Literature DB >> 17948250

Differential expression of genes for transcription factors in theca and granulosa cells following selection of a dominant follicle in cattle.

A E Zielak1, M J Canty, N Forde, P M Coussens, G W Smith, P Lonergan, J J Ireland, A C O Evans.   

Abstract

Transcription factors inhibit or assist RNA polymerases in the initiation and maintenance of transcription; however, the cell specific expression and roles of transcription factors within bovine ovarian follicles during development are unknown. The aim of present study was to determine if the expression of transcription factors in theca and granulosa cells differ between the dominant and the largest subordinate follicles at different stages of the follicle wave. We used a bovine cDNA microarray to screen granulosa and theca cells from dominant and subordinate follicles for differential expression of genes coding for transcription factors. Expression was confirmed using reverse transcription polymerase chain reaction and differences in mRNA abundance further examined at Emergence, Selection and Dominance stages of the follicle wave. We have identified five genes encoding for transcription factors that have not been previously described in developing follicles with greater mRNA abundance in subordinate compared to dominant follicles. The genes (and their putative roles) are CEBP-beta (responsible for luteinization), SRF (cell survival), FKHRL1 (stimulates apoptosis), NCOR1 (modulation of the actions of the oestradiol receptor) and Midnolin (control of development via regulation of mRNA transport in cells). (c) 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17948250     DOI: 10.1002/mrd.20819

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


  9 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.  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

3.  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

Review 4.  Identification of Candidate Predictors of Lupus Flare.

Authors:  Mary K Crow; Mikhail Olferiev; Kyriakos A Kirou
Journal:  Trans Am Clin Climatol Assoc       Date:  2015

5.  Identification of the ubiquitin-like domain of midnolin as a new glucokinase interaction partner.

Authors:  Anke Hofmeister-Brix; Katrin Kollmann; Sara Langer; Julia Schultz; Sigurd Lenzen; Simone Baltrusch
Journal:  J Biol Chem       Date:  2013-11-01       Impact factor: 5.157

6.  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

7.  mTOR controls ovarian follicle growth by regulating granulosa cell proliferation.

Authors:  James Yu; Aylin Yaba; Corinna Kasiman; Travis Thomson; Joshua Johnson
Journal:  PLoS One       Date:  2011-07-05       Impact factor: 3.240

8.  Midnolin is a novel regulator of parkin expression and is associated with Parkinson's Disease.

Authors:  Yutaro Obara; Toru Imai; Hidenori Sato; Yuji Takeda; Takeo Kato; Kuniaki Ishii
Journal:  Sci Rep       Date:  2017-07-19       Impact factor: 4.379

9.  Midnolin Regulates Liver Cancer Cell Growth In Vitro and In Vivo.

Authors:  Soo-Mi Kweon; Gayeoun Kim; Yunseong Jeong; Wendong Huang; Ju-Seog Lee; Keane K Y Lai
Journal:  Cancers (Basel)       Date:  2022-03-10       Impact factor: 6.639

  9 in total

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