Protein S-Nitrosylation Modification Profiling

Nitric oxide (NO) is an important intracellular signaling molecule that not only exerts biological effects through the cGMP signaling pathway, but can also regulate protein function through a parallel signal transduction pathway—S-nitrosylation modification. S-nitrosylation modification refers to the process where nitric oxide forms a covalent bond with the thiol group (-SH) of specific cysteine residues in proteins, creating a stable nitrosothiol structure. This modification is a reversible post-translational modification that not only alters the redox state of proteins, but more importantly enables:

  • Regulation of enzyme activity: By modifying the chemical environment of active sites, it directly affects enzyme catalytic efficiency
  • Control of subcellular localization: It influences protein nuclear localization, membrane targeting, and other spatial distribution patterns
  • Modulation of protein-protein interactions: It alters the accessibility of protein recognition and binding sites

These mechanisms make S-nitrosylation a critical regulatory point for cells to sense and respond to physiological and pathological stimuli.

Illustration of transformation pathways related to S-nitrosylationFigure 1. Most relevant cysteine oxidation states in the context of S-nitrosylation and possible pathways of interconversion. (Source: Bignon E, et al. 2018)

Our Services

Service Description Key Components Application Scenarios
S-Nitrosylation Proteome Profiling Comprehensive and in-depth detection and quantification of S-nitrosylation sites in biological samples using advanced mass spectrometry technology
  • Global nitrosylation site identification
  • Qualitative analysis of nitrosylated proteins
  • Quantitative analysis based on mass differences
Comprehensive understanding of protein modification landscape
Targeted Protein Nitrosylation Analysis Precise detection of S-nitrosylation modification sites on specific proteins of interest
  • Deep mining of target protein nitrosylation sites
  • Precise site localization
  • Functional domain analysis
Drug target validation, assessment of disease-related protein nitrosylation status
Comparative Condition Studies Systematic comparison of S-nitrosylation modification patterns across different biological conditions
  • Multi-condition sample design
  • Qualitative and quantitative comparison of modification profiles
  • Differential modification statistical analysis
Disease biomarker discovery, drug mechanism elucidation, stress response research
Multi-Modification Joint Analysis Simultaneous detection of S-nitrosylation with other post-translational modifications such as phosphorylation and ubiquitination
  • Synchronous enrichment of multiple modification types
  • Cross-talk analysis between modifications
  • Integrated signal pathway construction
Complex signal pathway research, multi-target intervention strategy design

Service Advantages

  • High Sensitivity and Coverage
    By employing optimized enrichment strategies and high-resolution mass spectrometry technology, we can detect low-abundance nitrosylation modifications and identify multiple nitrosylation sites on individual proteins, ensuring a complete modification landscape.
  • Precise Site Localization
    Through advanced data analysis methods, we not only identify S-nitrosylation sites but also provide high-confidence scores, ensuring the reliability of our results.
  • Optimized Sample Consumption
    Compared to conventional methods, our technical approach requires significantly lower sample amounts, making it particularly suitable for analyzing precious or rare specimens.
  • Comprehensive Biological Interpretation
    Beyond providing modification data, we integrate bioinformatics analysis to deeply elucidate the relationships between nitrosylation modifications and protein function, disease phenotypes.
  • Diverse Sample Support
    We support multiple types of biological samples, including tissues, cells, and body fluids, with broad application prospects.

Workflow

We will record sample information and relevant experimental background, perform sample quality testing (including protein concentration and purity assessment), and develop a customized analysis plan based on the sample characteristics.

We perform protein extraction and quantification, protein reduction and alkylation treatment, as well as trypsin digestion to generate peptides, ensuring proper preparation for subsequent analysis.

We identify S-nitrosylation sites through specific chemical tagging, employ affinity chromatography to enrich modified peptides, and remove non-specific binding materials to enhance target abundance.

We conduct liquid chromatography-mass spectrometry (LC-MS/MS) analysis, acquiring high-resolution mass data and fragmentation spectra to ensure detection sensitivity and reproducibility.

We perform modification site identification and localization, qualitative and quantitative analysis of nitrosylated proteins, functional enrichment and pathway analysis, as well as statistical significance evaluation.

We generate a comprehensive technical report with interactive data visualization results, and offer optional in-depth biological interpretation and discussion.

Sample Submission Guidelines

  • Solid Sample Types and Quantities
    Sample Type Recommended Amount
    Conventional animal tissues (brain, heart, liver, kidney, etc.) ≥300 mg
    Soft tissues (plant leaves, flowers, etc.) ≥300 mg
    Bacterial cells ≥500 mg
    Fungal cells ≥8 g
    Cultured cells ≥8×10⁷ cells
  • Liquid Sample Types and Quantities
    Sample Type Recommended Amount
    Serum/plasma ≥1 mL
    Urine ≥50 mL
    Other body fluids ≥500 μL
    Secreted proteins (cell culture supernatant, brain tissue secretion, etc.) ≥10 mL
  • We will perform sample quality testing prior to analysis
  • For samples with low protein concentration or excessive impurities, optimization of processing methods may be necessary
  • If advance assessment is needed, you may submit a small portion of the sample for pre-screening

Reference

  1. Bignon E, et al. Computational Structural Biology of S-nitrosylation of Cancer Targets. Front Oncol. 2018 Aug 14;8:272.
The service is for research only, not for clinical use.
0
Inquiry Basket