Literature DB >> 11435141

Neutral endopeptidase is expressed on the follicular granulosa cells of rabbit ovaries.

J P Zappulla1, L DesGroseillers.   

Abstract

Neutral endopeptidase (NEP) is a zinc metallopeptidase ubiquitously distributed in various tissues in mammals. This peptidase is involved in the post-secretory metabolism of various neuropeptides and peptide hormones in vivo, such as enkephalins, bradykinin, atrial natriuretic peptide, substance P and endothelins. In this paper we show that NEP is expressed in ovaries as a 110-kDa glycosylated integral membrane protein with enzymatic properties similar to those of the kidney protein. Using immunohistochemistry, we localize the peptidase in the granulosa cells of follicles at all stages of maturation, with the exception of atretic follicles. We also observe immunoreactive staining in the epithelia that lines the blood vessels in the medulla and the surface of the ovary. The co-localization of NEP and bioactive peptides known to be physiological substrates of NEP in other tissues suggests an important role for this protein in processes such as follicle maturation, ovulation, and/or regulation of ovarian blood flow, by modulating the physiological function of these peptides.

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Year:  2001        PMID: 11435141     DOI: 10.1016/s1096-4959(01)00390-6

Source DB:  PubMed          Journal:  Comp Biochem Physiol B Biochem Mol Biol        ISSN: 1096-4959            Impact factor:   2.231


  3 in total

1.  Progesterone regulation of progesterone receptor membrane component 1 (PGRMC1) sumoylation and transcriptional activity in spontaneously immortalized granulosa cells.

Authors:  John J Peluso; Valentina Lodde; Xiufang Liu
Journal:  Endocrinology       Date:  2012-06-19       Impact factor: 4.736

Review 2.  Involvement of ACE2/Ang-(1-7)/MAS1 Axis in the Regulation of Ovarian Function in Mammals.

Authors:  Kamila Domińska
Journal:  Int J Mol Sci       Date:  2020-06-27       Impact factor: 5.923

Review 3.  Neprilysin expression and functions in development, ageing and disease.

Authors:  N N Nalivaeva; I A Zhuravin; A J Turner
Journal:  Mech Ageing Dev       Date:  2020-09-26       Impact factor: 5.432

  3 in total

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