- Untargeted Metabolomics
- Lipidomics
- Targeted Metabolomics
- Functional Metabolomics
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Proteomics
- Nanoparticle proteomics
- iTRAQ/TMT-based Proteomics Analysis
- Label free Quantitative Proteomics
- Protein Identification
- DIA proteomics
- Peptidomics
- Parallel Reaction Monitoring (PRM) Targeted Proteome
- Metpro -Ⅱ Protein-Metabolite Interactions
- Phosphoproteomics
- Acetylation Analysis
- Protein Ubiquitination Analysis
Peptidomics is to study the structure, function, change law and correlation of polypeptide groups based on endogenous peptides and low molecular weight proteins. There is no obvious boundary between polypeptide and protein. It is generally considered that proteins with molecular weight less than 10kDa are called polypeptides. Both peptidomics and proteomics are complementary to genomics. Peptide can reflect the process of protein synthesis, processing and degradation under different physiological and pathological conditions, and regulate the process of gene expression and metabolism. Therefore, peptidomics is considered as a "bridge" between proteomics and metabolomics.
Advantages
High efficiency: improve the efficiency of extracting endogenous peptides from samples
High throughput: study the endogenous peptides of multiple samples at the same time
High specificity: non antibody dependent, no antibody cross reaction
Qualitative and quantitative: realize the qualitative and quantitative analysis of endogenous peptides
Less damage: ensure the naturalness of the extracted peptides
Application
Identification of peptides in cell, tissue and body fluid samples under a certain physiological state.
Neuropeptide / signal peptide research.
Cell antigen epitope prediction.
Development of novel peptide drug precursors.
Biomarker as a new disease.
Natural antibacterial / antiviral peptides.
Study on catalytic reaction of unknown enzymes in vivo.
Finding new functional peptide molecules.
