The study of gut microbiota has gained increasing research interest also driven by the recognition of the important role in human health and disease. Metaproteomics refers to the study of the entire set of proteins from all microorganisms present in one ecosystem, which has become a prominent technique for getting the panorama of the connection between gut microbial diversity, functions and the impact on host biology. Since proteins carry out most functions in cells and correlate quite well with microbial activity, metaproteomics has been widely applied to study gut microbiota varied from factors such as age diet and has also thrown light upon researches into dysbiosis.
With the enormous advances of technologies especially various chromatography and spectroscopy techniques, which generates a huge amount of metaproteomics data whereby bioinformatics and statistical methods are introduced to interpret the data and to excavate deeper and more comprehensive information to gain more understanding of gut microbial activities.
CD Genomics, as a preeminent corporation that specializes in multi-omics and equipped with state-of-the-art techniques and bioinformatics platforms, as well as well-experienced scientists, provides comprehensive and delicate bioinformatics services for your gut microbiota research. Various separation and detection techniques of different resolution, sensitivity, and technological limitations can be used for the analyses of metaproteomics to provide plentiful data. We offer diversified data analysis services to meet the needs of your metaproteomics programs, which include but not limited to:
Protein database searching and annotation | To perform data analysis referencing within both public and commercial databases to guarantee the comprehensiveness and accuracy of the comparison and annotation. de novo searching and homology searching are also available. |
Quantitative taxonomic analysis | Protein quantification is crucial for comparative metaproteomics studies. Quantification at the taxonomic perspective will largely indicate the status of the microbiota. |
Phylogenetic analysis | Phylogenetic trees can be used to obtain phylogenetic distances between samples. |
Statistical analysis | |
- Univariate analysis | The comparison of microbial metaproteomics associated with a single variable between samples and sample sets. |
- Multivariate analysis | The comparison of microbial metaproteomics associated with multiple variables between samples and sample sets, mostly performed with methods such as PCA, PLS-DA, and OPLS-DA. |
- High-dimensional feature selection | High-dimensional datasets can consist of hundreds and thousands of features. The feature selection is commonly employed for identifying collectively-predictive biomarkers and biosignatures in an easy to verify, easy to comprehend, and visualized manner. |
- Clustering | Dividing observed datasets into a few subclasses or clusters on the basis of a selected statistical distance function. |
- Supervised classification | Can be used to select the important features that might elucidate biomarkers. Algorithms include PLS, ANOVA, PLS-DA, etc. |
Data visualization | Provides data visualization of various analyses, including but not limited to taxonomic profiles and pathway mapping. |
Functional annotations | Comparing the individual proteins in databases and assigning a unique function to each one. |
Metabolic pathways linking analysis | The assignment of certain proteins to specific metabolic pathways will facilitate the understanding of key cellular signaling and metabolic networks and unveil biological mechanisms of the microbiota. |
Coupled state-of-the-art techniques with powerful analysis platforms that carry abundant analytical tools and sophisticated pipelines, we have full capability of exploring the taxonomic and functional compositions of gut microbial communities that play crucial roles in human health. Correspondingly, we provide comprehensive and delicate bioinformatics services for your gut microbiota research in order to bring more blessings for our future. To find out more about our bioinformatics services to meet your specific needs, please feel free to contact us!
*For Research Use Only. Not for use in diagnostic procedures.