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    4D Label-Free Proteomics Technology and Applications

      4D label-free proteomics technology is an advanced method of proteomic analysis. It combines Data Independent Acquisition (DIA) and a label-free quantification strategy. This technology allows for the systematic analysis of protein expression changes in biological samples without using chemical labels. Due to its efficiency and accuracy, 4D label-free proteomics have wide applications in biomedical research, disease biomarker identification, and drug development.

       

      Service Advantages

      1. Label-Free Quantification

      In traditional proteomics research, it is often necessary to use chemical labels (such as fluorescent dyes) to mark proteins for detection and analysis. In label-free technology, no such pre-treatment is needed, allowing for direct analysis of proteins. This method reduces the complexity of sample treatment and retains more original biological information.

       

      2. Data Independent Acquisition

      DIA technology can continuously and systematically collect ions of all mass-to-charge ratios in the sample, improving the coverage and sensitivity of protein detection.

       

      3. High-Dimensional Data Analysis (4D)

      This technology uses four-dimensional data (time, space, intensity, and mass) to analyze proteins. This means that it not only focuses on the state of proteins at a specific time point, but also their spatial distribution in cells or tissues, as well as their quantitative and mass properties.

       

      4. Time Efficiency

      Since no complex sample pre-treatment is needed, 4D label-free proteomics can speed up the experimental process.

       

      Applications

      1. Disease Mechanism Research

      Analysis of the differences in protein expression under disease and normal states can help understand the molecular mechanisms of disease.

       

      2. Biomarker Discovery

      Identification of proteins associated with specific diseases can provide potential early diagnosis and treatment monitoring.

       

      3. Drug Mechanism of Action

      Studying the changes in the proteome before and after drug treatment can reveal the molecular targets and mechanisms of action of the drug.

       

      4. Systems Biology

      Understanding the functions of cells and tissues at the system level can promote the development of personalized medicine and precision medicine.

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