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Findings in the Area of Biotechnology Reported from University of Washington (Towards a predictive systems-level model of the human microbiome:...

August 13, 2014



Findings in the Area of Biotechnology Reported from University of Washington (Towards a predictive systems-level model of the human microbiome: progress, challenges, and opportunities)

By a News Reporter-Staff News Editor at Biotech Week -- Data detailed on Technology have been presented. According to news reporting from Seattle, Washington, by NewsRx journalists, research stated, "The human microbiome represents a vastly complex ecosystem that is tightly linked to our development, physiology, and health. Our increased capacity to generate multiple channels of omic data from this system, brought about by recent advances in high throughput molecular technologies, calls for the development of systems-level methods and models that take into account not only the composition of genes and species in a microbiome but also the interactions between these components."

The news correspondents obtained a quote from the research from the University of Washington, "Such models should aim to study the microbiome as a community of species whose metabolisms are tightly intertwined with each other and with that of the host, and should be developed with a view towards an integrated, comprehensive, and predictive modeling framework. Here, we review recent work specifically in metabolic modeling of the human microbiome, highlighting both novel methodologies and pressing challenges. We discuss various modeling approaches that lay the foundation for a full-scale predictive model, focusing on models of interactions between microbial species, metagenome-scale models of community-level metabolism, and models of the interaction between the microbiome and the host."

According to the news reporters, the research concluded: "Continued development of such models and of their integration into a multi-scale model of the microbiome will lead to a deeper mechanistic understanding of how variation in the microbiome impacts the host, and will promote the discovery of clinically relevant and ecologically relevant insights from the rich trove of data now available."

For more information on this research see: Towards a predictive systems-level model of the human microbiome: progress, challenges, and opportunities. Current Opinion In Biotechnology, 2013;24(4):810-20. (Elsevier - www.elsevier.com; Current Opinion In Biotechnology - www.elsevier.com/wps/product/cws_home/601293)

Our news journalists report that additional information may be obtained by contacting S. Greenblum, Dept. of Genome Sciences, University of Washington, Seattle, WA 98195, United States. Additional authors for this research include H.C. Chiu, R. Levy, R. Carr and E. Borenstein (see also Technology).

Keywords for this news article include: Seattle, Washington, Technology, United States, North and Central America.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Biotech Week


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