Literature DB >> 15539555

Bovine serum albumin-estrogen compounds differentially alter gonadotropin-releasing hormone-1 neuronal activity.

Jennifer L Temple1, Susan Wray.   

Abstract

Steroid hormones regulate a host of physiological processes and behaviors. These actions can occur by genomic mechanisms involving gene transcription or by nongenomic mechanisms proposed to involve receptors associated with the plasma membrane. BSA-conjugated steroid hormones have been extensively used to elucidate signal transduction pathways for these hormones. We have previously shown, using calcium imaging, that 17beta-estradiol (E2) significantly increases GnRH-1 neuronal activity. During the course of these experiments, it became apparent that three different BSA-estrogen compounds have been used in a variety of cell types: 17beta-estradiol 6-O-carboxymethyloxime-BSA (E2-6-BSA); 1,3,5(10)-estratrien-3,16alpha,17beta-triol-6-one 6-O-carboxymethyloxime-BSA (E-6-BSA); and 1,3,5(10)-estratrien-3,17beta-diol 17-hemisuccinate-BSA (E2-17-BSA). The effects of these compounds on GnRH-1 neuronal activity were compared using calcium imaging. E-6-BSA and E2-17-BSA, but not E2-6-BSA, significantly increased all parameters of GnRH-1 neuronal activity. In addition, the effects of these two BSA compounds were reversed by the estrogen receptor antagonist ICI 182,780 but not by inhibition of gene transcription. The effects of E2-17-BSA, but not E-6-BSA were reversed by treatment with pertussis toxin, which blocks G protein-coupled receptors. These data indicate that these compounds cannot be used interchangeably and clearly have different binding properties and/or different effects on target tissues.

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Year:  2004        PMID: 15539555     DOI: 10.1210/en.2004-1117

Source DB:  PubMed          Journal:  Endocrinology        ISSN: 0013-7227            Impact factor:   4.736


  25 in total

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Review 9.  Membrane-initiated estrogen signaling via Gq-coupled GPCR in the central nervous system.

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Journal:  Steroids       Date:  2018-01-31       Impact factor: 2.668

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Journal:  Endocrinology       Date:  2007-12-13       Impact factor: 4.736

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