Discover and compare proteins
Use broad identification and quantitative comparison to find proteins and pathways associated with a treatment, phenotype or disease state.
Discovery ProteomicsBuild a mass spectrometry workflow around the decision your program needs to make. Creative Proteomics provides discovery proteomics, DIA quantitative proteomics, 4D proteomics, phosphoproteomics, immunopeptidomics and targeted verification—from feasibility assessment through data interpretation.
Discovery, cohort comparison, signaling, antigen presentation or target verification.
Matrix, amount, cohort size, groups, preparation needs and technical constraints.
DDA, DIA, ion-mobility-enabled 4D, enrichment, PRM or SRM/MRM.
Quantification, statistics, pathways, figures, raw data and targeted follow-up.
Start with the decision your study needs to support: discover regulated proteins, quantify a cohort, resolve a difficult sample, study signaling or verify a shortlist. Creative Proteomics will match that objective with an appropriate proteomics workflow.
Use broad identification and quantitative comparison to find proteins and pathways associated with a treatment, phenotype or disease state.
Discovery ProteomicsCharacterize complex samples when broad protein identification is the primary objective and quantitative comparison is not the only endpoint.
Large-Scale Protein IdentificationUse data-independent acquisition when consistent peptide and protein quantification across multiple samples is central to the study.
DIA Quantitative ProteomicsAdd ion mobility when sample amount, matrix complexity or the desired depth makes another separation dimension valuable.
4D ProteomicsEnrich and profile phosphorylation or other post-translational modifications to investigate regulatory changes beyond total protein abundance.
PhosphoproteomicsCharacterize MHC-associated peptides for antigen presentation, neoantigen research and immunology programs.
ImmunopeptidomicsMove from a discovery shortlist to focused peptide or protein measurement with PRM, SRM/MRM or combined DIA-to-PRM strategies.
Targeted ProteomicsA method should be selected after the biological objective, sample constraints and required output are clear. The table below provides a practical starting point for project discussions.
| Primary need | Recommended starting point | Best suited to | Next step |
|---|---|---|---|
| Broad protein discovery | Discovery proteomics | Protein identification, differential comparison and pathway generation when targets are not predefined. | Explore DPro |
| Large-scale protein identification | Qualitative discovery workflow | Complex samples where broad protein identification and characterization are the primary objectives. | Explore Protein ID |
| Consistent cohort quantification | DIA quantitative proteomics | Multi-sample studies that prioritize quantitative completeness and comparability. | Explore DIA |
| Low-input or complex material | 4D-DIA or 4D label-free | Studies where ion mobility can improve separation for demanding sample conditions. | Explore 4D-DIA |
| Protein regulation and signaling | Phosphoproteomics or PTM profiling | Kinase signaling, treatment response and modification-site analysis. | Explore PTMs |
| Presented antigen discovery | Immunopeptidomics | MHC-I or MHC-II peptide profiling and neoantigen-oriented research. | Explore Immunopeptidomics |
| Shortlist verification | PRM or SRM/MRM | Focused relative or absolute measurement of predefined proteins or peptides. | Explore PRM |
Sample suitability and deliverables are confirmed during technical review. This avoids selecting a method before the matrix, available input and downstream use of the data are understood.
Creative Proteomics can assess diverse biological matrices for proteomics analysis. Difficult or limited samples may require a feasibility review before the main study.
Outputs are defined in the project scope so the dataset can support the intended research or development decision.
For biotechnology, pharmaceutical and research organizations, Creative Proteomics defines each study around its decision points, sample flow, quality-control checkpoints, analysis outputs and follow-up options.
Review the biological objective, matrix, available amount, sample number, groups and required endpoint.
Assess preparation, measurable depth, quality indicators and analysis settings before scaling.
Apply the agreed workflow, sample sequence, QC logic and reporting structure to the main cohort.
Connect quantitative results to pathways, candidate prioritization and targeted verification options.
The exact protocol is study-specific, but every project should make the same five decisions visible: scope, preparation, acquisition, quality review and interpretation.
Question, groups, sample number, matrix, input and outputs.
Extraction, digestion, cleanup, fractionation or enrichment as required.
DDA, DIA, 4D, PTM enrichment or targeted acquisition.
Check sample, run and dataset-level quality indicators.
Statistics, functional context, figures and candidate prioritization.
Method selection should follow the research phase and the evidence required—from early mechanism work to biomarker prioritization and targeted verification.
Compare treatment groups, map affected pathways and generate protein candidates associated with pharmacology or toxicity.
Explore the solution → TRANSLATIONALProfile tissues or biofluids, evaluate group differences and prioritize candidates for follow-up measurement.
Explore the solution → IMMUNOLOGYInvestigate MHC-associated peptides and connect immunopeptidomic findings with therapeutic research questions.
Explore the solution → BIOPROCESSUse proteomic profiles to compare cell states, process conditions or host-cell-related protein patterns.
Explore the solution →Creative Proteomics supports proteomics projects for research teams across academic medicine, healthcare and biotechnology.
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These are the practical questions that determine method fit, scope, timing and deliverables. A technical discussion can then focus on the details unique to your study.
Prepare a Project InquiryChoose discovery proteomics for broad protein identification and group comparison, DIA for consistent quantification across larger cohorts, 4D proteomics when ion mobility can help with limited or complex samples, and PRM or SRM/MRM when specific proteins or peptides must be verified.
DIA is a data-independent acquisition strategy for reproducible peptide and protein quantification. 4D-DIA adds ion mobility separation, providing an additional separation dimension that can be useful for complex matrices, low-input material or deeper profiling objectives.
Yes. A pilot can be scoped to assess sample preparation, measurable proteome depth, data quality and analysis settings before a larger project is launched.
Provide the biological question, sample type, sample number, available amount, study groups, target proteins if applicable, preferred outputs and desired decision timeline. The workflow can then be matched to the study objective.
Deliverables can include a study and method summary, quality-control results, protein and peptide identification or quantification tables, statistical comparisons, functional enrichment outputs, figures, and raw data or parameter files as defined in the project scope.
The timeline is confirmed after scope review. It depends on sample number, sample preparation, fractionation or enrichment, acquisition strategy, data-analysis depth and any targeted follow-up work.
Share your sample type, sample number, study groups, available amount and desired output. The technical team can recommend a starting workflow for your project.
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