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Some Morphological and Functional Characteristics of Cells of the Porcine Theca Interna in Tissue Culture

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Ovarian Follicular and Corpus Luteum Function

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 112))

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Abstract

Theca interna cells were collected from large porcine follicles in the follicular phase of the cycle. The theca interna layer was manually separated from the theca externa, washed thoroughly, occasionally treated with hyaluronidase solution and trypsinized. The resulting cell suspension consisted of approximately 70% theca interna cells, 8% granulosa cells, and 23% nonsteroidogenic cells. In one experiment, cells collected from the granulosa layer and the theca interna of the same follicles were compared. Specific cell types were identified by: 1) staining with Oil Red 0 (ORO) to visualize lipid droplets in the cytoplasm, 2) measuring activity of the Δ 36-hydroxysteroid dehydrogenase (Δ 36-OH SH) enzyme, and 3) quantitating estrogen production by the cultured cells.

Theca interna cells can be distinguished from granulosa cells in suspension prior to culture by the following criteria:

  1. 1.

    more intense staining with ORO,

  2. 2.

    stronger Δ5,36-OH SH activity,

  3. 3.

    larger cell size.

Theca interna cells can be distinguished from granulosa cells by the following parameters:

  1. 1)

    more elongated shape,

  2. 2)

    slower and more chaotic growth,

  3. 3)

    weaker enzyme activity,

  4. 4)

    increased estrogen production.

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© 1979 Plenum Press, New York

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Stoklosowa, S., Bahr, J., Gregoraszczuk, E. (1979). Some Morphological and Functional Characteristics of Cells of the Porcine Theca Interna in Tissue Culture. In: Channing, C.P., Marsh, J.M., Sadler, W.A. (eds) Ovarian Follicular and Corpus Luteum Function. Advances in Experimental Medicine and Biology, vol 112. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-3474-3_17

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  • DOI: https://doi.org/10.1007/978-1-4684-3474-3_17

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-3476-7

  • Online ISBN: 978-1-4684-3474-3

  • eBook Packages: Springer Book Archive

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