Handling deviating control values in concentration-response curves

Cite This

Files in this item

Checksum: MD5:ace0b881e08837b5fc22cbddc004526e

KAPPENBERG, Franziska, Tim BRECKLINGHAUS, Wiebke ALBRECHT, Jonathan BLUM, Carola VAN DER WURP, Marcel LEIST, Jan G. HENGSTLER, Jörg RAHNENFÜHRER, 2020. Handling deviating control values in concentration-response curves. In: Archives of Toxicology. Springer. 94(11), pp. 3787-3798. ISSN 0370-8497. eISSN 1432-0738. Available under: doi: 10.1007/s00204-020-02913-0

@article{Kappenberg2020Handl-51094, title={Handling deviating control values in concentration-response curves}, year={2020}, doi={10.1007/s00204-020-02913-0}, number={11}, volume={94}, issn={0370-8497}, journal={Archives of Toxicology}, pages={3787--3798}, author={Kappenberg, Franziska and Brecklinghaus, Tim and Albrecht, Wiebke and Blum, Jonathan and van der Wurp, Carola and Leist, Marcel and Hengstler, Jan G. and Rahnenführer, Jörg} }

<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/123456789/51094"> <dc:contributor>Leist, Marcel</dc:contributor> <dcterms:issued>2020</dcterms:issued> <dc:creator>Hengstler, Jan G.</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-09-29T09:44:47Z</dc:date> <dc:creator>Kappenberg, Franziska</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-09-29T09:44:47Z</dcterms:available> <dc:contributor>Hengstler, Jan G.</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/51094"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Leist, Marcel</dc:creator> <dc:contributor>van der Wurp, Carola</dc:contributor> <dc:creator>Rahnenführer, Jörg</dc:creator> <dc:creator>van der Wurp, Carola</dc:creator> <dc:contributor>Kappenberg, Franziska</dc:contributor> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/51094/1/Kappenberg_2-xjlhniz3vmf90.pdf"/> <dcterms:abstract xml:lang="eng">In cell biology, pharmacology and toxicology dose-response and concentration-response curves are frequently fitted to data with statistical methods. Such fits are used to derive quantitative measures (e.g. EC[Formula: see text] values) describing the relationship between the concentration of a compound or the strength of an intervention applied to cells and its effect on viability or function of these cells. Often, a reference, called negative control (or solvent control), is used to normalize the data. The negative control data sometimes deviate from the values measured for low (ineffective) test compound concentrations. In such cases, normalization of the data with respect to control values leads to biased estimates of the parameters of the concentration-response curve. Low quality estimates of effective concentrations can be the consequence. In a literature study, we found that this problem occurs in a large percentage of toxicological publications. We propose different strategies to tackle the problem, including complete omission of the controls. Data from a controlled simulation study indicate the best-suited problem solution for different data structure scenarios. This was further exemplified by a real concentration-response study. We provide the following recommendations how to handle deviating controls: (1) The log-logistic 4pLL model is a good default option. (2) When there are at least two concentrations in the no-effect range, low variances of the replicate measurements, and deviating controls, control values should be omitted before fitting the model. (3) When data are missing in the no-effect range, the Brain-Cousens model sometimes leads to better results than the default model.</dcterms:abstract> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Blum, Jonathan</dc:creator> <dc:contributor>Brecklinghaus, Tim</dc:contributor> <dc:language>eng</dc:language> <dc:contributor>Albrecht, Wiebke</dc:contributor> <dc:rights>Attribution 4.0 International</dc:rights> <dc:contributor>Rahnenführer, Jörg</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/51094/1/Kappenberg_2-xjlhniz3vmf90.pdf"/> <dc:creator>Brecklinghaus, Tim</dc:creator> <dcterms:title>Handling deviating control values in concentration-response curves</dcterms:title> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:creator>Albrecht, Wiebke</dc:creator> <dc:contributor>Blum, Jonathan</dc:contributor> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> </rdf:Description> </rdf:RDF>

Downloads since Sep 29, 2020 (Information about access statistics)

Kappenberg_2-xjlhniz3vmf90.pdf 130

This item appears in the following Collection(s)

Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International

Search KOPS


Browse

My Account