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MULTIOMICS

Multiomics Overview

Gain deeper insights into complex biological systems to unlock new discoveries with a comprehensive multiomic approach.

  • Unravel Disease Mechanisms
  • Accelerate Drug Discovery
  • Personalize Medicine

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Metabolomics in Genomics Research

Combining genomics and metabolomics technologies offers a powerful approach for understanding complex biological systems and disease mechanisms. Genomics provides insights into genetic variations and potential disease risk factors, while metabolomics reveals the dynamic changes in metabolic pathways and their products. Integrating these technologies allows researchers to link genetic information with metabolic profiles, uncovering how genetic variations influence metabolic processes and contribute to disease. This synergy enhances the ability to identify biomarkers, understand disease mechanisms, and develop personalized treatments. By correlating genomic data with metabolite levels, scientists can gain a more comprehensive view of health and disease, leading to improved diagnostics and therapeutic strategies.

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Using Metabolomics in Proteomics Research

Unlike proteins, which are situated at an intermediate step in the central dogma of biology, metabolites usually constitute the final stage of biological processes, making them reflectors of the combined inputs from the genome, proteome, microbiome, and environment. Thus, using metabolomics to evaluate the metabolome alongside the proteome is beneficial for numerous types of studies including, but not limited to, characterizing mechanisms of disease onset and progression, evaluating the therapeutic response, and elucidating various facets of non-human biology.

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Metabolomics Complements Transcriptomics

Metabolomics can significantly enhance transcriptomics research by providing a dynamic view of the functional outputs of gene expression. While transcriptomics focuses on the quantification of RNA transcripts to infer gene activity, metabolomics examines the small molecules produced during metabolic processes, which are direct products of cellular functions. By integrating these two approaches, researchers can correlate changes in gene expression with alterations in metabolic profiles, thereby gaining a deeper understanding of cellular responses and regulatory mechanisms. This synergy allows for the identification of metabolic pathways influenced by specific gene expressions, revealing potential biomarkers and therapeutic targets.

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The Microbiome and Metabolomics

Targeted or shotgun 16S rRNA sequencing is typically used to identify the bacteria species and strains in the gut microbiome. However, this only reveals part of the picture. As key drivers of metabolism, metabolites not only receive inputs from the genome, proteome, and environment, they also represent the terminal step of biological processes, which makes them the closest reflection of an organism’s real-time physiologic status. Given this interconnectivity, evaluating metabolomics alongside other omics is essential to gaining a comprehensive understanding of the gut microbiome and its effects on human physiology.

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“Metabolon has developed a solid, scalable solution to the non-trivial problem of metabolomics biochemical interpretation, specifically tailored to their world-leading data acquisition platform. Leveraging decades of experience in data curation, Metabolon provides intuitive visualization tools for pathway analysis and disease association, adding even more value to an already outstanding product.”

David Broadhurst, PhD
Professor of BioSystems Data Science at Edith Cowan University, Australia.

Featured Resources

Explore our featured resources that discuss metabolomics as a complement to other omic technologies to provide a holistic view of health. Find more here.

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eBook: Guide to Multiomics

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Webinar: Metabolomics in Multiomics Research: 5 Key Case Studies of Multiomics Research Driving Novel Insight Discovery

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eBook: Bringing the Genome to Life with Metabolomics

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