Literature DB >> 23740080

Differential gene expression of granulosa cells after ovarian superstimulation in beef cattle.

F C F Dias1, M I R Khan, M A Sirard, G P Adams, J Singh.   

Abstract

Microarray analysis was used to compare the gene expression of granulosa cells from dominant follicles with that of those after superstimulatory treatment. Cows were allocated randomly to two groups (superstimulation and control, n=6/group). A new follicular wave was induced by ablation of follicles ≥5 mm in diameter, and a progesterone-releasing device controlled internal drug release (CIDR) was placed in the vagina. The superstimulation group was given eight doses of 25 mg FSH at 12-h intervals starting from the day of wave emergence (day 0), whereas the control group was not given FSH treatment. Both groups were given prostaglandin F2α twice, 12 h apart, on day 3 and the CIDR was removed at the second injection; 25 mg porcine luteinizing hormone (pLH) was given 24 h after CIDR removal, and cows were ovariectomized 24 h later. Granulosa cells were collected for RNA extraction, amplification, and microarray hybridization. A total of 190 genes were downregulated and 280 genes were upregulated. To validate the microarray results, five genes were selected for real-time PCR (NTS, FOS, THBS1, FN1, and IGF2). Expression of four genes increased significantly in the three different animals tested (NTS, FOS, THBS1, and FN1). The upregulated genes are related to matrix remodeling (i.e. tissue proliferation), disturbance of angiogenesis, apoptosis, and oxidative stress response. We conclude that superstimulation treatment i) results in granulosa cells that lag behind in maturation and differentiation (most of the upregulated genes are markers of the follicular growth stage), ii) activates genes involved with the NFE2L2 oxidative stress response and endoplasmic reticulum stress response, and iii) disturbs angiogenesis.

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Year:  2013        PMID: 23740080     DOI: 10.1530/REP-13-0114

Source DB:  PubMed          Journal:  Reproduction        ISSN: 1470-1626            Impact factor:   3.906


  14 in total

1.  Salivary miR-16, miR-191 and miR-223: intuitive indicators of dominant ovarian follicles in buffaloes.

Authors:  Prashant Singh; Naresh Golla; Pankaj Singh; Vijay Simha Baddela; Subhash Chand; Rubina Kumari Baithalu; Dheer Singh; Suneel Kumar Onteru
Journal:  Mol Genet Genomics       Date:  2017-04-26       Impact factor: 3.291

2.  FOS, a Critical Downstream Mediator of PGR and EGF Signaling Necessary for Ovulatory Prostaglandins in the Human Ovary.

Authors:  Yohan Choi; Katherine L Rosewell; Mats Brännström; James W Akin; Thomas E Curry; Misung Jo
Journal:  J Clin Endocrinol Metab       Date:  2018-11-01       Impact factor: 5.958

3.  Gonadotropin and kisspeptin gene expression, but not GnRH, are impaired in cFOS deficient mice.

Authors:  Changchuan Xie; Carrie R Jonak; Alexander S Kauffman; Djurdjica Coss
Journal:  Mol Cell Endocrinol       Date:  2015-05-06       Impact factor: 4.102

4.  Transcriptome sequencing reveals genetic mechanisms underlying the transition between the laying and brooding phases and gene expression changes associated with divergent reproductive phenotypes in chickens.

Authors:  Xu Shen; Xue Bai; Jin Xu; Min Zhou; Haipin Xu; Qinghua Nie; Xuemei Lu; Xiquan Zhang
Journal:  Mol Biol Rep       Date:  2016-07-07       Impact factor: 2.316

5.  Placental development during early pregnancy in sheep: effects of embryo origin on vascularization.

Authors:  Anna T Grazul-Bilska; Mary Lynn Johnson; Pawel P Borowicz; Jerzy J Bilski; Taylor Cymbaluk; Spencer Norberg; Dale A Redmer; Lawrence P Reynolds
Journal:  Reproduction       Date:  2014-04-08       Impact factor: 3.906

6.  Molecular mechanisms of enhancing porcine granulosa cell proliferation and function by treatment in vitro with anti-inhibin alpha subunit antibody.

Authors:  Liuping Cai; Aidong Sun; Hui Li; Anastasia Tsinkgou; Jianning Yu; Shijia Ying; Zhe Chen; Zhendan Shi
Journal:  Reprod Biol Endocrinol       Date:  2015-04-09       Impact factor: 5.211

7.  Transcriptomic difference in bovine blastocysts following vitrification and slow freezing at morula stage.

Authors:  Alisha Gupta; Jaswant Singh; Isabelle Dufort; Claude Robert; Fernanda Caminha Faustino Dias; Muhammad Anzar
Journal:  PLoS One       Date:  2017-11-02       Impact factor: 3.240

8.  Transcriptome analysis of granulosa cells after conventional vs long FSH-induced superstimulation in cattle.

Authors:  F C F Dias; M I R Khan; M A Sirard; G P Adams; J Singh
Journal:  BMC Genomics       Date:  2018-04-16       Impact factor: 3.969

9.  The bovine cumulus proteome is influenced by maturation condition and maturational competence of the oocyte.

Authors:  J Walter; C Monthoux; C Fortes; J Grossmann; B Roschitzki; T Meili; B Riond; R Hofmann-Lehmann; H Naegeli; U Bleul
Journal:  Sci Rep       Date:  2020-06-18       Impact factor: 4.379

10.  Transcriptome profile of one-month-old lambs' granulosa cells after superstimulation.

Authors:  Yangsheng Wu; Jiapeng Lin; Xiaolin Li; Bing Han; Liqin Wang; Mingjun Liu; Juncheng Huang
Journal:  Asian-Australas J Anim Sci       Date:  2016-05-12       Impact factor: 2.509

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