Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Small RNA sequencing of human preovulatory cumulus and mural granulosa cells

ABSTRACT: The granulosa cells in the mammalian ovarian follicle respond to gonadotropin signalling and are involved in the processes of folliculogenesis and oocyte maturation. Studies on gene expression and regulation in human granulosa cells are of interest due to their potential for estimating the oocyte viability and IVF success. However, the post-transcriptional gene expression studies on miRNA level in the human ovary have been scarce. The current study determined the miRNA profile by deep sequencing of the two intrafollicular somatic cell types: mural and cumulus granulosa cells isolated from women undergoing controlled ovarian stimulation and in vitro fertilization. Paired cumulus and mural granulosa samples were analysed from 3 women participating in IVF procedure. Libraries of all 6 samples were sequenced twice, generating 2 technical replicates for each sample. Differential gene expression study was performed on the pooled results of technical replicates.

ORGANISM(S): Homo sapiens

SUBMITTER: Agne Velthut-Meikas

PROVIDER: E-GEOD-46489 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Research resource: small RNA-seq of human granulosa cells reveals miRNAs in FSHR and aromatase genes.

Velthut-Meikas Agne A Simm Jaak J Tuuri Timo T Tapanainen Juha S JS Metsis Madis M Salumets Andres A

Molecular endocrinology (Baltimore, Md.) 20130509 7

The granulosa cells in the mammalian ovarian follicle respond to gonadotropin signaling and are involved in the processes of folliculogenesis and oocyte maturation. Studies on gene expression and regulation in human granulosa cells are of interest due to their potential for estimating the oocyte viability and in vitro fertilization success. However, the posttranscriptional gene expression studies on micro-RNA (miRNA) level in the human ovary have been scarce. The current study determined the miR ...[more]

PMID: 23660593

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Project description:In mammals, the capacity of the female germ cell, the oocyte, to develop into embryo is acquired throughout meiotic maturation. Immature oocyte cannot be fertilized while mature oocyte is apt to accept spermatozoa and to develop an embryo. In a follicle, the oocyte is surrounded by mural granulosa cells (GC) and is physically and metabolically coupled with specialized granulosa cumulus cells (CC) which play an important role in oocyte maturation and fertilization. Factors expressing in GC and CC during maturation may reflect the oocyte quality, i.e. its capacity to be fertilized and assure early embryo development. However, the modifications of the content and the amount of peptide/proteins in the oocyte and the surrounding CC during oocyte maturation are mostly unknown and so there is not an accurate way of evaluating/monitoring how different in vitro maturation (IVM) protocols being in use in assisted reproduction technologies, can affect the process. In this context, Intact Cell MALDI-TOF Mass Spectrometry (ICM-MS) was applied to bovine follicular cells (bovine single oocytes, cumulus cells and granulosa cells) in order to characterize proteomic changes that occur in the follicle during female gamete development. In order to characterize finely endogenous molecular species observed on ICM-MS profiles and to identify markers of interest with their post-translational modifications, we carried out top-down proteomic on the different follicular cells from oocyte, oocyte-cumulus complexes, cumulus cells and granulosa cells protein extracts. Prior to top-down MS using a dual linear ion trap Fourier Transform Mass Spectrometer LTQ Orbitrap Velos, depending on the amount of available biological material, we employed three analytic strategies as a direct infusion, a mono-dimensional liquid chromatography (µLC-1D-MS/MS) and an off-line multi-dimensional liquid chromatography combining four fractionations (based on reverse phase or gel filtration LC) to µLC-MS/MS. Here, we deposited our dataset from µLC-1D-MS/MS (analyses of oocytes, oocyte-cumulus complexes, cumulus cells and granulosa cells protein extracts) and MDLC-MS/MS (analyses of granulosa cells protein extract).

Dataset Information

Small RNA sequencing of human preovulatory cumulus and mural granulosa cells

Publications

Research resource: small RNA-seq of human granulosa cells reveals miRNAs in FSHR and aromatase genes.

Similar Datasets

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