Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 428909
Title Exploring Networks at the genome scale
Author(s) Lam, M.C.; Puchalka, J.; Diez, M.S.; Martins Dos Santos, V.A.P.
Source European Biotechnology Science and Industry News 9 (2010)1-2. - ISSN 1618-8276 - p. 40 - 42.
Department(s) Systems and Synthetic Biology
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2010
Abstract Systems biology is aimed at achieving a holistic understanding of living organisms, while synthetic biology seeks to design and construct new living organisms with targeted functionalities. Genome sequencing and the fields of ‘omics’ technology have proven a goldmine of information for scientists when it comes to investigating the entire functionality of organisms. Because the genome encodes for all the machinery an organism possesses to survive in the different environments it might populate, it’s possible to understand an organism’s survival strategies by studying its genetic code. More than 350 bacterial genomes have been sequenced to date. But even though bacteria are relatively simple, every organism is so complex that it’s necessary to apply modeling to integrate knowledge at all levels – whether it involves metabolism, signaling processes, transcription regulation, or a host of other areas. Backed up by the accumulated knowledge of biological systems gathered over the last two decades, it is gradually becoming feasible to predict changes and artificially introduce desirable properties into new, genetically modified organisms. In this article, we focus on genome-scale transcription and metabolic network studies as well as the role of modelling, which assists micro-organism engineering and provides a platform for generating hypotheses and testing new proposals. Knowledge and predictions gained from systems biology are also paving the way for the rational design of subunits or the entire genome in organisms, to produce novel functions in line with the new paradigm proposed by synthetic biology
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