Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from human cumulus cells isolated from oocytes at MI and MII stages in polycystic ovary syndrome (PCOS) patients

ABSTRACT: Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder that is characterized by increased circulating androgen levels, anovulatory infertility, and frequently, insulin resistance and hyperinsulinemia.The abnormity of oocyte nuclear maturity is the main reason for anovulatory infertility and pregnancy loss in PCOS patients.The bidirectional exchanges between oocyte and contiguous CCs are important for oocyte competence acquisition, early embryonic development and CC expansion.Gene expression profiles of CCs has been suggested to predict embryo development and pregnancy outcome. We used microarrays to detail the global programme of gene expression of CCs isolated from oocytes at metaphase I (CCMI) and metaphase II (CCMII) stage under controlled ovarian stimulation (COS) cycle in PCOS patients. Cumulus cells were isolated from oocyte at stage metaphase 1(MI)and stage metaphase II (MII) of PCOS patients for RNA extraction and hybridization on Affymetrix microarrays. For microarray analysis, we used three chips for each CC category. That is, CCMI1,CCMI2,CCMI3,CCMII1,CCMII2 and CCMII3.

ORGANISM(S): Homo sapiens

SUBMITTER: Xin Huang

PROVIDER: E-GEOD-40400 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Differences in the transcriptional profiles of human cumulus cells isolated from MI and MII oocytes of patients with polycystic ovary syndrome.

Huang Xin X Hao Cuifang C Shen Xiaofang X Liu Xiaoyan X Shan Yinghua Y Zhang Yuhua Y Chen Lili L

Reproduction (Cambridge, England) 20130521 6

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder in women. The abnormalities of endocrine and intra-ovarian paracrine interactions may change the microenvironment for oocyte development during the folliculogenesis process and reduce the developmental competence of oocytes in PCOS patients who are suffering from anovulatory infertility and pregnancy loss. In this microenvironment, the cross talk between an oocyte and the surrounding cumulus cells (CCs) is critical for ...[more]

PMID: 23603633

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Project description:The identification of genes and deduced pathways from the mature human oocyte can help us better understand oogenesis, folliculogenesis, fertilization, and embryonic development. Human metaphase II oocytes were used within minutes after removal from the ovary, and its transcriptome was compared with a reference sample consisting of a mixture of total RNA from 10 different normal human tissues not including the ovary. RNA amplification was performed by using a unique protocol. Affymetrix Human Genome U133 Plus 2.0 GeneChip arrays were used for hybridizations. Compared with reference samples, there were 5,331 transcripts significantly up-regulated and 7,074 transcripts significantly down-regulated in the oocyte. Of the oocyte up-regulated probe sets, 1,430 have unknown function. A core group of 66 transcripts was identified by intersecting significantly up-regulated genes of the human oocyte with those from the mouse oocyte and from human and mouse embryonic stem cells. GeneChip array results were validated using RT-PCR in a selected set of oocyte-specific genes. Within the up-regulated probe sets, the top overrepresented categories were related to RNA and protein metabolism, followed by DNA metabolism and chromatin modification. This report provides a comprehensive expression baseline of genes expressed in in vivo matured human oocytes. Further understanding of the biological role of these genes may expand our knowledge on meiotic cell cycle, fertilization, chromatin remodeling, lineage commitment, pluripotency, tissue regeneration, and morphogenesis. Experiment Overall Design: We generated a database of the human oocyte transcriptome by comparing the transcripts in the oocyte with the reference samples, which contain mRNA from several somatic tissues. Experiment Overall Design: Human oocytes were obtained from three patients undergoing an assisted reproductive treatment (ART) at the Unit of Reproductive Medicine of Clinica Las Condes, Santiago, Chile. It is important to emphasize that the routine in vitro fertilization protocol at Clinica Las Condes calls for fertilizing only those oocytes that will be transferred into the uterus of the patient. Therefore, there is always a surplus of oocytes. We then had the opportunity to use specific criteria to select donors as follows: (i) <35 years old, (ii) reproductively healthy with regular ovulatory cycles, (iii) male factor as the only cause of infertility, and (iv) considerable number of developing follicles that assured spared oocytes. The experimental protocol was reviewed and approved by a local independent Ethics Review Board. All donors signed informed consent. At the time this manuscript was submitted, all three donors had already conceived; two of them got pregnant during the ART cycle in which our samples were collected, and the third one got pregnant after a spontaneous cycle with artificial insemination using donated sperm. Ovarian stimulation, oocyte retrieval, and cell lysis were performed as described in Supporting Materials and Methods, which is published as supporting information on the PNAS web site. Experiment Overall Design: Three groups of 10 oocytes each were used. Reference RNA (100 Î¼g) was prepared by mixing 10 Î¼g of total RNA from each of 10 different normal human tissues, including skeletal muscle, kidney, lung, colon, liver, spleen, breast, brain, heart, and stomach (Ambion). Experiment Overall Design: Transcriptional profile of each sample was probed by using Affymetrix Human Genome U133 Plus 2.0 GeneChips.

Dataset Information

Expression data from human cumulus cells isolated from oocytes at MI and MII stages in polycystic ovary syndrome (PCOS) patients

Publications

Differences in the transcriptional profiles of human cumulus cells isolated from MI and MII oocytes of patients with polycystic ovary syndrome.

Similar Datasets

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