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Comparative Histological Study on the Parafollicular Cells of Mammals (각종 포유동물 갑상선내의 소포방세포에 관한 비교조직학적 연구)

  • 고정식;박상윤
    • The Korean Journal of Zoology
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    • v.23 no.2
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    • pp.89-108
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    • 1980
  • Comparative studies on the parafollicular cells of the some mammalian species from five different orders were carried out; i.e., man from Primates, cattle, pig, and black goat from Artiodactyla, dog from Carnivora, rabbit from Lagomorpha, rat, mouse, and squirrel from Rodentia. For this study, various special techniques for the parafollicular cells, including Grimelius' silver impregnation method (Sawicki and Bajko, 1974), Singh's argentaffin method (Singh, 1964), HCl-toluidine blue stain (Sawicki, 1971), and HCl-lead hematoxylin stain (Solcia et al., 1969), were applied. Authors obtained the following results: 1. Number of parafollicular cells in the same area of thyroid tissues are significantly different from species to species. Number of cells were largest in dog and less cells were found in the following orders; rat, squirrel, mouse, rabbit, cattle, pig, black goat and finally the smallest number in man. 2. Distribution of parafollicular cells within thyroid gland are significantly different from portion to portion in case of cattle, rabbit, squirrel and mouse, but it is not significant in dog, man, pig, black goat and rat (see Table 1-1 and 1-2). 3. In dog, clustered parafollicular cells are located usually in the interfollicular space, and groups of parafollicular cells are located in the para-and/or inter-follicular positions in rabbit. But in the other animals parafollicular cells are found solitarily in the intra-and/or para-follicular positions. 4. The shape of parafollicular cells shows oval to round contour in dog, but it is polymorphic, for example, spindle, conical, oval, round or elongated with cytoplasmic processes, in the other animals. 5. Size of parafollicular cells is larger in cattle, dog and pig, smaller in rat, mouse and squirrel, and medium-size in rabbit, man and black goat. 6. Parafollicular cells of pig, cattle, dog and squirrel are observed to contain densely packed granules, whereas those of mouse, rat and man contain relatively scanty granules. 7. Parafollicular cells of all the mammals show more or less positive reaction to Grimelius' argyrophile silver impregnation method, HCl-toluidine blue stain and HCl-lead hematoxylin stain, whereas they show negative reaction to argentaffin method (see Table 2). 8. Considering the above finding, it is concluded that there are species differences in the distribution, location and shape of parafollicular cells, and infer that preferable staining method should be selected for reliable detection of parafollicular cells, beacuse staining methods applied on the cells in this study show variable reactions according to species.

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Identifying Bridging Nodes and Their Essentiality in the Protein-Protein Interaction Networks (단백질 상호작용 네트워크에서 연결노드 추출과 그 중요도 측정)

  • Ahn, Myoung-Sang;Ko, Jeong-Hwan;Yoo, Jae-Soo;Cho, Wan-Sup
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.5
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    • pp.1-13
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    • 2007
  • In this research, we found out that bridging nodes have great effect on the robustness of protein-protein interaction networks. Until now, many researchers have focused on node's degree as node's essentiality. Hub nodes in the scale-free network are very essential in the network robustness. Some researchers have tried to relate node's essentiality with node's betweenness centrality. These approaches with betweenness centrality are reasonable but there is a positive relation between node's degree and betweenness centrality value. So, there are no differences between two approaches. We first define a bridging node as the node with low connectivity and high betweenness value, we then verify that such a bridging node is a primary factor in the network robustness. For a biological network database from Internet, we demonstrate that the removal of bridging nodes defragment an entire network severally and the importance of the bridging nodes in the network robustness.

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