Prof. Dr. Damjana Rozman
University of Ljubljana, Faculty of Medicine
Monday 23rd November 2020 15.45 CET
From Experimental to Computational Models
The onset of omics tools initiated acquisition of large sets of experimental data. Different omics technologies enabled researchers to gain insight into complex cellular process ranging from cell to animal models, including humans. Measurements of thousands of genes, proteins and metabolites reveled the complexity of biological processes and exposed a need for new approaches in research. Therefore, the enhancement of experimental techniques has led to the development of systems approaches for their comprehensive analysis. New fields of research have emerged, which combine biological and medical data with mathematical tools to get a systems perspective on the observed biological processes. Herein we will present how different experimental and mathematical approaches advanced our understanding in the field of liver metabolic diseases.
Blagotinšek Cokan K, Urlep, Ž, Moškon M, Mraz M, Kong XY, Eskild W, Rozman D, Juvan P, Režen T. Common transcriptional programme of liver fibrosis in mouse genetic models and humans. bioRxiv 2020 Nov. doi: 10.1101/2020.11.02.364901.
Cvitanović T, Reichert MC, Moškon M, Mraz M, Lammert F, Rozman D. Large-scale computational models of liver metabolism: How far from the clinics? Hepatology. 2017 Oct;66(4):1323-1334. doi: 10.1002/hep.29268. PMID: 28520105.
Damjana Rozman is a full professor of Biochemistry and Molecular Biology and the head of the Centre for Functional Genomics and Bio-Chips at Institute of Biochemistry, Faculty of Medicine UL. Her long-term research interest is cholesterol homeostasis that drives from enzymes from the cytochrome P450 superfamily that produce and metabolize cholesterol. Cholesterol is a crucial molecule in multiple aspects of endocrinology and metabolic disorders, such as liver pathologies, where disturbances of circadian rhythm play also an important part. D. Rozman published over 130 SCI paper listed in PubMed and holds a h index 32.