Literature DB >> 18239043

Opportunities and challenges in applying genomics to the study of oogenesis and folliculogenesis in farm animals.

A Bonnet1, R Dalbiès-Tran, M A Sirard.   

Abstract

Ovarian oogenesis and folliculogenesis are complex and coordinated biological processes which require a series of events that induce morphological and functional changes within the follicle, leading to cell differentiation and oocyte development. In this context, the challenge of the researchers is to describe the dynamics of gene expression in the different compartments and their interactions during the follicular programme. In recent years, high-throughput arrays have become a powerful tool with which to compare the whole population of transcripts in a single experiment. Here, we review the challenges of applying genomics to this model in farm animal species. The first limitation lies in limited the availability of biological material, which makes the study of the follicle compartments (oocyte, granulosa cells and thecal cells) or early embryo much more difficult. The concept of observing all transcripts at once is very attractive but despite progress in sequencing, the genome annotation remains very incomplete in non-model species. Particularly, oogenesis and early embryo development relate to the high proportion of unknown expressed sequence tags. Then, it is important to consider post-transcriptional and translational regulation to understand the role of these genes. Ultimately, these new inferred insights will still have to be validated by functional approaches. In addition to in vitro or ex vivo functional approaches, both 'natural mutant' ewe models and RNA interference represent, at the moment, the best hope for functional genomics. Advances in our understanding of reproductive physiology should be facilitated by gene expression data exchange and translation into a better understanding of the underlying biological phenomena.

Mesh:

Year:  2008        PMID: 18239043     DOI: 10.1530/REP-07-0331

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


  6 in total

1.  Transcriptome profiling of sheep granulosa cells and oocytes during early follicular development obtained by laser capture microdissection.

Authors:  Agnes Bonnet; Claudia Bevilacqua; Francis Benne; Loys Bodin; Corinne Cotinot; Laurence Liaubet; Magali Sancristobal; Julien Sarry; Elena Terenina; Patrice Martin; Gwenola Tosser-Klopp; Beatrice Mandon-Pepin
Journal:  BMC Genomics       Date:  2011-08-18       Impact factor: 3.969

2.  MicroRNA Expression Profile in Bovine Granulosa Cells of Preovulatory Dominant and Subordinate Follicles during the Late Follicular Phase of the Estrous Cycle.

Authors:  Samuel Gebremedhn; Dessie Salilew-Wondim; Ijaz Ahmad; Sudeep Sahadevan; Md Munir Hossain; Michael Hoelker; Franca Rings; Christiane Neuhoff; Ernst Tholen; Christian Looft; Karl Schellander; Dawit Tesfaye
Journal:  PLoS One       Date:  2015-05-19       Impact factor: 3.240

3.  Comprehensive analysis of differentially expressed profiles of mRNA, lncRNA, and miRNA of Yili geese ovary at different egg-laying stages.

Authors:  Xiaoyu Zhao; Yingping Wu; Haiying Li; Jiahui Li; Yingying Yao; Yan Cao; Zhiyong Mei
Journal:  BMC Genomics       Date:  2022-08-19       Impact factor: 4.547

4.  Identification and characterization of miRNAs expressed in the bovine ovary.

Authors:  Md Munir Hossain; Nasser Ghanem; Michael Hoelker; Franca Rings; Chirawath Phatsara; Ernst Tholen; Karl Schellander; Dawit Tesfaye
Journal:  BMC Genomics       Date:  2009-09-18       Impact factor: 3.969

5.  In vivo collection of follicular fluid and granulosa cells from individual follicles of different diameters in cattle by an adapted ovum pick-up system.

Authors:  Eduardo K N Arashiro; Miller P Palhao; Sabine Wohlres-Viana; Luiz G B Siqueira; Luiz S A Camargo; Marc Henry; Joao H M Viana
Journal:  Reprod Biol Endocrinol       Date:  2013-08-02       Impact factor: 5.211

6.  Systematic Analysis of Long Non-Coding RNAs and mRNAs in the Ovaries of Duroc Pigs During Different Follicular Stages Using RNA Sequencing.

Authors:  Yi Liu; Mengxun Li; Xinwen Bo; Tao Li; Lipeng Ma; Tenjiao Zhai; Tao Huang
Journal:  Int J Mol Sci       Date:  2018-06-11       Impact factor: 5.923

  6 in total

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