Long non‑coding RNA NEAT1 promotes mouse granulosa cell proliferation and estradiol synthesis by sponging miR‑874‑3p
- Authors:
- Published online on: November 24, 2022 https://doi.org/10.3892/etm.2022.11731
- Article Number: 32
-
Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Follicular atresia is an inevitable degenerative process that occurs at all stages of follicular development in mammals (1,2). Among domesticated animals, sheep and cows, >99% of these follicles undergo atresia (3-5), however the regulatory mechanism of follicular atresia remains largely unclear. Granulosa cells (GCs) are shown to play a key role in the processes of follicular development and atresia (5). GC proliferation and estradiol synthesis is closely associated with follicular atresia (6,7). Thus, elucidating regulatory mechanisms such as follicular GC proliferation and estradiol synthesis is important to decrease the occurrence of these atresia processes.
The growth, differentiation and apoptosis of GCs are modulated by a large number of molecules including non-coding RNAs (ncRNAs) genes (8,9). Among ncRNAs, long ncRNAs (lncRNAs), which are defined as transcripts >200 nucleotides without protein-coding ability, have gained widespread attention in disease diagnosis and treatment (10,11). In the field of reproduction, dysregulation of lncRNAs has been shown to play important roles in ovarian function, follicle development and luteal formation in humans, mice, bovines and pigs (12,13).
LncRNA nuclear-enriched abundant transcript 1 (NEAT1) has been reported to be highly expressed in multiple types of cancer, such as breast, colorectal and thyroid cancer, and plays an oncogenic role in tumorigenesis by regulating cell proliferation, apoptosis, invasion and metastasis (14,15). NEAT1 has been reported to be involved in polycystic ovary syndrome by regulating GC cell proliferation and apoptosis via the microRNA (miR)-381/insulin-like growth factor 1 (IGF1) axis (16). However, its functional roles and regulatory mechanisms in GC remain elusive. Therefore, the present study aimed to investigate the biological effects of NEAT1 on mouse GC proliferation, apoptosis and estradiol synthesis. Additionally, the regulatory mechanisms of NEAT1 in GCs were further explored through a series of experiments.
Materials and methods
Animals and follicles isolation
A total of 10 female C57BL/6j mice (age, 4-5 weeks; weight, 18-25 g) were obtained from the Changchun Institute of Biological Products Co., Ltd., and housed at 21-25˚C, humidity 52-60% and a 12-h light/dark cycle under specific pathogen-free conditions. All of the mice were provided a standard diet and sterile water ad libitum for one week. Animal care and experiments were done in accordance with the ‘Principles for the Utilization and Care of Vertebrate Animals’ of the National Institutes of Health (17).
The behavior and health status of the mice were observed every day, and the mice were weighed every 2 days. The mice were sacrificed by inhalation of CO2 (50% of the chamber volume/min) before dissection for excision of ovarian tissue. Confirmation of mice mortality was verified lack of heartbeat and dilation of pupils. Follicles were isolated from ovarian tissue according to a previous study (18). Follicles were divided into healthy follicles (HFs), early atretic follicles (EAFs) and progressively atretic follicles (PAFs) according to follicle morphological characteristics as previously described by Miller et al (19).
Mouse granulosa cells (mGCs) isolation and culture
Primary mGCs were isolated from follicles and cultured as described previously (20). Dulbecco's Modified Eagle medium/nutrient mixture F-12 (DMEM/F12; MilliporeSigma) was changed every 48 h. The two or three passage mGCs were selected for subsequent experiments. All experiments using laboratory animals were approved by the Animal Ethics Committee of Jilin Academy of Agricultural Sciences (approval no. JNK20210719-2; Changchun, China).
mGCs transfection
A siRNA that directly targeted mouse NEAT1 (si-NEAT1; 5'-TGGTAATGGTGGAGGAAGA-3') and appropriate non-targeting siRNA (si-NC; 5'-GGCUCCGAACGUGUCACGUU-3') were bought from Takara Biotechnology Co., Ltd. In addition, Shanghai GenePharma Co., Ltd. provided miR-874-3p mimics (miR-874-3p; 5'-UGAGCUGUAAUCAGGUCCCGUC-3'), scrambled negative control (miR-NC; 5'-UUGUACUACACAAAAGUACUG-3'), miR-874-3p inhibitor (anti-miR-874-3p; 5'-GACGGGACCUGAUUACAGCUCA-3') as well as its scrambled negative control (anti-miR-NC; 5'-CAGUACUUUUGUGUAGUACAA-3'). mGCs (5x103 cells/well) were cultured in six-well plates until they reached 80% confluence. After 4 h of cell starvation in serum-free medium, mGCs were treated with a mixture containing 100 nM mimics, inhibitors or siRNAs and Lipofectamine® 3000 reagent (Thermo Fisher Scientific, Inc.). After 24 h of transfection at 37˚C, the cells were used for follow-up experiments.
Reverse transcription-quantitative PCR (RT-qPCR)
Total RNA was extracted from mGCs using a TRIzol® reagent (Thermo Fisher Scientific, Inc.) following the manufacturer's instructions. Subsequently, RNA was reverse transcribed into complementary DNA using TaqMan Reverse Transcription reagent (Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. The mRNA expression levels were examined using the Power SYBR® Green PCR Master Mix (Applied Biosystems; Thermo Fisher Scientific, Inc.) under the 7500 Fast Real Time PCR System (Applied Biosystems; Thermo Fisher Scientific, Inc.). The primers used in the present study have been previously reported (21-23) and listed in Table I. The PCR amplification conditions were as follows: Pre-denaturation at 95˚C for 30 sec, denaturation at 95˚C for 10 sec, and annealing and extension at 60˚C for 30 sec. These steps were repeated for 40 cycles. GAPDH and U6 served as endogenous controls for NEAT1/cytochrome P450 family 19 subfamily A member 1 (CYP19A1)/cytochrome P450 family 1 subfamily B member 1 (CYP1B1) and miR-874-3p expression, respectively. The relative expression levels were calculated using the 2-ΔΔCq method (24).
Cell proliferation assay
The CellTiter 96 Aqueous One Solution Cell Proliferation kit (MTS; Promega Corporation) was used to examine cell proliferation. Briefly, at 24 h post-transfection, a total of 5x103 mGCs/well were seeded into 96-well plates and cultured for an additional 24-72 h. At 24, 48 and 72 h, 20 µl MTS was added into each well for an additional 2 h. The absorbance at 490 nm was measured with a spectrophotometric plate reader (Synergy2; BioTek Instruments, Inc.).
Apoptosis detection
Following transfection for 48 h, the apoptosis (early + late phases) of the mGCs was detected using the Apoptosis Detection Kit Annexin V-FITC (Becton, Dickinson and Company) under a flow cytometer (BD Biosciences) as per manufacturer's instructions. The apoptosis ratio was analyzed using the CellQuest 3.0 software (BD Biosciences).
Steroid hormone detection
Transfected cells were grown in serum-free medium for 48 h. The production of 17β-Estradiol (E2) and progesterone (P4) were measured using enzyme-linked immunosorbent assay (ELISA) kits (cat nos. E03E0023 and E03P0200; BlueGene) based on the manufacturer's instructions, respectively. The minimum detectable concentrations were 5 pg/ml for E2 and 0.2 ng/ml for P4.
Isolation of cytoplasmic and nuclear RNA
The Cytoplasmic and Nuclear RNA Purification kit (Norgen Biotek Corp.,) was used to isolate cytoplasmic and nuclear RNA from mGCs following the manufacturer's instruction. The expression of NEAT1 in cytoplasmic and nuclear RNA of mGCs was measured using RT-qPCR as mentioned above.
Luciferase reporter assay
The ENCORI database (https://starbase.sysu.edu.cn/) was used to decode the miR-874-3p-NEAT1 binding interaction. The wild-type sequence NEAT1 (WT-NEAT1) containing a binding target site of miR-874-3p (5'-UGAGCUGUAAUCACCAGGGCAC-3') was synthesized and inserted into a dual-luciferase miRNA target expression vector (pmirGLO; Promega Corporation). In addition, another reporter plasmid was conducted by inserting the mutated target sequence of miR-874-3p (5'-UGAGCUGUAAUCAGGUCCCGUC-3') into a pmirGLO vector to form a negative control plasmid, namely NEAT1-mutant (MUT-NEAT1). Subsequently, both reporter plasmids and miR-874-3p mimics (5'-UGAGCUGUAAUCAGGUCCCGUC-3') or miR-NC mimics (5'-UUGUACUACACAAAAGUACUG-3') were co-transfected into mGCs cells using Lipofectamine® 3000 reagent (Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. Luciferase activity assay was performed at 48 h post-transfection via a Dual Luciferase Reporter Assay System (Promega Corporation) according to the kit specification sheet. The firefly luciferase activity of each sample was normalized to Renilla luciferase activity.
RNA immunoprecipitation (RIP)
The EZ-Magna RIP RNA-binding protein immunoprecipitation kit (cat. no. 17-701; Merck KGaA) was applied to analyze the association between miR-874-3p and NEAT1 in mGCs according to the manufacturer's instructions. Briefly, following washing of the cells in the flasks or plates twice with 10 ml ice-cold PBS, 2.0x107 mGCs were lysed using 100 µl RIP lysis buffer (cat no. CS203176, MilliporeSigma) containing 0.5 µl protease inhibitor cocktail and 0.25 µl RNase inhibitor. Cells were collected by centrifugation at 1,000 x g for 5 min at 4˚C and the supernatant was discarded, then 100 µl RIP lysis buffer was added for mGCs RIP lysis. Magnetic beads (protein A/G; cat no. CS203178; MilliporeSigma) were completely dispersed and re-suspended by pipetting according to the manufacturer's protocol, then 50 µl magnetic bead suspension was transferred to each tube, and 0.5 ml RIP Wash Buffer (cat. no. CS203177; MilliporeSigma) was added to each tube and vortexed briefly. Subsequently, ~5 µg human anti-argonaute-2 (Ago2; cat. no. MABE56; MilliporeSigma) or normal mouse immunoglobulin G (IgG; cat. no. 12-370; MilliporeSigma) as control antibodies was added for 4 h at 4˚C according to the manufacturer's protocol. A total of 100 µl mGCs RIP lysate was centrifuged at 3,000 x g for 10 min at 4˚C. Subsequently, 100 µl of the supernatant was removed and added to each beads-antibody complex in 900 µl RIP Immunoprecipitation Buffer (860 µl RIP Wash Buffer, 35 µl 0.5 M EDTA and 5 µl RNase Inhibitor), and gently rotated using a rotary mixer (cat. no. CC8039-01; As One Shanghai Corporation) for 3 h at 4˚C. Immunoprecipitation tubes were centrifuged at 3,000 x g for 10 min at 4˚C and the supernatant was discarded. The beads were washed six times with 500 µl cold RIP Wash Buffer (cat. no. CS203177; MilliporeSigma). Ago2 or IgG complex (100 µl) isolation from beads was performed using 150 µl proteinase K buffer containing 117 µl RIP Wash Buffer, 15 µl 10% SDS and 18 µl 10 mg/ml proteinase K at 55˚C for 30 min. RNA was isolated and purified from the precipitate using TRIzol® reagent according to the manufacturer's protocol. RT-qPCR was performed to measure the expression levels of NEAT1 and miR-874-3p.
Statistical analysis
All statistical analyses were performed using the SPSS 20.0 software (IBM Corp., SPSS). All results are expressed as the mean ± standard deviation (SD) from at least three independent experiments. Unpaired Student's t-test and one-way ANOVA followed by the Tukey's post hoc test or Pearson's correlation analysis were applied to analyze the significant differences, as appropriate. P<0.05 was considered to indicate a statistically significant difference.
Results
Expression of NEAT1 and miR-874-3p in EAFs and PAFs
The expression levels of NEAT1 and miR-874-3p in HFs, EAFs and PAFs were detected using RT-qPCR. The results displayed that the expression level of NEAT1 was significantly increased in EAFs and PAFs compared with HFs (Fig. 1A). However, the miR-874-3p expression level was significantly downregulated in EAFs and PAFs tissues (Fig. 1B). These results suggested that NEAT1 and miR-874-3p may be involved in follicular atresia progression.
Effects of NEAT1-knockdown on mGC proliferation and apoptosis
To investigate the potential role of NEAT1 in follicular atresia, mGCs were transfected with siRNA against NEAT1 (si-NEAT1) to knockdown its expression. The results revealed that knockdown of NEAT1 significantly decreased the NEAT1 expression of mGCs (Fig. 2A). Furthermore, the MTS assay demonstrated that NEAT1 depletion significantly increased the proliferation of mGCs cells after 48 h compared with the si-NC group (Fig. 2B). Finally, the flow cytometry results showed that the knockdown of NEAT1 significantly decreased the apoptosis ratio in mGCs (Fig. 2C).
Effects of NEAT1 knockdown on estradiol synthesis
The effect of NEAT1-knockdown on estradiol synthesis using ELISA assay was investigated. The results demonstrated that suppression of NEAT1 significantly increased the production of E2 and P4 in mGCs compared with the si-NC group (Fig. 3A and B). The expression of two genes encoding steroidogenic enzymes, CYP1B1 and CYP19A1, two key genes in estradiol synthesis (25) were also analyzed in mGCs transfected with si-NEAT1 or si-NC by RT-qPCR. The results revealed that knockdown of NEAT1 significantly increased the CYP1B1 and CYP19A1 expression levels in mGCs compared with the si-NC group (Fig. 3C and D). These results suggested that NEAT1 may play an important role in the regulation of steroidogenesis in mGCs.
MiR-874-3p is negatively regulated by NEAT1 in mGCs
Accumulating evidence has suggested that cytoplasmic lncRNAs exert their biological functions by acting as sponges for miRNAs to negatively regulate miRNAs expression (26). The present study revealed that NEAT1 was mainly located in the cytoplasm of mGCs (Fig. 4A). The online software ENCORI was used to identify the potential miRNA targets of NEAT1. The screening results revealed that miR-874-3p could bind to complementary sequences in NEAT1 (Fig. 4B). Subsequently, luciferase reporter assay was performed to investigate whether miR-874-3p can bind with NEAT1 via direct binding effects. As presented in Fig. 4C, overexpression of miR-874-3p significantly decreased the luciferase activity of WT-NEAT1, but not that of MUT-NEAT1. Furthermore, RIP assay was applied on mGC extracts to verify the direct association between NEAT1 and miR-874-3p using antibodies against Ago2. The results demonstrated that NEAT1 and miR-874-3p were significantly enriched in Ago2 pellets compared with control IgG (Fig. 4D). Additionally, NEAT1 downregulation significantly increased the expression levels of miR-874-3p in mGCs (Fig. 4E), while overexpression of miR-874-3p significantly decreased the expression levels of NEAT1 in mGCs (Fig. 4F). Overall, these results suggested that NEAT1 acted as a sponge for decreasing miR-874-3p expression.
NEAT1-knockdown affects mGCs proliferation and estradiol synthesis by regulating miR-874-3p
RT-qPCR analysis demonstrated notable miR-874-3p upregulation following transfection with miR-874-3p mimics and downregulation after transfection with miR-874-3p inhibitors (Fig. 5A and B). To verify whether NEAT1 regulated mGCs proliferation and estradiol synthesis by targeting miR-874-3p, a rescue experiment was subsequently conducted. It was revealed that the inhibition of miR-874-3p significantly reversed the NEAT1 knockdown-induced increase of miR-874-3p expression levels in mGCs (Fig. 5C). In addition, miR-874-3p inhibition significantly rescued the effects of NEAT1 depletion on mGCs apoptosis and proliferation, as well as the production of E2 and P4 (Fig. 5D-G). The aforementioned data suggested that NEAT1 regulated mGCs proliferation and estradiol synthesis by sponging miR-874-3p.
Discussion
Several lncRNAs have been identified to be key regulators of the normal development of GCs and are thereby involved in both physiological conditions and pathological processes, such as human oocyte maturation, fertilization, embryo development and ovarian failure (12,13). For example, lncRNA NORHA significantly induces GC apoptosis by influencing the activities of the miR-183-96-182 cluster and the forkhead box protein O1 axis (27). The LINC00477/miR-128 axis contributes to the progression of polycystic ovary syndrome by regulating ovarian granulosa cell proliferation and apoptosis (28). LncRNA steroid receptor RNA activator increases cell growth, inhibited apoptosis and induced secretion of E2 and P4 in mGCs (29). Metastasis-associated lung adenocarcinoma transcript 1 regulates mGC apoptosis and the secretion of E2 and P4 by regulating the miR-205/CREB1 axis (30). The present study revealed that knockdown of NEAT1 promoted cell proliferation, inhibited apoptosis and induced secretion of E2 and P4 by sponging miR-874-3p, thus suggesting that NEAT1 might be involved in follicular atresia.
GC proliferation and gonadal steroid hormones play key roles in both normal reproductive processes and some reproductive and nonreproductive pathology, including follicular atresia (6,7). GC apoptosis has been confirmed to be a main reason for follicular atresia (2). Thus, understanding of the underlying molecular mechanisms controlling steroid production, cell proliferation and apoptosis within GCs is needed for controlling follicular atresia. In the present study, the results demonstrated that the basal expression levels of NEAT1 in EAFs and PAFs were significantly upregulated compared with HFs. The results also demonstrated that NEAT1 depletion significantly increased cell proliferation, inhibited apoptosis and promoted the production of E2 and P4 in mGCs, thus implying that NEAT1 could participate in follicular atresia progression.
LncRNA NEAT1 has been revealed to function as an oncogene in ovarian carcinogenesis and serves as a potential biomarker for this disease (14,15). Moreover, NEAT1 depletion is able to affect human ovarian GC proliferation and apoptosis through regulation of the miR-381/IGF1 axis (16). However, its functional roles and regulatory mechanisms in GC remain largely unclear. The present study discovered that knockdown of NEAT1 significantly increased cell proliferation and inhibited apoptosis in mGCs, which was consistent with previous results (16). Notably, the present study's results also revealed that NEAT1 downregulation significantly promoted the production of E2 and P4 in mGCs.
Accumulating evidence has suggested that lncRNAs exerts diverse biological outcomes by sponging miRNAs involved in normal development and pathological responses (25,26,31). Based on the basic principles of interactions between miRNAs and lncRNAs, the underlying mechanism of NEAT1 affecting GC proliferation and apoptosis was subsequently investigated in the present study. The bioinformatical analysis indicated that NEAT1 could bind with multiple miRNAs. MiR-874-3p has been shown to be downregulated and serves as a tumor suppressor in several types of cancer, including ovarian cancer (32). Notably, miR-874-3p has been reported to promote testosterone-induced GC apoptosis by suppressing histone deacetylase 1-mediated p53 deacetylation (33). Furthermore, the luciferase reporter activity and RIP assays in the present study confirmed this interaction. NEAT1 knockdown increased the expression level of miR-874-3p in mGCs, while overexpression of miR-874-3p decreased the expression level of NEAT1. The effects of NEAT1 depletion on MGCs proliferation, apoptosis and the production of E2 and P4 were partially reserved following miR-874-3p inhibition. Taken together, the aforementioned results indicated that NEAT1 regulated mGC proliferation and estradiol synthesis by sponging miR-874-3p.
In summary, the present study demonstrated that NEAT1 functioned as an important regulator of E2 release, cell proliferation and apoptosis in mGCs by sponging miR-874-3p. Although further studies are needed to study other miRNAs that bind with NEAT1 to clarify the regulatory mechanism of NEAT1, the present study demonstrated that NEAT1 can regulate GC cell proliferation and steroidogenesis, suggesting that NEAT1 has therapeutic implications for the control of follicular atresia and fertility.
Acknowledgements
Not applicable.
Funding
Funding: This work was supported by the Natural Science Foundation of Basic Research Fund (grant no. KYJF2021ZR003) and the Program of Science and Technology Development Plan of Jilin Province (grant no. 20191001003XH).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
LZ and XLi conceived the study. PZ, JG, SL and GL performed the experiments and wrote the manuscript. WW and CT analyzed the data. XLiu interpreted data. PZ and GL confirm the authenticity of all the raw data. All authors read and approved the final manuscript.
Ethical approval and consent to participate
The present study was approved by the Animal Ethics Committee of Jilin Academy of Agricultural Sciences (approval no. JNK20210719-2; Changchun, China) and was in accordance with the Declaration of Helsinki (2000).
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Moley KH and Schreiber JR: Ovarian follicular growth, ovulation and atresia. Endocrine, paracrine and autocrine regulation. Adv Exp Med Biol. 377:103–119. 1995.PubMed/NCBI View Article : Google Scholar | |
Manabe N, Goto Y, Matsuda-Minehata F, Inoue N, Maeda A, Sakamaki K and Miyano T: Regulation mechanism of selective atresia in porcine follicles: Regulation of granulosa cell apoptosis during atresia. J Reprod Dev. 50:493–514. 2004.PubMed/NCBI View Article : Google Scholar | |
Ma L, Tang X, Guo S, Liang M, Zhang B and Jiang Z: miRNA-21-3p targeting of FGF2 suppresses autophagy of bovine ovarian granulosa cells through AKT/mTOR pathway. Theriogenology. 157:226–237. 2020.PubMed/NCBI View Article : Google Scholar | |
Driancourt MA, Gibson WR and Cahill LP: Follicular dynamics throughout the oestrous cycle in sheep. A review. Reprod Nutr Dev (1980). 25:1–15. 1985.PubMed/NCBI View Article : Google Scholar | |
Matsuda F, Inoue N, Manabe N and Ohkura S: Follicular growth and atresia in mammalian ovaries: Regulation by survival and death of granulosa cells. J Reprod Dev. 58:44–50. 2012.PubMed/NCBI View Article : Google Scholar | |
Webb R, Nicholas B, Gong JG, Campbell BK, Gutierrez CG, Garverick HA and Armstrong DG: Mechanisms regulating follicular development and selection of the dominant follicle. Reproduction. 61:71–90. 2003.PubMed/NCBI | |
Quirk SM, Cowan RG, Harman RM, Hu CL and Porter DA: Ovarian follicular growth and atresia: The relationship between cell proliferation and survival. J Anim Sci. 82 (E-Suppl):E40–E52. 2004.PubMed/NCBI View Article : Google Scholar | |
Zhang J, Xu Y, Liu H and Pan Z: MicroRNAs in ovarian follicular atresia and granulosa cell apoptosis. Reprod Biol Endocrinol. 17(9)2019.PubMed/NCBI View Article : Google Scholar | |
Maalouf SW, Liu WS and Pate JL: MicroRNA in ovarian function. Cell Tissue Res. 363:7–18. 2016.PubMed/NCBI View Article : Google Scholar | |
Geisler S and Coller J: RNA in unexpected places: Long non-coding RNA functions in diverse cellular contexts. Nat Rev Mol Cell Biol. 14:699–712. 2013.PubMed/NCBI View Article : Google Scholar | |
Ponting CP, Oliver PL and Reik W: Evolution and functions of long noncoding RNAs. Cell. 136:629–641. 2009.PubMed/NCBI View Article : Google Scholar | |
Jin L, Yang Q, Zhou C, Liu L, Wang H, Hou M, Wu H, Shi F, Sheng J and Huang H: Profiles for long non-coding RNAs in ovarian granulosa cells from women with PCOS with or without hyperandrogenism. Reprod Biomed Online. 37:613–623. 2018.PubMed/NCBI View Article : Google Scholar | |
Tu J, Chen Y, Li Z, Yang H, Chen H and Yu Z: Long non-coding RNAs in ovarian granulosa cells. J Ovarian Res. 13(63)2020.PubMed/NCBI View Article : Google Scholar | |
Yu X, Li Z, Zheng H, Chan MT and Wu WK: NEAT1: A novel cancer-related long non-coding RNA. Cell Prolif. 50(e12329)2017.PubMed/NCBI View Article : Google Scholar | |
Zhou H, Wang Y, Liu Z, Zhang Z, Xiong L and Wen Y: Recent advances of NEAT1-miRNA interactions in cancer. Acta Biochim Biophys Sin (Shanghai). 54:153–162. 2022.PubMed/NCBI View Article : Google Scholar | |
Zhen J, Li J, Li X, Wang X, Xiao Y, Sun Z and Yu Q: Downregulating lncRNA NEAT1 induces proliferation and represses apoptosis of ovarian granulosa cells in polycystic ovary syndrome via microRNA-381/IGF1 axis. J Biomed Sci. 28(53)2021.PubMed/NCBI View Article : Google Scholar | |
U.S. Office of Science and Technology Policy. Laboratory animal welfare; U.S. government principles for the utilization and care of vertebrate animals used in testing, research and training; notice. Fed Regist. 50:20864–20865. 1985.PubMed/NCBI | |
Kim EJ, Lee J, Youm HW, Kim SK, Lee JR, Suh CS and Kim SH: Comparison of follicle isolation methods for mouse ovarian follicle culture in vitro. Reprod Sci. 25:1270–1278. 2018.PubMed/NCBI View Article : Google Scholar | |
Miller KP, Gupta RK, Greenfeld CR, Babus JK and Flaws JA: Methoxychlor directly affects ovarian antral follicle growth and atresia through Bcl-2- and Bax-mediated pathways. Toxicol Sci. 88:213–221. 2005.PubMed/NCBI View Article : Google Scholar | |
Kipp JL, Kilen SM, Woodruff TK and Mayo KE: Activin regulates estrogen receptor gene expression in the mouse ovary. J Biol Chem. 282:36755–36765. 2007.PubMed/NCBI View Article : Google Scholar | |
Xie K, Cai Y, Yang P, Du F and Wu K: Upregulating microRNA-874-3p inhibits CXCL12 expression to promote angiogenesis and suppress inflammatory response in ischemic stroke. Am J Physiol Cell Physiol. 319:C579–C588. 2020.PubMed/NCBI View Article : Google Scholar | |
Ma J, Zhao N, Du L and Wang Y: Downregulation of lncRNA NEAT1 inhibits mouse mesangial cell proliferation, fibrosis, and inflammation but promotes apoptosis in diabetic nephropathy. Int J Clin Exp Pathol. 12:1174–1183. 2019.PubMed/NCBI | |
Zhao F, Wang N, Yi Y, Lin P, Tang K, Wang A and Jin Y: Knockdown of CREB3/Luman by shRNA in mouse granulosa cells results in decreased estradiol and progesterone synthesis and promotes cell proliferation. PLoS One. 11(e0168246)2016.PubMed/NCBI View Article : Google Scholar | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001.PubMed/NCBI View Article : Google Scholar | |
Fang Y and Fullwood MJ: Roles, functions, and mechanisms of long non-coding RNAs in cancer. Genomics Proteomics Bioinformatics. 14:42–54. 2016.PubMed/NCBI View Article : Google Scholar | |
Tay Y, Rinn J and Pandolfi PP: The multilayered complexity of ceRNA crosstalk and competition. Nature. 505:344–352. 2014.PubMed/NCBI View Article : Google Scholar | |
Yao W, Pan Z, Du X, Zhang J, Liu H and Li Q: NORHA, a novel follicular atresia-related lncRNA, promotes porcine granulosa cell apoptosis via the miR-183-96-182 cluster and FoxO1 axis. J Anim Sci Biotechnol. 12(103)2021.PubMed/NCBI View Article : Google Scholar | |
Gao H, Jiang J, Shi Y, Chen J, Zhao L and Wang C: The LINC00477/miR-128 axis promotes the progression of polycystic ovary syndrome by regulating ovarian granulosa cell proliferation and apoptosis. Reprod Biol Endocrinol. 19(29)2021.PubMed/NCBI View Article : Google Scholar | |
Li Y, Wang H, Zhou D, Shuang T, Zhao H and Chen B: Up-Regulation of long noncoding RNA SRA promotes cell growth, inhibits cell apoptosis, and induces secretion of estradiol and progesterone in ovarian granular cells of mice. Med Sci Monit. 24:2384–2390. 2018.PubMed/NCBI View Article : Google Scholar | |
Sun L, Zhang P and Lu W: lncRNA MALAT1 regulates mouse granulosa cell apoptosis and 17beta-estradiol synthesis via regulating miR-205/CREB1 Axis. Biomed Res Int. 2021(6671814)2021.PubMed/NCBI View Article : Google Scholar | |
Chan JJ and Tay Y: Noncoding RNA: RNA regulatory networks in cancer. Int J Mol Sci. 19(1310)2018.PubMed/NCBI View Article : Google Scholar | |
Xia B, Lin M, Dong W, Chen H, Li B, Zhang X, Hou Y and Lou G: Upregulation of miR-874-3p and miR-874-5p inhibits epithelial ovarian cancer malignancy via SIK2. J Biochem Mol Toxicol. 32(e22168)2018.PubMed/NCBI View Article : Google Scholar | |
Wei Y, Wang Z, Wei L, Li S, Qiu X and Liu C: MicroRNA-874-3p promotes testosterone-induced granulosa cell apoptosis by suppressing HDAC1-mediated p53 deacetylation. Exp Ther Med. 21(359)2021.PubMed/NCBI View Article : Google Scholar |