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- W3204687487 abstract "Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease worldwide. We performed network analysis to investigate the dysregulated biological processes in the disease progression and revealed the molecular mechanism underlying NAFLD. Based on network analysis, we identified a highly conserved disease-associated gene module across three different NAFLD cohorts and highlighted the predominant role of key transcriptional regulators associated with lipid and cholesterol metabolism. In addition, we revealed the detailed metabolic differences between heterogeneous NAFLD patients through integrative systems analysis of transcriptomic data and liver-specific genome-scale metabolic model. Furthermore, we identified transcription factors (TFs), including SREBF2, HNF4A, SREBF1, YY1, and KLF13, showing regulation of hepatic expression of genes in the NAFLD-associated modules and validated the TFs using data generated from a mouse NAFLD model. In conclusion, our integrative analysis facilitates the understanding of the regulatory mechanism of these perturbed TFs and their associated biological processes." @default.
- W3204687487 created "2021-10-11" @default.
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- W3204687487 date "2021-11-01" @default.
- W3204687487 modified "2023-10-15" @default.
- W3204687487 title "A network-based approach reveals the dysregulated transcriptional regulation in non-alcoholic fatty liver disease" @default.
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- W3204687487 doi "https://doi.org/10.1016/j.isci.2021.103222" @default.
- W3204687487 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8529555" @default.
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- W3204687487 hasPublicationYear "2021" @default.
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