| Model NO.: | Targeted proteomics |
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| Customization: | Available Customized Request |
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Targeted proteomics is a scientific discipline focused on the quantitative study of specific target proteins, building on the foundation of general proteomics. Unlike non-targeted proteomics, this approach selectively chooses ions for the collection of mass spectrometry data, enabling the analysis of numerous samples with enhanced accuracy, sensitivity, and reproducibility. Targeted proteomics is applicable to a range of studies including post-translational modifications, protein conformations, protein-protein interactions, dynamics, and the systemic investigation of metabolic and signaling pathways.
Targeted proteomics quantitative techniques mainly include multiple reaction monitoring (MRM) and parallel reaction monitoring (PRM). MRM, also referred to as selected reaction monitoring (SRM), employs triple quadrupole mass spectrometry (QQQ-MS) to capture signals conforming to predefined ion criteria, facilitating both relative and absolute quantification of target proteins. PRM extends the capabilities of MRM by integrating the high selectivity of quadrupoles with the superior resolution and precision of the Orbitrap technology. It measures all fragment ions following the fragmentation of selected parent ions, offering improved detection sensitivity and reduced susceptibility to interference.
Services at MtoZ Biolabs
MtoZ Biolabs leverages a high-throughput mass spectrometry platform to offer targeted proteomics analysis services, which include:
1. Parallel Reaction Monitoring (PRM) Services
2. MRM/PRM-Based Quantitative Proteomics Analysis
3. Absolute Quantification Analysis ?AQUA?
Service Advantages
Why Choose MtoZ Biolabs?
1. Advance Analysis Platform: MtoZ Biolabs established an advanced targeted proteomics analysis 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 integrate targeted proteomics analysis data providing clients with a comprehensive data report.
4. Antibody-Independent Detection: MRM/PRM does not require antibodies, broadening its applicability in analyzing complex biological samples while avoiding the specificity limitations of antibody-based methods.
5. Customized Service: Tailored to the specific research needs of our clients, we offer flexible experimental design and personalized data analysis to ensure the achievement of research goals to the fullest extent.
Deliverables
What Could be Included in the Report?
1. Comprehensive Experimental Details
2. Materials, Instruments, and Methods
3. Total Ion Chromatogram & Quality Control Assessment
4. Data Analysis, Preprocessing, and Estimation
5. Bioinformatics Analysis
6. Raw Data Files
About Us
MtoZ Biolabs is an integrate contract research organization (CRO) providing advanced proteomics, metabolomics, bioinformatics, and biopharmaceutical analysis services to researchers in biochemistry, biotechnology, and biopharmaceutical fields. The name of MtoZ represents “mass to charge ratio” in mass spectrometry analysis, as most of our services are provided based on our well-established mass spectrometry platforms. Our services allow for the rapid and efficient development of research projects, including protein analysis, proteomics, and metabolomics programs.
MtoZ Biolabs is specialized in quantitative multiplexed proteomics and metabolomics applications through the establishment of state-of-the-art mass spectrometry platforms, coupled with high-performance liquid chromatography technology. We are committed to developing efficient, and effective tools for addressing core bioinformatics problems. With a continuing focus on quality, MtoZ Biolabs is well equipped to help you with your needs in proteomics, metabolomics, bioinformatics, and biopharmaceutical research. Our ultimate aim is to provide more rapid, high-throughput, and cost-effective analysis, with exceptional data quality and minimal sample.
