- Untargeted Metabolomics
- Lipidomics
- Targeted Metabolomics
- Functional Metabolomics
-
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
Target isotope tracing analysis
Stable isotope labeling-based targeted metabolic pathway analysis enables the systematic quantification of the flow distribution of specific metabolic pathways within cells or tissues and the relative contributions of various metabolic pathways. Its advantages lie in the utilization of mass isotopic information of intracellular metabolites, offering an analysis method that not only intuitively demonstrates the overall direction of metabolic pathway in many cases but also accurately quantifies the activity of individual metabolic reactions within cells. This approach allows for a profound understanding of complex intracellular metabolic processes, including parallel reactions and reversible reactions.
Technical Advantages:
- Mature technology with high sensitivity
- Professional data analysis team employing software such as Matlab flux-8 for raw data processing and conducting analyses such as PCA, bar charts, heatmaps, Bi-plots, etc.
Application Directions:
- Revealing major metabolic pathways and early diagnostic biomarkers for various metabolic diseases under different environmental conditions
- Identifying key metabolic pathways and activities in genetically engineered bacteria through 13C metabolic pathway technology, providing direct evidence for enhancing the synthesis of target metabolic products
- Comparative analysis of changes in cellular, tissue, blood, and urine metabolism before and after genetic modification
Collaborative Cases:
- "N6-methyladenosine (m6A) in 18S rRNA promotes fatty acid metabolism and oncogenic transformation" (2022) Nature Metabolism. (Impact Factor=19.865) [Customer's Publication]
- "Integration of glucose and cardiolipin anabolism confers radiation resistance of HCC" (2022) Hepatology. (Impact Factor=17.298) [Customer's Publication]
BIOTREE Tech
ADDRESS
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