Analysis of the shapes of coelomocytes of Aphelasterias japonica in vitro (Echinodermata: Asteroidea).

A description and formal classification of in vitro spreading coelomocytes from the Aphelasterias japonica sea star was performed using 39 parameters of linear and nonlinear morphometry based on the correlation, factor, and cluster analysis. The comparison of a variety of clustering models revealed...

Descripción completa

Detalles Bibliográficos
Publicado en:Protoplasma Vol. 254; no. 4; pp. 1805 - 1812
Autores principales: Karetin, Yu, Pushchin, II
Formato: Journal Article
Publicado: Springer Nature Jul2017
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123670281&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 123670281
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        0033183X
        2CF
      jtl: Protoplasma
      issn: 0033183X
      maglogo: N
    pubinfo:
      dt: Jul2017
      vid: 254
      iid: 4
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        123670281
        143936374
        10.1007/s00709-017-1078-z
        123670281
      ppf: 1805
      ppct: 7
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Analysis of the shapes of coelomocytes of Aphelasterias japonica in vitro (Echinodermata: Asteroidea).
      aug:
        au:
          Karetin, Yu
          Pushchin, II
        affil: A.V. Zhirmunsky Institute of Marine Biology, National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences , Palchevskogo St., 17 Vladivostok Russia 690041
      sug:
      ab: A description and formal classification of in vitro spreading coelomocytes from the Aphelasterias japonica sea star was performed using 39 parameters of linear and nonlinear morphometry based on the correlation, factor, and cluster analysis. The comparison of a variety of clustering models revealed the optimum classification parameters and algorithms. As a result, four morphological types of spreading cells significantly differing in a number of structural parameters were identified. This approach may be an important alternative or addition to classical methods of classification of polymorphic, irregularly shaped cells, in particular, cell elements of the invertebrate immune system. It provides the optimum methodology for structural analysis and classification of cells as a part of their further investigation in terms of structure, function, ontogeny, and diversity.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N