Literature DB >> 18932212

Molecular mechanisms regulating bovine ovarian follicular selection.

Zhilin Liu1, Robert S Youngquist, H Allen Garverick, Eric Antoniou.   

Abstract

Transcription profiling of ovarian follicles. Understanding the mechanisms by which a single follicle is selected for further ovulation is important to control fertility in mammals. However, development of new treatments is limited by our poor understanding of molecular mechanisms regulating follicular selection. Our hypothesis is that genes involved in the control of cell proliferation and apoptosis are differentially regulated during follicular selection. Our objective was to identify these new genes. Bovine follicles were collected and gene expression levels were measured using microarrays. First, follicles were allocated to three groups, according to the time spent from the initiation of follicular wave to surgery (24 H, 36 H, and 48-60 H). Fifty-seven genes are differentially expressed at a false discovery rate of 5%. These genes are involved in the control of lipid metabolism (P-value = 0.0005), cell proliferation (0.007), cell death (0.003), cell morphology (0.003), and immune response (0.003). Follicles were also grouped into four categories, according to the expected time of deviation (early deviation; 8 mm, mid-deviation; 8.5 mm, late deviation; 9 mm, dominant follicles; >or=10 mm). One hundred and twenty eight genes are differentially expressed between these four groups, including genes involved in cell proliferation (0.00002), cell death (0.0006), cell-to-cell signaling (0.003), cell morphology (0.003), lipid metabolism (0.0004), and immune response (0.00007). The expression levels of 10 genes were confirmed using quantitative real time PCR. As expected, we identified new differentially regulated genes involved in the control of cell growth and apoptosis. We also discovered a potential role for immune cells, and in particular macrophages, in follicular selection. (c) 2008 Wiley-Liss, Inc.

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Year:  2009        PMID: 18932212     DOI: 10.1002/mrd.20967

Source DB:  PubMed          Journal:  Mol Reprod Dev        ISSN: 1040-452X            Impact factor:   2.609


  12 in total

1.  Research resource: preovulatory LH surge effects on follicular theca and granulosa transcriptomes.

Authors:  Lane K Christenson; Sumedha Gunewardena; Xiaoman Hong; Marion Spitschak; Anja Baufeld; Jens Vanselow
Journal:  Mol Endocrinol       Date:  2013-05-28

2.  Differential genome-wide gene expression profiling of bovine largest and second-largest follicles: identification of genes associated with growth of dominant follicles.

Authors:  Ken-Go Hayashi; Koichi Ushizawa; Misa Hosoe; Toru Takahashi
Journal:  Reprod Biol Endocrinol       Date:  2010-02-05       Impact factor: 5.211

3.  Age-associated changes in bovine oocytes and granulosa cell complexes collected from early antral follicles.

Authors:  N Itami; R Kawahara-Miki; H Kawana; M Endo; T Kuwayama; H Iwata
Journal:  J Assist Reprod Genet       Date:  2014-05-17       Impact factor: 3.412

4.  Differential gene expression of serine protease inhibitors in bovine ovarian follicle: possible involvement in follicular growth and atresia.

Authors:  Ken-Go Hayashi; Koichi Ushizawa; Misa Hosoe; Toru Takahashi
Journal:  Reprod Biol Endocrinol       Date:  2011-05-27       Impact factor: 5.211

Review 5.  KIFC1: a promising chemotherapy target for cancer treatment?

Authors:  Yu-Xi Xiao; Wan-Xi Yang
Journal:  Oncotarget       Date:  2016-07-26

6.  Fertility-Associated Polymorphism within Bovine ITGβ5 and Its Significant Correlations with Ovarian and Luteal Traits.

Authors:  Jianing Zhao; Jie Li; Fugui Jiang; Enliang Song; Xianyong Lan; Haiyu Zhao
Journal:  Animals (Basel)       Date:  2021-05-28       Impact factor: 2.752

7.  Transcriptome profiling of granulosa cells from bovine ovarian follicles during atresia.

Authors:  Nicholas Hatzirodos; Katja Hummitzsch; Helen F Irving-Rodgers; Margaret L Harland; Stephanie E Morris; Raymond J Rodgers
Journal:  BMC Genomics       Date:  2014-01-18       Impact factor: 3.969

8.  Transcriptome profiling of granulosa cells of bovine ovarian follicles during growth from small to large antral sizes.

Authors:  Nicholas Hatzirodos; Helen F Irving-Rodgers; Katja Hummitzsch; Margaret L Harland; Stephanie E Morris; Raymond J Rodgers
Journal:  BMC Genomics       Date:  2014-01-14       Impact factor: 3.969

9.  C-terminal kinesin motor KIFC1 participates in facilitating proper cell division of human seminoma.

Authors:  Yu-Xi Xiao; Hao-Qing Shen; Zhen-Yu She; Li Sheng; Qian-Qian Chen; Yu-Lan Chu; Fu-Qing Tan; Wan-Xi Yang
Journal:  Oncotarget       Date:  2017-05-24

Review 10.  The Role of MicroRNAs in Mammalian Fertility: From Gametogenesis to Embryo Implantation.

Authors:  Dessie Salilew-Wondim; Samuel Gebremedhn; Michael Hoelker; Ernst Tholen; Tsige Hailay; Dawit Tesfaye
Journal:  Int J Mol Sci       Date:  2020-01-16       Impact factor: 5.923

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