Academic Program
Interdisciplinary Graduate Program
UMMS Affiliation
Program in Gene Function and Expression; Program in Molecular Medicine
Publication Date
2010-05-11
Document Type
Article
Disciplines
Genetics and Genomics | Life Sciences | Medicine and Health Sciences
Abstract
Gene regulatory networks (GRNs) provide insights into the mechanisms of differential gene expression at a systems level. GRNs that relate to metazoan development have been studied extensively. However, little is still known about the design principles, organization and functionality of GRNs that control physiological processes such as metabolism, homeostasis and responses to environmental cues. In this study, we report the first experimentally mapped metazoan GRN of Caenorhabditis elegans metabolic genes. This network is enriched for nuclear hormone receptors (NHRs). The NHR family has greatly expanded in nematodes: humans have 48 NHRs, but C. elegans has 284, most of which are uncharacterized. We find that the C. elegans metabolic GRN is highly modular and that two GRN modules predominantly consist of NHRs. Network modularity has been proposed to facilitate a rapid response to different cues. As NHRs are metabolic sensors that are poised to respond to ligands, this suggests that C. elegans GRNs evolved to enable rapid and adaptive responses to different cues by a concurrence of NHR family expansion and modular GRN wiring.
DOI of Published Version
10.1038/msb.2010.23
Source
Molecular Systems Biology 6:367, doi:10.1038/msb.2010.23. Published online: 11 May 2010.
Journal/Book/Conference Title
Molecular Systems Biology
Related Resources
PubMed ID
20461074
Repository Citation
Arda HE, Taubert S, MacNeil LT, Conine CC, Tsuda B, Van Gilst M, Sequerra R, Doucette-Stamm L, Yamamoto KR, Walhout AJ. (2010). Functional modularity of nuclear hormone receptors in a Caenorhabditis elegans metabolic gene regulatory network.. Morningside Graduate School of Biomedical Sciences Student Publications. https://doi.org/10.1038/msb.2010.23. Retrieved from https://escholarship.umassmed.edu/gsbs_sp/1648