Quantitative Proteomics Services
Quantitative Proteomics Services
What Is Quantitative Proteomics?
Quantitative proteomics is an LC–MS/MS-based proteomics analysis approach designed to measure global protein abundance across diverse samples and conditions. By providing a direct readout of protein expression that complements genomics and transcriptomics, it is widely used to identify differentially expressed proteins and map regulated pathways in biomarker discovery and mechanism studies across oncology, immunology, neuroscience, and metabolic diseases.
MetwareBio offers advanced quantitative proteomics services on high-resolution LC–MS/MS platforms, with flexible DDA or DIA acquisition modes to deliver robust label-free quantification tailored to specific study goals. Beyond standard DDA and DIA workflows, specialized solutions include Blood DIA proteomics for plasma/serum and Low-input DIA proteomics for limited starting material, supporting both pilot studies and large-scale projects in basic and clinical research.
Explore MetwareBio Quantitative Proteomics Services
Why Choose MetwareBio for Quantitative Proteome Profiling
Ultra-Fast Acquisition with TIMS + PASEF
4D LC–MS/MS using TIMS + PASEF increases sequencing speed and sampling efficiency, improving depth and quantitative completeness for quantitative proteome profiling.
High Sensitivity and Deep Proteome Coverage
Optimized preparation and high-resolution detection enable robust identification and label-free quantification (LFQ) of low-abundance proteins across complex matrices.
Flexible Workflows for Diverse Sample Types
Validated workflows support diverse sample types across multiple species, including humans, animals, plants, and microorganisms, delivering robust results from minimal starting material.
Comprehensive, Publication-Ready Deliverables
Publication-ready outputs combine rigorous QC, reliable quantification, and biological interpretation to accelerate decision-making and downstream validation.
Multi-Omics Integration Expertise
Seamless integration of proteomic data with genomics, transcriptomics, and metabolomics for systems-level biological insights.
Standardized Workflow for Quantitative Proteomics
MetwareBio’s quantitative proteomics workflow follows standardized SOPs to ensure consistency, reproducibility, and reliable cross-sample comparison. Quality-controlled samples are processed through optimized protein extraction and tryptic digestion, followed by high-resolution LC–MS/MS acquisition using DDA or DIA to support label-free quantification (LFQ). Data are analyzed with robust pipelines for protein identification, quantitative profiling, QC evaluation, and pathway-level interpretation, delivering publication-ready results for both pilot studies and large-scale projects.
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Sample Shipment
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Protein Extraction
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Trypsin Digestion
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Data Acquisition
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Database Search
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Data Analysis
Quantitative Proteomics Data Analysis and Deliverables
MetwareBio provides end-to-end quantitative proteomics data analysis designed for reliable label-free quantification (LFQ) and clear biological interpretation. Deliverables include curated protein identification and abundance tables, sample-level QC summaries to confirm cross-group consistency, statistically supported differential protein results, and functional interpretation linking protein changes to biological processes and pathways. All outputs are compiled as publication-ready spreadsheets and high-quality figures for reporting, presentations, and downstream validation. Contact Us for Demo
Volcano Plot
Cluster Heatmap
K-means Analysis
GO Enrichment
KEGG Enrichment
COG/KOG Annotation
PPI Network
WPCNA Analysis
Subcellular Localization
Why Quantitative Proteome Profiling Matters
Quantitative proteome profiling provides functional insight into biological systems by capturing precise protein abundance shifts. This approach empowers researchers to map regulatory mechanisms, prioritize therapeutic targets, and translate molecular findings into actionable strategies for precision medicine and biomarker development.
Frequently Asked Questions (FAQs) on Quantitative Proteomics
1. What platform do you use for MS-based quantitative proteomics?
Our quantitative proteomics workflows are powered by the Bruker timsTOF HT platform, which combines TIMS (Trapped Ion Mobility Spectrometry) with PASEF (Parallel Accumulation Serial Fragmentation) to achieve ultra-high sensitivity, resolution, and throughput. It enables 4D proteome analysis with excellent depth and precision.
2. What’s the difference between DIA and DDA in quantitative proteomics?
DIA (Data-Independent Acquisition) fragments all detectable precursor ions in a systematic, unbiased manner, resulting in higher reproducibility, improved quantitation accuracy, and greater coverage across samples. It is ideal for comparative and large-scale studies.
DDA (Data-Dependent Acquisition) selectively fragments the most intense precursor ions, making it effective for exploratory research but more prone to missing low-abundance proteins and variability between runs.
3. DDA vs DIA proteomics: which acquisition mode is better for quantitative proteomics?
DDA (data-dependent acquisition) is ideal for discovery-oriented studies that prioritize broad protein identification and deep proteome coverage, making it a strong option for pilot projects and hypothesis generation. DIA (data-independent acquisition) consistently fragments all peptides within defined m/z windows, delivering higher quantitative completeness, fewer missing values, and better reproducibility across large cohorts. In practice, DDA is often selected for exploratory profiling, while DIA is preferred for robust label-free quantification (LFQ) in large-scale or clinically oriented studies where cross-sample comparability is critical.
4. Do you offer TMT or iTRAQ labeled proteomics?
Currently, we do not offer TMT-labeled or iTRAQ-labeled proteomics. Instead, we specialize in label-free quantitative proteomics, which avoids issues like ratio compression, sample mixing artifacts, and labeling cost. Label-free methods are more flexible for handling large sample sizes and diverse sample types without requiring chemical labeling, while still delivering high-quality quantitative results using advanced mass spectrometry and statistical normalization.
5. Do you remove high-abundance proteins in blood proteomics (plasma/serum)?
Yes. Plasma and serum are dominated by a small set of high-abundance proteins that can mask low-abundance biomarkers and limit LC–MS/MS proteome depth. To improve sensitivity and coverage, Blood DIA includes high-abundance protein reduction using a robust magnetic bead-based workflow that enriches low-abundance proteins with strong reproducibility across cohorts. With this strategy, Blood DIA typically enables identification of 4,000+ proteins from plasma or serum while maintaining consistent label-free quantification.
6. What is the minimum sample amount required for low-input proteomics?
Our Low-Input DIA proteomics workflow is highly optimized for trace samples. We can perform reliable quantitative analysis from as little as 1 mg of tissue, 1 µL of blood, 10 oocytes, or 10,000 mammalian cells, enabling protein profiling even in highly limited experimental scenarios.
7. Do your quantitative proteomics services accept IP-enriched samples or gel-based samples?
Yes. Quantitative proteomics can be performed on IP-enriched eluates as well as gel bands, gel spots, and gel slices. To maximize compatibility and recovery, workflows support on-bead digestion for magnetic bead and in-gel digestion for gel-separated proteins, enabling reliable LC–MS/MS-based proteome profiling from non-standard sample formats.
8. How do you ensure data quality and reproducibility in proteomics analysis?
We implement comprehensive quality control (QC) measures at every stage of the workflow. This includes internal standards such as iRT peptides, reference samples like HeLa cell lysate, and mixed peptide/protein QC pools. These controls help monitor system performance, retention time alignment, and quantification consistency to ensure reliable, reproducible results across batches and projects.
9. How should proteomics samples be prepared, stored, and shipped for quantitative LC–MS/MS analysis?
For best quantitative proteomics performance, samples should be collected using clean, protein-compatible reagents and processed quickly to minimize degradation. Snap-freeze tissues or cell pellets whenever possible and store at −80°C, avoiding repeated freeze–thaw cycles. For biofluids (plasma/serum), clarify by centrifugation, aliquot, and freeze promptly. Avoid detergents and additives that interfere with LC–MS/MS (e.g., SDS, high salt, excessive glycerol, and nucleic acids); if lysis buffers are used, choose MS-compatible formulations or discuss buffer exchange/cleanup options in advance. Ship samples on dry ice with sealed, clearly labeled tubes to maintain sample integrity.
10. What is the typical turnaround time?
Turnaround time varies depending on the project scope, but standard proteomics services typically require 4–6 weeks from sample receipt to data delivery. Express options may be available upon request.
Key Applications of Quantitative Proteomics Analysis
Biomedical and Clinical Research
Quantitative proteomics enables unbiased protein expression profiling in cancer, inflammation, neurodegeneration, and metabolic disease, supporting biomarker discovery, patient stratification, and mechanism-driven translational studies.
Animal Biology and Translational Models
Proteome profiling in animal tissues and cells captures systemic protein regulation driven by genetics, diet, infection, or pharmacological perturbation, enabling cross-tissue comparisons and pathway-level interpretation.
Plant Biology and Crop Science
Quantitative proteome analysis reveals protein expression changes underlying development, stress adaptation, and hormone responses, helping identify pathways associated with yield, quality, and resilience to environmental challenges.
Microbiology and Host–Microbe Studies
Proteomics supports discovery of regulated proteins involved in microbial growth, metabolism, and virulence, and helps interpret host–microbe interactions by linking protein changes to functional pathways and networks.
Applications of Metabolomics Services
Next-Generation Omics Solutions:
Proteomics & Metabolomics
Have a project in mind? Tell us about your research, and our team will design a customized proteomics or metabolomics plan to support your goals.
Ready to get started? Submit your inquiry or contact us at support-global@metwarebio.com.
Ready to get started? Submit your inquiry or contact us at support-global@metwarebio.com.
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