Sci. STKE, 26 October 2004
BIOINFORMATICS High-Throughput Gene Regulator Analysis
It is an ongoing challenge to extract genetic insights as rapidly as possible, making the most efficient use of resources. Liao et al. have used a computational approach and a haplotype map of 16 inbred mouse strains to identify genes and regulatory elements without the delays imposed by generating crosses. This approach was used first to confirm previously identified loci associated with major histocompatibility complex (MHC) phenotypes and the ability to regulate the response to aromatic hydrocarbon. Gene expression profiles were then used to identify a novel regulatory element associated with variation of the levels of expression of an MHC class II gene among 10 inbred strains.
G. Liao, J. Wang, J. Guo, J. Allard, J. Cheng, A. Ng, S. Shafer, A. Puech, J. D. McPherson, D. Foernzler, G. Peltz, J. Usuka, In silico genetics: Identification of a functional element regulating H2-Eα gene expression. Science 306, 690-695 (2004). [Abstract][Full Text]
Citation: High-Throughput Gene Regulator Analysis. Sci. STKE 2004, tw388 (2004).
Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882