Systems-level transcriptional regulation of Caenorhabditis elegans metabolism
Authors
Nanda, ShivaniJacques, Marc-Antoine
Wang, Wen
Myers, Chad L
Yilmaz, L Safak
Walhout, Albertha J M
Student Authors
Shivani NandaFaculty Advisor
Albertha JM Walhout; Lutfu Safak YilmazAcademic Program
Interdisciplinary Graduate ProgramDocument Type
Journal ArticlePublication Date
2023-03-21
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Metabolism is controlled to ensure organismal development and homeostasis. Several mechanisms regulate metabolism, including allosteric control and transcriptional regulation of metabolic enzymes and transporters. So far, metabolism regulation has mostly been described for individual genes and pathways, and the extent of transcriptional regulation of the entire metabolic network remains largely unknown. Here, we find that three-quarters of all metabolic genes are transcriptionally regulated in the nematode Caenorhabditis elegans. We find that many annotated metabolic pathways are coexpressed, and we use gene expression data and the iCEL1314 metabolic network model to define coregulated subpathways in an unbiased manner. Using a large gene expression compendium, we determine the conditions where subpathways exhibit strong coexpression. Finally, we develop “WormClust,” a web application that enables a gene-by-gene query of genes to view their association with metabolic (sub)-pathways. Overall, this study sheds light on the ubiquity of transcriptional regulation of metabolism and provides a blueprint for similar studies in other organisms, including humans.Source
Nanda S, Jacques MA, Wang W, Myers CL, Yilmaz LS, Walhout AJ. Systems-level transcriptional regulation of Caenorhabditis elegans metabolism. Mol Syst Biol. 2023 May 9;19(5):e11443. doi: 10.15252/msb.202211443. Epub 2023 Mar 21. PMID: 36942755; PMCID: PMC10167481.DOI
10.15252/msb.202211443Permanent Link to this Item
http://hdl.handle.net/20.500.14038/52427PubMed ID
36942755Rights
© 2023 The Authors. Published under the terms of the CC BY 4.0 license. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.Distribution License
https://creativecommons.org/licenses/by/4.0/ae974a485f413a2113503eed53cd6c53
10.15252/msb.202211443
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Except where otherwise noted, this item's license is described as © 2023 The Authors. Published under the terms of the CC BY 4.0 license. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.