Cetylpyridinium chloride exposure contributes to apoptosis and follicular atresia in mouse ovaries by inducing DNA damage in granulosa cells
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE271381 | GEO | 2026/07/01
REPOSITORIES: GEO
Similar Datasets
Project description:Folliculogenesis corresponds to the development of follicles leading to either ovulation or degeneration (a process called atresia). Even if atresia involves an apoptosis process, this mechanism is not well understood. The objective of this experiment was : 1) to analyse gene expression in pig granulosa cells of ovarian follicles during atresia using transcriptome analysis with a 9 024 cDNAs microarray, 2) the identification of gene networks involved in pig ovarian follicular atresia. Granulosa cells were isolated from atretic follicles (small, medium or large). Gene expression was analysed by hybridization of nylon cDNA microarrays. The images were quantified using Bzscan software and the data were managed with BASE software. Statistical analysis was performed using R software. Keywords: pig ovary, folliculogenesis, atresia, gene expression, cDNA microarray, bio-analysis
2008-12-31 | GSE7635 | GEO
Project description:Background: Follicular growth and maturation in semi-synchronously spawning fish involve numerous cell signaling cascades and different molecular cascades are activated or inhibited during specific stages of oocyte development. The objectives of the current study were to identify molecular pathways and temporal gene expression patterns throughout a complete breeding cycle in female wild LMB to characterize the molecular sequence of events underlying follicle and ovary development. Methods: Microarray analysis was performed on eight morphologically distinct stages, from primary stages of oocyte growth to ovulation and atresia. Ovarian tissue histology, plasma vitellogenin, and sex steroids (E2 and T) were also measured to correlate molecular signaling cascades to higher levels of biological organization. Results: Global expression patterns revealed dramatic differences between early and late stages of ovarian follicle progression, with over 200 and 500 genes being differentially expressed during both ovulation and atresia respectively (p < 0.01). Time course analysis for all stages leading to ovulation and atresia identified increased expression of GABAA receptor subunits and peroxisome proliferator-activated receptor gamma during ovulation. Gene set enrichment analysis (GSEA) revealed that early stages of oocyte growth involved increases in pathways of natural killer cell and mast cell activation, as well as gap junction regulation. GSEA revealed that arachidonic acid metabolism was significantly up-regulated while CD2, fibronectin, and neuropeptides Y receptor signaling cascades were down-regulated at ovulation. Expression targets for LH signaling were decreased during vitellogenesis but increased at ovulation. GSEA revealed decreases in actin cytoskeleton regulation and receptor mediated signaling pathways involving TGF? and ephrin receptor regulation at atresia. Conclusions: This study offers new insight into the molecular pathways involved in vitellogenesis, ovulation and atresia in LMB and provides new hypotheses about the cellular pathways involved in oocyte growth and maturation. 31 microarrays on 8 unique stages of ovary development; developmental profile time course, development of LMB ovary
2011-12-20 | E-GEOD-32930 | biostudies-arrayexpress
Project description:Ovarian follicular atresia is a natural physiological process, but its mechanism is not fully understood. In this study, a quantitative proteomic and phosphoproteomic of granulosa cell (GC) in the healthy (H), slightly atretic (SA), and atretic follicles (A) of porcine were performed by TMT labeling, enrichment of phosphopeptides and LC-MS/MS analysis. Altogether, 6,201 proteins were quantified, and 4,723 phosphorylation sites of 1,760 proteins were quantified. There are 24 (11 up, 13 down) and 50 (29 up, 21 down) proteins with FC>5 in H/SA and H/A, respectively. In addition, there are 20 (H/SA, up) and 39 (H/A, up) phosphosites with FC>7, which could serve as potential biomarkers to distinguish different quality categories of follicles. The results of western blotting and immunofluorescence indicated the reliability of the proteomic analysis. Further analysis of the differential expressed proteins (DEPs) and phosphorylated proteins (DEPPs) revealed some key proteins (e.g. MIF, beta catenin, integrin β2), key phosphosites (e.g. S76 of Caspase6, S22 and S636 of Lamin A/C), pathways (e.g. apoptosis, regulation of actin cytoskeleton pathway), transcription factors (e.g. STAT5A, FOXO1, BCLAF1), and kinases (e.g. PBK, CDK5, CDK12, AKT3) that involved in atresia process. Our proteomic and phosphoproteomic profiling and functional research comprehensively analyze the dynamic changes of protein expression and phosphorylation during follicular atresia, and gave a new explanation for the regulation of this process.
2021-09-09 | PXD020899 | Pride
Project description:Folliculogenesis corresponds to the development of follicles leading to either ovulation or degeneration (a process called atresia). Even if atresia involves an apoptosis process, this mechanism is not well understood. The objective of this experiment was : 1) to analyse gene expression in pig granulosa cells of ovarian follicles during atresia using transcriptome analysis with a 9 024 cDNAs microarray, 2) the identification of gene networks involved in pig ovarian follicular atresia. Granulosa cells were isolated from atretic follicles (small, medium or large). Gene expression was analysed by hybridization of nylon cDNA microarrays. The images were quantified using Bzscan software and the data were managed with BASE software. Statistical analysis was performed using R software. Keywords: pig ovary, folliculogenesis, atresia, gene expression, cDNA microarray, bio-analysis Calibrated follicles were isolated from porcine ovaries after ovariectomy (24h ou 96h after the end of progestagen treatment: Regumate 18 days, 20 mg/days). The follicular status was determined by histological criteria using Feulgen coloration (Monget et al. 1993, Besnard et al. 1996). Healthy follicle is characterized by frequent mitosis and pyknosis absence in granulosa cells. Presence of frequent pyknotic bodies in granulosa cells and no mitosis were allocated to atretic cells. Two cross-classified biological factors of pig ovarian follicles are considered : 1) the stage of development of the follicular growth : small (1-2 mm of diameter), medium (3 mm) and large (>5 mm) follicles; 2) the follicular status: healthy (S1) vs beginning (A2) or advanced (A3) atresia. Gene expression was analysed by hybridization of nylon cDNA microarrays (GPL3729). After hybridisation the data analysis using BASE software and statistical analysis was performed to identify regulated genes. For each of three follicle class and three follicle status combination 4 biological replicates were considered. Total 36 membranes were first hybridized with a vector oligonucleotide labeled (T7 probe 5'-taatacgactcactataggga-3') with gamma33P ATP at 42°C during 12h to determine the quality of the spotting process. After being washed, the arrays were exposed 6 or 24 hours to radioisotopic-sensitive imaging plates (BAS-2025, Fujifilm, Raytest France S.A.R.L., Courbevoie, France). The imaging plates were scanned thereafter with a phosphor imaging system at a 25 õm resolution (BAS-5000, Fujifilm, Raytest France S.A.R.L., Courbevoie, France). Data were acquired with help of a microarray image processing software - AGScan (Cathelin, 2006, http://mulcyber.toulouse.inra.fr/projects/agscan/). Fixed circle segmentation, i.e. a grid process with a fixed spot diameter was applied. The hybridization images were quantified by the extraction of the intensity for each spot. Arrays images and data were stored using BASE software (Saal LH, Troein C, Vallon-Christersson J, Gruvberger S, Borg A, and Peterson C. BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data. Genome Biol 3: SOFTWARE0003, 2002) adapted by Sigenae (http://www.sigenae.org) for analysis and storage of radioactitive microarray data
2010-06-24 | E-GEOD-7635 | biostudies-arrayexpress
Project description:Cetylpyridinium chloride exposure contributes to apoptosis and follicular atresia in mouse ovaries by inducing DNA damage in granulosa cells
| PRJNA1131276 | ENA
Project description: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.
2024-05-30 | PXD052738 |
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.
2024-06-05 | GSE268651 | GEO
Project description:Background: Follicular growth and maturation in semi-synchronously spawning fish involve numerous cell signaling cascades and different molecular cascades are activated or inhibited during specific stages of oocyte development. The objectives of the current study were to identify molecular pathways and temporal gene expression patterns throughout a complete breeding cycle in female wild LMB to characterize the molecular sequence of events underlying follicle and ovary development. Methods: Microarray analysis was performed on eight morphologically distinct stages, from primary stages of oocyte growth to ovulation and atresia. Ovarian tissue histology, plasma vitellogenin, and sex steroids (E2 and T) were also measured to correlate molecular signaling cascades to higher levels of biological organization. Results: Global expression patterns revealed dramatic differences between early and late stages of ovarian follicle progression, with over 200 and 500 genes being differentially expressed during both ovulation and atresia respectively (p < 0.01). Time course analysis for all stages leading to ovulation and atresia identified increased expression of GABAA receptor subunits and peroxisome proliferator-activated receptor gamma during ovulation. Gene set enrichment analysis (GSEA) revealed that early stages of oocyte growth involved increases in pathways of natural killer cell and mast cell activation, as well as gap junction regulation. GSEA revealed that arachidonic acid metabolism was significantly up-regulated while CD2, fibronectin, and neuropeptides Y receptor signaling cascades were down-regulated at ovulation. Expression targets for LH signaling were decreased during vitellogenesis but increased at ovulation. GSEA revealed decreases in actin cytoskeleton regulation and receptor mediated signaling pathways involving TGFβ and ephrin receptor regulation at atresia. Conclusions: This study offers new insight into the molecular pathways involved in vitellogenesis, ovulation and atresia in LMB and provides new hypotheses about the cellular pathways involved in oocyte growth and maturation.
2011-12-20 | GSE32930 | GEO
Project description:Background In mammalian ovaries, the majorities of developing follicles (up to 95% in human) undergo atresia. A considerable part of follicle atresia is initiated by granulosa cell (GCs) apoptosis. Our previous work identified hypoxia-inducible factors 1 (HIF1) pathway induced by follicle-stimulating hormone as a protective factor against atresia, yet the molecular mechanism of follicles’ “norm” death, and how HIF1 pathway protect follicles has not been fully delineated. Methods We employed a single-follicle, multi-dimensional profiling strategy based on serial sectioning, to dissect the signaling logic underlying physiological follicle fate decisions. Results HIF1 and forkhead box protein O1 (FOXO1) pathway show complementary activation patterns in GCs of healthy versus atretic mouse follicles. In growing mouse follicles, HIF1 pathway activity is associated with increased reactive oxygen species (ROS)-related signals, likely through enhanced granulosa-cell metabolic activity. Under the physiological conditions, ROS-related signals appear to help maintain HIF1 pathway activity in mouse granulosa cells during follicle growth, and are not by themselves associated with follicle atresia. HIF1 pathway appears to promote Bcl-XL expression, which may counterbalance FOXO1-associated atretic pressure. Conclusion In mouse ovaries, follicular fate appears to be associated with the dynamic balance between the pro-survival HIF1/Bcl-XL axis and the pro-apoptotic FOXO1/Bim axis.
2026-06-11 | GSE335191 | GEO
Project description:Background In mammalian ovaries, the majorities of developing follicles (up to 95% in human) undergo atresia. A considerable part of follicle atresia is initiated by granulosa cell (GCs) apoptosis. Our previous work identified hypoxia-inducible factors 1 (HIF1) pathway induced by follicle-stimulating hormone as a protective factor against atresia, yet the molecular mechanism of follicles’ “norm” death, and how HIF1 pathway protect follicles has not been fully delineated. Methods We employed a single-follicle, multi-dimensional profiling strategy based on serial sectioning, to dissect the signaling logic underlying physiological follicle fate decisions. Results HIF1 and forkhead box protein O1 (FOXO1) pathway show complementary activation patterns in GCs of healthy versus atretic mouse follicles. In growing mouse follicles, HIF1 pathway activity is associated with increased reactive oxygen species (ROS)-related signals, likely through enhanced granulosa-cell metabolic activity. Under the physiological conditions, ROS-related signals appear to help maintain HIF1 pathway activity in mouse granulosa cells during follicle growth, and are not by themselves associated with follicle atresia. HIF1 pathway appears to promote Bcl-XL expression, which may counterbalance FOXO1-associated atretic pressure. Conclusion In mouse ovaries, follicular fate appears to be associated with the dynamic balance between the pro-survival HIF1/Bcl-XL axis and the pro-apoptotic FOXO1/Bim axis.
2026-06-11 | GSE304305 | GEO