Biomedical subjects

Juha E A Knuuttila

Publications and source records attributed to Juha E A Knuuttila.

3 recordsLinked to original sources

PubMed2005

The effects of acute and long-term lithium treatments on trkB neurotrophin receptor activation in the mouse hippocampus and anterior cingulate cortex.

As brain-derived neurotrophic factor (BDNF) and its receptor trkB are linked to the etiology and treatment of mood disorders, we examined the effects of acute and long-term treatment of mood-stabilizer lithium on trkB activation and signaling and BDNF levels in the mouse anterior cingulate cortex (AC) and hippocampus (HC). The trkB activity was measured using specific antibodies against the phosphorylated trkB catalytic domain (pY705/6) and the shc binding site (pY515). In the AC, both acute and long-term LiCl treatment enhanced the pY705/6 of trkB. In contrast, acute or long-term LiCl treatment did not significantly alter the pY705/6 of trkB in the HC. Interestingly, however, acute LiCl treatment significantly reduced the phosphorylation of cAMP related element binding protein (CREB), a major intracellular target of trkB, in the HC. Moreover, pY515 of trkB in the AC and HC was not altered by any of the treatment. Also, prolonged LiCl treatment had no significant effects on BDNF levels or CREB activation in either the AC or HC. The present results suggest that acute and long-term lithium treatment induces trkB activation in the AC but not in the HC. The activation of CREB is, however, significantly reduced in the HC after acute LiCl treatment.

Animals↗

PubMed2004

Effects of antidepressant drug imipramine on gene expression in rat prefrontal cortex.

We have investigated gene expression changes produced by acute and chronic daily treatment with a prototypical antidepressant, imipramine, using DNA microarrays. The analysis of similarities in gene expression patterns among functionally related genes revealed four expression profile cluster areas that showed a highly significant overrepresentation of several functional classes. Genes encoding for proteins involved in cAMP metabolism, postsynaptic membrane proteins, and proto-oncogenes were overrepresented in different cluster areas. Furthermore, we found that serine proteases as a group were similarly regulated by chronic antidepressant treatment. Our data suggest that cAMP metabolism, synaptic function, and protein processing by serine proteases may be important targets of antidepressant treatment and potential objects for antidepressant drug development.

Algorithms↗

PubMedDate not supplied

Associative clustering for exploring dependencies between functional genomics data sets.

High-throughput genomic measurements, interpreted as cooccurring data samples from multiple sources, open up a fresh problem for machine learning: What is in common in the different data sets, that is, what kind of statistical dependencies are there between the paired samples from the different sets? We introduce a clustering algorithm for exploring the dependencies. Samples within each data set are grouped such that the dependencies between groups of different sets capture as much of pairwise dependencies between the samples as possible. We formalize this problem in a novel probabilistic way, as optimization of a Bayes factor. The method is applied to reveal commonalities and exceptions in gene expression between organisms and to suggest regulatory interactions in the form of dependencies between gene expression profiles and regulator binding patterns.

Algorithms↗