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Systems-level transcriptional regulation of Caenorhabditis elegans metabolism

View ORCID ProfileShivani Nanda, Marc-Antoine Jacques, Wen Wang, Chad L Myers, L. Safak Yilmaz, View ORCID ProfileAlbertha JM Walhout
doi: https://doi.org/10.1101/2022.11.08.515576
Shivani Nanda
1Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, United States
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Marc-Antoine Jacques
1Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, United States
3Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, United Kingdom; and EMBL’s European Bioinformatics Institute (EBI), Cambridgeshire CB10 1SD United Kingdom
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Wen Wang
2Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, United States
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Chad L Myers
2Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, United States
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L. Safak Yilmaz
1Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, United States
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Albertha JM Walhout
1Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, United States
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  • ORCID record for Albertha JM Walhout
  • For correspondence: marian.walhout@umassmed.edu
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Abstract

Metabolism is precisely 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 more than 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 sub-pathways in an unbiased manner. Using a large gene expression compendium, we determine the conditions where sub-pathways 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.

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Posted November 09, 2022.
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Systems-level transcriptional regulation of Caenorhabditis elegans metabolism
Shivani Nanda, Marc-Antoine Jacques, Wen Wang, Chad L Myers, L. Safak Yilmaz, Albertha JM Walhout
bioRxiv 2022.11.08.515576; doi: https://doi.org/10.1101/2022.11.08.515576
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Systems-level transcriptional regulation of Caenorhabditis elegans metabolism
Shivani Nanda, Marc-Antoine Jacques, Wen Wang, Chad L Myers, L. Safak Yilmaz, Albertha JM Walhout
bioRxiv 2022.11.08.515576; doi: https://doi.org/10.1101/2022.11.08.515576

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