptidomics, CNS biomarker workflows, and targeted quantification.
Discover endogenous and bioactive peptides across biological samples, proteolytic products, natural products, and venoms, with dedicated spatial and single-cell peptidomics workflows.
Support comparative and targeted studies with relative quantification, PRM/MRM, absolute quantification, biomarker validation, peptide hormone panels, and therapeutic peptide PK/PD or ADME bioanalysis.
Choose the route that best matches your biological question, analytical objective, or quantitative endpoint.
Untargeted endogenous peptide discovery, shotgun peptidomics, sample-specific peptide profiling, and biomarker-oriented discovery.
Peptide Discovery ServicesHLA ligandome profiling, MHC-binding peptide screening, neoantigen discovery, and downstream antigen validation.
HLA PeptidomicsUntargeted neuropeptide profiling, CNS biomarker discovery, spatially resolved analysis, single-cell peptidomics, and functional or dynamic studies.
NeuropeptidomicsSequence determination, molecular mass, amino acid composition, purity, PTMs, disulfide bonds, secondary structure, and interaction analysis.
Peptide CharacterizationRelative quantification by label-free or DIA workflows, absolute quantification, PRM/MRM assays, and biomarker validation.
Quantification & BioanalysisPeptide drug discovery, disease-mechanism studies, and applied research in food, nutrition, and cosmetic peptides.
Research SolutionsCombine untargeted discovery, sequence and PTM characterization, relative and targeted quantification, and bioinformatics within a study-specific analytical strategy.
Explore dedicated services for HLA ligandome profiling, spatial and single-cell neuropeptidomics, DIA-based quantification, degradomics and terminomics, biofluid peptidomics, and therapeutic peptide bioanalysis.
HLA ligandome profiling, antigen discovery, candidate prioritization, and downstream validation for immunology and oncology research.
Map neuropeptide distributions across anatomical regions and characterize peptide heterogeneity in individual cells, complementing bulk measurements.
Apply data-independent acquisition for systematic peptide sampling and consistent relative quantification across comparative studies and larger sample sets.
Map proteolytic cleavage sites, peptide termini, and protease-substrate relationships to investigate protease activity and processing mechanisms.
Profile circulating peptides with controlled preanalytical handling, discovery workflows, and targeted follow-up for biomarker studies.
Support therapeutic peptide programs with quantitative bioanalysis for exposure assessment, PK/PD studies, metabolic stability, and ADME characterization.
Projects progress from a defined research question and sample context through peptide-specific preparation, mass spectrometric acquisition, quality control, and data interpretation.
Start with the biological question, sample matrix, comparison structure, and the level of identification or quantitative evidence needed to support the study objective.
Clarify the biological question, intended comparison, and downstream use of the data.
Review matrix, cohort structure, abundance range, modifications, and confidence requirements.
Align scope, sample requirements, controls, endpoints, and reporting expectations.
Match the acquisition and analysis route to the question: broad discovery, sequence or PTM characterization, comparative profiling, or targeted quantitative measurement.
Define coverage, sensitivity, selectivity, throughput, and quantitative performance needs.
Select DDA, DIA, PRM, MRM, de novo sequencing, or complementary characterization methods.
Document the selected platform, method sequence, controls, and decision criteria.
Control degradation, adsorption, matrix interference, and recovery before acquisition, with preparation steps tailored to the sample type and target peptide population.
Review collection, stabilization, storage, freeze-thaw history, volume, and expected concentration.
Plan protease control, cleanup, fractionation, depletion, enrichment, and recovery monitoring.
Define processing order, controls, acceptance checkpoints, and sample allocation.
Use an acquisition method suited to the required coverage or quantitative endpoint, supported by system suitability, blanks, pooled controls, standards, and replicate design as appropriate.
Confirm sample integrity, concentration, injection order, standards, blanks, and pooled QC material.
Set chromatography, ionization, mass range, fragmentation, acquisition mode, and replicate strategy.
Generate raw data with run metadata, system-suitability results, and acquisition QC records.
Apply transparent identification or quantitative criteria, evaluate technical quality, and organize peptide-level evidence around the original research question.
Integrate acquisition files, sample annotations, sequence resources, standards, and study design.
Set identification thresholds, normalization, statistics, annotation, and exception handling.
Receive results, QC summaries, figures, annotations, and project-specific interpretation.
Apply peptide-level evidence to drug discovery, disease biology, and applied research in food, nutrition, and cosmetic peptides.
Use peptidomics and peptide bioanalysis to support candidate discovery, therapeutic peptide characterization, PK/PD or ADME studies, and emerging peptide modalities.
Investigate how peptide changes and proteolytic processing relate to disease mechanisms and biological pathways.
Characterize bioactive peptides, fermentation-derived peptides, and peptide ingredients in application-focused R&D.
Peptide measurements are sensitive to preanalytical handling, proteolysis, adsorption, matrix effects, abundance, and sequence or modification state. These variables should be considered from the start of study design.
Workflow selection begins with sample type, peptide biology, expected abundance, required evidence, and downstream use of the data.
Discovery, sequencing, structural characterization, DIA, targeted quantification and bioinformatics can be combined when appropriate.
QC checkpoints and reporting outputs are planned as part of the workflow rather than added only after data acquisition.
Project planning can address feasibility, sample requirements, analytical strategy, and interpretation before and after data acquisition.
Explore guides, method comparisons, and experimental-design resources covering sample handling, workflow selection, quantitative strategies, and interpretation of peptide-level data.
Peptidomics Guides & InfographicsShare your research question, sample type, and intended comparison. We can help identify an analytical route suited to your study.
Discuss Feasibility →Tell us what you need to discover, characterize, or quantify. We can discuss sample requirements, analytical strategy, and the workflow best suited to your study.