Pre-Isolated EV Identification
Choose this route when You already have pre-isolated EVs, EV protein lysate, or prepared peptides and need discovery-stage protein identification.
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EV Proteomics by LC-MS/MS
Exosome / Extracellular Vesicle Proteomics Service
Profile EV-associated proteins, compare protein abundance across defined groups, and prioritize discovery-stage candidates using LC-MS/MS proteomics.
MtoZ Biolabs supports EV proteomics projects from sample and EV preparation review through LC-MS/MS protein identification, quantitative analysis, data interpretation, and reporting.
- Start from source material, pre-isolated EVs, EV protein lysate, or prepared peptides.
- Select protein identification or comparative quantitative proteomics according to the sample status and study design.
- Review selected candidate proteins for PRM-based targeted MS, western blotting, or ELISA follow-up when technically suitable.
EV PreparationProtein IdentificationQuantitative Proteomics
Research Experience
Supporting EV Proteomics Projects for Academic and Industry Research Teams
Project routes are configured according to sample status, study design, available material, and expected output.
When This Service Is a Good Fit
Use this service for EV protein profiling, group comparison, or integrated workflows from source material or pre-isolated EVs to LC-MS/MS.
EV Protein Identification
Profile proteins from pre-isolated EV preparations for discovery-stage research.
Comparative EV Proteomics
Compare EV-associated protein abundance across disease, treatment, time-point, or model groups.
Source Material to Proteomics
Integrate EV isolation, enrichment, or purification with downstream protein analysis.
Biofluid or Low-Input Projects
Review plasma, serum, urine, CSF, or limited-input samples before LC-MS/MS planning.
Cell Culture EV Studies
Assess EV-associated protein changes in conditioned media across defined experimental conditions.
Uncertain EV Purity or Incomplete QC
Review pre-isolated EVs when purity, particle data, marker evidence, or preparation history is incomplete.
Choose the Right Exosome / EV Proteomics Workflow
Choose a workflow based on whether EV preparation is required and whether the project goal is protein identification or quantitative comparison.
Not sure which route fits? Select “Not sure — recommend a workflow” in the project form and provide your sample status, group design, and expected output.
Integrated EV Isolation and Identification
Choose this route when Your project starts with biofluids or conditioned media and requires EV preparation before protein identification.
Click to preview →Pre-Isolated EV Quantitative Proteomics
Choose this route when You have pre-isolated EV preparations from defined study groups and need quantitative comparison of EV-associated proteins.
Click to preview →Integrated EV Isolation and Quantitative Proteomics
Choose this route when Your project starts with grouped source materials and requires matched EV preparation before quantitative proteomics comparison.
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Workflow preview
Isolated EV Protein Identification
Start from pre-isolated EVs, EV protein lysate, or prepared peptides for discovery-scale LC-MS/MS protein identification.
Exosome / EV Proteomics Workflow
The service path from project review and EV preparation to LC-MS/MS acquisition, data analysis, and reporting.
Project Review
Confirm sample status, study design, input, and expected output.
EV Preparation & Characterization
Perform or review applicable EV preparation and characterization modules.
Protein Extraction & Digestion
Prepare EV proteins or peptides for bottom-up proteomics when required.
LC-MS/MS Acquisition
Acquire identification or quantitative proteomics data.
Data Analysis
Perform workflow-matched QC, identification, quantification, and annotation.
Results & Reporting
Deliver scope-defined data, figures, files, and reporting.
The EV preparation, characterization, and quantitative workflow is configured according to sample status and project goals.
What to Send Us
Recommended input is shown separately for quantitative proteomics and EV characterization and may be adjusted according to sample preparation status and project design.
| Sample Type | Quantitative Proteomics | EV Characterization Package |
|---|---|---|
| Cell Culture-Conditioned Medium | 50 mL | 50–100 mL |
| Plasma or Serum | 1 mL | 3 mL |
| Urine | 50 mL | 50–100 mL |
| Cerebrospinal Fluid (CSF) | 2 mL | 5 mL |
| Pre-Isolated EVs / Exosomes | Evaluated based on EV purity, integrity, total protein amount, and buffer composition | Evaluated based on particle concentration, sample purity, buffer composition, and available volume |
| EV Protein Lysate or Prepared Peptides | Evaluated based on protein or peptide amount, concentration, and mass spectrometry compatibility | Not suitable for NTA or morphological assessment. Intact EV samples are required for EV characterization. |
Limited Sample Input?
CSF, low-input samples, pre-isolated EV preparations, or samples with incomplete QC should be reviewed before submission to determine whether a pilot-scale assessment is needed. Store samples at −80°C, ship on dry ice, and avoid hemolysis, contamination, and repeated freeze–thaw cycles.
Results & Deliverables
Deliverables are configured according to the selected EV proteomics workflow, study design, and approved analysis scope.
EV Characterization
NTA particle-size and concentration data, EV marker western blot results, and TEM or cryo-EM images.
Protein Identification
Protein identification tables with accession, annotation, and identification metrics.
Protein Quantification
Protein abundance matrices generated using the selected quantitative strategy.
Differential Analysis
Group-comparison results, statistical metrics, and standard visualizations when supported by the study design.
Functional & Candidate Analysis
GO and KEGG annotation, PPI analysis, and candidate protein prioritization.
Data Files & Report
Method summary, QC records, scope-defined data files, and a final project report.
Platform & Capabilities
Project-specific EV preparation, LC-MS/MS proteomics, QC review, and transparent data delivery.
Project Support
Start Project Review
From Sample Review to Result Interpretation
Each project is reviewed according to the source material, EV preparation status, study design, available input, and expected output.
Sample Review
Plasma, serum, urine, CSF, conditioned media, pre-isolated EVs, lysate, or peptides.
EV Preparation
Ultracentrifugation, density gradient, SEC, precipitation, filtration, affinity capture, or microfluidic routes.
EV QC Options
NTA particle-size and concentration analysis, western blotting for CD9 / CD63 / CD81, and TEM or cryo-EM morphology assessment.
Quantitation
Label-free, TMT/iTRAQ, or DIA selected according to sample number and comparison goal.
Data Analysis
Differential analysis, visualization, GO / KEGG annotation, PPI analysis, and candidate review when included in the approved project scope.
Representative Platforms
LC-MS/MS Systems Used for EV Proteomics
Orbitrap Exploris 480
High-resolution proteomics acquisition
timsTOF Pro
Ion-mobility-enabled proteomics acquisition
Orbitrap Astral
High-throughput proteomics acquisition
EV Isolation & PurificationNTAEV Marker WBLabel-FreeTMT / iTRAQDIAGO / KEGG / PPIPRM / WB / ELISA Follow-Up
Applications of Exosome / EV Proteomics
EV proteomics can support protein identification, comparative analysis, and candidate prioritization across defined research settings.
Disease and Control Cohort Comparisons
Compare EV protein profiles between disease and control cohorts or other defined biological groups.
Treatment Response Studies
Evaluate EV protein changes following drug treatment, stimulation, or other experimental interventions.
Time-Course Studies
Track EV proteome changes across time points, biological stages, or treatment phases.
Cell Culture EV Studies
Profile EV-associated proteins from conditioned media across cell lines, models, or experimental conditions.
Biofluid EV Profiling
Characterize EV protein cargo from plasma, serum, urine, or CSF after sample-specific feasibility review.
Candidate Protein Prioritization
Prioritize discovery-stage candidate proteins for biological interpretation and project-specific follow-up planning when included in the approved analysis scope.
FAQs
Frequently asked questions about Exosome / Extracellular Vesicle Proteomics.
MtoZ Biolabs supports EV proteomics projects using plasma, serum, urine, cerebrospinal fluid, conditioned media, and pre-isolated EV preparations. These are common sample categories rather than the complete service scope. Other matrices, prepared EV fractions, or specially processed samples may be reviewed according to sample status, available input, matrix background, and study design.
Yes. Share the isolation method, buffer, storage history, available input, and any NTA, marker, or morphology data so purity and LC-MS/MS compatibility can be reviewed.
The listed amounts are planning references rather than universal minimums. Share the available amount, sample type, preparation status, study design, and expected output so feasibility and the need for a pilot-scale assessment can be reviewed.
Samples are generally recommended to be stored at −80°C and shipped on dry ice. Hemolysis, contamination, repeated freeze–thaw cycles, incompatible buffers, and prolonged processing delays may affect EV preparation quality and LC-MS/MS results.
Yes. Available routes include ultracentrifugation, density-gradient separation, size-exclusion chromatography, precipitation, filtration, affinity capture, and microfluidic approaches. The preparation route is selected according to sample type, available input, EV preparation status, and project goals.
Available modules include NTA particle-size and concentration analysis, TEM or cryo-EM morphology assessment, and western blotting for EV markers such as CD9, CD63, and CD81. The selected combination depends on sample type, EV preparation status, available input, and project scope.
Label-free, TMT/iTRAQ, and DIA-based quantitative proteomics are supported. Selection depends on sample number, group design, input, and comparison objective.
Proteome coverage is project-dependent and is influenced by EV purity, matrix background, input, preparation method, and LC-MS/MS strategy. A fixed identification count is not used as a universal service promise.
PRM-based targeted MS, western blotting, or ELISA may be considered for selected candidate proteins. MRM and other validation routes require project-specific feasibility evaluation.