scholarly journals Integrated analyses of miRNA-mRNA expression profiles of ovaries reveal the crucial interaction networks that regulate the prolificacy of goats in the follicular phase

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yufang Liu ◽  
Zuyang Zhou ◽  
Xiaoyun He ◽  
Lin Tao ◽  
Yanting Jiang ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Signaling Pathway ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Ovarian Follicle ◽  
Follicular Development ◽  
Follicular Phase ◽  
Luciferase Reporter ◽  
Integrated Analysis ◽  
Ppi Network

Abstract Background Litter size is an important index of mammalian prolificacy and is determined by the ovulation rate. The ovary is a crucial organ for mammalian reproduction and is associated with follicular development, maturation and ovulation. However, prolificacy is influenced by multiple factors, and its molecular regulation in the follicular phase remains unclear. Methods Ten female goats with no significant differences in age and weight were randomly selected and divided into either the high-yielding group (n = 5, HF) or the low-yielding group (n = 5, LF). Ovarian tissues were collected from goats in the follicular phase and used to construct mRNA and miRNA sequencing libraries to analyze transcriptomic variation between high- and low-yield Yunshang black goats. Furthermore, integrated analysis of the differentially expressed (DE) miRNA-mRNA pairs was performed based on their correlation. The STRING database was used to construct a PPI network of the DEGs. RT–qPCR was used to validate the results of the predicted miRNA-mRNA pairs. Luciferase analysis and CCK-8 assay were used to detect the function of the miRNA-mRNA pairs and the proliferation of goat granulosa cells (GCs). Results A total of 43,779 known transcripts, 23,067 novel transcripts, 424 known miRNAs and 656 novel miRNAs were identified by RNA-seq in the ovaries from both groups. Through correlation analysis of the miRNA and mRNA expression profiles, 263 negatively correlated miRNA-mRNA pairs were identified in the LF vs. HF comparison. Annotation analysis of the DE miRNA-mRNA pairs identified targets related to biological processes such as “estrogen receptor binding (GO:0030331)”, “oogenesis (GO:0048477)”, “ovulation cycle process (GO:0022602)” and “ovarian follicle development (GO:0001541)”. Subsequently, five KEGG pathways (oocyte meiosis, progesterone-mediated oocyte maturation, GnRH signaling pathway, Notch signaling pathway and TGF-β signaling pathway) were identified in the interaction network related to follicular development, and a PPI network was also constructed. In the network, we found that CDK12, FAM91A1, PGS1, SERTM1, SPAG5, SYNE1, TMEM14A, WNT4, and CAMK2G were the key nodes, all of which were targets of the DE miRNAs. The PPI analysis showed that there was a clear interaction among the CAMK2G, SERTM1, TMEM14A, CDK12, SYNE1 and WNT4 genes. In addition, dual luciferase reporter and CCK-8 assays confirmed that miR-1271-3p suppressed the proliferation of GCs by inhibiting the expression of TXLNA. Conclusions These results increase the understanding of the molecular mechanisms underlying goat prolificacy. These results also provide a basis for studying interactions between genes and miRNAs, as well as the functions of the pathways in ovarian tissues involved in goat prolificacy in the follicular phase.

Microarray-Based Gene Expression Analysis Identifies Potential Diagnostic and Prognostic Biomarkers for Waldenström Macroglobulinemia

2018 ◽  
Vol 140 (2) ◽  
pp. 87-96
Author(s):  
Haitao Xu ◽  
Fusheng Yao
Keyword(s):  
Gene Expression ◽  
B Cell ◽  
Signaling Pathway ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Mitogen Activated Protein Kinase ◽  
Ppi Network ◽  
Waldenström Macroglobulinemia ◽  
Waldenstrom Macroglobulinemia

Waldenström macroglobulinemia (WM), also known as lymphoplasmacytic lymphoma, is rare but a clinicopathologically distinct B-cell malignancy. This study assessed differentially expressed genes (DEGs) to identify potential WM biomarkers and uncover the underlying the molecular mechanisms of WM progression using gene expression profiles from the Gene Expression Omnibus database. DEGs were identified using the LIMMA package and their potential functions were then analyzed by using the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses and the protein-protein interaction (PPI) network analysis by using the Search Tool for the Retrieval of Interacting Genes/Proteins database. Data showed that among 1,756 DEGs, 926 were upregulated and 830 were downregulated by comparing WM BM CD19+ with normal PB CD19+ B cell samples, whereas 241 DEGs (95 upregulated and 146 downregulated) were identified by comparing WM BM CD138+ with normal BM CD138+ plasma cell samples. The DEGs were enriched in different GO terms and pathways, including the apoptotic process, cell cycle arrest, immune response, cell adhesion, mitogen-activated protein kinase signaling pathway, toll-like receptor signaling pathway, and the gonadotropin-releasing hormone signaling pathway. Hub nodes in the PPI network included CDK1, JUN, CREBBP, EP300, CAD, CDK2, and MAPK14. Bioinformatics analysis of the GSE9656 dataset identified 7 hub genes that might play an important role in WM development and progression. Some of the candidate genes and pathways may serve as promising therapeutic targets for WM.

scholarly journals Elucidating the Molecular Mechanism of Ischemic Stroke Using Integrated Analysis of miRNA, mRNA, and lncRNA Expression Profiles

2021 ◽  
Vol 15 ◽  
Author(s):  
Yaxuan Sun ◽  
Jing Wang ◽  
Bin Han ◽  
Kun Meng ◽  
Yan Han ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Expression Profile ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Support Vector ◽  
Integrated Analysis ◽  
Ppi Network ◽  
Control Groups ◽  
Lncrna Expression ◽  
Svm Model

Objective: This study aimed to investigate the possible molecular mechanisms associated with ischemic stroke through the construction of a lncRNA-miRNA-mRNA network. miRNA expression profile in GSE55937, mRNA and lncRNA expression profiles in GSE122709, and mRNA expression profile in GSE146882 were downloaded from the NCBI GEO database. After the identification of the differentially expressed miRNA, lncRNA, and mRNA using GSE55937 and GSE122709 in ischemic stroke vs. control groups, a protein-protein interaction (PPI) network was constructed. The lncRNA-miRNA, lncRNA-mRNA, and miRNA-mRNA pairs were predicted, and a lncRNA-miRNA-mRNA network was constructed. Additionally, the gene-drug interactions were predicted. Characteristic genes were used to construct a support vector machine (SVM) model and verified using quantitative reverse transcription polymerase chain reaction. In total 38 miRNAs, 115 lncRNAs, and 990 mRNAs were identified between ischemic stroke and control groups. A PPI network with 371 nodes and 2306 interaction relationships was constructed. The constructed lncRNA-miRNA-mRNA network contained 7 mRNAs, 14 lncRNAs, such as SND1-IT1, NAPA-AS1, LINC01001, LUCAT1, and ASAP1-IT2, and 8 miRNAs, such as miR-93-3p and miR-24-3p. The drug action analysis of the seven differential mRNAs included in the lncRNA-miRNA-mRNA network showed that four genes (GPR17, ADORA1, OPRM1 and LPAR3) were predicted as molecular targets of drugs. The area under the curve of the constructed SVM model was 0.886. The verification results of the relative expression of RNA by qRT-PCR were consistent with the results of bioinformatics analysis. LPAR3, ADORA1, GPR17, and OPRM1 may serve as therapeutic targets of ischemic stroke. lncRNA-miRNA-mRNA regulatory axis such as SND1-IT1/NAPA-AS1/LINC01001-miR-24-3p-LPAR3/ADORA1 and LUCAT1/ASAP1-IT2-miR-93-3p-GPR17 may play important roles in the progression of ischemic stroke.

scholarly journals A combined microRNA and transcriptome analysis illuminates the resistance response of rice against brown planthopper

2020 ◽  
Author(s):  
Jiaoyan Tan ◽  
Yan Wu ◽  
Jianping Guo ◽  
Huimin Li ◽  
Lili Zhu ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Transcriptome Analysis ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Expression Profiles ◽  
Brown Planthopper ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Resistance Response

Abstract Background : The brown planthopper (BPH, Nilaparvata lugens Stål) is a kind of phloem-feeding pest that adversely affects rice yield. Recently, the BPH-resistance gene, BPH6 , was cloned and applied in rice breeding to effectively control BPH. However, the molecular mechanisms underlying BPH6 are poorly understood. Results: Here, an integrated miRNA and mRNA expression profiling analysis was performed on BPH6 -transgenic (BPH6G) and Nipponbare (wild type, WT) plants after BPH infestation, and a total of 217 differentially expressed miRNAs (DEMs) and 7,874 differentially expressed mRNAs (DEGs) were identified. 29 miRNAs, including members of miR160, miR166 and miR169 family were opposite expressed during early or late feeding stages between the two varieties, whilst 9 miRNAs were specifically expressed in BPH6G plants, suggesting involvement of these miRNAs in BPH6 -mediated resistance to BPH. In the transcriptome analysis, 949 DEGs were opposite expressed during early or late feeding stages of the two genotypes, which were enriched in metabolic processes, cellular development, cell wall organization, cellular component movement and hormone transport, and certain primary and secondary metabolite synthesis. 24 genes were further selected as candidates for BPH resistance. Integrated analysis of the DEMs and DEGs showed that 34 miRNAs corresponding to 42 target genes were candidate miRNA-mRNA pairs for BPH resistance, 18 pairs were verified by qRT-PCR, and two pairs were confirmed by in vivo analysis. Conclusions: For the first time, we reported integrated small RNA and transcriptome sequencing to illustrate resistance mechanisms against BPH in rice. Our results provide a valuable resource to ascertain changes in BPH-induced miRNA and mRNA expression profiles and enable to comprehend plant-insect interactions and find a way for efficient insect control.

scholarly journals Integrated Analysis of miRNA and mRNA Expression Profiles in Spleen of Specific Pathogen-Free Chicken Infected with Avian Reticuloendotheliosis Virus Strain SNV

2019 ◽  
Vol 20 (5) ◽  
pp. 1041 ◽  
Author(s):  
Shuo Gao ◽  
Hao Jiang ◽  
Jie Sun ◽  
Youxiang Diao ◽  
Yi Tang ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
High Dose ◽  
Specific Pathogen Free ◽  
Reticuloendotheliosis Virus ◽  
Specific Pathogen

The Reticuloendotheliosis virus (REV) primarily causes avian severe immunosuppression, in addition to other symptoms, which include avian dwarfing syndrome and chronic tumors in lymphoid and other tissue. To date, REV’s molecular mechanisms leading to immunosuppression have not been fully elucidated. In the current study, we aimed to elucidate the role of microRNAs (miRNA) in regulating gene expression during REV infections. Therefore, we used a high-dose spleen necrosis virus (SNV) model of REV to inoculate one-day-old specific pathogen-free (SPF) chickens, thereby inducing congenital infections. We analyzed miRNA and mRNA expression profiles using Next Generation Sequencing (NGS) in a total of 19 spleen samples that were collected at 7, 14, and 21 days post infection (dpi). The results showed that 63 differentially expressed miRNAs (DEmiRNAs) (30 known miRNAs and 33 novel miRNAs) and 482 differentially expressed target genes (DETGs) were identified. Integration analysis identified 886 known miRNA–mRNA and 580 novel miRNA–mRNA interaction pairs, which involved miRNAs that were inversely correlated with the above DETGs. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that the DETGs were considerably enriched in the immune-relevant pathways category, such as immune system, cell growth and death, signaling molecules and interaction, signal transduction, etc. We further verified selected immune-relevant miRNA and their DETGs while using quantitative RT-PCR (qRT-PCR). Overall, our data revealed valuable immune-related miRNA–mRNA interaction information that occurred during REV infections, thereby broadening our understanding of the REV-induced immunosuppression.

scholarly journals Integrated Transcriptome Analysis of microRNA and mRNA in Mouse Skin Derived Precursors (SKPs) and SKP Derived Fibroblast (SFBs) by RNA-Seq

2019 ◽  
Vol 20 (1) ◽  
pp. 49-60 ◽  
Author(s):  
Rongying Zhou ◽  
Yujie Mao ◽  
Lidan Xiong ◽  
Li Li
Keyword(s):  
Mrna Expression ◽  
Signaling Pathway ◽  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Gene List ◽  
Mouse Skin ◽  
Cytokine Receptor ◽  
Receptor Interaction ◽  
Integrated Analysis

Background: Skin-derived precursors (SKPs) display the characteristics of self-renewal and multilineage differentiation. Objective: The study aimed to explore the molecular mechanisms of mouse SKPs differentiation into SKP-derived fibroblasts (SFBs). Methods: We compared the microRNA (miRNA) profile in mouse SKPs and SFBs by RNA sequencing. Real-time quantitative reverse transcription PCR (qRT-PCR) was performed to validate the miRNA expression. The integrated analysis of miRNA and mRNA expression data was performed to explore the potential crosstalk of miRNA-mRNA in SKP differentiation. Results: 207 differentially expressed miRNAs and 835 miRNA target genes in the gene list of integrated mRNA expression profiling were identified. Gene Ontology (GO) enrichment analysis revealed that cell differentiation and cell proliferation process were significantly enriched. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed the target genes were significantly most enriched in the cytokine-cytokine receptor interaction, cancer pathways and axon guidance signaling pathway. The most upregulated and downregulated target genes were involved in the Wnt, Notch, cytokine- cytokine receptor interaction, TGF-β, p53 and apoptotic signaling pathway. The miRNAmRNA regulatory networks and 507 miRNA-mRNA pairs were constructed. Seven miRNAs (miR- 486-3p, miR-504-5p, miR-149-3p, miR-31-5p, miR-484, miR-328-5p and miR-22-5p) and their target genes Wnt4, Dlx2, Sema4f, Kit, Kitl, Inpp5d, Igfbp3, Prdm16, Sfn, Irf6 and Clu were identified as miRNA-mRNA crosstalk pairs. Conclusion: These genes and signaling pathways might control SKPs proliferation and SKPs differentiation into SFBs during the process of SKPs differentiation, which might promote the application of SKPs in the clinical treatment of skin-related diseases by regulating SKPs proliferation and SKPs differentiation.

scholarly journals A combined microRNA and transcriptome analysis illuminates the resistance response of rice against brown planthopper

2019 ◽  
Author(s):  
Jiaoyan Tan ◽  
Yan Wu ◽  
Jianping Guo ◽  
Huimin Li ◽  
Lili Zhu ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Transcriptome Analysis ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Expression Profiles ◽  
Brown Planthopper ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Resistance Response

Abstract Background: The brown planthopper (BPH, Nilaparvata lugens Stål) is a kind of phloem-feeding pest that adversely affects rice yield. Recently, the BPH-resistance gene, BPH6, was cloned and applied in rice breeding to effectively control BPH. However, the molecular mechanisms underlying BPH6 are poorly understood. Results: Here, an integrated miRNA and mRNA expression profiling analysis was performed on BPH6-transgenic (BPH6G) and Nipponbare (wild type, WT) plants after BPH infestation, and a total of 217 differentially expressed miRNAs (DEMs) and 7,874 differentially expressed mRNAs (DEGs) were identified. 29 miRNAs, including members of miR160, miR166 and miR169 family were opposite expressed during early or late feeding stages between the two varieties, whilst 9 miRNAs were specifically expressed in BPH6G plants, suggesting involvement of these miRNAs in BPH6-mediated resistance to BPH. In the transcriptome analysis, 949 DEGs were opposite expressed during early or late feeding stages of the two genotypes, which were enriched in metabolic processes, cellular development, cell wall organization, cellular component movement and hormone transport, and certain primary and secondary metabolite synthesis. 24 genes were further selected as candidates for BPH resistance. Integrated analysis of the DEMs and DEGs showed that 34 miRNAs corresponding to 42 target genes were candidate miRNA-mRNA pairs for BPH resistance, 18 pairs were verified by qRT-PCR, and two pairs were confirmed by in vivo analysis. Conclusions: For the first time, we reported integrated small RNA and transcriptome sequencing to illustrate resistance mechanisms against BPH in rice. Our results provide a valuable resource to ascertain changes in BPH-induced miRNA and mRNA expression profiles and enables the analysis of the comprehensive plant-insect interactions required for efficient insect control.

Integrated analysis of non-coding RNA and mRNA expression profiles of 2 pig breeds differing in muscle traits

2017 ◽  
Vol 95 (3) ◽  
pp. 1092 ◽  
Author(s):  
J. Sun ◽  
M. Xie ◽  
Z. Huang ◽  
H. Li ◽  
T. chen ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Expression Profiles ◽  
Integrated Analysis ◽  
Pig Breeds ◽  
Non Coding Rna

scholarly journals Genome-wide transcriptome profiling uncovers differential miRNAs and lncRNAs in ovaries of Hu sheep at different developmental stages

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Samina Shabbir ◽  
Prerona Boruah ◽  
Lingli Xie ◽  
Muhammad Fakhar-e-Alam Kulyar ◽  
Mohsin Nawaz ◽  
...  
Keyword(s):  
Target Genes ◽  
Expression Profiles ◽  
Ovarian Follicle ◽  
Follicular Development ◽  
Differentially Expressed ◽  
Ovary Development ◽  
Estrogen Metabolism ◽  
Genome Wide ◽  
Micro Rnas ◽  
Hu Sheep

AbstractOvary development is an important determinant of the procreative capacity of female animals. Here, we performed genome-wide sequencing of long non-coding RNAs (lncRNAs) and mRNAs on ovaries of 1, 3 and 8 months old Hu sheep to assess their expression profiles and roles in ovarian development. We identified 37,309 lncRNAs, 45,404 messenger RNAs (mRNAs) and 330 novel micro RNAs (miRNAs) from the transcriptomic analysis. Six thousand, seven hundred and sixteen (6716) mRNAs and 1972 lncRNAs were significantly and differentially expressed in ovaries of 1 month and 3 months old Hu sheep (H1 vs H3). These mRNAs and target genes of lncRNAs were primarily enriched in the TGF-β and PI3K-Akt signalling pathways which are closely associated with ovarian follicular development and steroid hormone biosynthesis regulation. We identified MSTRG.162061.1, MSTRG.222844.7, MSTRG.335777.1, MSTRG.334059.16, MSTRG.188947.6 and MSTRG.24344.3 as vital genes in ovary development by regulating CTNNB1, CCNA2, CDK2, CDC20, CDK1 and EGFR expressions. A total of 2903 mRNAs and 636 lncRNAs were differentially expressed in 3 and 8 months old ovaries of Hu sheep (H3 vs H8); and were predominantly enriched in PI3K-Akt, progesterone-mediated oocyte maturation, estrogen metabolism, ovulation from the ovarian follicle and oogenesis pathways. These lncRNAs were also found to regulate FGF7, PRLR, PTK2, AMH and INHBA expressions during follicular development. Our result indicates the identified genes participate in the development of the final stages of follicles and ovary development in Hu sheep.

scholarly journals Circular RNA hsa_circ_0000277 sequesters miR-4766-5p to upregulate LAMA1 and promote esophageal carcinoma progression

2021 ◽  
Vol 12 (7) ◽  
Author(s):  
Peng Li Zhou ◽  
Zhengyang Wu ◽  
Wenguang Zhang ◽  
Miao Xu ◽  
Jianzhuang Ren ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Bioinformatics Analysis ◽  
Epithelial Mesenchymal Transition ◽  
Expression Profiles ◽  
Luciferase Reporter ◽  
Migration And Invasion ◽  
Circular Rnas ◽  
Mesenchymal Transition ◽  
Dismal Prognosis ◽  
Advanced Tumor

AbstractGrowing evidence has indicated that circular RNAs (circRNAs) play a pivotal role as functional RNAs in diverse cancers. However, most circRNAs involved in esophageal squamous cell carcinoma (ESCC) remain undefined, and the underlying molecular mechanisms mediated by circRNAs are largely unclear. Here, we screened human circRNA expression profiles in ESCC tissues and found significantly increased expression of hsa_circ_0000277 (termed circPDE3B) in ESCC tissues and cell lines compared to the normal controls. Moreover, higher circPDE3B expression in patients with ESCC was correlated with advanced tumor-node-metastasis (TNM) stage and dismal prognosis. Functional experiments demonstrated that circPDE3B promoted the tumorigenesis and metastasis of ESCC cells in vitro and in vivo. Mechanistically, bioinformatics analysis, a dual-luciferase reporter assay, and anti-AGO2 RNA immunoprecipitation showed that circPDE3B could act as a competing endogenous RNA (ceRNA) by harboring miR-4766-5p to eliminate the inhibitory effect on the target gene laminin α1 (LAMA1). In addition, LAMA1 was significantly upregulated in ESCC tissues and was positively associated with the aggressive oncogenic phenotype. More importantly, rescue experiments revealed that the oncogenic role of circPDE3B in ESCC is partly dependent on the miR-4766-5p/LAMA1 axis. Furthermore, bioinformatics analysis combined with validation experiments showed that epithelial-mesenchymal transition (EMT) activation was involved in the oncogenic functions of the circPDE3B–miR-4766-5p/LAMA1 axis in ESCC. Taken together, we demonstrate for the first time that the circPDE3B/miR-4766-5p/LAMA1 axis functions as an oncogenic factor in promoting ESCC cell proliferation, migration, and invasion by inducing EMT, implying its potential prognostic and therapeutic significance in ESCC.

scholarly journals DNA methylation mediated RSPO2 to promote follicular development in mammals

2021 ◽  
Vol 12 (7) ◽  
Author(s):  
Xiaofeng Zhou ◽  
Yingting He ◽  
Nian Li ◽  
Guofeng Bai ◽  
Xiangchun Pan ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Wnt Signaling ◽  
Signaling Pathway ◽  
Methylation Level ◽  
Molecular Mechanisms ◽  
Cpg Island ◽  
Wnt Signaling Pathway ◽  
Follicular Development ◽  
Expression Level

AbstractIn female mammals, the proliferation, apoptosis, and estradiol-17β (E2) secretion of granulosa cells (GCs) have come to decide the fate of follicles. DNA methylation and RSPO2 gene of Wnt signaling pathway have been reported to involve in the survival of GCs and follicular development. However, the molecular mechanisms for how DNA methylation regulates the expression of RSPO2 and participates in the follicular development are not clear. In this study, we found that the mRNA and protein levels of RSPO2 significantly increased during follicular development, but the DNA methylation level of RSPO2 promoter decreased gradually. Inhibition of DNA methylation or DNMT1 knockdown could decrease the methylation level of CpG island (CGI) in RSPO2 promoter and upregulate the expression level of RSPO2 in porcine GCs. The hypomethylation of −758/−749 and −563/−553 regions in RSPO2 promoter facilitated the occupancy of transcription factor E2F1 and promoted the transcriptional activity of RSPO2. Moreover, RSPO2 promoted the proliferation of GCs with increasing the expression level of PCNA, CDK1, and CCND1 and promoted the E2 secretion of GCs with increasing the expression level of CYP19A1 and HSD17B1 and inhibited the apoptosis of GCs with decreasing the expression level of Caspase3, cleaved Caspase3, cleaved Caspase8, cleaved Caspase9, cleaved PARP, and BAX. In addition, RSPO2 knockdown promoted the apoptosis of GCs, blocked the development of follicles, and delayed the onset of puberty with decreasing the expression level of Wnt signaling pathway-related genes (LGR4 and CTNNB1) in vivo. Taken together, the hypomethylation of −758/−749 and −563/−553 regions in RSPO2 promoter facilitated the occupancy of E2F1 and enhanced the transcription of RSPO2, which further promoted the proliferation and E2 secretion of GCs, inhibited the apoptosis of GCs, and ultimately ameliorated the development of follicles through Wnt signaling pathway. This study will provide useful information for further exploration on DNA-methylation-mediated RSPO2 pathway during follicular development.

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