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Integrative Analysis of 16S and Metabolomics

Based on the advanced technology platform, Creative Proteomics provides 16S sequencing and metabolomics testing services and integrated analysis services of 16S-metabolomics. We can provide you with a one-stop service from experimental design, sample detection, independent omics data analysis to integrative analysis to meet a variety of research needs.

Why Do Integrative Analysis of 16S and Metabolomics?

16S analysis obtained the distribution characteristics of species in the sample and the difference species between groups. However, metabolites are more related to phenotype. For example, some metabolites produced by microorganisms in the human/animal gut may cause disease or treatment of the host; the metabolites of microorganisms in the fermentation process also directly affect the fermentation quality. Therefore, in order to further analyze which species through which metabolites produce intergroup differences from a large population of microorganisms and metabolites, or to study the relationship between gut microbiota and host metabolic phenotypes and how microbial communities affect metabolic function, It is necessary to carry out the association analysis of 16S and metabolites.

Our Integrative Analysis Services of 16S and Metabolomics

Creative Proteomics provides you with one-stop 16S sequencing and metabolomics testing services. In addition, we provide comprehensive analysis services for 16S and metabolomics, seamlessly connecting your experiments to provide powerful insights into the evidence of complex life activity mechanisms. In addition, combining microbiomics and metabolomics can help in-depth study of how the gut microbial community affects metabolic function and the metabolite-microbe-disease relationship.

Bioinformatics Analysis

Based on the omics data of samples in which microbial 16S and metabolome (untargeted / targeted metabolome) correspond one-to-one, we first screened differential strains and metabolites between groups from the 16S and metabolic levels, respectively; then we performed an integrated analysis based on their expression quantity / function correlation. In this way, the correlation between specific flora and specific metabolites (groups) is revealed, and the key strains that cause changes in the metabolic state or functional metabolic small molecules of the flora are screened.

Our Integrative Analysis Services of 16S and Metabolomics

In the study of the association mechanism of microorganisms and hosts, 16S analysis obtained information such as species distribution characteristics of samples and different species between groups, while transcriptomics can reflect the expression activity of hosts. In order to further explore the specific molecular mechanism of the relationship between the health, disease, growth, and stress resistance of microorganisms and hosts (humans, animals and plants, etc.), the association analysis of species and genes / functions can also be carried out. Therefore, in order to identify which species are associated with which gene expression from the huge collection of microorganisms and genes, and the differences in grouping arise, it is necessary to perform 16S-transcriptomics association analysis.

Our Integrative Analysis Services of RNA-seq and 16S

Creative Proteomics provides you with one-stop RNA-seq and 16S sequencing services. In addition, we offer integrated analysis services of RNA-seq and 16S, seamlessly connecting your experiments to provide powerful insights into the evidence of complex life activity mechanisms.

Bioinformatics Analysis

Based on the sample data of one-to-one correspondence between microorganisms and transcriptomes, in the integrated analysis, we will use three models: (1) O2PLS model (bidirectional orthogonal projections to latent structures), which uses data on species abundance and gene expression to build a model. Through model prediction, the associated species and gene sets are obtained. (2) Correlation coefficient model (sample group ≥ 3), calculate the pearson correlation coefficient of species abundance and gene expression, and display them in heat map and network diagram. (3) CCA model (canonical correlation analysis), which analyzes the relationship between genes and species distribution in the form of dimensionality reduction (the gene name used for CCA analysis needs to be provided).

Bioinformatics Analysis

Delivery Content

Creative Proteomics will provide you with a detailed report, including:

  • Related analysis software and parameters used
  • Graphs obtained from the integrated analysis

Why Choose Us?

  • Professional bioinformatics analysis. Creative Proteomics has a strong bioinformatics team, which can meet various in-depth data analysis needs of customers, and can also provide integrated analysis services with other omics.
  • One-stop service. Customers only need to provide samples, and Creative Proteomics will complete the full-service process from sample preparation, library preparation, high-throughput sequencing / Mass detection to bioinformatics analysis, as well as integrated analysis of multi-omics.
  • Tailored and personalized analysis content is available for special projects.

Case Study

Intestinal Flora Modulates Blood Pressure by Regulating the Synthesis of Intestinal-Derived Corticosterone in High Salt-Induced Hypertension

Journal: CIRCRESAHA
Impact factor: 15.862
Published: 2020

Backgrounds

A high salt diet is one of the important risk factors for hypertension. Intestinal flora has been reported to be associated with high salt-induced hypertension (hSIH). However, the specific role of intestinal flora in the pathogenesis of hSIH has not been fully elucidated. This article focuses on the role of intestinal flora in the development of hSIH and its mechanisms.

Materials & Methods

Rats faeces
16Sr RNA gene sequencing and Untargeted metabolomics

Conclusions

hSIH could be transferred by fecal microbiota transplantation, indicating the pivotal roles of intestinal flora in hSIH development. High-salt diet reduced the levels of B fragilis and arachidonic acid in the intestine, which increased intestinal-derived corticosterone production and corticosterone levels in serum and intestine, thereby promoting BP elevation. This study revealed a novel mechanism different from inflammation/immunity by which intestinal flora regulated BP, namely intestinal flora could modulate BP by affecting steroid hormone levels. These findings enriched the understanding of the function of intestinal flora and its effects on hypertension.

Schematic diagram representing the mechanism of high salt–induced hypertension via modulating gut microbiota and gut-derived hormoneFig.1 Schematic diagram representing the mechanism of high salt–induced hypertension via modulating gut microbiota and gut-derived hormone

Creative Proteomics relies on advanced platforms and cutting-edge technologies to provide omics services to customers around the world, and provide accurate and detailed analysis reports. In addition, we also provide multi-omics integrated analysis services. If you want to know more, please contact us, Creative Proteomics can be trusted.

Reference

  1. Yan X, Jin J, Su X, Yin X, Gao J, Wang X, Zhang S, Bu P, Wang M, Zhang Y, Wang Z, Zhang Q. Intestinal Flora Modulates Blood Pressure by Regulating the Synthesis of Intestinal-Derived Corticosterone in High Salt-Induced Hypertension. Circ Res. 2020 Mar 27;126(7):839-853. doi: 10.1161/CIRCRESAHA.119.316394. Epub 2020 Feb 13. PMID: 32078445.
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