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Gent, Belgium

The Vlaams Instituut voor Biotechnologie , is a research institute located in Flanders, Belgium. VIB was founded by the Flemish government in 1995, and became a full-fledged institute on 1 January 1996. The main objective of VIB is to strengthen the excellence of Flemish life science research and to turn the results into new economic growth. VIB spends almost 80% of its budget on research activities, while almost 12% is spent on technology transfer activities and stimulating the creation of new businesses, in addition VIB spends approximately 2% on socio-economic activities.The institute is led by Jo Bury and Johan Cardoen. Hugo Van Heuverswyn is Chairman of the Board of Directors. Wikipedia.

Marine J.-C.,Vlaams Institute for Biotechnology | Lozano G.,Anderson University, South Carolina
Cell Death and Differentiation | Year: 2010

The really interesting genes (RING)-finger-containing oncoprotein, Mdm2, is a promising drug target for cancer therapy. A key Mdm2 function is to promote ubiquitylation and proteasomal-dependent degradation of the tumor suppressor protein p53. Recent reports provide novel important insights into Mdm2-mediated regulation of p53 and how the physical and functional interactions between these two proteins are regulated. Moreover, a p53-independent role of Mdm2 has recently been confirmed by genetic data. These advances and their potential implications for the development of new cancer therapeutic strategies form the focus of this review. © 2010 Macmillan Publishers Limited All rights reserved. Source

Van Landeghem S.,Vlaams Institute for Biotechnology
BMC bioinformatics | Year: 2012

Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of detail to be applicable in real life scenarios. Studies of mining non-causal molecular relations attribute to this goal by formally identifying the relations between genes, promoters, complexes and various other molecular entities found in text. More importantly, these studies help to enhance integration of text mining results with database facts. We describe, compare and evaluate two frameworks developed for the prediction of non-causal or 'entity' relations (REL) between gene symbols and domain terms. For the corresponding REL challenge of the BioNLP Shared Task of 2011, these systems ranked first (57.7% F-score) and second (41.6% F-score). In this paper, we investigate the performance discrepancy of 16 percentage points by benchmarking on a related and more extensive dataset, analysing the contribution of both the term detection and relation extraction modules. We further construct a hybrid system combining the two frameworks and experiment with intersection and union combinations, achieving respectively high-precision and high-recall results. Finally, we highlight extremely high-performance results (F-score > 90%) obtained for the specific subclass of embedded entity relations that are essential for integrating text mining predictions with database facts. The results from this study will enable us in the near future to annotate semantic relations between molecular entities in the entire scientific literature available through PubMed. The recent release of the EVEX dataset, containing biomolecular event predictions for millions of PubMed articles, is an interesting and exciting opportunity to overlay these entity relations with event predictions on a literature-wide scale. Source

Bishopp A.,University of Helsinki | Benkova E.,Vlaams Institute for Biotechnology | Helariutta Y.,University of Helsinki
Current Opinion in Plant Biology | Year: 2011

Despite their relatively simple appearance, roots are incredibly complex organs that are highly adapted to differing environments. Many aspects of root development are co-ordinated by subtle spatial differences in the concentrations of the phytohormones auxin and cytokinin. Events from the formation of a root during embryogenesis to the determination of the network of lateral roots are controlled by interactions between these hormones. Recently, interactions have been defined where auxin signaling promotes the expression of cytokinin signaling inhibitors, cytokinin signaling promotes the expression of auxin signaling inhibitors and finally where cytokinin signaling regulates the complex network of auxin transport proteins to position zones of high auxin signaling. We are witnessing a period of discovery in which we are beginning to understand how these hormonal pathways communicate to regulate root formation. © 2010 Elsevier Ltd. Source

Dhondt S.,Vlaams Institute for Biotechnology
Trends in plant science | Year: 2013

Imaging and image processing have revolutionized plant phenotyping and are now a major tool for phenotypic trait measurement. Here we review plant phenotyping systems by examining three important characteristics: throughput, dimensionality, and resolution. First, whole-plant phenotyping systems are highlighted together with advances in automation that enable significant throughput increases. Organ and cellular level phenotyping and its tools, often operating at a lower throughput, are then discussed as a means to obtain high-dimensional phenotypic data at elevated spatial and temporal resolution. The significance of recent developments in sensor technologies that give access to plant morphology and physiology-related traits is shown. Overall, attention is focused on spatial and temporal resolution because these are crucial aspects of imaging procedures in plant phenotyping systems. Copyright © 2013 Elsevier Ltd. All rights reserved. Source

St Jude Childrens Research Hospital, Leiden University, Ghent University and Vlaams Institute for Biotechnology | Date: 2013-12-05

It has now been found that the p53 pathway is inactivated in ocular cancers such as retinoblastoma. As such, the present invention is a method for inducing ocular cancer cell death using a p53 activator. In particular embodiments, the p53 activator blocks the interaction between DM2 or DMX and p53. As the p53 activator induces ocular cancer cell death, a method for preventing or treating ocular cancer is also provided.

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