Untargeted Metabolomics

Untargeted metabolomics, also known as untargeted metabolomics or discovery metabolomics, analyzes all small molecule metabolites simultaneously without bias.

Research Process

Application Fields

Medical research

Disease marker screening, etiological and pathological mechanism investigation, disease recurrence diagnosis, disease diagnosis and typing, clinical efficacy evaluation, pharmacotoxicological evaluation, etc.

Life science research

Research on abiotic environment relationship, metabolic pathway and functional genome research, plant and microorganism research, application in medicinal plant research, application in phenotype identification, etc.

Product Advantages

Equipment with a variety of advanced equipments

Metabolomics instrument platforms such as Agilent7890A-5975C GC-MS, Thermo LTQ Orbitrap XLTM combined mass spectrometer, etc.

Multiple commercial databases

With multiple commercial databases, and more than 2,000 standard databases, making the qualitative results more accurate.

Full sets equipped facilities

Diversified supporting software, custom data analysis system, and literature analysis system help you complete scientific research work easily.

Provide personalized service

With a professional bio-informatics team and large capacity computers, we can provide personalized bio-informatics analysis services for our partners.

Reliable experiment results

Using strict method validation steps and multiple quality controls to ensure reliable experiment results

Perfect after-sales service

From report interpretation to article publication, Panomix provides efficient and high-quality after-sales service throughout the process.

Experimental Design

Untargeted metabolomics is used to detect and quantify the overall metabolite information of biological samples, classify samples with different treatments or physiological states, and detect through untargeted metabolomics methods to find differential metabolites from different groups, used for the study of subsequent physiological mechanisms.

Analyze Content

Hierarchical cluster analysis of differential metabolome

OPLS-DA_score

Histogram of differential metabolites

Case Analysis

The HGF-MET Axis Coordinates Liver Cancer Metabolism and Autophagy for Chemotherapeutic Resistance The HGF-MET Axis Coordinates Liver Cancer Metabolism and Autophagy for Chemotherapeutic Resistance

Journal: Autophagy Impact factor: 11.059 Published date: 2019 Published by: The First Affiliated Hospital of Zhejiang University School of Medicine

Research content and innovation

HGF stimulus facilitated the Warburg effect and glutaminolysis to promote biogenesis in multiple liver cancer cells.We then identified the pyruvate dehydrogenase complex (PDHC) and GLS/GLS1 as crucial substrates of HGF-activated MET kinase; MET-mediated phosphorylation inhibits PDHC activity but activates GLS to promote cancer cell metabolism and biogenesis. Moreover, we verified that Y1234/1235-dephosphorylated MET correlated with autophagy in clinical liver cancer.

Figure 1.HGF-MET signaling promotes liver cancer metabolism and biogenesis via PDHC and GLS.

Figure 2.HGF-MET-targeted drugs induce autophagy to reset biogenesis in liver cancer

Conclusion

The combined application of MET inhibitors and autophagy inhibitors significantly improved the treatment efficiency of liver cancer in test tubes and mice.

Reference

Renaudin Felix,Orliaguet Lucie,Castelli Florence et al. Gout and pseudo-gout-related crystals promote GLUT1-mediated glycolysis that governs NLRP3 and interleukin-1β activation on macrophages.[J] .Ann. Rheum. Dis., 2020