Conditional animal models for the study of lipid metabolism and lipid disorders

H. H. Bock, J. Herz, P. May

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Scopus citations


The advent of technologies that allow conditional mutagenesis has revolutionized our ability to explore gene functions and to establish animal models of human diseases. Both aspects have proven to be of particular importance in the study of lipid-related disorders. Classical approaches to gene inactivation by conventional gene targeting strategies have been successfully applied to generate animal models like the LDL receptor- and the apolipoprotein E-knockout mice, which are still widely used to study diverse aspects of atherosclerosis, lipid transport, and neurodegenerative disease. In many cases, however, simply inactivating the gene of interest has resulted in early lethal or complex phenotypes which are difficult to interpret. In recent years, additional tools have therefore been developed that allow the spatiotemporally controlled manipulation of the genome, as described in detail in Part I of this volume. Our aim is to provide an exemplary survey of the application of different conditional mutagenesis techniques in lipid research in order to illustrate their potential to unravel physiological functions of a broad range of genes involved in lipid homeostasis.

Original languageEnglish (US)
Title of host publicationConditional Mutagenesis
Subtitle of host publicationAn Approach to Disease Models
PublisherSpringer Science and Business Media, LLC
Number of pages33
ISBN (Print)9783540351085
StatePublished - 2007

Publication series

NameHandbook of Experimental Pharmacology
ISSN (Print)0171-2004
ISSN (Electronic)1865-0325


  • Atherosclerosis
  • LRP
  • Lipoprotein
  • PPAR

ASJC Scopus subject areas

  • Biochemistry
  • Pharmacology, Toxicology and Pharmaceutics(all)


Dive into the research topics of 'Conditional animal models for the study of lipid metabolism and lipid disorders'. Together they form a unique fingerprint.

Cite this