論文

査読有り
2014年5月

Studies on Morphology and Cytochemistry in Blood Cells of Ayu Plecoglossus altivelis altivelis

JOURNAL OF VETERINARY MEDICAL SCIENCE
  • Kojin Nakada
  • ,
  • Kuniyasu Fujisawa
  • ,
  • Hiroyuki Horiuchi
  • ,
  • Shuichi Furusawa

76
5
開始ページ
693
終了ページ
704
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1292/jvms.13-0584
出版者・発行元
JAPAN SOC VET SCI

Peripheral blood cells from ayu, Plecoglossus altivelis altivelis, were separated using a density gradient. Blood cells were then smeared using Shandon Cytospin and subjected to cytochemical staining. Blood cells were categorized based on morphological and cytochemical characteristics, and the density fractionation range and nucleus area/cell area ratio were observed. Lymphocytes are distinguished from neutrophils by their basophilic cytoplasm and Golgi-like field. The features of chromatin in thrombocytes are different from those of lymphocytes or neutrophils, but some small neutrophils have similar chromatin. Therefore, it is necessary to perform peroxidase staining to distinguish small neutrophils from thrombocytes. Basophils have large basophilic granules in cytoplasm. Based on density fractionation of blood cells, thrombocytes in the low-density area were separated from other blood cells. Identification of peripheral blood cells from ayu was possible with these staining methods. Monocytes/macrophages from spleen are specifically positive for esterase staining by a-naphthyl butyrate. As a result, thrombocytes, lymphocytes, neutrophils, basophils and monocytes/macrophages were identified in smears from peripheral blood or spleen tissue. In this paper, we confirmed that the peripheral blood corpuscles of ayu are able to be identified using the present staining methods.

リンク情報
DOI
https://doi.org/10.1292/jvms.13-0584
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000336512500010&DestApp=WOS_CPL
ID情報
  • DOI : 10.1292/jvms.13-0584
  • ISSN : 0916-7250
  • eISSN : 1347-7439
  • Web of Science ID : WOS:000336512500010

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