Resources

Proteomics Databases



Metabolomics Databases

• • Workflow of 2D-DIGE-Based Protein Quantification

  Two-Dimensional Difference Gel Electrophoresis (2D-DIGE) is a powerful proteomics technique for the simultaneous separation and quantification of proteins from different biological samples. This technique significantly improves the accuracy and sensitivity of protein quantification by labeling and separating multiple samples on the same gel.

• • Application of 2D-DIGE-Based Protein Quantification

  Two-Dimensional Difference Gel Electrophoresis (2D-DIGE) is a powerful tool that combines traditional two-dimensional electrophoresis with fluorescent dye labeling technology, widely used for protein separation and quantitative analysis in proteomics. This technique has seen extensive application in studying protein expression changes under different conditions, protein-protein interactions, and identifying disease-related biomarkers.

• • Advantages and Disadvantages of 2D-DIGE-Based Protein Quantification

  Two-Dimensional Difference Gel Electrophoresis (2D-DIGE) is a crucial technique in proteomics research. It combines Two-Dimensional Electrophoresis (2DE) with fluorescent dye labeling, enabling the simultaneous analysis of protein expression levels from multiple samples on the same gel. The unique advantage of 2D-DIGE lies in its efficiency and accuracy in comparing differential protein expression under various conditions. However, there are also some limiting factors associated with this technique.

• • Principle of 2D-DIGE-Based Protein Quantification

  Two-dimensional difference gel electrophoresis (2D-DIGE) is a widely utilized technique in proteomics, particularly for the quantitative analysis of protein expression. 2D-DIGE merges the high-resolution separation capability of two-dimensional gel electrophoresis (2-DE) with the sensitivity of fluorescent dye labeling, enabling simultaneous analysis of multiple samples and allowing for the precise quantification of protein expression differences under various conditions.

• • Mechanism of DIA in Protein Quantification

  In modern proteomics research, protein quantification techniques have become essential tools. Data-Independent Acquisition (DIA) technology is rapidly emerging as a leading method in protein quantification due to its high throughput and precision.

• • Application of DIA in Protein Quantification

  Data-Independent Acquisition (DIA) technology has gained widespread attention in the field of proteomics in recent years. As a high-throughput protein quantification technology, DIA overcomes the limitations of traditional Data-Dependent Acquisition (DDA) technology by providing higher reproducibility and more comprehensive proteome coverage.

• • Workflow of DIA in Protein Quantification

  Data-Independent Acquisition (DIA) technology is a widely used quantitative analysis method in proteomics research. Unlike the traditional Data-Dependent Acquisition (DDA), DIA technology allows for the simultaneous monitoring of all detectable peptides, thus enhancing data comprehensiveness and quantification accuracy.

• • Advantages and Disadvantages of DIA in Protein Quantification

  Data-Independent Acquisition (DIA) technology has rapidly gained popularity in proteomics research. By enabling the simultaneous collection of fragment ion data from all peptides, DIA overcomes many of the limitations associated with traditional Data-Dependent Acquisition (DDA) methods.

• • Principle of DIA in Protein Quantification

  In modern proteomics research, accurate quantitative analysis is vital for elucidating protein expression changes across various biological conditions. Data-Independent Acquisition (DIA) technology has emerged as a leading method for protein quantification due to its superior sensitivity, reproducibility, and comprehensive coverage.

• • Application of Peptide Sequencing

  Peptide sequencing is a pivotal technique for determining the amino acid sequence in proteins, offering substantial benefits across various fields such as protein structure and function analysis, disease diagnosis and treatment, drug development, biotechnology, and environmental science. Below, the diverse applications of peptide sequencing are explored in detail.