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      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

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          Abstract

          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.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13048-014-0110-6) contains supplementary material, which is available to authorized users.

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          Most cited references32

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          A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

          When running experiments that involve multiple high density oligonucleotide arrays, it is important to remove sources of variation between arrays of non-biological origin. Normalization is a process for reducing this variation. It is common to see non-linear relations between arrays and the standard normalization provided by Affymetrix does not perform well in these situations. We present three methods of performing normalization at the probe intensity level. These methods are called complete data methods because they make use of data from all arrays in an experiment to form the normalizing relation. These algorithms are compared to two methods that make use of a baseline array: a one number scaling based algorithm and a method that uses a non-linear normalizing relation by comparing the variability and bias of an expression measure. Two publicly available datasets are used to carry out the comparisons. The simplest and quickest complete data method is found to perform favorably. Software implementing all three of the complete data normalization methods is available as part of the R package Affy, which is a part of the Bioconductor project http://www.bioconductor.org. Additional figures may be found at http://www.stat.berkeley.edu/~bolstad/normalize/index.html
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            The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting.

            Many variations in oocyte and embryo grading make inter-laboratory comparisons extremely difficult. This paper reports the proceedings of an international consensus meeting on oocyte and embryo morphology assessment. Background presentations about current practice were given. The expert panel developed a set of consensus points to define the minimum criteria for oocyte and embryo morphology assessment. It is expected that the definition of common terminology and standardization of laboratory practice related to embryo morphology assessment will result in more effective comparisons of treatment outcomes. This document is intended to be referenced as a global consensus to allow standardized reporting of the minimum data set required for the accurate description of embryo development.
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              Bayesian estimation supersedes the t test.

              Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their difference, and the normality of the data. The method handles outliers. The decision rule can accept the null value (unlike traditional t tests) when certainty in the estimate is high (unlike Bayesian model comparison using Bayes factors). The method also yields precise estimates of statistical power for various research goals. The software and programs are free and run on Macintosh, Windows, and Linux platforms. PsycINFO Database Record (c) 2013 APA, all rights reserved.
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                Author and article information

                Contributors
                mlwi@regionsjaelland.dk
                ssonne@bio.ku.dk
                David@harsk.dk
                khodo@cbs.dtu.dk
                belling@cbs.dtu.dk
                tht@regionsjaelland.dk
                aleg@regionsjaelland.dk
                Journal
                J Ovarian Res
                J Ovarian Res
                Journal of Ovarian Research
                BioMed Central (London )
                1757-2215
                29 November 2014
                29 November 2014
                2014
                : 7
                : 1
                : 110
                Affiliations
                [ ]Department of Gynecology-Obstetrics, Holbaek Fertility Clinic, Holbaek Hospital, Smedelundsgade 60, 4300 Holbaek, Denmark
                [ ]Institute of Biology, University of Copenhagen, 2100 Copenhagen, Denmark
                [ ]Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kemitorvet building 208, 2800 Lyngby, Denmark
                [ ]DTU Multi Assay Core, Technical University of Denmark DTU, 2800 Lyngby, Denmark
                Article
                110
                10.1186/s13048-014-0110-6
                4302704
                25432544
                b02b02ba-bd36-40a7-992a-37005d05ef5f
                © Wissing et al.; licensee BioMed Central. 2014

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 8 June 2014
                : 11 November 2014
                Categories
                Research
                Custom metadata
                © The Author(s) 2014

                Obstetrics & Gynecology
                corona radiata cells,transcriptome,gene expression,pcos,oocyte quality
                Obstetrics & Gynecology
                corona radiata cells, transcriptome, gene expression, pcos, oocyte quality

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