Literature DB >> 11376105

Programmed cell death in the ovary: insights and future prospects using genetic technologies.

J K Pru1, J L Tilly.   

Abstract

Programmed cell death (PCD) plays a prominent role in development of the fetal ovaries and in the postnatal ovarian cycle. As is the case with other major organ systems, an evolutionarily conserved framework of genes and signaling pathways has been implicated in determining whether or not ovarian germ cells and somatic cells will die in response to either developmental cues or pathological insults. However, the identification of increasing numbers of potential ovarian cell death regulatory factors over the past several years has underscored the need for studies to now separate correlation (e.g. endogenous gene expression) from function (e.g. requirement of the gene product for the execution of PCD). In this regard, genetic technologies have recently been used to examine the functional significance of specific proteins and signaling molecules to the regulation of PCD in the female gonad in vivo. In addition to the more classic approaches, such as the use of genetic null and transgenic mice, methods that achieve cell lineage-selective and/or developmentally timed gene targeting are on the horizon for use by reproductive biologists to more accurately dissect the mechanisms by which PCD is controlled in the ovary. This minireview will highlight some of the advances that have already been made using gene knockout and transgenic mice, as well as provide an overview of the current and future status of cell lineage-selective gene disruption, in the context of PCD and ovarian function.

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Year:  2001        PMID: 11376105     DOI: 10.1210/mend.15.6.0646

Source DB:  PubMed          Journal:  Mol Endocrinol        ISSN: 0888-8809


  17 in total

Review 1.  The normal human menstrual cycle.

Authors:  N Chabbert-Buffet; P Bouchard
Journal:  Rev Endocr Metab Disord       Date:  2002-09       Impact factor: 6.514

Review 2.  Steroidogenic versus Metabolic Programming of Reproductive Neuroendocrine, Ovarian and Metabolic Dysfunctions.

Authors:  Rodolfo C Cardoso; Muraly Puttabyatappa; Vasantha Padmanabhan
Journal:  Neuroendocrinology       Date:  2015-04-01       Impact factor: 4.914

3.  Bisphenol A exposure inhibits germ cell nest breakdown by reducing apoptosis in cultured neonatal mouse ovaries.

Authors:  Changqing Zhou; Wei Wang; Jackye Peretz; Jodi A Flaws
Journal:  Reprod Toxicol       Date:  2015-06-04       Impact factor: 3.143

Review 4.  Ovarian and Extra-Ovarian Mediators in the Development of Polycystic Ovary Syndrome.

Authors:  Muraly Puttabyatappa; Vasantha Padmanabhan
Journal:  J Mol Endocrinol       Date:  2018-10-16       Impact factor: 5.098

5.  Altered sex hormone concentrations and gonadal mRNA expression levels of activin signaling factors in hatchling alligators from a contaminated Florida lake.

Authors:  Brandon C Moore; Satomi Kohno; Robert W Cook; Ashley L Alvers; Heather J Hamlin; Teresa K Woodruff; Louis J Guillette
Journal:  J Exp Zool A Ecol Genet Physiol       Date:  2010-04-01

6.  Germline quality control: eEF2K stands guard to eliminate defective oocytes.

Authors:  Hsueh-Ping Chu; Yi Liao; James S Novak; Zhixian Hu; Jason J Merkin; Yuriy Shymkiv; Bart P Braeckman; Maxim V Dorovkov; Alexandra Nguyen; Peter M Clifford; Robert G Nagele; David E Harrison; Ronald E Ellis; Alexey G Ryazanov
Journal:  Dev Cell       Date:  2014-02-27       Impact factor: 12.270

Review 7.  Pertinence of apoptosis markers for the improvement of in vitro fertilization (IVF).

Authors:  D Haouzi; S Hamamah
Journal:  Curr Med Chem       Date:  2009       Impact factor: 4.530

Review 8.  Cellular and molecular mechanisms of various types of oocyte aging.

Authors:  Toshifumi Takahashi; Hideki Igarashi; Mitsuyoshi Amita; Shuichiro Hara; Hirohisa Kurachi
Journal:  Reprod Med Biol       Date:  2011-07-02

9.  Gene expression profiling of preovulatory follicle in the buffalo cow: effects of increased IGF-I concentration on periovulatory events.

Authors:  Jyotsna U Rao; Kunal B Shah; Jayaram Puttaiah; Medhamurthy Rudraiah
Journal:  PLoS One       Date:  2011-06-20       Impact factor: 3.240

10.  Ovarian follicle counts--not as simple as 1, 2, 3.

Authors:  Jonathan L Tilly
Journal:  Reprod Biol Endocrinol       Date:  2003-02-06       Impact factor: 5.211

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