Expression profiling and comparative sequence derived insights into lipid metabolism.
Expression profiling and genomic DNA sequence comparisons are increasingly being applied to the identification and analysis of the genes that are involved in lipid metabolism. Not only has genome-wide expression profiling aided in the identification of novel genes that are involved in important processes in lipid metabolism such as sterol efflux, but also the utilization of information from these studies has added to our understanding of the regulation of pathways that participate in the process. Coupled with these gene expression studies, cross-species comparison (a technique used to search for sequences that are conserved through evolution) has proven to be a powerful tool to identify important noncoding regulatory sequences and novel genes that are relevant to lipid biology. An example of the value of this approach was the recent chance discovery of a new apolipoprotein gene (that which encodes apolipoprotein AV) that has dramatic effects on triglyceride metabolism in mice and humans.
Callow
Matthew J
MJ
Genome Sciences Department, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. mjcallow@lbl.gov
Rubin
Edward M
EM
D000818:Animals; D001053:Apolipoproteins / Q000502:physiology; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D016678:Genome; D006801:Humans; D050356:Lipid Metabolism; D051379:Mice; D020411:Oligonucleotide Array Sequence Analysis; D014157:Transcription Factors / Q000502:physiology
D001053:Apolipoproteins; D014157:Transcription Factors