Data-Independent Acquisition Service
Data-Independent Acquisition Service is a cutting-edge approach in mass spectrometry that enables comprehensive and unbiased proteome analysis. Data-Independent Acquisition Service is designed to provide reproducible data acquisition with extensive proteome coverage, making it a powerful tool for both exploratory and targeted proteomics studies.
The principle of Data-Independent Acquisition (DIA) lies in its ability to capture all ionized molecules within a predefined mass range, rather than focusing solely on the most abundant peptides, as in traditional Data-Dependent Acquisition (DDA). In a DIA workflow, the mass spectrometer fragments all ions within a series of consecutive mass windows, systematically covering the entire detectable mass range. This approach ensures that even low-abundance peptides are detected, resulting in greater proteome coverage and higher data reproducibility. Data-Independent Acquisition Service has addressed key challenges in proteomics, such as limited reproducibility, incomplete data acquisition, and insufficient depth in complex sample analysis.
Figure 1. Principles of Data-Independent Acquisition (DIA)
Data-Independent Acquisition Service is particularly well-suited for modern proteomics research. Its ability to consistently quantify thousands of proteins across samples makes data-independent acquisition an invaluable tool for large-scale studies, biomarker discovery, and clinical research. By providing robust and scalable solutions, data-independent acquisition enables researchers to gain deeper insights into biological systems.
Service at MtoZ Biolabs
MtoZ Biolabs offers Data-Independent Acquisition Service, leveraging cutting-edge instrumentation like the Thermo Orbitrap Fusion Lumos and advanced analytical platforms, including Spectronaut and DIA-NN. Our services are tailored to meet diverse research needs, ensuring high-quality data and actionable results. Whether you are conducting systems biology studies, identifying disease biomarkers, or exploring protein dynamics in drug development, our data-independent acquisition workflows are designed to deliver unparalleled precision and reproducibility.
Hansen, F. M. et al. Nat Commun. 2021.
Figure 2. Data-Independent Acquisition Workflow for Ubiquitinome Analysis
Service Advantages
1. Advanced Analysis Platform: MtoZ Biolabs established an advanced Data-Independent Acquisition Service platform, guaranteeing reliable, fast, and highly accurate analysis service.
2. Comprehensive Proteome Coverage: Data-independent acquisition captures all ionized molecules within a specified mass range, enabling unbiased and thorough data acquisition.
3. Scalable for Large-Scale Studies: Data-Independent Acquisition Service is ideal for analyzing thousands of proteins across multiple samples, supporting biomarker discovery, disease profiling, and population-level proteomic studies with unparalleled efficiency.
4. One-Time-Charge: Our pricing is transparent, no hidden fees or additional costs.
5. High-Data-Quality: Deep data coverage with strict data quality control. AI-powered bioinformatics platform integrates all data-independent acquisition analysis data, providing clients with a comprehensive data report.
Applications
1. Application of Data-Independent Acquisition Service in Biomarker Discovery
Data-Independent Acquisition has proven instrumental in identifying potential biomarkers for aggressive prostate cancer. By leveraging DIA-based quantitative mass spectrometry, researchers identified glycopeptides such as urinary ACPP, achieving high discrimination power (AUC up to 0.86). This approach effectively distinguishes aggressive from non-aggressive prostate cancer cases. These findings highlight the capability of Data-Independent Acquisition Service in analyzing complex biological samples and advancing biomarker research, paving the way for improved cancer diagnostics and personalized treatment strategies.
Dong, M. et al. Theranostics. 2020.
2. Advancing Quantitative Proteomics with Data-Independent Acquisition Service
Data-Independent Acquisition Service enables precise quantitative proteomics for complex diseases like Alzheimer’s. Using DIA-based LC-MS/MS, researchers analyzed brain tissue from clinically well-characterized cohorts, identifying molecular signatures across multiple brain regions. This approach provided high-quality peptide and protein-level data, crucial for understanding Alzheimer’s pathophysiology and phenotypic variability. DIA ensures robust quantification with minimized bias. Its integration into proteomics workflows accelerates insights into neurodegenerative diseases, making it an indispensable tool for quantitative proteomics.
Merrihew, G. E. et al. Sci Data. 2023.
3. Data-Independent Acquisition Service for Comprehensive Post-Translational Modification Analysis
Data-Independent Acquisition Service is a powerful approach for analyzing low-abundance post-translational modifications (PTMs), such as malonylation and succinylation. By integrating DIA with PTM-enrichment strategies, researchers achieved significant increases in PTM identification, identifying 466 malonylated and 2211 succinylated peptides in mouse brain samples. The integration of enrichment strategies with spectral library-free DIA data analysis enables comprehensive profiling of PTMs, even in highly complex proteomes.
Bons, J. et al. Proteomics. 2023.
Deliverables
1. Comprehensive Experimental Details
2. Materials, Instruments, and Methods
3. Total Ion Chromatogram & Quality Control Assessment (project-dependent)
4. Data Analysis, Preprocessing, and Estimation (project-dependent)
5. Bioinformatics Analysis
6. Raw Data Files
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