Resources

Proteomics Databases



Metabolomics Databases

• • Histone Phosphorylation Detection: Sample Preparation Methods That Improve Sensitivity

  Sample preparation methods that improve histone phosphorylation detection: phosphatase inhibition, acid extraction, propionylation, fractionation, and enrichment.

• • LC-MS/MS-Based Exosome Proteomics Workflow: Isolation, Digestion, Acquisition, and Analysis

  A step-by-step LC-MS/MS exosome proteomics workflow from isolation and digestion through DDA/DIA/PRM acquisition and bioinformatics.

• • New Advances in Single-Cell Proteomics: The Potential of 4D Platforms for Limited-Sample Analysis

  Molecular analysis at the single-cell level is emerging as a major driver of precision medicine. Although transcriptomics has been widely applied in single-cell research, proteomics has long been constrained by technical bottlenecks. Protein abundance in single cells or extremely limited samples is exceptionally low, typically at the picogram level, making it difficult for mass spectrometry to balance sensitivity, quantitative accuracy, and throughput. In recent years, 4D proteomics platforms based on......

• • Comparison of 4D Label-Free Quantitative Proteomics and TMT Quantitative Proteomics

  In proteomics research, quantitative analysis is central to elucidating biological differences and underlying mechanisms. Currently, two of the most widely used quantitative strategies are 4D Label-Free quantitative proteomics and TMT quantitative proteomics using isobaric labeling. With continued advances in mass spectrometry, particularly the emergence of 4D proteomics integrating ion mobility (IM), DIA acquisition, and deep learning-assisted data analysis, the performance of Label-Free quantificati......

• • Antibody Characterization Guide: Sample Preparation, Analytical Methods, and Data Interpretation

  A practical antibody characterization guide covering sequence confirmation, purity, glycosylation, binding affinity, stability, and interpreted analytical data.

• • Phosphoproteomics Analysis in Cancer Research: Signaling Networks, Kinase Activity, and Clinical Applications

  How phosphoproteomics analysis in cancer research maps kinase signaling, drug resistance, and biomarkers through enrichment, LC-MS/MS, and pathway analysis.

• • The Role of Immunopeptidomics in Cancer Vaccine Development: Neoantigens, MHC Presentation, and Clinical Translation

  How immunopeptidomics supports cancer vaccine development through MHC peptidome identification, neoantigen validation, and immune monitoring.

• • Labeling-Based Quantitative Phosphoproteomics: TMT, iTRAQ, SILAC, and Enrichment Strategies

  Technical analysis of labeling-based quantitative phosphoproteomics covering TMT, iTRAQ, SILAC, phosphopeptide enrichment, and signaling applications.

• • Bottom-Up Proteomics Data Analysis Pipeline: From Sample Prep to Pathway Interpretation

  A standardized bottom-up proteomics data analysis pipeline from protein digestion and LC-MS/MS through identification, quantification, QC, and pathway enrichment.

• • Top 6 Tools for Bottom-Up Proteomics Data Analysis: MaxQuant, FragPipe, Proteome Discoverer, and More

  Compare six leading bottom-up proteomics data analysis tools for identification, quantification, PTM analysis, and targeted workflows.