Systems Toxicology : Real World Applications and Opportunities

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:4e9f32782dc6c1082634f7205d599f7e

HARTUNG, Thomas, Rex E. FITZGERALD, Paul JENNINGS, Gary R. MIRAMS, Manuel C. PEITSCH, Amin ROSTAMI-HODJEGAN, Imran SHAH, Martin F. WILKS, Shana J. STURLA, 2017. Systems Toxicology : Real World Applications and Opportunities. In: Chemical Research in Toxicology. 30(4), pp. 870-882. ISSN 0893-228X. eISSN 1520-5010. Available under: doi: 10.1021/acs.chemrestox.7b00003

@article{Hartung2017-04-17Syste-38993, title={Systems Toxicology : Real World Applications and Opportunities}, year={2017}, doi={10.1021/acs.chemrestox.7b00003}, number={4}, volume={30}, issn={0893-228X}, journal={Chemical Research in Toxicology}, pages={870--882}, author={Hartung, Thomas and FitzGerald, Rex E. and Jennings, Paul and Mirams, Gary R. and Peitsch, Manuel C. and Rostami-Hodjegan, Amin and Shah, Imran and Wilks, Martin F. and Sturla, Shana J.} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/38993"> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:contributor>Rostami-Hodjegan, Amin</dc:contributor> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150914100631302-4485392-8"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:creator>Sturla, Shana J.</dc:creator> <dc:creator>Jennings, Paul</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38993"/> <dc:contributor>Shah, Imran</dc:contributor> <dc:creator>Shah, Imran</dc:creator> <dc:creator>Hartung, Thomas</dc:creator> <dc:contributor>FitzGerald, Rex E.</dc:contributor> <dc:language>eng</dc:language> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/38993/1/Hartung_0-407836.pdf"/> <dc:creator>Wilks, Martin F.</dc:creator> <dcterms:issued>2017-04-17</dcterms:issued> <dc:contributor>Sturla, Shana J.</dc:contributor> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/38993/1/Hartung_0-407836.pdf"/> <dc:creator>Peitsch, Manuel C.</dc:creator> <dc:creator>Mirams, Gary R.</dc:creator> <dc:contributor>Jennings, Paul</dc:contributor> <dcterms:title>Systems Toxicology : Real World Applications and Opportunities</dcterms:title> <dc:creator>FitzGerald, Rex E.</dc:creator> <dcterms:abstract xml:lang="eng">Systems Toxicology aims to change the basis of how adverse biological effects of xenobiotics are characterized from empirical end points to describing modes of action as adverse outcome pathways and perturbed networks. Toward this aim, Systems Toxicology entails the integration of in vitro and in vivo toxicity data with computational modeling. This evolving approach depends critically on data reliability and relevance, which in turn depends on the quality of experimental models and bioanalysis techniques used to generate toxicological data. Systems Toxicology involves the use of large-scale data streams ("big data"), such as those derived from omics measurements that require computational means for obtaining informative results. Thus, integrative analysis of multiple molecular measurements, particularly acquired by omics strategies, is a key approach in Systems Toxicology. In recent years, there have been significant advances centered on in vitro test systems and bioanalytical strategies, yet a frontier challenge concerns linking observed network perturbations to phenotypes, which will require understanding pathways and networks that give rise to adverse responses. This summary perspective from a 2016 Systems Toxicology meeting, an international conference held in the Alps of Switzerland, describes the limitations and opportunities of selected emerging applications in this rapidly advancing field. Systems Toxicology aims to change the basis of how adverse biological effects of xenobiotics are characterized, from empirical end points to pathways of toxicity. This requires the integration of in vitro and in vivo data with computational modeling. Test systems and bioanalytical technologies have made significant advances, but ensuring data reliability and relevance is an ongoing concern. The major challenge facing the new pathway approach is determining how to link observed network perturbations to phenotypic toxicity.</dcterms:abstract> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Hartung, Thomas</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-05-22T09:39:11Z</dcterms:available> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Mirams, Gary R.</dc:contributor> <dc:contributor>Wilks, Martin F.</dc:contributor> <dc:creator>Rostami-Hodjegan, Amin</dc:creator> <dc:contributor>Peitsch, Manuel C.</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-05-22T09:39:11Z</dc:date> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 22.05.2017 (Informationen über die Zugriffsstatistik)

Hartung_0-407836.pdf 32

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto