期刊论文详细信息
Journal of Ovarian Research
The transcriptome of corona radiata cells from individual MІІ oocytes that after ICSI developed to embryos selected for transfer: PCOS women compared to healthy women
Anne Lis Mikkelsen2  Thomas Høst2  Kirstine Belling3  Kho do Nguyen4  David Westergaard3  Si Brask Sonne1  Marie Louise Wissing2 
[1] Institute of Biology, University of Copenhagen, Copenhagen, 2100, Denmark;Department of Gynecology-Obstetrics, Holbaek Fertility Clinic, Holbaek Hospital, Smedelundsgade 60, Holbaek, 4300, Denmark;Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kemitorvet building 208, Lyngby, 2800, Denmark;DTU Multi Assay Core, Technical University of Denmark DTU, Lyngby, 2800, Denmark
关键词: Oocyte quality;    PCOS;    Gene expression;    Transcriptome;    Corona radiata cells;   
Others  :  1151648
DOI  :  10.1186/s13048-014-0110-6
 received in 2014-06-08, accepted in 2014-11-11,  发布年份 2014
PDF
【 摘 要 】

Background

Corona radiata cells (CRCs) refer to the fraction of cumulus cells just adjacent to the oocyte. The CRCs are closely connected to the oocyte throughout maturation and their gene expression profiles might reflect oocyte quality. Polycystic ovary syndrome (PCOS) is a common cause of infertility. It is controversial whether PCOS associate with diminished oocyte quality. The purpose of this study was to compare individual human CRC samples between PCOS patients and controls.

Methods

All patients were stimulated by the long gonadotropin-releasing hormone (GnRH) agonist protocol. The CRC samples originated from individual oocytes developing into embryos selected for transfer. CRCs were isolated in a two-step denudation procedure, separating outer cumulus cells from the inner CRCs. Extracted RNA was amplified and transcriptome profiling was performed with Human Agilent® arrays.

Results

The transcriptomes of CRCs showed no individual genes with significant differential expression between PCOS and controls, but gene set enrichment analysis identified several cell cycle- and DNA replication pathways overexpressed in PCOS CRCs (FDR < 0.05). Five of the genes contributing to the up-regulated cell cycle pathways in the PCOS CRCs were selected for qRT-PCR validation in ten PCOS and ten control CRC samples. qRT-PCR confirmed significant up-regulation in PCOS CRCs of cell cycle progression genes HIST1H4C (FC = 2.7), UBE2C (FC = 2.6) and cell cycle related transcription factor E2F4 (FC = 2.5).

Conclusion

The overexpression of cell cycle-related genes and cell cycle pathways in PCOS CRCs could indicate a disturbed or delayed final maturation and differentiation of the CRCs in response to the human chorionic gonadotropin (hCG) surge. However, this had no effect on the in vitro development of the corresponding embryos. Future studies are needed to clarify whether the up-regulated cell cycle pathways in PCOS CRCs have any clinical implications.

【 授权许可】

   
2014 Wissing et al.; licensee BioMed Central.

【 预 览 】
附件列表
Files Size Format View
20150406091606715.pdf 541KB PDF download
Figure 1. 53KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group: Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome Fertil Steril 2004, 81:19-25.
  • [2]Desforges-Bullet V, Gallo C, Lefebvre C, Pigny P, Dewailly D, Catteau-Jonard S: Increased anti-Müllerian hormone and decreased FSH levels in follicular fluid obtained in women with polycystic ovaries at the time of follicle puncture for in vitro fertilization. Fertil Steril 2010, 94:198-204.
  • [3]Stubbs SA, Stark J, Dilworth SM, Franks S, Hardy K: Abnormal preantral folliculogenesis in polycystic ovaries is associated with increased granulosa cell division. J Clin Endocrinol Metab 2007, 92:4418-4426.
  • [4]Wood JR, Dumesic DA, Abbott DH, Strauss JF: Molecular abnormalities in oocytes from women with polycystic ovary syndrome revealed by microarray analysis. J Clin Endocrinol Metab 2007, 92:705-713.
  • [5]Haouzi D, Assou S, Monzo C, Vincens C, Dechaud H, Hamamah S: Altered gene expression profile in cumulus cells of mature MII oocytes from patients with polycystic ovary syndrome. Hum Reprod 2012, 27:3523-3530.
  • [6]Kenigsberg S, Bentov Y, Chalifa-Caspi V, Potashnik G, Ofir R, Birk OS: Gene expression microarray profiles of cumulus cells in lean and overweight-obese polycystic ovary syndrome patients. Mol Hum Reprod 2009, 15:89-103.
  • [7]Polzikov M, Yakovenko S, Voznesenskaya J, Troshina M, Zatsepina O: Overexpression of ribosomal RNA in cumulus cells of patients with polycystic ovary syndrome. J Assist Reprod Genet 2012, 29:1141-1145.
  • [8]Heijnen EMEW, Eijkemans MJC, Hughes EG, Laven JSE, Macklon NS, Fauser BCJM: A meta-analysis of outcomes of conventional IVF in women with polycystic ovary syndrome. Hum Reprod Update 2006, 12:13-21.
  • [9]Albertini DF, Combelles CM, Benecchi E, Carabatsos MJ: Cellular basis for paracrine regulation of ovarian follicle development. Reproduction (Cambridge, England) 2001, 121:647-653.
  • [10]Vermeulen A, Verdonck L, Kaufman JM: A critical evaluation of simple methods for the estimation of free testosterone in serum. J Clin Endocrinol Metab 1999, 84:3666-3672.
  • [11]Alpha Scientists in Reproductive Medicine and ESHRE Special Interest Group of Embryology: The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting Hum Reprod 2011, 26:1270-1283.
  • [12]Gardner DK, Schoolcraft WB: Culture and transfer of human blastocysts. Curr Opin Obstet Gynecol 1999, 11:307-311.
  • [13]Teixeira Filho FL, Baracat EC, Lee TH, Suh CS, Matsui M, Chang RJ, Shimasaki S, Erickson GF: Aberrant expression of growth differentiation factor-9 in oocytes of women with polycystic ovary syndrome. J Clin Endocrinol Metab 2002, 87:1337-1344.
  • [14]Kauffmann A, Gentleman R, Huber W: ArrayQualityMetrics--a bioconductor package for quality assessment of microarray data. Bioinformatics (Oxford, England) 2009, 25:415-416.
  • [15]Bolstad BM, Irizarry RA, Astrand M, Speed TP: A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics (Oxford, England) 2003, 19:185-193.
  • [16]Smyth GK: Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol 2004, 3:Article3.
  • [17]Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J: Bioconductor: open software development for computational biology and bioinformatics. Genome Biol 2004, 5:R80. BioMed Central Full Text
  • [18]Smyth GK, Speed T: Normalization of cDNA microarray data. Methods (San Diego, Calif) 2003, 31:265-273.
  • [19]Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, Mesirov JP: Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A 2005, 102:15545-15550.
  • [20]Mootha VK, Lindgren CM, Eriksson K-F, Subramanian A, Sihag S, Lehar J, Puigserver P, Carlsson E, Ridderstråle M, Laurila E, Houstis N, Daly MJ, Patterson N, Mesirov JP, Golub TR, Tamayo P, Spiegelman B, Lander ES, Hirschhorn JN, Altshuler D, Groop LC: PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet 2003, 34:267-273.
  • [21]Kanehisa M, Goto S, Sato Y, Furumichi M, Tanabe M: KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res 2012, 40(Database issue):D109-D114.
  • [22]Matthews L, Gopinath G, Gillespie M, Caudy M, Croft D, de Bono B, Garapati P, Hemish J, Hermjakob H, Jassal B, Kanapin A, Lewis S, Mahajan S, May B, Schmidt E, Vastrik I, Wu G, Birney E, Stein L, D’Eustachio P: Reactome knowledgebase of human biological pathways and processes. Nucleic Acids Res 2009, 37(Database issue):D619-D622.
  • [23]Kruschke JK: Bayesian estimation supersedes the t test. J Exp Psychol Gen 2013, 142:573-603.
  • [24]Anderson RA, Sciorio R, Kinnell H, Bayne RAL, Thong KJ, de Sousa PA, Pickering S: Cumulus gene expression as a predictor of human oocyte fertilisation, embryo development and competence to establish a pregnancy. Reproduction (Cambridge, England) 2009, 138:629-637.
  • [25]Adriaenssens T, Segers I, Wathlet S, Smitz J: The cumulus cell gene expression profile of oocytes with different nuclear maturity and potential for blastocyst formation. J Assist Reprod Genet 2011, 28:31-40.
  • [26]Feuerstein P, Puard V, Chevalier C, Teusan R, Cadoret V, Guerif F, Houlgatte R, Royere D: Genomic assessment of human cumulus cell marker genes as predictors of oocyte developmental competence: impact of various experimental factors. PLoS One 2012, 7:e40449.
  • [27]Wathlet S, Adriaenssens T, Segers I, Verheyen G, Janssens R, Coucke W, Devroey P, Smitz J: New candidate genes to predict pregnancy outcome in single embryo transfer cycles when using cumulus cell gene expression. Fertil Steril 2012, 98(2):432-439.
  • [28]Ekart J, McNatty K, Hutton J, Pitman J: Ranking and selection of MII oocytes in human ICSI cycles using gene expression levels from associated cumulus cells. Hum Reprod 2013, 28:2930-2942.
  • [29]Wathlet S, Adriaenssens T, Segers I, Verheyen G, Van Landuyt L, Coucke W, Devroey P, Smitz J: Pregnancy prediction in single embryo transfer cycles after ICSI using QPCR: validation in oocytes from the same cohort. PLoS One 2013, 8:e54226.
  • [30]May-Panloup P, Ferré-L’Hôtellier V, Morinière C, Marcaillou C, Lemerle S, Malinge M-C, Coutolleau A, Lucas N, Reynier P, Descamps P, Guardiola P: Molecular characterization of corona radiata cells from patients with diminished ovarian reserve using microarray and microfluidic-based gene expression profiling. Hum Reprod 2012, 27:829-843.
  • [31]Fragouli E, Wells D, Iager AE, Kayisli UA, Patrizio P: Alteration of gene expression in human cumulus cells as a potential indicator of oocyte aneuploidy. Hum Reprod 2012, 27:2559-2568.
  • [32]Ouandaogo ZG, Haouzi D, Assou S, Dechaud H, Kadoch IJ, De Vos J, Hamamah S: Human cumulus cells molecular signature in relation to oocyte nuclear maturity stage. PLoS One 2011, 6:e27179.
  • [33]Van Montfoort APA, Dumoulin JCM, Kester ADM, Evers JLH: Early cleavage is a valuable addition to existing embryo selection parameters: a study using single embryo transfers. Hum Reprod 2004, 19:2103-2108.
  • [34]Gebhardt KM, Feil DK, Dunning KR, Lane M, Russell DL: Human cumulus cell gene expression as a biomarker of pregnancy outcome after single embryo transfer. Fertil Steril 2011, 96:47-52. e2
  • [35]Assou S, Haouzi D, De Vos J, Hamamah S: Human cumulus cells as biomarkers for embryo and pregnancy outcomes. Mol Hum Reprod 2010, 16:531-538.
  • [36]Iager AE, Kocabas AM, Otu HH, Ruppel P, Langerveld A, Schnarr P, Suarez M, Jarrett JC, Conaghan J, Rosa GJM, Fernández E, Rawlins RG, Cibelli JB, Crosby JA: Identification of a novel gene set in human cumulus cells predictive of an oocyte’s pregnancy potential. Fertil Steril 2013, 99:745-752. e6
  • [37]Wissing ML, Kristensen SG, Andersen CY, Mikkelsen AL, Høst T, Borup R, Grøndahl ML: Identification of new ovulation-related genes in humans by comparing the transcriptome of granulosa cells before and after ovulation triggering in the same controlled ovarian stimulation cycle. Hum Reprod 2014, 29:997-1010.
  • [38]Agca C, Yakan A, Agca Y: Estrus synchronization and ovarian hyper-stimulation treatments have negligible effects on cumulus oocyte complex gene expression whereas induction of ovulation causes major expression changes. Mol Reprod Dev 2012, 80:102-117.
  • [39]Devjak R, Fon Tacer K, Juvan P, Virant Klun I, Rozman D, Vrtačnik Bokal E: Cumulus cells gene expression profiling in terms of oocyte maturity in controlled ovarian hyperstimulation using GnRH agonist or GnRH antagonist. PLoS One 2012, 7:e47106.
  • [40]Harshman SW, Young NL, Parthun MR, Freitas MA: H1 histones: current perspectives and challenges. Nucleic Acids Res 2013, 41:9593-9609.
  • [41]Plumb M, Marashi F, Green L, Zimmerman A, Zimmerman S, Stein J, Stein G: Cell cycle regulation of human histone H1 mRNA. Proc Natl Acad Sci U S A 1984, 81:434-438.
  • [42]Hao Z, Zhang H, Cowell J: Ubiquitin-conjugating enzyme UBE2C: molecular biology, role in tumorigenesis, and potential as a biomarker. Tumour Biol 2012, 33:723-730.
  • [43]Lee B-K, Bhinge AA, Iyer VR: Wide-ranging functions of E2F4 in transcriptional activation and repression revealed by genome-wide analysis. Nucleic Acids Res 2011, 39:3558-3573.
  文献评价指标  
  下载次数:15次 浏览次数:4次