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Integrative Systems Biology and Multi-omics

Unlock deeper biological insights by integrating multiple layers of omics data with our Integrative Systems Biology and Multi-Omics services. At Cmbio, we help you maximize the potential of your microbiome studies by combining data from various platforms such as metagenomics, metabolomics, transcriptomics, proteomics, and epigenomics. This holistic approach enables a more detailed understanding of the intricate relationships between the microbiome and host physiology, as well as the effects of interventions.

Integrative Systems Biology and Multi-omics

Unlock deeper biological insights by integrating multiple layers of omics data with our Integrative Systems Biology and Multi-Omics services. At Cmbio, we help you maximize the potential of your microbiome studies by combining data from various platforms such as metagenomics, metabolomics, transcriptomics, proteomics, and epigenomics. This holistic approach enables a more detailed understanding of the intricate relationships between the microbiome and host physiology, as well as the effects of interventions.
 

Why Multi-Omics Data Integration?

Multi-omics microbiome analysis is enhancing our understanding of human health and disease. By integrating different types of omics data, allows:

  • Decode Genetic and Metabolic Signatures: Gain insights into the genetic makeup and metabolic activities of microbial communities.

  • Elucidate Mechanisms of Action: Understand how interventions affect the microbiome and, in turn, how these changes impact host health.

  • Navigate Data Complexity: Connect the dots between various data types to build a consistent and biologically meaningful narrative.

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Our Multi-Omics Integration Services
 

High-Quality Data Generation

We offer high-quality data generation services for:

  • Metagenomics: Comprehensive sequencing of all microbial genomes present in your samples.

  • Metabolomics: Profiling of metabolites to understand metabolic changes and interactions.

  • Proteomics: Analysis of proteins to uncover functional insights and molecular mechanisms.

  • Metatranscriptomics: Sequencing of RNA transcripts to study gene expression patterns within microbial communities.

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Data Integration and Analysis

Our services are designed to help you navigate the complexity of multi-omics data integration:

  • Customized Analysis Pipelines: Tailored workflows that combine different omics datasets and clinical data.

  • Expert Interpretation: Our team has years of experience in multi-omics data integration, ensuring accurate and meaningful interpretations.

  • Beyond Correlation: We help you move beyond simple correlations to identify mechanistic links and biological understandings.

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Combine the Power of Metabolomics and Metagenomics

Integrating metabolomics and metagenomics data can lead to new insights and breakthroughs in understanding host-microbiome interactions. By combining these datasets, you can:

  • Identify Biomarkers: Discover metabolic signatures associated with specific microbial compositions.

  • Understand Host Responses: Elucidate how microbial metabolites influence host physiology and disease states.

  • Enhance Therapeutic Strategies: Inform the development of targeted interventions based on metabolic and microbial profiles.

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Our Contributions to Multi-Omics Integration

Our team at Cmbio has a proven track record in multi-omics data integration, contributing to significant scientific advancements in the field. Below are some of our key publications that highlight our expertise and the effectiveness of multi-omics approaches:

Human Gut Microbes Impact Host Serum Metabolome and Insulin Sensitivity

 

This study demonstrated how gut microbiota influence the host's serum metabolome and insulin sensitivity. By integrating metagenomic and metabolomic data, we identified specific microbial species and metabolites associated with insulin resistance, providing valuable insights into the role of the microbiome in metabolic health.

 

Reference

Pedersen, H., Gudmundsdottir, V., Nielsen, H. et al. Human gut microbes impact host serum metabolome and insulin sensitivity. Nature 535, 376–381 (2016). https://doi.org/10.1038/nature18646

A Computational Framework to Integrate High-Throughput '-Omics' Datasets for the Identification of Potential Mechanistic Links

 

Our team developed a computational framework for integrating high-throughput omics datasets, enabling the identification of potential mechanistic links between microbiome composition and host health.

 

Reference

Pedersen, H.K., Forslund, S.K., Gudmundsdottir, V. et al*.* A computational framework to integrate high-throughput ‘-omics’ datasets for the identification of potential mechanistic links. Nature Protocols 13, 2781–2800 (2018). https://doi.org/10.1038/s41596-018-0064-z

An Online Atlas of Human Plasma Metabolite Signatures of Gut Microbiome Composition

 

This recent publication presents an extensive online atlas linking human plasma metabolite signatures with gut microbiome composition, facilitating further research and understanding in the field.

 

Reference

Dekkers, K.F., Sayols-Baixeras, S., Baldanzi, G. et al. An online atlas of human plasma metabolite signatures of gut microbiome composition. Nature Communications 13, 5370 (2022). https://doi.org/10.1038/s41467-022-33050-0

Why Choose Cmbio for Multi-Omics Integration

  • Expertise: Our team has extensive experience in multi-omics data integration and systems biology, as evidenced by our impactful publications.

  • Customized Solutions: We tailor our services to meet your specific research goals and challenges.

  • Advanced Computational Tools: Utilize state-of-the-art bioinformatics pipelines and analytical methods developed and refined through our own research.

  • Collaborative Approach: We work closely with you to ensure that the integration of data leads to actionable insights.