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Small conductance calcium-activated potassium (SK) channels are important in controlling neuronal excitability and three SK channels have been identified to date. In the present study, we report the first quantitative analysis of SK1, SK2 and SK3 expression in human brain using TaqMan RT-PCR on a range of human brain and peripheral tissue samples. SK1(More)
The expression of the small conductance calcium-activated potassium channels SK1, SK2 and SK3 was investigated in the TE671 human medulloblastoma cell line using RT-PCR and transcripts were detected only for SK3. Immunodetection experiments confirmed this result, demonstrating the presence of the SK3 protein. This potassium channel was characterised in(More)
BACKGROUND The Central Dogma of biology holds, in famously simplified terms, that DNA makes RNA makes proteins, but there is considerable uncertainty regarding the general, genome-wide correlation between levels of RNA and corresponding proteins. Therefore, to assess degrees of this correlation we compared the RNA profiles (determined using both cDNA- and(More)
We have cloned three sox genes in zebrafish (Danio rerio), one related to human and chicken SOX21, and two related to mammalian and chicken Sox-11. Zebrafish sox21, sox11A and sox11B transcripts are accumulated in the egg, are present in all cells until gastrulation and become restricted later to the developing central nervous system (CNS); expression in(More)
In the exploding field of gene expression techniques such as DNA microarrays, there are still few general probabilistic methods for analysis of variance. Linear models and ANOVA are heavily used tools in many other disciplines of scientific research. The usual F-statistic is unsatisfactory for microarray data, which explore many thousand genes in parallel,(More)
Motivation: In the exploding field of gene expression techniques such as DNA microarrays, there are still few general probabilistic methods for analysis of variance. Linear models and anova are heavily used tools in many other disciplines of scientific research. The usual F-statistic is unsatisfactory for microarray data, which explores many thousand genes(More)
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