Proteins are the direct functional executors of the organism. Based on improved methods and advanced instruments, proteomics can greatly facilitate researchers to tackle complex and dynamic processes, including viral infections. Metabolites are the end product of altered gene expression, which can directly and accurately reflect the pathological and physiological state of the organism. Metabolomics provides a holistic picture of host metabolism, providing information on the essential features and material basis of life. Through combined proteomics and metabolomics analyses, the analysis results of the two groups can be mutually verified to improve the success rate of subsequent experimental verification. Besides, it helps to complement each other and make research more systematic. Finally, a comprehensive understanding of the general trend and direction of biological change can be achieved, and proteins or metabolites related to key metabolic pathways can be screened out, so as to provide data basis for subsequent in-depth experiments and analysis.
Proteomics is the science of studying the protein composition of cells, tissues or organisms and the patterns of their changes. Based on improved mass spectrometry (MS)-based methods, we can use proteomics technology to provide rapid and large-scale viral protein characterization, significantly contributing to understanding host-viral protein interactions, finding biomarkers to monitor the infection course, and exploring the mechanisms of viral pathogenesis. Metabolomics can identify characteristic metabolic responses associated with phenotypes. Based on metabolomics technologies, unique metabolic characteristics of viral infection and metabolite association analysis can be obtained to facilitate further study of viral pathogenesis and biomarker analysis.
Rely on the new technology combination of proteomics and metabolomics platforms, we can better provide more comprehensive and accurate information from multiple dimensions, producing more valuable results for further virus research. We provide standard data analysis and advanced analysis according to customer's specific project requirements. Standard data analyses include combined analysis of KEGG metabolic pathways, correlation analysis, and other common analyses. Advanced analyses contain multivariate statistical analysis, weighted gene co-expression network analysis (WGCNA) and so on. The general workflow for integrated proteomics and metabolomics analyses is as follows,
The combination of metabolomics and proteomics analysis is regarded as a powerful tool and has been applied in biomarker discovery and pathophysiological research. Creative Proteomics is proud to offer viral multi-omics analysis services to advance virus research. We are committed to providing high-quality and customized service to greatly accelerate our customers' project progress and success. Feel free to contact us with any questions about our services. We will be delighted to provide you with all the support we can to help establish a sustaining professional partnership.
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