Changes in Prolactin and Proopiomelanocortin Messenger RNA in Rat Pituitary as Shown by in Situ Hybridization View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1989

AUTHORS

J. H. Steel , Q. Hamid , S. Van Noorden , L. Chandrachud , P. Jones , P. Denny , J. Burrin , A. M. McNicol , S. Legon , S. R. Bloom , J. M. Polak

ABSTRACT

Although the peptide content of endocrine cells is reliably demonstrated by immunocytochemistry, it may be unrelated to the immediate physiological state of the cell and the turnover rate of cellular products. By studying the mRNA present in the cytoplasm by in situ hybridization, it is possible to evaluate the synthetic activity of a cell. Although the cytoplasmic mRNA content is dependent on factors such as the rate of post-transcriptional processing and mRNA stability as well as on the rate of formation of primary gene transcripts (1), in situ hybridization of mRNA is still a useful technique for comparing changes in physiological activity. Our hypothesis was that the combination of immunocytochemistry and in situ hybridization might provide a more complete picture of the dynamic endocrinology of a tissue. Prolactin and POMC gene expression in rat pituitary were used as examples. We studied prolactin synthesis and secretion during pregnancy and lactation, and also after ovariectomy, because estrogen is known to stimulate the synthesis and secretion of prolactin in vivo and in vitro (2,3), such regulation taking place at the level of prolactin gene transcription (4,5). Prolactin mRNA levels increase in pituitaries of normal rats or hypogonadal mice given estrogen treatment (6,7). The technique of in situ hybridization has already been used to demonstrate increased prolactin mRNA in sections of pituitary from rats given chronic diethylstilboestrol treatment (8) or estrogen (9). More... »

PAGES

143-153

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4612-3478-4_17

DOI

http://dx.doi.org/10.1007/978-1-4612-3478-4_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024703235


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