Publications

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33 Publications visible to you, out of a total of 33

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Date Published: 2013

Publication Type: Not specified

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Authors: Martin Golebiewski, Martin Golebiewski

Date Published: 7th Oct 2011

Publication Type: Not specified

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MOTIVATION: Statins are the most widely used cholesterol-lowering drugs. The primary target of statins is HMG-CoA reductase, a key enzyme in cholesterol synthesis. However, statins elicit pleitropic responses including beneficial as well as adverse effects in the liver or other organs. Today, the regulatory mechanisms that cause these pleiotropic effects are not sufficiently understood. RESULTS: In this work, genome-wide RNA expression changes in primary human hepatocytes of six individuals were measured at up to six time points upon atorvastatin treatment. A computational analysis workflow was applied to reconstruct regulatory mechanisms based on these drug-response data and available knowledge about transcription factor (TF) binding specificities and protein-drug interactions. Several previously unknown TFs were predicted to be involved in atorvastatin-responsive gene expression. The novel relationships of nuclear receptors NR2C2 and PPARA on CYP3A4 were successfully validated in wet-lab experiments. AVAILABILITY: Microarray data are available at the Gene Expression Omnibus (GEO) database at www.ncbi.nlm.nih.gov/geo/, under accession number GSE29868. CONTACT: andreas.zell@uni-tuebingen.de; adrian.schroeder@uni-tuebingen.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Authors: A. Schroder, J. Wollnik, C. Wrzodek, A. Drager, M. Bonin, O. Burk, M. Thomas, W. E. Thasler, U. M. Zanger, A. Zell

Date Published: 14th Jul 2011

Publication Type: Not specified

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Authors: M. Carmen Herrera, Estrella Duque, José J. Rodríguez-Herva, Ana M. Fernández-Escamilla, Juan L. Ramos

Date Published: 2010

Publication Type: Not specified

Abstract (Expand)

Systems Biology Markup Language (SBML) is the leading exchange format for mathematical models in Systems Biology. Semantic annotations link model elements with external knowledge via unique database identifiers and ontology terms, enabling software to check and process models by their biochemical meaning. Such information is essential for model merging, one of the key steps towards the construction of large kinetic models. SemanticSBML is a tool that helps users to check and edit MIRIAM annotations and SBO terms in SBML models. Using a large collection of biochemical names and database identifiers, it supports modellers in finding the right annotations and in merging existing models. Initially, an element matching is derived from the MIRIAM annotations and conflicting element attributes are categorized and highlighted. Conflicts can then be resolved automatically or manually, allowing the user to control the merging process in detail.

Authors: Firstname Lastname, Jannis Uhlendorf, Timo Lubitz, Marvin Schulz, Edda Klipp, Wolfram Liebermeister

Date Published: 17th Nov 2009

Publication Type: Not specified

Abstract (Expand)

The torrent of data emerging from the application of new technologies to functional genomics and systems biology can no longer be contained within the traditional modes of data sharing and publication with the consequence that data is being deposited in, distributed across and disseminated through an increasing number of databases. The resulting fragmentation poses serious problems for the model organism community which increasingly rely on data mining and computational approaches that require gathering of data from a range of sources. In the light of these problems, the European Commission has funded a coordination action, CASIMIR (coordination and sustainability of international mouse informatics resources), with a remit to assess the technical and social aspects of database interoperability that currently prevent the full realization of the potential of data integration in mouse functional genomics. In this article, we assess the current problems with interoperability, with particular reference to mouse functional genomics, and critically review the technologies that can be deployed to overcome them. We describe a typical use-case where an investigator wishes to gather data on variation, genomic context and metabolic pathway involvement for genes discovered in a genome-wide screen. We go on to develop an automated approach involving an in silico experimental workflow tool, Taverna, using web services, BioMart and MOLGENIS technologies for data retrieval. Finally, we focus on the current impediments to adopting such an approach in a wider context, and strategies to overcome them.

Authors: Damian Smedley, Morris A Swertz, Firstname Lastname, Glenn Proctor, Michael Zouberakis, Jonathan Bard, John M Hancock, Paul Schofield

Date Published: 30th Dec 2008

Publication Type: Not specified

Abstract (Expand)

This paper briefly describes the SABIO-RK database model for the storage of reaction kinetics information and the guidelines followed within the SABIO-RK project to annotate the kinetic data. Such annotations support the definition of cross links to other related databases and augment the semantics of the data stored in the database.

Authors: Firstname Lastname, Martin Golebiewski, Renate Kania, Firstname Lastname, Saqib Mir, Andreas Weidemann, Ulrike Wittig

Date Published: 14th Sep 2007

Publication Type: Not specified

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