2. februar 2017 kl 14.00 – 14.45, SU 105 (Sørhellinga).
Det NMBU-ledede prosjektet "Digital Laks" er stolt vertskap for en Volterra-forelesning ved Jens Nielsen, professor i systembiologi og syntetisk biologi ved Chalmers universitet, Göteborg. Han forteller fra sitt arbeid med genom-skala metabolske modeller, der stoffskiftet beskrives gjennom de tusenvis av biokjemiske reaksjoner som foregår i cellene. Slike modeller kan analyseres med matematikk og datamaskiner, med mange anvendelser: til å vise vei for molekylær konstruksjon av cellefabrikker for drivstoff og kjemikalier; som rammeverk for å forstå data om metabolisme i ulike vevstyper, samlet i et "atlas av menneskets metabolisme"; og til å forstå hvordan tarmens bakterieflora fungerer som et aktivt organ i menneskekroppen.
Volterra-forelesningene arrangeres avDigitalt Liv Norge, det nasjonale nettverket for systembiologi, der NMBU er node for "digital produksjonsbiologi". Forelesningsserien er oppkalt etter Vito Volterra, en av de første matematiske biologene. Disse fremstående gjesteforelesningene gis av internasjonale autoriteter som nyter høy respekt for sine bidrag til forskning eller teknologiutvikling innen livsvitenskapene.
Thu, 2 Feb 2017, 14:00-14:45. Room SU105, Sørhellinga, Høgskoleveien 12, 1432 Ås (map)
The NMBU-led "Digital Salmon" project is hosting a Volterra Lecture byJens Nielsen, Professor ofSystems Biology and Synthetic Biology at Chalmers University, Göteborg. He will present work with genome-scale metabolic models, i.e. comprehensive descriptions of the cell's biochemical reaction network. These models can be analyzed computationally, with applications in molecular engineering of cell factories for fuels and chemicals, tissue-specific models in a Human Metabolic Atlas, and understanding the gut microbiome as an active organ of the human body.
TheVolterra Lectures are arranged byDigital Life Norway, the national network for systems biology, where NMBU is the node for "digital production biology". The lecture series is named in honor ofVito Volterra, one of the first mathematical biologists. These distinguished guest lectures are given by international authorities esteemed for their contribution within life sciences research and/or technology development.
Abstract: Metabolism is the core of functioning of any cell as it ensures provision of Gibbs free energy as well as precursors for synthesis of cellular constituents like proteins, lipids and DNA. Metabolism involves a large number of biochemical conversion processes. Thus, even Baker’s yeast, that serves as the most simple model for studying human cells, contains more than 900 enzymes that catalyze more than 1,500 biochemical reactions. In human cells these numbers are much larger with more than 3,000 enzymes and more than 5,000 biochemical reactions. Even though the large number of reactions are organized into metabolic pathways, there is a high degree of connectivity between the reactions, and hence it is quite complicated to study these reactions individually.
It is therefore necessary to take a systemic approach for analysis of metabolism, often referred to as systems biology. We are working on generating so-called genome-scale metabolic models (GEMs) that are comprehensive description of cellular metabolism. We have over the last years reconstructed GEMs for a number of industrially important fungi, including the Baker’s yeast Saccharomyces cerevisiae, and used these models for analysis of large data sets and for identification of novel targets where we can engineer the metabolism, often referred to as metabolic engineering. Hereby we have developed advanced cell factories for the production of fuels and chemicals. Recently we have also embarked on building a Human Metabolic Atlas, a novel web-based database and modelling tool that can be used by medical and pharmaceutical researchers to analyse clinical data with the objectives of identifying biomarkers associated with disease development and improving health care. The central technology in the Human Metabolic Atlas is GEMs, which are tissue-specific.
These models allow for context-dependent analysis of clinical data, providing much more information than traditional statistical correlation analysis, and hence advance the identification of biomarkers from high-throughput experimental data that can be used for early diagnosis of metabolic related diseases. In this presentation our technologies behind reconstruction, simulation and analysis of GEMs will be presented and results from studies in metabolic engineering and systems medicine will be presented. In connection with the latter it will also be discussed how we can advance towards modeling of the gut microbiome, which has recently demonstrated to be an active metabolic organ in the human body.
About the speaker: Professor Jens Nielsen is Professor of Systems Biology at Chalmers University of Technology heading the division ofSystems Biology and Synthetic Biology. His research has had a profound impact on the field of systems biology with more than 550 research papers, cited more than 18,000 times, as well as its utilization within industrial biotechnology. Jens Nielsen is the inventor of more than 50 patents and has founded several companies, such as Fluxome now a part ofEvolva, andBiopetrolia. His current research interest is focused on developing efficient cell factories for sustainable production of fuels and chemicals, but also to understand conserved regulatory pathways and developing metabolic models of eukaryotic cells. Several projects are connected with theNovo Nordisk Foundation Center for Biosustainability. Jens Nielsen is a member of several academies, has served on several committees and scientific advisory boards within academia as well as industry. He has received numerous awards for his achievements.