1. Obesity resistant mechanisms in the Lean polygenic mouse model as indicated by liver transcriptome and expression of selected genes in skeletal muscleMatjaž Simončič, Tadeja Režen, Peter Juvan, Damjana Rozman, Gregor Fazarinc, Catherine Fievet, Bart Staels, Simon Horvat, 2011, original scientific article Keywords: molekularna genetika, debelost, poligeni mišji model, laboratorijske miši
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2. Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic modelsTadeja Režen, Alexandre Martins, Miha Mraz, Nikolaj Zimic, Damjana Rozman, Miha Moškon, 2022, original scientific article Keywords: COVID-19, genome-scale metabolic models, model extraction methods, context-specific models, metabolic enrichment analysis
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3. Novel insights into biological roles of inducible cAMP early repressor ICERTadeja Režen, Uršula Prosenc Zmrzljak, Tjaša Bensa, Tanja Cvitanović Tomaš, Katarina Cirnski, Jure Stojan, Damjana Rozman, 2020, original scientific article Keywords: circadian rhythm, repressor ICER, biological roles, ICER, ICERγ, isoform, splicing, circadian expression
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4. Transcriptome analysis revealed association of some P450 genes with obesity in a polygenic obese mouse modelMatjaž Simončič, Tadeja Režen, Peter Juvan, Catherine Fievet, Bart Staels, Damjana Rozman, Simon Horvat, 2008, original scientific article Keywords: molekularna genetika, debelost, QTL, holesterol, presnova, laboratorijske miši
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5. Identification of novel RNA binding proteins influencing circular RNA expression in hepatocellular carcinomaRok Razpotnik, Petra Nassib, Tanja Kunej, Damjana Rozman, Tadeja Režen, 2021, original scientific article Keywords: hepatocellular carcinoma (HCC), circular RNA (circRNA), identification of novel proteins, RNA binding proteins (RBPs), ESRP2
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6. Guided extraction of genome-scale metabolic models for the integration and analysis of omics dataAndrew Walakira, Damjana Rozman, Tadeja Režen, Miha Mraz, Miha Moškon, 2021, original scientific article Keywords: genome-scale metabolic model, model extraction methods, context-specific metabolic model, omics data integration, subsystem enrichment analysis, model interpretability
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7. Chronic disruption of the late cholesterol synthesis leads to female-prevalent liver cancerKaja Blagotinšek Cokan, Žiga Urlep, Gregor Lorbek, Madlen Matz-Soja, Cene Skubic, Martina Perše, Jera Jeruc, Peter Juvan, Tadeja Režen, Damjana Rozman, 2020, original scientific article Keywords: cholesterol biosynthesis, hepatocellular carcinoma, sex dimorphism, lanosterol 14α-demethylase (CYP51)
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8. Common transcriptional program of liver fibrosis in mouse genetic models and humansKaja Blagotinšek Cokan, Žiga Urlep, Miha Moškon, Miha Mraz, Xiang Yi Kong, Winnie Eskild, Damjana Rozman, Peter Juvan, Tadeja Režen, 2021, original scientific article Keywords: bile acid, fatty acid, fibrosis, NAFLD, NASH, GEM
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9. Razvoj metod za in vitro proučevanje tkivnozaščitnih učinkov eritropoetina v celičnem modeluNeža Omersa, 2012, master's thesis Keywords: eritropoetin, receptor za eritropoetin, metabolni stres, tkivnozaščitni učinek, PC12, SH-SY5Y, fragmentacija DNA, aktivacija kaspaz
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10. Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinomaAndrew Walakira, Cene Skubic, Nejc Nadižar, Damjana Rozman, Tadeja Režen, Miha Mraz, Miha Moškon, 2023, original scientific article Keywords: hepatocellular carcinoma, meta-analysis, genome-scale metabolic modeling, network analysis, enriched pathways, enriched reactions, enriched subsystems
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