CART_Bos_Ovarian_GCs_Proteomics
Ontology highlight
ABSTRACT:
ORGANISM(S): Bos Taurus
SUBMITTER: 
Pengfei Li
PROVIDER: PXD073961 | iProX | Mon Feb 02 00:00:00 GMT 2026
REPOSITORIES: iProX
Similar Datasets
Project description:The molecular mechanisms that regulate the pivotal transformation processes observed in the follicular wall following the pre-ovulatory LH-surge, are still not established, particularly for cells of the thecal layer. To elucidate thecal and granulosa cell type-specific biological functions and signaling pathways, large dominant bovine follicles were collected before and 21 hrs after an exogenous GnRH induced LH surge. Because LH receptor density varies within the granulosa cell populations, antral granulosa (aGC; those aspirated by follicular puncture) and membrane associated granulosa (mGC; those scraped from the follicular wall) were compared to thecal cell expression profiles determined by mRNA microarrays. Thecal cell gene expression was less affected in the peri-ovulatory follicle when compared to granulosa cells, as evidenced by only 2% versus 25% of the ~11,000 genes expressed changing in response to the LH surge, respectively. The majority of the 203 LH-regulated thecal genes were also LH regulated in granulosa cells, leaving a total of 58 genes as LH-regulated theca cell specific genes. Most of the 58 genes (i.e., 74%) thecal specific genes including several known thecal markers (CYP17A1, NR5A1) were downregulated, while most genes identified are new to theca. Many of the newly identified upregulated thecal genes (e.g., PTX3, RND3, PPP4R4) were also upregulated in granulosa. Minimal expression differences were observed between aGC and mGC, however, transcripts encoding extracellular proteins (NID2) and matrix modulators (ADAMTS1, SASH1) predominated these differences. We also identified large numbers of unknown LH-regulated granulosa cell genes and discuss their putative roles in ovarian function. The single dominant ovarian follicle was collected from each cow before the LH surge or 22 hours after GnRH (used to induce LH surge). RNA was extracted from three independent cells within each follicle and there were hybridized on Affymetrix microarrays.
2013-05-17 | E-GEOD-46996 | biostudies-arrayexpress
Project description:Background Correct achievement of early ovarian folliculogenesis is a crucial phase for further ovarian function. This process is closely regulated by cell-cell interactions and coordinated expression of genes from oocyte and granulosa cells. But, despite of the large number of studies, little is known about the precise gene expression patterns driving early folliculogenesis. The experimental limitations concerned the very small size of these follicles and the mixture of the different developmental stages within an ovary that make the study of isolated follicular components much more difficult. The recently developed laser capture microdissection (LCM) technique coupled with microarrays experiments is promising in addressing the molecular specificity of each follicular compartment. Nevertheless, the isolation of unique cells or group of cells is still challenging to maintain RNA quality during this process and to obtain sufficient amount of RNA. In this study, we described a method allowing the analysis of oocyte and granulosa cells gene expression during the first stages of sheep early folliculogenesis. Results First we developed a new fixation protocol using a frizzed 70% ethanol fixation solution that ensures correct single cell capture and RNA integrity during microdissection time. After LCM capture of the compartments and follicular stages, RNA extraction and amplification, the expression of 6 oocyte-specific genes (SOHLH2, MAEL, MATER, VASA, GDF9, BMP15) and 3 granulosa cell-specific genes (KITLG, GATA4, AMH) confirmed the purity of the samples and documented their ovine expression profiles. Then, using bovine Affymetrix chip, we identified for the first time, a global gene expression for each follicular compartment during early developmental stages. Particularly the granulosa cell data set is quite unique. 1050 granulosa cell specific transcripts compared to oocyte and 759 oocyte specific transcripts were detected. The analysis of the expression of 2 genes (SIRT7, FST) confirmed this specificity of expression. Finally, the integration of the data stated the 3 main physiological events involved in early folliculogenesis and provided descriptive elements that confirmed the relevance and the potential of the LCM-derived RNAs. Conclusions This method should contribute through an additional genome wide expression profiling to give insights on molecular mechanisms involved in stage transitions and cell type interplays. The 2 ovine follicular compartments (i.e. granulosa cells (G) and oocytes (O) were captured using LCM technology for each early stage (primordial (Pd), primary (Pm), secondary (Sec) follicles. The RNA of each group was extracted using Picopure RNA Isolation kit (Arcturus) and subjected to 2 round T7 amplification (RiboAmp®HS PLUS kit, Arcturus). Ovine microarray experiments were performed using the Affymetrix Bovine Expression Array. First the quality of the cross-species hybridizations was checked by comparison of hybridization data of ovine fetal ovary RNA with bovine fetal ovary ones, generated with the Affymetrix standard protocol (protocole 1). Then, three biotin-labeling protocols were compared from ovine fetal ovary total RNA: protocol 1; protocol 2 (Biotin-labeled cRNAs were synthesized following Affymetrix protocol using the second-round cDNAs from RiboAmp®HS kit as templates); protocol 3 (Arcturus biotin turboTM labeling kit from aRNA after the 2 round amplification using RiboAmp®HS kit). Last , one LCM-derived aRNA sample of each group was labeled using the Arcturus biotin turboTM labeling kit (protocol 3) and hybridized to Affymetrix Bovine Expression arrays. Images were interpreted using Microarray Suite version 5.0 (MAS 5.0) in GCOS with scaling (100) and without normalization.
2011-07-01 | E-GEOD-25652 | biostudies-arrayexpress
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).
2017-04-10 | PXD004892 | Pride
Project description:Excessive androgen production is a hallmark of human and bovine ovarian disorders, and our lab has identified a naturally-occurring bovine model with excess follicular fluid androstenedione (A4) without a proportional estrogen increase. Granulosa cell populations from both the control, Low A4 follicles and the abnormal, High A4 follicles were isolated. Total RNA was extracted from those granulosa cells and submitted to the University of Nebraska Medical Center Microarray Core Facility for transcriptome quantification using Affymetrix Bovine GeneChip Gene 1.0 ST Arrays. The orignal Affymetrix .CEL files and the normalized linear expression data are included in this submission.
2019-04-30 | GSE97017 | GEO
Project description:The molecular mechanisms that regulate the pivotal transformation processes observed in the follicular wall following the pre-ovulatory LH-surge, are still not established, particularly for cells of the thecal layer. To elucidate thecal and granulosa cell type-specific biological functions and signaling pathways, large dominant bovine follicles were collected before and 21 hrs after an exogenous GnRH induced LH surge. Because LH receptor density varies within the granulosa cell populations, antral granulosa (aGC; those aspirated by follicular puncture) and membrane associated granulosa (mGC; those scraped from the follicular wall) were compared to thecal cell expression profiles determined by mRNA microarrays. Thecal cell gene expression was less affected in the peri-ovulatory follicle when compared to granulosa cells, as evidenced by only 2% versus 25% of the ~11,000 genes expressed changing in response to the LH surge, respectively. The majority of the 203 LH-regulated thecal genes were also LH regulated in granulosa cells, leaving a total of 58 genes as LH-regulated theca cell specific genes. Most of the 58 genes (i.e., 74%) thecal specific genes including several known thecal markers (CYP17A1, NR5A1) were downregulated, while most genes identified are new to theca. Many of the newly identified upregulated thecal genes (e.g., PTX3, RND3, PPP4R4) were also upregulated in granulosa. Minimal expression differences were observed between aGC and mGC, however, transcripts encoding extracellular proteins (NID2) and matrix modulators (ADAMTS1, SASH1) predominated these differences. We also identified large numbers of unknown LH-regulated granulosa cell genes and discuss their putative roles in ovarian function.
2013-05-17 | GSE46996 | GEO
Project description:To reveal the role of NCOA7 in cellular senescence, we performed the CUT&TAG assay using the H3K27ac antibody to map acetylation in granulosa cells from control and POI patients. We conducted the DNA sequencing of libraries from CUT&TAG assay using the H3K27ac antibody in human primary granulosa cells.
2023-12-25 | GSE250222 | GEO
Project description:Background: The outbreak of coronavirus disease 2019 (COVID-19) poses a considerable health threat to humanity, with potential implications for the ovarian microenvironment remaining uncertain. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Conclusions: By integrating untargeted metabolomic and lipidomic features, we identified biomarkers indicative of oocyte competency influenced by COVID-19.
2025-05-07 | PXD058234 | Pride