Biomedical subjects

Yoshiaki Sugiyama

Publications and source records attributed to Yoshiaki Sugiyama.

2 recordsLinked to original sources

PubMed2003

Rapid appearance of pathological changes of neurons and glia cells in the cerebellum of microsphere-embolized rats.

Neuropathological changes in the cerebellar cortex of microsphere-embolized rats were studied at 30 min and 3 h after the embolism. Necrotic processes including a sponge-like vacuolation in the molecular layer, a vague outline of some Purkinje cells, and a few pyknotic granule cells having small and dark profiles were identified at sometime between 30 min and 3 h after microsphere-induced embolism in Nissl staining. Glial fibrillary acidic protein staining shows an apparent reduction in the number of Bergmann glial processes in some of the areas where there was necrosis of the molecular layer and poor astroglia processes in the areas subjacent to the pyknotic granule cells. These data demonstrate that within a short time, microsphere-induced cerebral ischemia produces necrosis of cerebellar neurons (i.e. Purkinje and granule cells) and changes in cerebellar glia cells (i.e. Bergmann and astroglia cells), and that these neuropathological changes are secondary phenomenon caused by microsphere blockage of cerebellar blood flow.

Animals↗

PubMed2003

Identification of transmembrane protein functions by binary topology patterns.

We propose a novel method for identifying and classifying the functions of transmembrane (TM) proteins based on their TM topology [the number of TM segments (tms), the loop length and the N-terminus location]. In this method, the TM topology is expressed as a string of '0' and '1', and this is designated the binary topology pattern (BTP). We focused on TM proteins with up to 12 tms, with the exception of 1 and 9 tms, and classified them into 37 functional groups by the number of tms and the functional annotation. These grouped TM protein sequences were used to determine BTPs which are specific to the individual functional groups. Since the evaluated accuracies (sensitivity, specificity and self-consistency) of these patterns in functional identification were quite high overall, i.e. 0.940, 0.934 and 0.935, respectively, as averaged over the 37 functional groups, we confirmed that TM protein function can be identified by the number of tms and the characteristics of loop lengths, i.e. BTPs.

Data Interpretation, Statistical↗