Literature DB >> 25253738

Transcriptome profiling of granulosa and theca cells during dominant follicle development in the horse.

F Xavier Donadeu1, Somayyeh Fahiminiya2, Cristina L Esteves3, Javad Nadaf3, Katarzyna Miedzinska3, Alan S McNeilly4, David Waddington3, Nadine Gérard5.   

Abstract

Several aspects of equine ovarian physiology are unique among domestic species. Moreover, follicular growth patterns are very similar between horses and humans. This study aimed to characterize, for the first time, global gene expression profiles associated with growth and preovulatory (PO) maturation of equine dominant follicles. Granulosa cells (GCs) and theca interna cells (TCs) were harvested from follicles (n = 5) at different stages of an ovulatory wave in mares corresponding to early dominance (ED; diameter ≥22 mm), late dominance (LD; ≥33 mm) and PO stage (34 h after administration of crude equine gonadotropins at LD stage), and separately analyzed on a horse gene expression microarray, followed by validation using quantitative PCR and immunoblotting/immunohistochemistry. Numbers of differentially expressed transcripts (DETs; ≥2-fold; P < 0.05) during the ED-LD and LD-PO transitions were 546 and 2419 in GCs and 5 and 582 in TCs. The most prominent change in GCs was the down-regulation of transcripts associated with cell division during both ED-LD and LD-PO. In addition, DET sets during LD-PO in GCs were enriched for genes involved in cell communication/adhesion, antioxidation/detoxification, immunity/inflammation, and cholesterol biosynthesis. In contrast, the largest change in TCs during the LD-PO transition was an up-regulation of genes involved in immune activation, with other DET sets mapping to GPCR/cAMP signaling, lipid/amino acid metabolism, and cell proliferation/survival and differentiation. In conclusion, distinct expression profiles were identified between growing and PO follicles and, particularly, between GCs and TCs within each stage. Several DETs were identified that have not been associated with follicle development in other species.
© 2014 by the Society for the Study of Reproduction, Inc.

Entities:  

Keywords:  dominant follicle; equine; follicle development; gene expression; microarray

Mesh:

Year:  2014        PMID: 25253738     DOI: 10.1095/biolreprod.114.118943

Source DB:  PubMed          Journal:  Biol Reprod        ISSN: 0006-3363            Impact factor:   4.285


  7 in total

1.  Gene expression profiling of bovine ovarian follicular and luteal cells provides insight into cellular identities and functions.

Authors:  Sarah M Romereim; Adam F Summers; William E Pohlmeier; Pan Zhang; Xiaoying Hou; Heather A Talbott; Robert A Cushman; Jennifer R Wood; John S Davis; Andrea S Cupp
Journal:  Mol Cell Endocrinol       Date:  2016-09-28       Impact factor: 4.102

2.  Transcriptomic Diversification of Granulosa Cells during Follicular Development in Chicken.

Authors:  Guoqiang Zhu; Chao Fang; Jing Li; Chunheng Mo; Yajun Wang; Juan Li
Journal:  Sci Rep       Date:  2019-04-02       Impact factor: 4.379

3.  mRNA and miRNA Transcriptome Profiling of Granulosa and Theca Layers From Geese Ovarian Follicles Reveals the Crucial Pathways and Interaction Networks for Regulation of Follicle Selection.

Authors:  Qin Li; Shenqiang Hu; Yushi Wang; Yan Deng; Shuang Yang; Jiwei Hu; Liang Li; Jiwen Wang
Journal:  Front Genet       Date:  2019-10-23       Impact factor: 4.599

4.  A single-cell atlas of the cycling murine ovary.

Authors:  Mary E Morris; Marie-Charlotte Meinsohn; Maeva Chauvin; Hatice D Saatcioglu; Aki Kashiwagi; Natalie A Sicher; Ngoc Nguyen; Selena Yuan; Rhian Stavely; Minsuk Hyun; Patricia K Donahoe; Bernardo L Sabatini; David Pépin
Journal:  Elife       Date:  2022-10-07       Impact factor: 8.713

5.  Cells responding to hedgehog signaling contribute to the theca of ovarian follicles.

Authors:  Robert G Cowan; Susan M Quirk
Journal:  Reproduction       Date:  2021-04       Impact factor: 3.906

6.  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

7.  MALDI-TOF Mass Spectrometry Revealed Significant Lipid Variations in Follicular Fluid and Somatic Follicular Cells but Not in Enclosed Oocytes between the Large Dominant and Small Subordinate Follicles in Bovine Ovary.

Authors:  Priscila Silvana Bertevello; Ana-Paula Teixeira-Gomes; Valerie Labas; Luiz Cordeiro; Marie-Claire Blache; Pascal Papillier; Galina Singina; Rustem Uzbekov; Virginie Maillard; Svetlana Uzbekova
Journal:  Int J Mol Sci       Date:  2020-09-11       Impact factor: 5.923

  7 in total

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