Expression profiling and comparative sequence derived insights into lipid metabolism
- LBNL Library
Expression profiling and genomic DNA sequence comparisons are increasingly being applied to the identification and analysis of the genes involved in lipid metabolism. Not only has genome-wide expression profiling aided in the identification of novel genes involved in important processes in lipid metabolism such as sterol efflux, but the utilization of information from these studies has added to our understanding of the regulation of pathways participating in the process. Coupled with these gene expression studies, cross species comparison, searching for sequences conserved through evolution, has proven to be a powerful tool to identify important non-coding regulatory sequences as well as the discovery of novel genes relevant to lipid biology. An example of the value of this approach was the recent chance discovery of a new apolipoprotein gene (apo AV) that has dramatic effects upon triglyceride metabolism in mice and humans.
- Research Organization:
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US)
- Sponsoring Organization:
- US Department of Energy; National Institutes of Health Grant HL63897-02, National Heart Lung and Blood Institute Project Grant 5U01 HL688881-02 (US)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 836785
- Report Number(s):
- LBNL--49387
- Journal Information:
- Current Opinion in Lipidology, Journal Name: Current Opinion in Lipidology Journal Issue: 2 Vol. 13
- Country of Publication:
- United States
- Language:
- English
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