Dataset Information

Understanding mechanisms of oocyte development by follicular fluid lipidomics.

ABSTRACT: PURPOSE:The present study aimed to provide a non-invasive approach to studying mechanisms responsible for oocyte development. METHODS:To this end, follicular fluid (FF) from 62 patients undergoing in vitro fertilization (IVF) cycles was split into two groups depending on the pregnancy outcome: pregnant (n?=?28) and non-pregnant (n?=?34) groups. Data were acquired by the MALDI-TOF mass spectrometry. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were applied to the data set. A ROC curve, to predict success rate, was constructed, and the lipids were attributed. RESULTS:Six ions were differentially represented in FF of pregnant and non-pregnant patients, with an area under the curve of 0.962. Phosphatidic acid, phosphatidylglycerol, and triacylglycerol were hyper-represented in the pregnant group, while glucosylceramide was hyper-represented in the non-pregnant group. Enriched functions related to these lipids are steroidogenesis, cellular response, signal transduction, cell cycle, and activation of protein kinase C for the pregnant group and apoptosis inhibition for the non-pregnant group. CONCLUSION:Human FF fingerprinting can both improve the understanding concerning mechanisms responsible for oocyte development and its effect on embryo implantation potential and assist in the management of IVF cycles.

SUBMITTER: Montani DA

PROVIDER: S-EPMC6541691 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Understanding mechanisms of oocyte development by follicular fluid lipidomics.

Montani Daniela Antunes DA Braga Daniela Paes de Almeida Ferreira DPAF Borges Edson E Camargo Mariana M Cordeiro Fernanda Bertuccez FB Pilau Eduardo Jorge EJ Gozzo Fábio Cesar FC Fraietta Renato R Lo Turco Edson Guimarães EG

Journal of assisted reproduction and genetics 20190423 5

<h4>Purpose</h4>The present study aimed to provide a non-invasive approach to studying mechanisms responsible for oocyte development.<h4>Methods</h4>To this end, follicular fluid (FF) from 62 patients undergoing in vitro fertilization (IVF) cycles was split into two groups depending on the pregnancy outcome: pregnant (n = 28) and non-pregnant (n = 34) groups. Data were acquired by the MALDI-TOF mass spectrometry. Principal component analysis (PCA) and orthogonal partial least squares discriminan ...[more]

PMID: 31011990

Similar Datasets

Project description:Background: In mammals, female fertility is determined by the outcome of follicular development (ovulation or atresia). Follicular atresia is a complex physiological process that results in the degeneration of oocytes from the ovary. However, the molecular mechanisms of oocyte degeneration and key protein markers of follicular atresia remain unclear. In this study, we explored the complex transcriptional regulatory mechanisms and protein profiles in oocytes and follicular fluid in atretic follicle stages using single-cell RNA sequencing and tandem mass tag proteomics. Results: First, through paired analysis of different follicle development stages, we identified 175 atresia-specific genes and eight candidate oocyte-secreted factors, including PKG1, YTHDF2, and MYC. Meanwhile, we also characterized unique features of the oocyte transcriptional landscape in the atretic follicle stage that displayed cell death-related transcriptional changes and mechanisms, such as autophagy (TBK1 and IRS4), necroptosis (PKR), and apoptosis (MARCKS). Moreover, we identified atresia-specific genes, namely FTH1, TF, and ACSL4, which may participate in regulation of oocyte ferroptosis in atretic follicles through a series of mechanisms including ferritinophagy, ferritin transport, and lipid metabolism. Additionally, we uncovered 333 differentially expressed proteins that may coordinate follicular atresia and revealed key pathways, such as negative regulation of angiogenesis, metabolic pathways, and transcription and mRNA splicing, that lead to oocyte degeneration. Finally, by combining transcriptome and proteomics analyses, we identified two oocyte-secreted biomarkers, PGK1 and ANGPT2, that may be associated with follicular atresia. Conclusions: In conclusion, our work provides a comprehensive characterization of oocyte degeneration in ovine atretic follicles, which provides a basis for establishing an oocyte quality evaluation system and understanding the mechanism of follicular atresia in sheep, as well as an important reference for in vitro production of embryos.

Dataset Information

Understanding mechanisms of oocyte development by follicular fluid lipidomics.

Publications

Understanding mechanisms of oocyte development by follicular fluid lipidomics.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure