Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.

Sci. STKE, 26 October 2004
Vol. 2004, Issue 256, p. tw388
[DOI: 10.1126/stke.2562004tw388]


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).

To Advertise     Find Products

Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882