ArticleProceedings. Biological sciences2023
Transcriptional profiling of the response to starvation and fattening reveals differential regulation of autophagy genes in mammals.
Article in Proceedings. Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Methodologies to Identify Metabolic Pathway Differences Between Emaciated and Moderately Conditioned Horses: A Review of Multiple Gene Expression Techniques.Animals : an open access journal from MDPI · 2025Review
- Transcriptome Remodeling and Adaptive Preservation of Muscle Protein Content in Hibernating Black Bears.Ecology and evolution · 2025Article
- Transcriptome remodeling and adaptive preservation of muscle protein content in hibernating black bears.bioRxiv : the preprint server for biology · 2025Article
- Article
- Sulforaphane acutely activates multiple starvation response pathways.Frontiers in nutrition · 2024Article
- Oculopharyngeal muscular dystrophy mutations link the RNA-binding protein HNRNPQ to autophagosome biogenesis.Aging cell · 2023Article
- Transcriptional profiling of the response to starvation and fattening reveals differential regulation of autophagy genes in mammals.Proceedings. Biological sciences · 2023Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nutrient deprivation (starvation) induced by fasting and hypercaloric regimens are stress factors that can influence cell and tissue homeostasis in mammals. One of the key cellular responses to changes in nutrient availability is the cell survival pathway autophagy. While there has been much research into the protein networks regulating autophagy, less is known about the gene expression networks involved in this fundamental process. Here, we applied a network algorithm designed to analyse omics datasets, to identify sub-networks that are enriched for induced genes in response to starvation. This enabled us to identify two prominent active modules, one composed of key stress-induced transcription factors, including members of the Jun, Fos and ATF families, and the other comprising autophagosome sub-network genes, including ULK1. The results were validated in the brain, liver and muscle of fasting mice. Moreover, differential expression analysis of autophagy genes in the brain, liver and muscle of high-fat diet-exposed mice showed significant suppression of GABARAPL1 in the liver. Finally, our data provide a resource that may facilitate the future identification of regulators of autophagy.
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