Showing papers by "Fabio Benfenati published in 1990"
TL;DR: A working model for the molecular mechanisms by which the synapsins act is proposed, which proposes that synapsin I links synaptic vesicles to actin filaments in the presynaptic nerve terminal and that these interactions are modulated by the reversible phosphorylation of synapin I through various signal transduction pathways.
Abstract: Synapsin I and II are a family of synaptic vesicle-associated phosphoproteins involved in the short-term regulation of neurotransmitter release. In this review, we discuss a working model for the molecular mechanisms by which the synapsins act. We propose that synapsin I links synaptic vesicles to actin filaments in the presynaptic nerve terminal and that these interactions are modulated by the reversible phosphorylation of synapsin I through various signal transduction pathways. The high degree of homology between the synapsins suggests that some of the functional properties of synapsin I are also shared by synapsin II.
86 citations
TL;DR: It is hypothesized that membrane domains, made by patches of membrane in which preselected molecular movements are possible resulting in molecular interactions, can have an important role in the integrative capabilities of neural tissue.
40 citations
TL;DR: The effects of aging processes on the neurochemical features of central transmitter-identified neuronal populations have been investigated by means of immunocytochemistry and receptor autoradiographic techniques coupled with image analysis.
13 citations
01 Jan 1990
TL;DR: The theoretical work in the field of numerical classification was adapted to the aim of characterizing various brain areas in classes according to their transmitter contents, and the study of neuropeptide distribution in 15 brain areas clearly demonstrated that the hypothalamus is particularly noteworthy due to its higher neuropeptic content.
Abstract: The possibility of using taxonomic techniques to classify neuronal populations was explored. In particular, coefficients of similarity such as the Canberra metric and the Shannon diversity index were examined. The theoretical work in the field of numerical classification was adapted to the aim of characterizing various brain areas in classes according to their transmitter contents. The study of neuropeptide distribution in 15 brain areas clearly demonstrated that, of these, the hypothalamus is particularly noteworthy due to its higher neuropeptide content.
7 citations
TL;DR: In this paper, the authors explored the possibility of using taxonomic techniques to classify neuronal populations, in particular coefficients of similarity such as the Canberra metric and the Shannon diversity index, and adapted theoretical work in the field of numerical classification to the aim of characterizing various brain areas in classes according to their transmitter contents.
4 citations