DIA Quantitative Proteomics

Data-Independent Acquisition (DIA) quantitative proteomics is a highly regarded mass spectrometry technology that has been leading new developments in the field. This technique employs a novel mass spectrometry acquisition mode, dividing the full scan mass range into multiple consecutive windows, and cyclically fragments and scans all ions within each window, thereby comprehensively collecting fragment ion information from all peptides.

Compared to traditional Data-Dependent Acquisition, DIA technology overcomes stochastic sampling issues, significantly improving the reproducibility, stability, and coverage of quantitative data. Additionally, this technique offers the unique advantage of data reusability, allowing researchers to reanalyze data in the future to discover new biomarkers.

Figure 1. Workflow for DIA-based proteomics analysis of global proteins and phosphorylated proteins of ovarian development in female Haemaphysalis longicornis. (Source: Wang M, et al. 2020)

Technical Advantages

• High Sensitivity & Coverage: Acquires information from all peptides without discrimination, preventing the loss of low-abundance protein data, resulting in higher protein identification numbers.
• Excellent Quantitative Accuracy: Fixed cycle times and even scanning points ensure high quantitative accuracy, with excellent quantitative correlation demonstrated between replicate samples.
• Outstanding Stability: Higher reproducibility in sample detection, greatly enhancing the reliability of quantitative analysis.
• High-Throughput Capability: Features higher detection throughput, making it more suitable for large cohort samples. It eliminates the need for fractionation, significantly reducing analysis time per sample.
• Data Reusability: Acquired data can be stored and re-analyzed, providing convenience for subsequent research.

Workflow

Application

DIA quantitative proteomics is suitable for various sample types including cells, tissues, and body fluids, with no throughput limitations, making it applicable for projects of any sample size. Key applications include:

• Disease Mechanism Research: Investigating the molecular mechanisms of disease development and progression.
• Biomarker Discovery: Screening for biomarkers for disease diagnosis and prognosis.
• Drug Target Screening: Discovering new drug targets.
• Plant Science Research: Studying plant stress resistance mechanisms and growth development.

Sample Submission Requirements

To ensure the accuracy and reliability of experimental results, please prepare and submit samples according to the following requirements:

DIA quantitative proteomics, as a next-generation tool for proteomics research, is becoming a vital supporting technology for large-scale clinical studies and precision medicine. Whether you are conducting basic mechanistic exploration or translational medical research, Creative Diagnostics is here to provide comprehensive technical support and services to help you achieve breakthroughs in your research.