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Full-Text Articles in Life Sciences

A Non-Circadian Role For Clock-Genes In Sleep Homeostasis: A Strain Comparison, Paul Franken, Ryan Thomason, H. Craig Heller, Bruce F. O'Hara Oct 2007

A Non-Circadian Role For Clock-Genes In Sleep Homeostasis: A Strain Comparison, Paul Franken, Ryan Thomason, H. Craig Heller, Bruce F. O'Hara

Biology Faculty Publications

BACKGROUND: We have previously reported that the expression of circadian clock-genes increases in the cerebral cortex after sleep deprivation (SD) and that the sleep rebound following SD is attenuated in mice deficient for one or more clock-genes. We hypothesized that besides generating circadian rhythms, clock-genes also play a role in the homeostatic regulation of sleep. Here we follow the time course of the forebrain changes in the expression of the clock-genes period (per)-1, per2, and of the clock-controlled gene albumin D-binding protein (dbp) during a 6 h SD and subsequent recovery sleep in three inbred strains of mice for which …


Post Hoc Pattern Matching: Assigning Significance To Statistically Defined Expression Patterns In Single Channel Microarray Data, Randall Hulshizer, Eric M. Blalock Jul 2007

Post Hoc Pattern Matching: Assigning Significance To Statistically Defined Expression Patterns In Single Channel Microarray Data, Randall Hulshizer, Eric M. Blalock

Pharmacology and Nutritional Sciences Faculty Publications

BACKGROUND: Researchers using RNA expression microarrays in experimental designs with more than two treatment groups often identify statistically significant genes with ANOVA approaches. However, the ANOVA test does not discriminate which of the multiple treatment groups differ from one another. Thus, post hoc tests, such as linear contrasts, template correlations, and pairwise comparisons are used. Linear contrasts and template correlations work extremely well, especially when the researcher has a priori information pointing to a particular pattern/template among the different treatment groups. Further, all pairwise comparisons can be used to identify particular, treatment group-dependent patterns of gene expression. However, these approaches …