PubMed Health⌕ Search

Biomedical subjects

Kevin R Hayes

Publications and source records attributed to Kevin R Hayes.

5 recordsLinked to original sources
PubMed2005

Comparative genomics as a tool in the understanding of eukaryotic transcriptional regulation.

Comparative genomics approaches are having a remarkable impact on the study of transcriptional regulation in eukaryotes. Many eukaryotic genome sequences are being explored by new computational methods and high-throughput experimental tools such as DNA arrays and genome-wide location analyses. These tools are enabling efficient panning for common regulatory cassettes underlying fundamental biological processes, extending the use of existing techniques for the discovery of response elements to mammals, deciphering the transcriptional regulatory code in eukaryotes and providing the first global insights into a recently described post-transcriptional regulatory mechanism. Collectively, these approaches are rapidly expanding both our knowledge and our definition of transcriptional regulation.

Animals↗
PubMed2005

Circadian clocks are seeing the systems biology light.

Circadian rhythms are those biological rhythms that have a periodicity of around 24 hours. Recently, the generation of a circadian transcriptional network -- compiled from RNA-expression and promoter-element analysis and phase information -- has led to a better understanding of the gene-expression patterns that regulate the precise 24-hour clock.

Animals↗
PubMed2005

EDGE: a centralized resource for the comparison, analysis, and distribution of toxicogenomic information.

Transcriptional profiling via microarrays holds great promise for toxicant classification and hazard prediction. Unfortunately, the use of different microarray platforms, protocols, and informatics often hinders the meaningful comparison of transcriptional profiling data across laboratories. One solution to this problem is to provide a low-cost and centralized resource that enables researchers to share toxicogenomic data that has been generated on a common platform. In an effort to create such a resource, we developed a standardized set of microarray reagents and reproducible protocols to simplify the analysis of liver gene expression in the mouse model. This resource, referred to as EDGE, was then used to generate a training set of 117 publicly accessible transcriptional profiles that can be accessed at http://edge.oncology.wisc.edu/. The Web-accessible database was also linked to an informatics suite that allows on-line clustering and K-means analyses as well as Boolean and sequence-based searches of the data. We propose that EDGE can serve as a prototype resource for the sharing of toxicogenomics information and be used to develop algorithms for efficient chemical classification and hazard prediction.

Animals↗
PubMed2002

Application of genomics to toxicology research.

Traditional models of toxicity have relied on dissecting chemical action into pharmacokinetic and pharmacodynamic processes. However, the integration of genomic information with toxicology will enhance our basic understanding of these processes and significantly change the way we apply toxicological information to risk assessment and regulatory problems. In this article, we summarize the application of gene expression information and polymorphism discovery to four areas in toxicology: toxicity testing, cross-species extrapolation, understanding mechanism of action, and susceptibility.

Animals↗