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    Review: Worms, bugs and drugs: Caenorhabditis elegans as a model for host-microbe-drug interactions

    The microbiota plays a critical role in human health and disease. For instance, the gut microbiota aides in the digestion of foods, thereby contributing to our ability to metabolize compounds from our diet. Recently, it has become clear that the

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    Dr. Walhout receives $4.1 million outstanding investigator award from NIH

    Marian Walhout, PhD, has received a 5-year, $4.1 million Maximizing Investigators’ Research Award (MIRA) from the National Institutes of Health to continue her study of metabolism and gene expression and how they interact.

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    Dr. Walhout Appointed to Endowed Chair

    UMass Chan Medical School will invest three faculty members into newly endowed chairs and three more to existing endowed chairs, according to a vote by the University of Massachusetts Board of Trustees at its April 12 meeting. Marian Walhout, PhD, professor

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    Keynote Lecture: Gene Regulatory Networks

    Marian presented the keynote lecture at the Cold Spring Harbor Laboratory meeting on Systems Biology: Networks in March 2017. Introduction by our collaborator Chad Myers of the University of Minnesota.

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    PRIMA: a gene-centered, RNA-to-protein method for mapping RNA-protein interactions

    Interactions between RNA binding proteins (RBPs) and mRNAs are critical to post-transcriptional gene regulation. Eukaryotic genomes encode thousands of mRNAs and hundreds of RBPs. However, in contrast to interactions between transcription factors (TFs) and DNA, the interactome between RBPs and

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    Review: C. elegans and its bacterial diet as a model for systems-level understanding of host–microbiota interactions

    Resident microbes of the human body, particularly the gut microbiota, provide essential functions for the host, and, therefore, have important roles in human health as well as mitigating disease. It is difficult to study the mechanisms by which the microbiota

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    Review: Metabolic network modeling with model organisms

    Flux balance analysis (FBA) with genome-scale metabolic network models (GSMNM) allows systems level predictions of metabolism in a variety of organisms. Different types of predictions with different accuracy levels can be made depending on the applied experimental constraints ranging from

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