4.6 Review

Ovarian follicle development and transgenic mouse models

Journal

HUMAN REPRODUCTION UPDATE
Volume 12, Issue 5, Pages 537-555

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/humupd/dml022

Keywords

follicle development; ovary; transgenic mouse models

Funding

  1. NICHD NIH HHS [T32HD07170] Funding Source: Medline
  2. NIEHS NIH HHS [R01 ES012893] Funding Source: Medline
  3. NIGMS NIH HHS [F31 GM072195-02] Funding Source: Medline
  4. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [T32HD007170] Funding Source: NIH RePORTER
  5. NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [R01ES012893] Funding Source: NIH RePORTER
  6. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [F31GM072195] Funding Source: NIH RePORTER

Ask authors/readers for more resources

Ovarian follicle development is a complex process that begins with the establishment of what is thought to be a finite pool of primordial follicles and culminates in either the atretic degradation of the follicle or the release of a mature oocyte for fertilization. This review highlights the many advances made in understanding these events using transgenic mouse models. Specifically, this review describes the ovarian phenotypes of mice with genetic mutations that affect ovarian differentiation, primordial follicle formation, follicular growth, atresia, ovulation and corpus luteum (CL) formation. In addition, this review describes the phenotypes of mice with mutations in a variety of genes, which affect the hormones that regulate folliculogenesis. Because studies using transgenic animals have revealed a variety of reproductive abnormalities that resemble many reproductive disorders in women, it is likely that studies using transgenic mouse models will impact our understanding of ovarian function and fertility in women.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available