ArticleiScience2018
Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks.
Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Predicting and understanding the response to short-term intensive insulin therapy in people with early type 2 diabetes.Molecular metabolism · 2019Trial
- Phenotypic AI-based design of cell-specific small molecule cytotoxics.Communications chemistry · 2026Article
- Time-series transcriptomics reveals distinctive mRNA expression dynamics associated with gene ontology specificity and protein expression in skeletal muscle after electrical stimulation-induced resistance exercise.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024Article
- Time and dose selective glucose metabolism for glucose homeostasis and energy conversion in the liver.NPJ systems biology and applications · 2024Article
- iTraNet: a web-based platform for integrated trans-omics network visualization and analysis.Bioinformatics advances · 2024Article
- MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms.Nature communications · 2023Article
- Periodontal treatment and microbiome-targeted therapy in management of periodontitis-related nonalcoholic fatty liver disease with oral and gut dysbiosis.World journal of gastroenterology · 2023Review
- Article
- Exploring drought-responsive crucial genes iniScience · 2022Article
- Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque.Nature communications · 2022Article
- In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states.Scientific reports · 2022Article
- Trans-omics analysis of insulin action reveals a cell growth subnetwork which co-regulates anabolic processes.iScience · 2022Article
- Multi-omics-based label-free metabolic flux inference reveals obesity-associated dysregulatory mechanisms in liver glucose metabolism.iScience · 2022Article
- Article
- Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle.iScience · 2021Article
- Causal integration of multi-omics data with prior knowledge to generate mechanistic hypotheses.Molecular systems biology · 2021Article
- Article
- Kinetic Trans-omic Analysis Reveals Key Regulatory Mechanisms for Insulin-Regulated Glucose Metabolism in Adipocytes.iScience · 2020Article
- Integration of TGF-β-induced Smad signaling in the insulin-induced transcriptional response in endothelial cells.Scientific reports · 2019Article
- Analysis of networks of host proteins in the early time points following HIV transduction.BMC bioinformatics · 2019Article
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concentrations of insulin selectively regulate multiple cellular functions. To understand how insulin concentrations are interpreted by cells, we constructed a trans-omic network of insulin action in FAO hepatoma cells using transcriptomic data, western blotting analysis of signaling proteins, and metabolomic data. By integrating sensitivity into the trans-omic network, we identified the selective trans-omic networks stimulated by high and low doses of insulin, denoted as induced and basal insulin signals, respectively. The induced insulin signal was selectively transmitted through the pathway involving Erk to an increase in the expression of immediate-early and upregulated genes, whereas the basal insulin signal was selectively transmitted through a pathway involving Akt and an increase of Foxo phosphorylation and a reduction of downregulated gene expression. We validated the selective trans-omic network in vivo by analysis of the insulin-clamped rat liver. This integrated analysis enabled molecular insight into how liver cells interpret physiological insulin signals to regulate cellular functions.
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