Resources

Proteomics Databases



Metabolomics Databases

• • LC-MS Histone Modification Detection: PTM Signatures, Workflows, and Quantification

  A practical guide to LC-MS histone modification detection, covering histone extraction, peptide preparation, enrichment, acetylation, methylation, phosphorylation, mass shifts, site localization, and quantitative PTM analysis.

• • DIA vs DDA Proteomics: Acquisition Strategy, Quantification, and Method Selection

  A practical comparison of DIA and DDA proteomics, including precursor selection, MS/MS complexity, reproducibility, missing values, spectral libraries, quantitative accuracy, and application scenarios.

• • Main Types of Protein Glycosylation: N-Linked, O-Linked, GPI Anchors, and Glycoproteomics

  A practical guide to the main types of protein glycosylation, including N-linked glycosylation, O-linked glycosylation, GPI anchors, C-mannosylation, glycation, site analysis, and LC-MS/MS glycoproteomics.

• • How to Identify Amino Acids and Modification Sites from a Mass Spectrum

  A practical guide to reading peptide mass spectra, using residue mass differences, b/y ions, neutral losses, database search, de novo sequencing, and PTM localization to identify amino acids and modification sites.

• • Activity-Based Protein Profiling in Drug Discovery: Target Identification, Selectivity, and Mechanism Studies

  A practical guide to activity-based protein profiling (ABPP) in drug discovery, including probe design, competitive ABPP, target identification, selectivity profiling, mechanism-of-action studies, and biomarker discovery.

• • Bottom-Up Proteomics in Single-Cell Proteomics: Challenges, Solutions, and Opportunities

  A practical guide to bottom-up single-cell proteomics, covering sample loss, microfluidics, TMT carrier channels, LC and CE separation, DIA acquisition, missing values, and data analysis.

• • Protein Expression Profiling: Quantitative Proteomics Workflow, Applications, and Method Selection

  A practical guide to protein expression profiling using LC-MS/MS quantitative proteomics, covering sample preparation, label-free and DIA workflows, data analysis, biomarkers, drug targets, and study design.

• • Glycoproteomics in Neuroscience: Mapping Neural Glycosylation, Biomarkers, and Drug Targets

  A practical guide to glycoproteomics in neuroscience, covering neural glycoproteins, glycopeptide enrichment, LC-MS/MS analysis, disease biomarkers, neurodevelopmental studies, and target discovery.

• • Protein Amino Acid Sequence Determination: Edman Degradation, MS Sequencing, and Method Selection

  A practical guide to protein amino acid sequence determination, including Edman degradation, LC-MS/MS protein sequencing, de novo sequencing, terminal sequencing, applications, limitations, and method selection.

• • Proteomics Data Quality Assessment Workflow: QC Metrics, Filtering, and Validation

  A practical guide to proteomics data quality assessment, covering preprocessing, filtering, normalization, statistical QC, missing values, batch effects, validation, and reporting.