An extensive and dynamic trans-omic network illustrating prominent regulatory mechanisms in response to insulin in the liver

Fumiko Matsuzaki, Shinsuke Uda, Yukiyo Yamauchi, Masaki Matsumoto, Tomoyoshi Soga, Kazumitsu Maehara, Yasuyuki Ohkawa, Keiichi I. Nakayama, Shinya Kuroda, Hiroyuki Kubota

Research output: Contribution to journalArticlepeer-review

Abstract

An effective combination of multi-omic datasets can enhance our understanding of complex biological phenomena. To build a context-dependent network with multiple omic layers, i.e., a trans-omic network, we perform phosphoproteomics, transcriptomics, proteomics, and metabolomics of murine liver for 4 h after insulin administration and integrate the resulting time series. Structural characteristics and dynamic nature of the network are analyzed to elucidate the impact of insulin. Early and prominent changes in protein phosphorylation and persistent and asynchronous changes in mRNA and protein levels through non-transcriptional mechanisms indicate enhanced crosstalk between phosphorylation-mediated signaling and protein expression regulation. Metabolic response shows different temporal regulation with transient increases at early time points across categories and enhanced response in the amino acid and nucleotide categories at later time points as a result of process convergence. This extensive and dynamic view of the trans-omic network elucidates prominent regulatory mechanisms that drive insulin responses through intricate interlayer coordination.

Original languageEnglish
Article number109569
JournalCell Reports
Volume36
Issue number8
DOIs
Publication statusPublished - Aug 24 2021

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

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