Efeitos da sinalização via creb sobre a sobrevivência e diferenciação meuronal

The cortical development requires a precise process of proliferation, migration, survival and differentiation of newly formed neurons to finally achieve the development of a functional network. Different kinases, such as PKA, CaMKII, MAPK and PI3K, phosphorylate the transcription factors CREB, and thus activate it, inducing CREB-dependent gene expression. In order to identify the involvement of such signaling pathways mediated by CREB over neuronal differentiation and survival, in vitro experiments of cell culture were conducted using pharmacological kinase inhibitors and genetic techniques to express different forms of CREB (A-CREB and CREB-FY) in cortical neurons. Inhibition of PKA and CaMKII decreased the length of neuronal processes (neurites); whereas inhibition of MAPK did not affect the length, but increased the number of neurites. Blockade of PI3K do not appear to alter neuronal morphology, nor the soma size changed with the kinase blockades. CREB activation (CREB-FY) along with MAPK and PI3K blockades presented a negative side effect over neuritic growth and the expression of A-CREB leaded to a significant decrease in neuronal survival after 60h in vitro and mimicked some of the effects on neuronal morphology observed with PKA and CaMKII blockade. In summary the signaling through CREB influences the morphology of cortical neurons, particularly when phosphorylated by PKA, and CREB signaling is also important for survival of immature neurons prior to the establishment of fully functional synaptic contacts. Our data contribute to understanding the role of CREB signaling, activated by different routes, on survival and neuronal differentiation and may be valuable in the development of regenerative strategies in different neurological diseases

Neuronal Assembly Detection and Cell Membership Specification by Principal Component Analysis

LOPES-DOS-SANTOS, V. , CONDE-OCAZIONEZ, S. ; NICOLELIS, M. A. L. , RIBEIRO, S. T. , TORT, A. B. L. . Neuronal assembly detection and cell membership specification by principal component analysis. Plos One, v. 6, p. e20996, 2011.

Detecting cell assemblies in large neuronal populations

Recent progress in the technology for single unit recordings has given the neuroscientific community theopportunity to record the spiking activity of large neuronal populations. At the same pace, statistical andmathematical tools were developed to deal with high-dimensional datasets typical of such recordings.A major line of research investigates the functional role of subsets of neurons with significant co-firingbehavior: the Hebbian cell assemblies. Here we review three linear methods for the detection of cellassemblies in large neuronal populations that rely on principal and independent component analysis.Based on their performance in spike train simulations, we propose a modified framework that incorpo-rates multiple features of these previous methods. We apply the new framework to actual single unitrecordings and show the existence of cell assemblies in the rat hippocampus, which typically oscillate attheta frequencies and couple to different phases of the underlying field rhythm