Project description:Analysis of wildtype C. elegans (N2) and pcca-1(ok2282) and metr-1(ok521) mutants fed Comamonas DA1877 Expression profiles are tailored according to dietary input. However, the networks that control dietary responses remain largely uncharacterized. Here, we combine forward and reverse genetic screens to delineate a network of 184 genes that affect the C. elegans dietary response to Comamonas DA1877 bacteria. We find that perturbation of a mitochondrial network comprised of enzymes involved in amino acid metabolism and the TCA cycle affects the dietary response. In humans, mutations in the corresponding genes cause inborn diseases of amino acid metabolism, most of which are treated by dietary intervention. We identify several TFs that mediate the changes in gene expression upon metabolic network perturbations. Altogether, our findings unveil a transcriptional response system that is poised to sense dietary cues and metabolic imbalances, illustrating extensive communication between metabolic networks in the mitochondria and gene regulatory networks in the nucleus. Expression profiles are tailored according to dietary input. However, the networks that control dietary responses remain largely uncharacterized. Here, we combine forward and reverse genetic screens to delineate a network of 184 genes that affect the C. elegans dietary response to Comamonas DA1877 bacteria. We find that perturbation of a mitochondrial network comprised of enzymes involved in amino acid metabolism and the TCA cycle affects the dietary response. In humans, mutations in the corresponding genes cause inborn diseases of amino acid metabolism, most of which are treated by dietary intervention. We identify several TFs that mediate the changes in gene expression upon metabolic network perturbations. Altogether, our findings unveil a transcriptional response system that is poised to sense dietary cues and metabolic imbalances, illustrating extensive communication between metabolic networks in the mitochondria and gene regulatory networks in the nucleus. 3 biological replicates for each condition, wild type is reference sample

Project description:Analysis of wildtype C. elegans (N2) and pcca-1(ok2282) and metr-1(ok521) mutants fed Comamonas DA1877 Expression profiles are tailored according to dietary input. However, the networks that control dietary responses remain largely uncharacterized. Here, we combine forward and reverse genetic screens to delineate a network of 184 genes that affect the C. elegans dietary response to Comamonas DA1877 bacteria. We find that perturbation of a mitochondrial network comprised of enzymes involved in amino acid metabolism and the TCA cycle affects the dietary response. In humans, mutations in the corresponding genes cause inborn diseases of amino acid metabolism, most of which are treated by dietary intervention. We identify several TFs that mediate the changes in gene expression upon metabolic network perturbations. Altogether, our findings unveil a transcriptional response system that is poised to sense dietary cues and metabolic imbalances, illustrating extensive communication between metabolic networks in the mitochondria and gene regulatory networks in the nucleus. Expression profiles are tailored according to dietary input. However, the networks that control dietary responses remain largely uncharacterized. Here, we combine forward and reverse genetic screens to delineate a network of 184 genes that affect the C. elegans dietary response to Comamonas DA1877 bacteria. We find that perturbation of a mitochondrial network comprised of enzymes involved in amino acid metabolism and the TCA cycle affects the dietary response. In humans, mutations in the corresponding genes cause inborn diseases of amino acid metabolism, most of which are treated by dietary intervention. We identify several TFs that mediate the changes in gene expression upon metabolic network perturbations. Altogether, our findings unveil a transcriptional response system that is poised to sense dietary cues and metabolic imbalances, illustrating extensive communication between metabolic networks in the mitochondria and gene regulatory networks in the nucleus.

Project description:Metabolic cofactors such as NADH and ATP play important roles in a large number of cellular reactions and it is of great interest to dissect the role of these cofactors in different aspects of metabolism. Towards this goal, we overexpressed NADH oxidase and the soluble F1-ATPase in Escherichia coli to lower the level of NADH and ATP, respectively. We used a systems biology approach to study the response to these perturbations by measuring global transcription profiles, metabolic fluxes and the metabolite levels. We integrated information from the different measurements using network-based methods to identify high-scoring networks in a global interaction map that included protein interactions, transcriptional regulation and metabolism. The results revealed that the action of many global transcription factors such as ArcA, Fnr, CRP and IHF commonly involved both NADH and ATP while others were influential only in one of the pertubations. In general, overexpressing NADH oxidase invokes response in widespread aspects of metabolism involving the redox cofactors (NADH and NADPH) while ATPase has a more focused response to restore ATP level by enhancing proton translocation mechanisms and repressing biosynthesis. Interestingly, NADPH played a key role in restoring redox homeostasis through the concerted activity of isocitrate dehydrogenase and UdhA transhydrogenase. We present a reconciled network of regulation that illustrates the overlapping and distinct aspects of metabolism controlled by NADH and ATP. Our study contributes to the general understanding of redox and energy metabolism and should help in developing metabolic engineering strategies in E. coli. The experimental design involves measuring transcriptome in three strains (in triplicates) of E. coli during mid-exponential phase of growth on MOPS media supplemented with glucose. The three strains are: 1. REF: MG1655/pAK80 (MG1655 transformed with a plasmid with no insert) 2. NOX: MG1655/pAC06 (MG1655 transformed with a plasmid containing NADH oxidase) 3. ATPase: MG1655/pCP41 (MG1655 transformed with a plasmid containing soluble ATPase) RNA was extracted using Qiagen RNeasy kit and processes according to AffymetrixÂ® guidelines. The quality of RNA was verified using BioAnalyzer (Agilent BioSystems) and the electropherograms are shown in the file âRNA quality.pdfâ. Samples 1-3 are REF, Samples 4-6 are NOX and Samples 7-9 are ATPase. The fragmented cRNA was hybridized to E. coli Genome 2.0 chips.

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A whole-animal, genome-scale model of transcriptional rewiring of metabolism

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