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Phosphoproteomics

Phosphoproteomics

High-Efficiency Phosphopeptide Enrichment Using Ti-IMAC Materials
Advanced 4D Label-Free LC-MS/MS for High Sensitivity and Coverage
Comprehensive Site-Level Data Interpretation and Functional Insights
Flexible Data Analysis Solutions Customized to Research Needs

What Is Phosphorylation Proteomics?

Phosphorylation is one of the most common and important types of protein modification in cells. It works like a molecular switch—by adding a phosphate group to specific amino acids on proteins, cells can control protein activity, stability, interactions, and location. Phosphorylation plays a key role in regulating cell signaling, growth and division, immune responses, and disease development, especially in cancer. However, phosphorylated proteins often exist in very small amounts, and are not easily detected using standard proteomics methods.

MetwareBio’s Phosphorylation Proteomics Service combines optimized phosphopeptide enrichment techniques with advanced 4D label-free LC-MS/MS analysis on the Bruker timsTOF platform. This enables high-confidence phosphosite identification, precise localization, and quantitative profiling across thousands of phosphorylation events. Our platform supports a wide range of applications, including signal pathway mapping, kinase substrate analysis, drug mechanism studies, and phospho-network discovery, making it an ideal tool for advancing both basic and translational research.

Functional properties triggered by protein phosphorylation (Weber 2010)

Why Choose MetwareBio for Phosphorylation Analysis?

High Sensitivity & Site Specificity
Our platform combines 4D label-free LC-MS/MS with Ti-IMAC-based phosphopeptide enrichment, enabling sensitive detection and precise site-level localization of low-abundance phosphorylation events.
Sample-Adaptive Workflow Design
We offer customized sample preparation protocols tailored to cell lines, tissues, or clinical samples to ensure optimal protein extraction, digestion, and phosphopeptide recovery, maximizing phosphoproteome coverage and data consistency.
Comprehensive PTM Expertise
With deep experience in phosphorylation, acetylation, ubiquitination, and other PTMs, our team ensures reliable data generation and insightful interpretation of complex protein regulation mechanisms.
Pathway-Oriented Biological Insights
Integrated analysis of phosphorylation and total protein expression enables in-depth exploration of kinase activity, signal transduction pathways, and cellular regulatory networks.
Publication-Ready Data Package
Deliverables include site-level quantification, differential phosphorylation analysis, functional enrichment, and professional-grade visualizations—ideal for publications, presentations, and grant proposals.

Phosphorylation Proteomics Workflow with Ti-IMAC and 4D LC-MS/MS

Starting from quality-controlled biological samples—including cells, tissues, and biofluids—we perform protein extraction, enzymatic digestion with trypsin, followed by enrichment of phosphorylated peptides using Ti-IMAC (Titanium Ion Metal Affinity Chromatography) materials. The enriched phosphopeptides are analyzed using our 4D label-free LC-MS/MS platform, enabling high-resolution detection and quantification of site-specific phosphorylation events. Data are processed through robust pipelines for phosphosite-level quantification, functional annotation, and pathway enrichment, delivering comprehensive and publication-ready results to support downstream biological interpretation.
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Sample Shipment
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Protein Extraction
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Trypsin Digestion
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Phosphopeptides
Enrichment
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LC-MS/MS
Detection
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Data Analysis

Phosphoproteome Analysis Deliverables

At MetwareBio, we provide high-confidence identification and quantification of phosphorylation sites, along with comprehensive data analysis to support biological interpretation. Our final report includes site-level phosphorylation data, PCA and correlation analysis for sample quality assessment, and multi-dimensional functional annotations including Gene Ontology (GO), KEGG pathway enrichment, KOG classification, and protein domain analysis. Additional analyses such as signal peptide prediction, subcellular localization, and protein–protein interaction (PPI) network construction are also available. All results are delivered with clear data tables and publication-ready visualizations, supporting confident interpretation and downstream application. Contact Us for Demo
Volcano Plot
Clustering Heatmap
Motif Sequence Logo
GO Enrichment
KEGG Pathway Map
KOG Enrichment
Subcellular Localization
Protein–Protein Interaction Network
Signal Peptide Prediction Map

Experience in High-Coverage Phosphorylation Proteomics

We have deep expertise in phosphorylation proteomics across a wide range of sample types, including human, animal, plant, cell, and tissue samples. Our platform routinely identifies thousands of phosphoproteins and tens of thousands of phosphorylation sites, enabling comprehensive insights into cellular signaling across diverse biological systems.

Number of Phosphorylation Sites Identified Across Various Animal and Plant Samples

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Applications of Phosphorylation Proteomics

Medical and Disease Research

Phosphorylation proteomics is a powerful tool for studying cell signaling, immune activation, and disease-related pathways. Abnormal phosphorylation patterns are widely associated with cancer, neurodegenerative disorders, cardiovascular disease, and autoimmune conditions. Phosphoproteome profiling enables the discovery of biomarkers, kinase targets, and drug response mechanisms, supporting translational research and precision medicine.

Animal and Model Organism Studies

In model organisms such as mice, zebrafish, and Drosophila, phosphorylation regulates processes like development, cell proliferation, neural activity, and inflammation. Quantitative phosphoproteomics helps dissect in vivo signaling networks, track disease progression, and evaluate therapeutic intervention effects, advancing functional genomics and experimental medicine.

Plant Biology and Stress Response

Phosphorylation plays a central role in plant signal transduction, influencing hormone signaling, growth regulation, and responses to abiotic and biotic stress. Phosphoproteomics reveals phosphorylation dynamics in drought tolerance, pathogen resistance, and photosynthetic regulation, supporting crop improvement and agricultural resilience research.

Microbial and Host–Pathogen Interaction Research

In microbes, phosphorylation controls metabolism, virulence, and antibiotic resistance. During infection, host and pathogen phosphoproteomes undergo rapid remodeling. Phosphorylation analysis in microbial systems or host–microbe models uncovers infection strategies, immune evasion mechanisms, and host defense pathways, supporting research in microbiology, immunology, and infectious disease.

Case Study of Phosphoproteomics

Phosphoproteomics Reveals Integrin-Driven Platelet Activation by Gut Microbial Metabolite

In a study published in Cell Metabolism (2024), researchers explored how the gut microbial co-metabolite 2-methylbutyrylcarnitine (2MBC) promotes platelet hyperactivity and thrombosis. Elevated in patients with COVID-19 and cardiovascular disease, 2MBC was found to bind and activate integrin α2β1, initiating downstream pro-thrombotic signaling. To dissect the molecular mechanisms, the team employed MetwareBio’s phosphoproteomics service to profile phosphorylation changes in 2MBC-treated platelets. The analysis identified differentially regulated phosphosites and highlighted enriched pathways such as integrin signaling, platelet activation, and cytosolic phospholipase A2 (cPLA2) activation, providing critical evidence that integrin α2β1 functions as the receptor mediating 2MBC’s effect.

This case highlights the value of phosphoproteomics in uncovering dynamic signaling events and functional receptor targets in complex disease processes. MetwareBio’s platform enables deep, site-specific phosphorylation profiling, supporting research in cardiovascular biology, immune signaling, and host–microbiome interactions.

2MBC directly binds to and potentiates integrin a2b1 activation (Huang et al., 2024)

Sample Requirements of Phosphoproteomics

Sample Type Samples Recommended Sample Size Minimum Sample Size
Human/Animal Tissue Normal tissues (heart, liver, spleen, lungs, intestines, kidneys, etc.) 50mg 30mg
Fatty tissue 1g 500mg
Brain tissue 100mg 50mg
Bone 1g 500mg
Hair 1g 500mg
Plant Tissue Young tissue (young leaf, seedling, petal, etc.) 500mg 200mg
Mature tissue (root, stem, fruit, pericarp, etc.) 2g 1.5g
Liquid Joint fluid, Lymph fluid 1ml 500μL
Cerebrospinal fluid 1ml 500μL
Amniotic fluid 5ml 2ml
Urine 50mL 20mL
Fungi 1g 500mg
Cells Primary Cells 2×10^7 1×10^7
Transmissible cells 1×10^7 5×10^6
Sperm, Platelets 5×10^7 2×10^7
Protein Protein 1000μg 500μg
Biological duplicates: A minimum of 3 replicates is required; 3-6 replicates for animal samples; 6-10 for clinical samples.

 

FAQ on Phosphorylation Proteomics

Why is a dedicated workflow needed for phosphorylation proteomics?

Phosphorylated peptides are often low in abundance and display poor ionization efficiency. Without specific enrichment, they are easily masked by non-modified peptides. Therefore, specialized phosphopeptide enrichment and optimized mass spectrometry workflows are essential for reliable detection and quantification of phosphorylation events.

What methods are commonly used to enrich phosphopeptides, and what does MetwareBio use?

Phosphopeptide enrichment is essential for successful phosphoproteomics due to the low abundance of phosphorylated peptides. Common enrichment methods include IMAC (Immobilized Metal Affinity Chromatography), TiO₂ chromatography, and Ti-IMAC (Titanium Ion Metal Affinity Chromatography). At MetwareBio, we use Ti-IMAC materials, which offer high specificity and recovery efficiency, allowing for sensitive and reproducible capture of both mono- and multi-phosphorylated peptides across diverse sample types.

Can phosphoproteomics distinguish between dynamic and constitutive phosphorylation events?

Yes. By comparing phosphorylation levels across conditions or time points, and integrating with total protein abundance data, our analysis can help distinguish stimulus-responsive phosphorylation from baseline or structural phosphorylation, enabling deeper insight into signal transduction dynamics.

How do you control for protein abundance when interpreting phosphorylation changes?

We offer paired quantitative proteome + phosphoproteome analysis, allowing normalization of phosphosite intensity to corresponding protein abundance. This helps distinguish true phosphorylation regulation from changes driven by protein expression differences.

What is the minimal recommended sample amount for phosphoproteomics?

We recommend starting with at least 200–300 µg of total protein per sample after lysis and quantification. For precious or limited samples, please consult us for low-input or optimized enrichment protocols.

Do you support motif analysis to identify kinase target signatures?

Absolutely. We provide phosphorylation motif analysis, helping identify sequence preferences around phosphosites, which can suggest upstream kinase family activity, post-translational cross-talk, or regulatory hotspots.

Can phosphoproteomics be applied to study drug treatment or compound screening?

Yes. Phosphorylation profiling is a powerful tool for mechanism-of-action studies, target deconvolution, and off-target effect assessment in drug-treated cells, tissues, or organoids—supporting pharmacodynamic evaluation in both early and late-stage research.

What bioinformatics support do you offer for custom hypotheses (e.g., pathway-specific focus)?

Our expert team can assist with custom data slicing, focusing on specific phosphosite groups, pathways, or gene sets. Whether you're interested in immune signaling, cell cycle regulation, or stress responses, we tailor analysis outputs to match your biological questions.

Reference

1. Weber, T. J. (2010). Protein kinases. In C. A. McQueen (Ed.), Comprehensive toxicology (2nd ed., pp. 473–493). Elsevier.https://doi.org/10.1016/B978-0-08-046884-6.00225-6

2. Huang, K., Li, Z., He, X., Dai, J., Huang, B., Shi, Y., Fan, D., Zhang, Z., Liu, Y., Li, N., Zhang, Z., Peng, J., Liu, C., Zeng, R., Cen, Z., Wang, T., Yang, W., Cen, M., Li, J., Yuan, S., … Chen, S. (2024). Gut microbial co-metabolite 2-methylbutyrylcarnitine exacerbates thrombosis via binding to and activating integrin α2β1. Cell metabolism, 36(3), 598–616.e9. https://doi.org/10.1016/j.cmet.2024.01.014

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