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    Workflow for Phospho Proteomics Analysis

      Phospho proteomics involves the identification and quantification of phosphorylated proteins and peptides. This analysis provides insights into the dynamics of phosphorylation and its role in cellular functions. The workflow for phospho proteomics is complex and involves several critical steps, including sample preparation, protein digestion, phosphopeptide enrichment, mass spectrometry analysis, and data interpretation.

       

      Phospho Proteomics Workflow

      The phospho proteomics workflow consists of the following steps: sample preparation, protein digestion, phosphopeptide enrichment, mass spectrometry analysis, and data analysis.

       

      1. Sample Preparation

      Sample preparation is the first and most crucial step in phospho proteomics. The goal is to obtain a high-quality protein extract from biological samples such as cells, tissues, or bodily fluids. This process typically involves:

      (1) Cell Lysis: Breaking open cells using mechanical, chemical, or enzymatic methods to release proteins.

      (2) Protein Extraction: Isolating proteins while minimizing proteolytic degradation and dephosphorylation using protease and phosphatase inhibitors.

      (3) Protein Quantification: Measuring the total protein concentration to ensure consistency across samples.

       

      2. Protein Digestion

      The extracted proteins are digested into peptides using specific proteases. Trypsin is commonly used due to its high specificity, cleaving proteins at the carboxyl side of lysine and arginine residues. This step generates a complex peptide mixture suitable for further analysis.

       

      3. Phosphopeptide Enrichment

      Phosphopeptides are often present at low abundances and can be overshadowed by non-phosphorylated peptides. Therefore, enrichment techniques are employed to isolate phosphopeptides from the complex mixture. Common enrichment methods include:

      (1) Immobilized Metal Affinity Chromatography (IMAC): Utilizes metal ions (e.g., Fe^3+, Ga^3+) immobilized on a solid matrix to selectively bind phosphopeptides.

      (2) Metal Oxide Affinity Chromatography (MOAC): Uses metal oxides (e.g., TiO2, ZrO2) to capture phosphopeptides.

      (3) Antibody-Based Enrichment: Employs antibodies specific to phosphorylated residues (e.g., anti-phosphotyrosine) for selective isolation.

       

      4. Mass Spectrometry Analysis

      The enriched phosphopeptides are analyzed using mass spectrometry (MS), typically via liquid chromatography-tandem mass spectrometry (LC-MS/MS). This involves:

      (1) LC Separation: Peptides are separated based on their hydrophobicity using high-performance liquid chromatography (HPLC).

      (2) MS Detection: Ionized peptides are detected by the mass spectrometer, measuring their mass-to-charge ratios (m/z).

      (3) MS/MS Fragmentation: Selected precursor ions are fragmented, and the resulting product ions are analyzed to obtain peptide sequence information.

       

      5. Data Analysis

      Data analysis in phospho proteomics involves several steps:

      (1) Raw Data Processing: Converting raw MS data into a format suitable for analysis.

      (2) Database Searching: Matching MS/MS spectra against protein databases to identify peptides and their phosphorylation sites.

      (3) Quantification: Determining the relative or absolute abundance of phosphopeptides using label-free quantification or isotopic labeling techniques.

      (4) Bioinformatics Analysis: Integrating and interpreting data to identify phosphorylation patterns, signaling pathways, and potential regulatory mechanisms.

       

      Applications of Phospho Proteomics

      Phospho proteomics has numerous applications in biological and biomedical research:

       

      1. Signal Transduction Studies

      Mapping phosphorylation events in signaling pathways to understand cellular responses.

       

      2. Cancer Research

      Identifying dysregulated phosphorylation events associated with cancer progression and drug resistance.

       

      3. Drug Development

      Discovering biomarkers for disease diagnosis and therapeutic targets for drug development.

       

      4. Systems Biology

      Integrating phospho proteomics data with other omics data to construct comprehensive cellular models.

       

      Phospho proteomics is a powerful approach for studying protein phosphorylation and its role in cellular regulation. By following a systematic workflow involving sample preparation, protein digestion, phosphopeptide enrichment, mass spectrometry analysis, and data interpretation, researchers can gain deep insights into phosphorylation dynamics. As technology advances, phospho proteomics will continue to provide critical insights into cellular signaling networks and contribute to the development of novel therapeutic strategies.

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