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    Phosphorylation Site Identification Service

      Phosphorylation site identification is a proteomics analysis service focused on detecting and locating phosphorylation sites on proteins. Phosphorylation is one of the most common post-translational modifications, referring to the covalent attachment of a phosphate group to serine (Ser), threonine (Thr), or tyrosine (Tyr) residues. It plays a central role in regulating biological processes such as signal transduction, cell cycle progression, and metabolic responses. This service typically integrates efficient phosphopeptide enrichment techniques (such as TiO₂ or IMAC) with high-resolution mass spectrometry platforms and computational approaches to identify or predict phosphorylation sites within specific proteins or across the proteome, and provides corresponding peptide sequences and spectral information.

       

      The phosphorylation site identification service is widely applied in areas such as signaling pathway research, kinase target screening, drug mechanism studies, biomarker discovery, and the investigation of tumor and immune regulation. It is particularly valuable for uncovering key phosphorylation events involved in dynamic regulatory processes and helps elucidate molecular regulatory networks under physiological and pathological conditions.

       

      Services at MtoZ Biolabs

      Based on high-resolution mass spectrometry platforms and combined with TiO₂ or IMAC enrichment strategies, the phosphorylation site identification service offered by MtoZ Biolabs integrates experimental MS analysis with computational site prediction to comprehensively profile phosphorylation modifications in proteins. Through mass spectrometry, actual phosphorylation sites present in the sample are accurately identified, with peptide sequences, modification sites, and spectral information provided. Additionally, bioinformatics tools are used to computationally predict potential phosphorylation sites, enhancing site coverage and analytical depth. This service is applicable to samples from cells, tissues, or purified proteins, supporting researchers in gaining deep insights into signaling regulation mechanisms and phosphorylation-related changes in disease contexts. Phosphorylation site identification is primarily carried out through two approaches:

       

      1. Mass Spectrometry-Based Phosphorylation Site Identification

      This method utilizes phosphopeptide enrichment combined with high-resolution LC-MS/MS technology to directly detect and precisely localize phosphorylation modifications within a sample. It provides high-confidence peptide sequences, modification site information, and spectral data.

       

      2. Computational Phosphorylation Site Prediction

      This approach relies on known protein sequences and database information, using algorithmic tools to predict potential phosphorylation sites. It is suitable for supplementing experimental results or conducting preliminary screening when mass spectrometry data is limited or unavailable.

       

      Analysis Workflow

      1. Protein Extraction and Digestion

      Proteins are extracted from cells, tissues, or purified samples. After reduction and alkylation, trypsin digestion is performed to generate peptides while preserving phosphorylation information.

       

      2. Phosphopeptide Enrichment

      TiO₂ or IMAC-based enrichment methods are employed to selectively isolate phosphopeptides, improving the detection sensitivity of low-abundance phosphorylation sites.

       

      3. LC-MS/MS Analysis

      High-resolution mass spectrometry platforms (e.g., Orbitrap) are used to perform liquid chromatography–tandem mass spectrometry on enriched peptides, generating high-quality spectral data.

       

      4. Data Analysis and Site Localization

      Modification sites are identified through database searching and specialized phosphorylation algorithms (such as Ascore or PhosphoRS), providing annotated phosphopeptides, site positions, and confidence scores.

       

      Sample Submission Suggestions

      1. Sample Types

      Supports a wide range of biological materials including cells, tissues, serum/plasma, and purified proteins. It is recommended to use samples with high phosphorylation activity or known active signaling pathways to improve site detection efficiency.

       

      2. Buffer Requirements

      Avoid using buffers containing SDS, glycerol, high salt, or phosphate-based components that may interfere with mass spectrometry analysis. Use MS-compatible buffers for optimal results.

       

      3. Sample Transport

      Samples should be stored at –80°C and shipped on dry ice to maintain phosphorylation stability and prevent degradation from freeze-thaw cycles. Sample handling guidance is available upon request.

       

      Service Advantages

      1. High-Resolution Site Localization

      Utilizes high-end mass spectrometry platforms such as Orbitrap, combined with phosphopeptide-specific enrichment strategies, to precisely identify and localize phosphorylation sites on Ser, Thr, and Tyr residues.

       

      2. Strong Detection of Low-Abundance Modifications

      Employs optimized TiO₂ or IMAC enrichment methods to significantly enhance the detection of low-abundance phosphopeptides, making it suitable for complex biological samples.

       

      3. Rigorous and Reliable Data Analysis

      Incorporates multiple scoring algorithms to evaluate site confidence, improving the accuracy and reproducibility of phosphorylation site identification.

       

      4. End-to-End Customized Service

      Covers the full workflow—from sample preparation and phosphopeptide enrichment to MS detection and data analysis—offering flexible, customized solutions to meet diverse research needs.

       

      Applications

      1. Signal Pathway Mechanism Research

      Phosphorylation site identification service is used to analyze kinase-substrate interactions, phosphorylation cascades, and regulatory signaling networks, contributing to a deeper understanding of cellular response mechanisms.

       

      2. Drug Mechanism Validation

      By comparing phosphorylation levels before and after treatment, the service helps evaluate the impact of candidate drugs on key protein phosphorylation, supporting pharmacodynamic studies and target validation.

       

      3. Cancer and Disease Research

      Applicable for identifying aberrant phosphorylation events associated with diseases such as cancer, neurodegenerative disorders, and immune dysfunctions, facilitating disease mechanism exploration and target discovery.

       

      4. Kinase Target Discovery

      This service aids in identifying kinase-regulated sites and substrate proteins, providing valuable insights for kinase screening, functional validation, and inhibitor development.

       

      Case Study

      1. Identification and Functional Analysis of SOX10 Phosphorylation Sites in Melanoma

      This study aimed to investigate the phosphorylation modifications of the SOX10 protein in melanoma and their functional implications. Using the human melanoma cell line 501mel as a model, several phosphorylation sites on SOX10 were identified through co-immunoprecipitation combined with LC-MS/MS, including S24, S45, and T240, which are located in predicted MAPK/CDK recognition motifs. Phosphorylation-deficient mutants were constructed for functional validation. The mutations did not alter SOX10 subcellular localization but showed cell-specific effects on the transcriptional activation of the MITF promoter. Protein stability assays revealed that the S24A and T240A mutants had significantly shorter half-lives compared to the wild-type protein. These findings suggest that SOX10 phosphorylation regulates its stability and transcriptional activity and plays a crucial role in melanoma development, indicating its potential as a therapeutic intervention target.

       

      phosphorylation-site-identification-service1.png

      Cronin, J C. et al. PLOS ONE, 2018.

      Figure 1. Mass Spectrometry Analysis Identifies SOX10 Phosphorylation Sites.

       

      2. Identification of Phosphorylation Sites on β1-adrenergic Receptor in the Mouse Heart

      This study aimed to identify the phosphorylation sites on the β1-adrenergic receptor (Adrb1) in mouse heart tissue to better understand its role in cardiac function regulation. Using mouse heart samples, researchers employed immunoaffinity purification combined with nano-scale liquid chromatography-tandem mass spectrometry (nanoLC-MS/MS) and identified phosphorylation at Ser274 and Ser280 within the third intracellular loop, as well as Ser412, Ser417, Ser450, Ser451, and Ser462 at the C-terminal region of Adrb1. Further analysis revealed that stimulation with an agonist increased phosphorylation at Ser274, Ser280, and Ser462. This study represents the first in vivo systematic identification of Adrb1 phosphorylation sites and provides new insights into the regulatory mechanisms of β1-adrenergic receptor function in the heart.

       

      phosphorylation-site-identification-service2.jpg

      Hayashi, K. et al. Biochemical and Biophysical Research Communications, 2017. 

      Figure 2. Phosphorylated Residues Were Detected at the Third Intracellular Loop and C-Terminal of Adrb1.

       

      FAQ

      Q1: What Types of Phosphorylation Modifications Can this Service Identify?

      A1: This service primarily identifies three common types of phosphorylation sites: serine (Ser), threonine (Thr), and tyrosine (Tyr). It is applicable to various sample types, including cells, tissues, and purified proteins.

       

      Q2: Can Low-Abundance Phosphorylation Sites Be Detected?

      A2: Yes. We utilize highly efficient enrichment techniques (such as TiO₂ and IMAC) combined with high-sensitivity mass spectrometry platforms (such as Orbitrap), which significantly enhance the detection of low-abundance modified peptides.

       

      Q3: Can Multiple Sample Groups Be Compared?

      A3: Yes. Label-free or TMT-based quantitative strategies can be used to compare phosphorylation level changes across different treatment groups, making this service suitable for signaling pathway studies and drug mechanism exploration.

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