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Understanding gene functions and disease mechanisms: Phenotyping pipelines in the German Mouse Clinic.

Behav. Brain Res. 352, 187-196 (2017)
Postprint DOI PMC
Open Access Green
Since decades, model organisms have provided an important approach for understanding the mechanistic basis of human diseases. The German Mouse Clinic (GMC) was the first phenotyping facility that established a collaboration-based platform for phenotype characterization of mouse lines. In order to address individual projects by a tailor-made phenotyping strategy, the GMC advanced in developing a series of pipelines with tests for the analysis of specific disease areas. For a general broad analysis, there is a screening pipeline that covers the key parameters for the most relevant disease areas. For hypothesis-driven phenotypic analyses, there are thirteen additional pipelines with focus on neurological and behavioral disorders, metabolic dysfunction, respiratory system malfunctions, immune-system disorders and imaging techniques. In this article, we give an overview of the pipelines and describe the scientific rationale behind the different test combinations.
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3.002
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10
15
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Mouse Phenotyping ; Phenotyping Pipeline ; Mouse Model ; Gene Function Analysis; Parkinsons-disease; Mice; Models; Homeostasis; Consortium; Disorders; Infection; Platform
Sprache
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 0166-4328
e-ISSN 1872-7549
Quellenangaben Band: 352, Heft: , Seiten: 187-196 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Po Box 211, 1000 Ae Amsterdam, Netherlands
Begutachtungsstatus Peer reviewed
POF Topic(s) 30201 - Metabolic Health
30202 - Environmental Health
30204 - Cell Programming and Repair
90000 - German Center for Diabetes Research
Forschungsfeld(er) Genetics and Epidemiology
Lung Research
Allergy
PSP-Element(e) G-500600-001
G-505000-001
G-505000-007
G-500500-001
G-500900-001
G-505400-001
G-500692-001
G-500600-004
G-501900-063
Scopus ID 85033471384
PubMed ID 28966146
Erfassungsdatum 2017-10-10