Resources

Proteomics Databases



Metabolomics Databases

• • Label Transfer in Protein Interaction Studies: Principle, Workflow, and Method Selection

  A practical guide to label transfer for protein interaction studies, including bait-prey labeling, activation, label transfer, MS detection, applications, controls, limitations, and method selection.

• • Top-Down Protein Sequencing Principle: Intact Protein MS, Fragmentation, and Proteoform Analysis

  A practical guide to top-down protein sequencing, including intact protein preparation, high-resolution MS, fragmentation, proteoform analysis, PTM preservation, applications, and limitations.

• • How Post-Translational Modifications Affect Protein Function?

  A practical guide to how post-translational modifications regulate protein activity, stability, localization, interactions, signaling, metabolism, disease mechanisms, and MS-based PTM analysis.

• • Glycan Profiling Methods vs Phosphoproteomics: Key Differences in Targets, Workflows, and Data

  A practical comparison of glycan profiling methods and phosphoproteomics, including analytical targets, sample preparation, LC-MS workflows, enrichment strategies, applications, limitations, and method selection.

• • Protein Analysis Mechanisms: How Extraction, Separation, Identification, and Quantification Work

  A practical guide to protein analysis mechanisms, including sample preparation, separation, LC-MS/MS identification, quantification, PTM analysis, structural methods, limitations, and method selection.

• • 4D Label-Free Quantitative Proteomics Workflow: From Sample Prep to Data Interpretation

  A practical guide to the 4D label-free quantitative proteomics workflow, including sample preparation, ion mobility, PASEF acquisition, data analysis, QC, and method limitations.

• • Protein Interaction Network Analysis for Disease Research and Target Discovery

  A practical guide to protein interaction network analysis, including disease mechanism research, drug target discovery, omics integration, method selection, and evidence-quality limits.

• • Experimental vs Computational Methods for Protein Interaction Detection

  Protein-protein interactions (PPIs) constitute the foundation of cellular functional networks, governing signal transduction, metabolic regulation, and disease pathogenesis. Elucidation of PPI networks not only advances our understanding of biological processes but also provides critical guidance for drug target discovery. Moreover, systematic investigation of PPIs offers essential insights into molecular mechanisms and supports the development of diagnostic and therapeutic strategies. With advances i......

• • SPR vs. BLI vs. ELISA: Comparing the Advantages and Limitations of Three Antibody Assay Techniques

  The investigation of antibody-antigen interactions represents a central component of life sciences, drug development, and immunodiagnostics. The selection of an appropriate analytical technique is critical for ensuring the accuracy of experimental results and the reliability of data interpretation. Surface Plasmon Resonance (SPR), Bio-Layer Interferometry (BLI), and Enzyme-Linked Immunosorbent Assay (ELISA) are currently among the most widely employed antibody detection methods. Each technique has dis......

• • How to Conduct Research on Mitochondrial Protein-Protein Interaction Networks?

  Mitochondria are traditionally regarded as the "powerhouse" of the cell; however, their roles extend far beyond ATP production. Recent studies indicate that mitochondria are also involved in critical cellular processes, including apoptosis, metabolic regulation, immune signaling, and oxidative stress responses. Mitochondrial functions rely on the coordinated interactions among thousands of proteins, and the protein-protein interaction (PPI) networks formed by these proteins provide a critical framewor......