Interactome Analysis Service
Interactome analysis aims to map and characterize the complex networks of molecular interactions within a biological system, providing a systems-level understanding of how these interactions drive cellular functions and contribute to disease progression. Interactome analysis goes beyond individual protein functions to reveal how molecular components collectively drive processes such as signal transduction, gene expression, metabolic pathways, and cellular homeostasis. The interactome, at the core of interactome analysis, refers to the complete set of molecular interactions within a biological system. It encompasses not only protein-protein interactions (PPIs) but also protein-nucleic acid interactions, protein-small molecule interactions, protein-lipid interactions, and other biomolecular associations. These interactions form highly dynamic and organized networks, serving as the foundation for cellular communication, stability, and adaptive responses.
Figure 1. Interactome Analysis Reveals Known and Novel Interactions for A20 (The Major Transcription Factor Coordinating Inflammatory Gene Expression)
Interactome analysis is essential for understanding cellular processes, disease mechanisms, and therapeutic strategies. Interactome analysis reveals insights into dynamic protein complexes, transient interactions, and pathway regulations. Additionally, Interactome analysis helps identify key biomolecules linked to disease progression, supporting biomarker discovery and therapeutic target identification. By connecting genotype and phenotype, interactome analysis enables the construction of comprehensive cellular models under both physiological and pathological conditions.
Service at MtoZ Biolabs
MtoZ Biolabs provides an Interactome Analysis Service that combines advanced technologies and state-of-the-art instrumentation to deliver high-resolution molecular interaction maps. We offer a broad range of technical approaches to meet diverse research objectives.
1. In Vitro Interactome Analysis
In Vitro Interactome Analysis focuses on identifying and characterizing protein interactions under controlled laboratory conditions. These methods allow precise control of experimental variables, enabling the study of specific and stable protein interactions. Key technologies include: Pull-Down Assays, Yeast Two-Hybrid (Y2H) Systems, Surface Plasmon Resonance (SPR), Biolayer Interferometry (BLI), Isothermal Titration Calorimetry (ITC), Co-Immunoprecipitation (Co-IP).
Figure 2. The Experimental Pipeline used to Study the PD-1 Protein–Protein Interactions and Validation of PD-1 Binding to AXL
2. In Vivo Interactome Analysis
In Vivo Interactome Analysis focuses on studying protein interactions in their native cellular environment, preserving the natural context of molecular interactions. These methods allow the capture of both stable and transient interactions, offering insights into dynamic cellular processes. Key technologies include: Proximity Labeling Techniques (e.g., BioID, APEX, TurboID), Cross-Linking Mass Spectrometry (XL-MS), Affinity Purification Coupled with Mass Spectrometry (AP-MS), Co-Immunoprecipitation (Co-IP), Fluorescence Resonance Energy Transfer (FRET).
Figure 3. In Vivo Crosslinking Experimental Flow Chart
3. Computational Interactome Modeling
Computational Interactome Modeling integrates large-scale proteomics data with bioinformatics tools to reconstruct, analyze, and visualize complex protein interaction networks. This approach complements experimental data, enabling a deeper understanding of cellular regulatory systems. Key methodologies include: Network Analysis, Functional Module Prediction, Machine Learning Algorithms, Structural Modeling, Dynamic Network Analysis, Integration with Multi-Omics Data, Visualization Tools.
Why Choose MtoZ Biolabs?
1. Advanced Analysis Platform: MtoZ Biolabs established an advanced Interactome Analysis Service platform, guaranteeing reliable, fast, and highly accurate analysis service.
2. One-Time-Charge: Our pricing is transparent, no hidden fees or additional costs.
3. High-Data-Quality: Deep data coverage with strict data quality control. AI-powered bioinformatics platform integrates all Interactome Analysis Service data, providing clients with a comprehensive data report.
4. Customizable Solutions: Tailored experimental designs and flexible workflows to meet diverse research objectives across biomedical research, drug discovery, and systems biology.
5. End-to-End Service Workflow: From sample preparation and interaction detection to data analysis and biological interpretation, offering a seamless and efficient service experience.
Applications
1. Biomedical Research: Interactome Analysis Service maps disease-related protein networks, uncovering mechanisms driving pathology and identifying potential therapeutic targets for disease intervention.
2. Drug Discovery: Identify drug-target interactions through precise molecular mapping to optimize therapeutic development and drug efficacy.
3. Systems Biology: Construct protein interaction networks for modeling complex cellular processes and dynamic biological pathways.
4. Structural Biology: Study protein complex structures and interaction interfaces using Interactome Analysis Service to gain insights into molecular assembly and functional mechanisms.
5. Agricultural Biotechnology: Improve crop resilience by analyzing stress-response protein interaction networks and enhancing agricultural productivity.
6. Environmental Science: Utilize Interactome Analysis Service to study microbial networks for environmental stress adaptation and bioremediation strategies.
7. Industrial Biotechnology: Optimize enzyme efficiency and biocatalyst performance by analyzing protein-protein interactions in industrial processes.
8. Cellular Signaling: Analyze protein signaling interactions to reveal feedback mechanisms and cross-talk pathways in cellular regulation.
Deliverables
1. Comprehensive Experimental Details
2. Materials, Instruments, and Methods
3. Mass Spectrometry Data and Quality Control Assessment
4. Data Preprocessing and Analysis Results
5. Bioinformatics Analysis and Interaction Network Mapping
6. Raw Data Files
If you are interested in our Interactome Analysis Service, please feel free to contact us.
How to order?
