Literature DB >> 8733010

Cross-talk between cAMP and p53-generated signals in induction of differentiation and apoptosis in steroidogenic granulosa cells.

A Amsterdam1, I Keren-Tal, D Aharoni.   

Abstract

In each menstrual cycle only very few follicles in the mammalian ovary undergo maturation and ovulation while most of the follicles degenerate in the process of atresia. Moreover, in the absence of pregnancy, the newly formed corpora lutea will degenerate and disappear in the process of luteolysis. Recent studies suggest that ovarian follicular atresia is associated with DNA fragmentation and degeneration of follicular cells, characteristics of programmed cell death (apoptosis). Apoptosis can be induced in vitro, in primary granulosa cell culture, by serum deprivation and by induction of a high intracellular level of cAMP. This induction of apoptosis can be blocked by fibroblast growth factor, suggesting that receptor-medicated activation of a tyrosine kinase can serve as a survival signal. Apoptosis can also be induced in immortalized steroidogenic granulosa cells, transformed by SV40 DNA and Ha-ras oncogene, by overexpression of the wild-type p53 tumor suppressor gene in cAMP-stimulated cells. Omitting the cAMP stimulus prevents the p53-induced apoptosis in these cells, suggesting cross-talk between p53 and c-AMP-generated signals in the induction of apoptosis. Steroidogenic activity in these cells, as well as in nontransformed granulosa cells, does not decline during apoptosis but is rather significantly elevated before total cell collapse occurs. Cytochemical studies using confocal laser microscopy, electron microscopy, and three-dimensional reconstruction reveal a specific reorganization pattern of proteasomes, the most abundant nonlysosomal protease, and of the steroidogenic organelles, such as mitochondria and lipid droplets, in the apoptotic cell. Our results suggest that compartmentalization of intracellular organelles during apoptosis permits proteolysis without interfering with steroidogenesis, characteristic of the differentiated phenotype of the granulosa cell. Moreover, cytoskeletal rearrangement may serve as a barrier between these cellular activities.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8733010     DOI: 10.1016/0039-128x(96)00031-1

Source DB:  PubMed          Journal:  Steroids        ISSN: 0039-128X            Impact factor:   2.668


  7 in total

Review 1.  CRE-decoy oligonucleotide-inhibition of gene expression and tumor growth.

Authors:  Y S Cho-Chung; Y G Park; M Nesterova; Y N Lee; Y S Cho
Journal:  Mol Cell Biochem       Date:  2000-09       Impact factor: 3.396

2.  Childhood adrenocortical tumours: a review.

Authors:  Rosana Marques-Pereira; Luiz Delacerda; Hadriano M Lacerda; Edson Michalkiewicz; Fabiano Sandrini; Romolo Sandrini
Journal:  Hered Cancer Clin Pract       Date:  2006-05-15       Impact factor: 2.857

Review 3.  Genetic basis of pituitary adenoma invasiveness: a review.

Authors:  A Suhardja; K Kovacs; J Rutka
Journal:  J Neurooncol       Date:  2001-05       Impact factor: 4.130

Review 4.  Polysystic ovary syndrome--loss of the apoptotic mechanism in the ovarian follicles?

Authors:  R Homburg; A Amsterdam
Journal:  J Endocrinol Invest       Date:  1998-10       Impact factor: 4.256

5.  Effect of GnRH down-regulation on cumulus cell viability and apoptosis as measured by fluorescence-activated cell sorting.

Authors:  Pericles Assad Hassun Filho; Mariana Antunes Ribeiro; André Monteiro da Rocha; José Roberto Allegreti; Paulo Cesar Serafini; Eduardo Leme Alves da Motta
Journal:  J Assist Reprod Genet       Date:  2008-10-21       Impact factor: 3.412

6.  Estrogen Modulates Specific Life and Death Signals Induced by LH and hCG in Human Primary Granulosa Cells In Vitro.

Authors:  Livio Casarini; Laura Riccetti; Francesco De Pascali; Lisa Gilioli; Marco Marino; Eugenia Vecchi; Daria Morini; Alessia Nicoli; Giovanni Battista La Sala; Manuela Simoni
Journal:  Int J Mol Sci       Date:  2017-04-28       Impact factor: 5.923

7.  Transcriptome comparative analysis of ovarian follicles reveals the key genes and signaling pathways implicated in hen egg production.

Authors:  Xue Sun; Xiaoxia Chen; Jinghua Zhao; Chang Ma; Chunchi Yan; Simushi Liswaniso; Rifu Xu; Ning Qin
Journal:  BMC Genomics       Date:  2021-12-15       Impact factor: 3.969

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.