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Methods
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Methods
Article . 2011
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Mouse phenotyping

Authors: Helmut, Fuchs; Valérie, Gailus-Durner; Thure, Adler; Juan Antonio, Aguilar-Pimentel; Lore, Becker; Julia, Calzada-Wack; Patricia, Da Silva-Buttkus; +43 Authors

Mouse phenotyping

Abstract

Model organisms like the mouse are important tools to learn more about gene function in man. Within the last 20 years many mutant mouse lines have been generated by different methods such as ENU mutagenesis, constitutive and conditional knock-out approaches, knock-down, introduction of human genes, and knock-in techniques, thus creating models which mimic human conditions. Due to pleiotropic effects, one gene may have different functions in different organ systems or time points during development. Therefore mutant mouse lines have to be phenotyped comprehensively in a highly standardized manner to enable the detection of phenotypes which might otherwise remain hidden. The German Mouse Clinic (GMC) has been established at the Helmholtz Zentrum München as a phenotyping platform with open access to the scientific community (www.mousclinic.de; [1]). The GMC is a member of the EUMODIC consortium which created the European standard workflow EMPReSSslim for the systemic phenotyping of mouse models (http://www.eumodic.org/[2]).

Keywords

Behavior, Animal, Reference Standards, Urinalysis, Kidney Function Tests, Cataract, Mice, Mutant Strains, Mice, Mice, Neurologic Mutants, Phenotype, Mutagenesis, Animals, Blood Chemical Analysis, Pain Measurement

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
136
Top 10%
Top 10%
Top 1%
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