Schistosome serine protease inhibitors: parasite defense or homeostasis?

Serpins are a structurally conserved family of macromolecular inhibitors found in numerous biological systems. The completion and annotation of the genomes of Schistosoma mansoni and Schistosoma japonicum has enabled the identification by phylogenetic analysis of two major serpin clades. S. mansoni shows a greater multiplicity of serpin genes, perhaps reflecting adaptation to infection of a human host. Putative targets of schistosome serpins can be predicted from the sequence of the reactive center loop (RCL). Schistosome serpins may play important roles in both post-translational regulation of schistosome-derived proteases, as well as parasite defense mechanisms against the action of host proteases.<br>Serpinas são uma família de inibidores macromoleculares estruturalmente conservados encontrados em inúmeros sistemas biológicos. O término e a anotação dos genomas de Schistosoma mansoni e de Schistosoma japonicum permitiram a identificação por análise filogenética de dois principais clados de serpinas. S. mansoni mostra uma multiplicidade maior de genes de serpinas, talvez refletindo uma adaptação à infecção de um hospedeiro humano. Alvos putativos das serpinas de esquistossomos podem ser preditos a partir da sequência do "loop" do centro reativo. Serpinas de esquistossomos podem ter importantes papeis tanto na regulação pós-traducional de proteases derivadas do esquistossoma, quanto nos mecanismos de defesa contra a ação de proteases do hospedeiro

Efficient communication dynamics on macro-connectome, and the propagation speed

Global communication dynamics in the brain can be captured using fMRI, MEG, or electrocorticography (ECoG), and the global slow dynamics often represent anatomical constraints. Complementary single-/multi-unit recordings have described local fast temporal dynamics. However, global fast temporal dynamics remain incompletely understood with considering of anatomical constraints. Therefore, we compared temporal aspects of cross-area propagations of single-unit recordings and ECoG, and investigated their anatomical bases. First, we demonstrated how both evoked and spontaneous ECoGs can accurately predict latencies of single-unit recordings. Next, we estimated the propagation velocity (1.0–1.5 m/s) from brain-wide data and found that it was fairly stable among different conscious levels. We also found that the shortest paths in anatomical topology strongly predicted the latencies. Finally, we demonstrated that Communicability, a novel graph-theoretic measure, is able to quantify that more than 90% of paths should use shortest paths and the remaining are non-shortest walks. These results revealed that macro-connectome is efficiently wired for detailed communication dynamics in the brain