1. Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis
- Author
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Niels Vrang, Michele Puglia, Tune H. Pers, Birgitte Rahbek Kornum, Michael Feigh, Helene M Ægidius, Jacob Jelsing, Philip Hallenborg, Sanne Skovgård Veidal, Blagoy Blagoev, and Kristoffer T.G. Rigbolt
- Subjects
Male ,Proteomics ,0301 basic medicine ,Physiology ,Quantitative proteomics ,Metabolic disorders ,lcsh:Medicine ,Pathogenesis ,Computational biology ,Biology ,Diet, High-Fat ,Article ,Transcriptome ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Single-cell analysis ,Non-alcoholic Fatty Liver Disease ,Tandem Mass Spectrometry ,medicine ,Animals ,Obesity ,lcsh:Science ,Multidisciplinary ,Hepatology ,Drug discovery ,Sequence Analysis, RNA ,lcsh:R ,Endocrine system and metabolic diseases ,Lipid metabolism ,medicine.disease ,Phenotype ,Computational biology and bioinformatics ,Mice, Inbred C57BL ,Disease Models, Animal ,030104 developmental biology ,Liver ,RNA ,030211 gastroenterology & hepatology ,lcsh:Q ,Single-Cell Analysis ,Steatohepatitis ,Systems biology ,Sequence Alignment ,Diet-induced obese ,Chromatography, Liquid - Abstract
To improve the understanding of the complex biological processes underlying the development of non-alcoholic steatohepatitis (NASH), a multi-omics approach combining bulk RNA-sequencing based transcriptomics, quantitative proteomics and single-cell RNA-sequencing was used to characterize tissue biopsies from histologically validated diet-induced obese (DIO) NASH mice compared to chow-fed controls. Bulk RNA-sequencing and proteomics showed a clear distinction between phenotypes and a good correspondence between mRNA and protein level regulations, apart from specific regulatory events discovered by each technology. Transcriptomics-based gene set enrichment analysis revealed changes associated with key clinical manifestations of NASH, including impaired lipid metabolism, increased extracellular matrix formation/remodeling and pro-inflammatory responses, whereas proteomics-based gene set enrichment analysis pinpointed metabolic pathway perturbations. Integration with single-cell RNA-sequencing data identified key regulated cell types involved in development of NASH demonstrating the cellular heterogeneity and complexity of NASH pathogenesis.
- Published
- 2020
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