Literature DB >> 27746409

An immortalized steroidogenic goat granulosa cell line as a model system to study the effect of the endoplasmic reticulum (ER)-stress response on steroidogenesis.

Diqi Yang1, Lei Wang, Pengfei Lin, Tingting Jiang, Nan Wang, Fan Zhao, Huatao Chen, Keqiong Tang, Dong Zhou, Aihua Wang, Yaping Jin.   

Abstract

With granulosa and theca cells, the ovaries are responsible for producing oocytes and secreting sex steroids such as estrogen and progesterone. Endoplasmic reticulum stress (ERS) plays an important role in follicle atresia and embryo implantation. In this study, goat granulosa cells were isolated from medium-sized (4-6 mm) healthy follicles. Primary granulosa cells were immortalized by transfection with human telomerase reverse transcriptase (hTERT) to establish a goat granulosa cell line (hTERT-GGCs). These hTERT-GGCs expressed hTERT and had relatively long telomeres at passage 50. Furthermore, hTERT-GGCs expressed the gonadotropin receptor genes CYP11A1, StAR, and CYP19A1, which are involved in steroidogenesis. Additionally, progesterone was detectable in hTERT-GGCs. Although the proliferation potential of hTERT-GGCs significantly improved, there was no evidence to suggest that the hTERT-GGCs are tumorigenic. In addition, thapsigargin (Tg) treatment led to a significant dose-dependent decrease in progesterone concentration and steroidogenic enzyme expression. In summary, we successfully generated a stable goat granulosa cell line. We found that Tg induced ERS in hTERT-GGCs, which reduced progesterone production and steroidogenic enzyme expression. Future studies may benefit from using this cell line as a model to explore the molecular mechanisms regulating steroidogenesis and apoptosis in goat granulosa cells.

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Year:  2016        PMID: 27746409      PMCID: PMC5320427          DOI: 10.1262/jrd.2016-111

Source DB:  PubMed          Journal:  J Reprod Dev        ISSN: 0916-8818            Impact factor:   2.214


In female mammals, only 1% of follicles reach ovulation, causing the remaining follicles to undergo atresia [1]. Apoptosis of granulosa cells and degeneration of theca cells are considered to be crucial reasons for follicular atresia [2]. Granulosa cells also play a vital role in the secretion of sex steroids, such as estrogen and progesterone, in the follicle and are indispensable for oocyte maturation [2,3,4]. Previous in vitro studies using primary granulosa cells have elucidated changes in the molecular mechanisms of steroid synthesis, and the regulation of granulosa cell function [5]. The use of primary granulosa cells can be beneficial for maintaining intrinsic cell properties and for elucidating molecular mechanisms. However, primary cells lack the ability to be cultured for long term in vitro, which may limit some investigations. By transfecting the SV40 large T antigen in granulosa cells, others studies have successfully established immortalized granulosa cell lines [6]. Primary granulosa cells are known to be regulated by follicle stimulating hormone (FSH) or forskolin to secrete progesterone. However, the concentration of progesterone could not be detected in the presence of FSH or forskolin in an SV40-immortalized porcine granulosa cell line [7]. Furthermore, the KGN granulosa-like cell line, derived from human tumors, can be stimulated with FSH to regulate the secretion of progesterone, but the cells lacked the response to human chorionic gonadotropin (hCG) [8]. Consequently, the granulosa cell lines that have been established to date are not ideal models for the study of the function of granulosa cells in normal folliculogenesis. To better understand normal folliculogenesis, we aimed to immortalize a goat granulosa cell line that can secrete steroids without neoplastic transformation. For most somatic cells, decrease in telomerase activity can lead to shortened telomeres after repeated cell division, and ultimately to irreversible replicating senescence [9, 10]. Recently, some groups have reported that senescence can be overcome by overexpressing certain oncogenes [11, 12]. Epstein Barr virus (EBV) and Simian virus 40 (SV40) T antigen have been demonstrated to induce immortalization and are highly expressed in cancer cells. Most cell lines that overexpress an oncogene for immortalization are unable to maintain their normal physiological functions because of the lack of some key transcription factors or the presence of oncogenic factors resulting from transformation [7, 13,14,15]. Importantly, exogenous human telomerase reverse transcriptase (hTERT) can be introduced into cells to achieve immortalization, and these immortalized cells maintain their normal functions and features [16,17,18]. Importantly, we have previously shown that transfection with the hTERT gene can initiate telomerase activation and immortalize the goat Leydig cell line [16]. The endoplasmic reticulum (ER) plays an important role in protein synthesis and cellular homeostasis [19]. Many conditions can cause damage to ER homeostasis, including the loss of calcium, hypoxia, and dysfunction of glycosylation [20, 21]. To cope with stress, the unfolded protein response (UPR) is activated [22], which induces a cytoprotective effect and helps to reestablish homeostasis [23]. For example, the binding immunoglobulin protein (BiP), also called 78-kDa glucose-regulated protein (GRP78), serves as an ER stress sensor and interacts with activating transcription factor 6 (ATF6), inositol-requiring enzyme1 (IRE1), and protein kinase-like ER kinase (PERK) in the presence of ER stress (ERS) [24, 25]. If ERS is not alleviated, CHOP (C/EBP homologous protein) is triggered by UPR to mediate cell death. Previous studies have shown that UPR is involved in steroidogenic enzyme expression in hCG-stimulated Leydig cells and the regulation of corpus luteum (CL) function in mice [26, 27]. However, it remains unclear whether ERS affects steroid synthesis in goat granulosa cells. Here, we established a stable steroidogenic goat granulosa cell line by using hTERT. We then used this immortalized cell line to investigate whether ERS affects the function of steroid synthesis and steroidogenic enzymes in goat granulosa cells.

Materials and Methods

Isolation and routine culture of goat primary granulosa cells

Fresh goat ovaries, obtained from a local slaughterhouse, were transferred to prewarmed (37°C) phosphate-buffered saline (PBS) within 2 h of slaughter, under laboratory conditions. Briefly, granulosa cells were aspirated with a fine needle from medium-sized (4–6 mm) healthy follicles. Follicles were considered healthy if they were uniformly translucent and vascularized. Next, granulosa cells were isolated and adapted as described by Lin et al. [28]. Granulosa cells were cultured in M-199 medium (Gibco, Life Technologies, NY, USA) containing 10% fetal calf serum (Gibco, Life Technologies) and incubated at 37°C in a humidified incubator with 5% CO2. The culture medium was changed every three days. Cell transfection and selection: When goat granulosa cells (GGCs) reached 50% confluence, they were immortalized by transduction with pCI-neo-hTERT using the turbofect transfection reagent (Thermo Scientific, USA) according to the manufacturer′s instructions. After 24 h, the complete culture medium, containing 400 μg/ml G418 (Sigma, St. Louis, MO, USA), was used to select transfected cells. After two weeks, drug-resistant monoclonal cells were selected. Three positive colonies were propagated and cultured for the subsequent studies and were named hTERT-goat granulosa cells (hTERT-GGCs).

RNA extraction and RT-PCR

Total RNA was extracted from primary GGCs, hTERT-GGCs, and hTERT-GGCs treated with 0, 0.01, 0.1, or 1 μM of the ER stress inducer thapsigargin (Tg) using Trizol Reagent (TaKaRa Bio, Dalian, China) according to the manufacturer′s instructions. The RNA concentration and purity were measured as previously described [28]. cDNA was synthesized using the PrimeScriptTM RT reagent kit (TaKaRa Bio) following the manufacturer′s instructions. The primer sequences and PCR amplification product sizes are shown in Table 1. RT-PCR amplification was performed as previously reported by Zhou et al. [16]. PCR products were separated by gel electrophoresis on 2% agarose gels containing ethidium bromide (Sigma) and visualized under UV illumination [29].
Table 1.

Primer pairs used for PCR and Real time PCR

GeneSequences (5ˊ→3ˊ)Product length (bp)Annealing temperature (°C)References or GenBank accession number
TERTForward: tatgccgtggtccagaagg38456[33]
Reverse: caagaaatcatccaccaaacg
StAR 1Forward: tactaaaggagccgtggataaag57656XM_005698829
Reverse: ctacaagtggtaatggttgggtt
LHCGRForward: ctctttctttgccatctcag27058[39]
Reverse: cgggagggcttatttga
CYP19A1Forward: ggcatcatatttaacaatccagca54760[53]
Reverse: cagacatggtgtctggcgctgcgatca
CYP11A1 1Forward: gcagagggcgacataagca23357[30]
Reverse: ggtcacggagatagggtgga
CYP17A1Forward: tttcaaggtgaagatcgaggtg14658[30]
Reverse: cggggaggaagaaggaatg
ESR1Forward: caagaaggtccaatccgagt84655XM_013966607.1
Reverse: aaagagcagtttccgtgaac
ESR2Forward: tccattgccagtcgtcacttc63460NM_001285688.1
Reverse: gccagcttggtcaaggacatc
FSHRForward: gggctgggtctttgcttttg49460KJ817181.1
Reverse: ctgacctgtaggtctgggct
TelomereForward: ggtttttgagggtgagggtgagggtgagggtgagggt3958[50]
Reverse: tcccgactatccctatccctatccctatccctatcccta
GAPDH 1Forward: tctgctgatgcccccatgtt28956[48]
Reverse: tgaccttgcccacagccttg
GAPDH 2Forward: gatggtgaaggtcggagtgaac10056[5]
Reverse: gtcattgatggcgacgatgt
StAR2Forward: aggccatgggcgagtggaac14560XM_005698829.1
Reverse: gtacagcgcacgctcacaaa
CYP11A1 2Forward: tgatggctccagaggcaataaa15060NM_001287574.1
Reverse: caaaggcaaagtgaaacaggtc
3β-HSDForward: tccacaccagcaccatagag14360NM_001285716.1
Reverse: ttccagcacagccttctcg

The numbers (in bp) in the right margin indicate the sizes of the expected amplified products for each set of primers. GAPDH was used as an internal control in PCR, GAPDH was used as an internal control in Real time PCR.

The numbers (in bp) in the right margin indicate the sizes of the expected amplified products for each set of primers. GAPDH was used as an internal control in PCR, GAPDH was used as an internal control in Real time PCR.

Immunofluorescence

hTERT-GGCs and GGCs were seeded into six-well slide chambers, fixed with 4% paraformaldehyde (PFA) for 30 min and permeabilized in 1% Triton X-100 for 5 min. After blocking in PBS containing 1% bovine serum albumin for 1 h, the cells were incubated with primary antibodies against TERT (Boster Biotech, Wuhan, China) and against aromatase (Abcam, Cambridge, MA, USA) overnight at 4°C. After washing three times with PBS and incubating for 1 h at room temperature in a 1:500 dilution mixture of Alexa-labeled donkey anti-rabbit IgG (Invitrogen, Life Technologies) at 37°C for 2 h, the nuclei were counterstained by DAPI (4,6-diamidino-2-phenylindole) and the cells were observed by laser-scanning confocal microscopy (Nikon, Melville, NY, USA).

Estradiol and progesterone measurement

Primary GGCs and hTERT-GGCs were plated into 24-well plates (5 × 104 cells/well) and cultured in M-199 medium with 10% FBS. After 24 h, the cells were cultured in serum-free M-199 medium with 10 μM androstenedione (4-androstene-3, 17-dione; Dr. Ehenstorfer, GmbH). The cells were then stimulated with 0.5 and 5 IU/ml FSH (Sigma) for 24 h. The culture supernatants were collected, and the concentration of estradiol and progesterone were measured by ELISA kits according to manufacturer′s instructions. Similarly, hTERT-GGCs were cultured in serum-free M-199 medium with 0, 0.01, 0.1, or 1 μM Tg for 12 h. Progesterone concentration was measured as described above. The coefficient of variation was less than 15% for each group. The minimum assay sensitivity of estradiol was 25 pg/ml, and the progesterone was 0.2 ng/ml.

Proliferation assays

hTERT-GGCs at passage 50 and GGCs at passage 7 were seeded in 96-well plates at 2,000 cells / well and allowed to adhere overnight. After growing for a week, proliferation was measured by adding the Cell Counting Kit-8 (Beyotime, Haimen, Jiangsu, China) to the cells (10 μl/well) and incubating for 2 h at 37°C. The number of viable cells was measured at 450 nm by a Microplate Reader (Bio-Rad 680). Independent experiments were performed in triplicate and repeated three times.

Measurement of telomere length and quantitative real-time PCR

Telomere length was measured by quantitative real-time PCR. Briefly, genomic DNA was extracted from HeLa cells and GGCs at passage 7 and hTERT-GGCs at passage 50 using a TIANamp Genomic DNA Kit (TIANGEN Biotech, Beijing, China). Real-time quantitative PCR was carried out using SYBR Premix Ex Taq II Kit (TaKaRa Bio) in a Bio-Rad iQ5 instrument (iQ5, Bio-Rad Laboratories, Hercules, CA, USA) according to the manufacturer′s protocol. The cycling conditions included a denaturation step at 95°C for 30 sec followed by 45 PCR cycles at 95°C for 15 sec and 58°C for 20 sec. The quantitative PCR protocol was adapted from our previously published study [16] and was performed in triplicate by laboratory technicians under identical conditions. Primer sequences, product lengths, and annealing temperatures are listed in Table 1. Telomere length and mRNA quantification were calculated using the 2-ΔΔCt method. Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as the internal control gene, and we ensured that the GAPDH expression was stable (Supplementary Fig. 1: online only) [16, 30, 31].

Karyotype analysis

Karyotype analysis of passage 50 hTERT-GGCs was performed using standard methods described by Wei et al. [17].

Soft agar assay

The lower soft agar layer was prepared using 2.0 ml of M-199 medium containing 10% FBS and 0.4% agar (Sigma) in 6-well plates. Subsequently, hTERT-GGCs at passage 50 were suspended in the top layer of M-199 medium containing 10% FBS and 0.4% agar. The cell suspension was then mixed rapidly and poured onto the lower layer. The agar culture was incubated at 37°C with 5% CO2 for 14 days. Colonies were observed and analyzed by microscopy. The mouse myeloma SP2/0 cell line (Sp2/0) was treated in the same way and used as a positive control [32].

Cell cycle analysis

hTERT-GGCs at passage 50 and GGCs at passage 7 were washed with ice-cold PBS and harvested with trypsin. Next, the cells were centrifuged at 2,000 rpm for 5 min and fixed in cold 70% ethanol overnight at 4°C. All samples were then stained using the Cell Cycle Detection Kit (KeyGEN Biotech, Nanjing, China) as we have previously reported [16]. Finally, the samples were analyzed by flow cytometry. Each test was performed in triplicate.

Western blot analysis

After treatment with 0, 0.01, 0.1, or 1 μM Tg hTERT-GGCs were lysed with RIPA buffer to extract the protein (Beijing Solarbio Science & Technology, Beijing, China). Total protein concentration was measured by the BCA assay (Nanjing Keygen Biotech). Thirty micrograms of total protein was loaded into each well of a 12% SDS-PAGE gel, and the proteins were separated by electrophoresis. The proteins were then transferred to PVDF membranes (Millipore; Bedford, MA). After blocking in Tris-buffered saline containing 0.5% Tween-100 (TBST) with 10% nonfat milk for 2 h, samples were incubated with phosphor-IRE1α (Abcam, diluted 1:1000), GRP78 (CST, diluted 1:1000), and CHOP (Santa Cruz, diluted 1:200) antibodies for 12 h at 4°C. Anti-β-actin mouse monoclonal antibody (Tianjin Sanjian Biotech, diluted 1:2000) served as a loading control. Subsequently, the membranes were incubated for 1 h with HRP-labeled secondary antibody at room temperature. Finally, the protein bands were visualized using the Gel Image System (Tannon Biotech, Shanghai, China) and measured with Quantity One software (Bio-Rad Laboratories).

Statistical analysis

All experiments were performed in triplicate and the data were analyzed using one-way ANOVA, followed by Tukey′s post hoc test and Fisher LSD. All data are expressed as mean ± SEM and analyzed using SPSS software (Version13.0; SPSS, Chicago, IL). Statistical differences were considered significant when the P value was less than 0.05.

Results

Establishment and characterization of immortalized GGCs

hTERT-GGCs at passages 30 and 50 were typically elongated and fibroblastic in morphology and had a high nuclei to cytoplasm ratio (Fig. 1A). To identify the purity of GGCs and hTERT-GGCs, we stained the cells with the granulosa cell marker, aromatase [33]. All the GGCs and hTERT-GGCs were specifically stained with aromatase (Supplementary Fig. 2: online only), demonstrating that GGCs and hTERT-GGCs are pure granulosa cells.
Fig. 1.

Cell morphology, hTERT mRNA detection, and telomere length in GGCs and hTERT-GGCs. (A) Morphology of GGCs at passage 3, and hTERT-GGCs at passage 30 and 50. Bar = 100 μm. (B) Immunofluorescence detection of the hTERT protein in GGCs and hTERT-GGCs. Immunofluorescence staining analysis of GGCs at passage 3, hTERT-GGCs at passage 30, and hTERT-GGCs at passage 50 were performed using hTERT antibodies. Bar = 50 μm. (C) RT-PCR analyses confirming the expression of hTERT mRNA. GGCs at passage 3 in lane 1, hTERT-GGC at passage 30 in lane 2, hTERT-GGCs at passage 50 in lane 3, and HeLa cells as positive controls in lane 4. (D) The relative telomere length detection by quantitative PCR. The telomere length is measured as the ratio of telomere copy number/ single copy gene copy number (T/S). For each sample, the values of T and S are measured by the standard curve method. The T/S ratio reflects the length of the telomeres. Data are presented as means ± SEM of three independent experiments. Bars with different letters are significantly different (P < 0.05).

Cell morphology, hTERT mRNA detection, and telomere length in GGCs and hTERT-GGCs. (A) Morphology of GGCs at passage 3, and hTERT-GGCs at passage 30 and 50. Bar = 100 μm. (B) Immunofluorescence detection of the hTERT protein in GGCs and hTERT-GGCs. Immunofluorescence staining analysis of GGCs at passage 3, hTERT-GGCs at passage 30, and hTERT-GGCs at passage 50 were performed using hTERT antibodies. Bar = 50 μm. (C) RT-PCR analyses confirming the expression of hTERT mRNA. GGCs at passage 3 in lane 1, hTERT-GGC at passage 30 in lane 2, hTERT-GGCs at passage 50 in lane 3, and HeLa cells as positive controls in lane 4. (D) The relative telomere length detection by quantitative PCR. The telomere length is measured as the ratio of telomere copy number/ single copy gene copy number (T/S). For each sample, the values of T and S are measured by the standard curve method. The T/S ratio reflects the length of the telomeres. Data are presented as means ± SEM of three independent experiments. Bars with different letters are significantly different (P < 0.05). RT-PCR and immunofluorescence analysis showed that hTERT-GGCs at passages 30 and 50 expressed hTERT mRNA and protein. As expected, GGCs at passage 3 did not express hTERT mRNA and protein (Fig. 1B and Fig. 1C). Furthermore, the telomeres of hTERT-GGCs passage 50 chromosomes had longer telomeres than the chromosomes of GGCs at passage 7 (Fig. 1D). These results indicate that the telomeres of hTERT-GGCs were maintained at a sufficient length and functioned normally.

Proliferation and cell cycle of immortalized GGCs

Cell viability of hTERT-GGCs at passage 50 was significantly increased compared with that of the GGCs (Fig. 2A). Moreover, the cell cycles of GGCs and hTERT-GGCs, detected by flow cytometry, were significant different (Fig. 2B). The percentage of hTERT-GGCs in S-phase was markedly elevated compared to GGCs under the same conditions. A corresponding reduction in hTERT-GGCs in G1-phase was also observed (Supplementary Fig. 4: online only). These results demonstrate that hTERT-GGCs have greater viability than GGCs, and that hTERT expression accelerated cell cycle progression.
Fig. 2.

The detection of proliferation, cell cycle, and steroidogenic activity in hTERT-GGCs. (A) Growth curves of GGCs and hTERT-GGCs as determined by the CCK-8 method. Data presented are means ± SEM of three independent experiments. (B) Cell cycle distribution of GGCs at passage 7 and hTERT-GGCs at passage 50 as detected by flow cytometry. The percentage of hTERT-GGCs in S-phase is significantly higher than that of GGCs under the same culture conditions. (C and D) The 24 h secretion of estradiol and progesterone in GGCs and hTERT-GGCs was measured using an ELISA kit. Androstenedione was added to the culture medium and served as the substrate, followed by stimulation with 0, 0.5, or 5 IU/ml FSH. Data are presented as means ± SEM of three independent experiments. Bars with different letters are significantly different (P < 0.05).

The detection of proliferation, cell cycle, and steroidogenic activity in hTERT-GGCs. (A) Growth curves of GGCs and hTERT-GGCs as determined by the CCK-8 method. Data presented are means ± SEM of three independent experiments. (B) Cell cycle distribution of GGCs at passage 7 and hTERT-GGCs at passage 50 as detected by flow cytometry. The percentage of hTERT-GGCs in S-phase is significantly higher than that of GGCs under the same culture conditions. (C and D) The 24 h secretion of estradiol and progesterone in GGCs and hTERT-GGCs was measured using an ELISA kit. Androstenedione was added to the culture medium and served as the substrate, followed by stimulation with 0, 0.5, or 5 IU/ml FSH. Data are presented as means ± SEM of three independent experiments. Bars with different letters are significantly different (P < 0.05).

Induction of steroidogenic activity in immortalized GGCs

To measure the steroidogenic activity of hTERT-GCCs, we stimulated GGCs and hTERT-GGCs with FSH and measured the estradiol and progesterone levels. After the addition of androstenedione, the estradiol level in hTERT-GGCs was lower than that in GGCs. Furthermore, estradiol levels in hTERT-GGCs were not appreciably increased by stimulation with FSH (Fig. 2C). Similarly, there was no significant difference between progesterone levels in hTERT-GGCs and GGCs (Fig. 2D).

Expression of the steroidogenesis-related genes in immortalized GGCs

It was important to determine whether hTERT-GGCs maintain the same phenotype as GGCs. Therefore, we evaluated the expression of a series of key genes using RT-PCR in GGCs at passage 5 and hTERT-GGCs at passages 30 and 50 (Fig. 3A). Expression of genes encoding enzymes involved in steroidogenesis including StAR, CYP11A1, CYP19A1, and CYP17A1 were detected in both GGCs and hTERT-GGCs by RT-PCR. Additionally, expression of genes encoding receptors such as LHCGR and ESR was observed in both GGCs and hTERT-GGCs. However, FSHR expression in hTERT-GGCs was relatively low compared to that in GGCs.
Fig. 3.

Steroidogenesis-related gene expression, karyotype, and tumorigenicity in hTERT-GGCs. (A) Phenotypic features of hTERT-GGCs. The expression of some key genes related to steroidogenesis was measured by RT-PCR. GGCs at passage 5 in lane 1, hTERT-GGCs at passage 30 in lane 2, and hTERT-GGCs at passage 50 in lane 3. GAPDH was used as an internal control. (B) Karyotype analysis of hTERT-GGCs at passage 50. The chromosomal rearrangements of hTERT-GGCs showed the normal karyotype for goat. (C) Soft agar colony comparison between hTERT-GGCs at passage 50 (i) and Sp2/0 (ii). (i) No colonies were formed in hTERT-GGCs over 10 days of culture. (ii) Colony formation can be observed after 10 days of culture from Sp2/0 cells.

Steroidogenesis-related gene expression, karyotype, and tumorigenicity in hTERT-GGCs. (A) Phenotypic features of hTERT-GGCs. The expression of some key genes related to steroidogenesis was measured by RT-PCR. GGCs at passage 5 in lane 1, hTERT-GGCs at passage 30 in lane 2, and hTERT-GGCs at passage 50 in lane 3. GAPDH was used as an internal control. (B) Karyotype analysis of hTERT-GGCs at passage 50. The chromosomal rearrangements of hTERT-GGCs showed the normal karyotype for goat. (C) Soft agar colony comparison between hTERT-GGCs at passage 50 (i) and Sp2/0 (ii). (i) No colonies were formed in hTERT-GGCs over 10 days of culture. (ii) Colony formation can be observed after 10 days of culture from Sp2/0 cells.

Karyotype and tumorigenicity analysis of immortalized GGCs

To ensure that no chromosomal abnormalities resulted from immortalization of the GGCs, we performed hTERT-GGC karyotype analysis. hTERT-GGCs showed the normal goat chromosome number (2n = 60), consistent with a normal chromosome profile (Fig. 3B). Next, we investigated the oncogenicity of hTERT-GGCs at passage 50 using a soft agar assay. After 10 days, we observed the formation of colonies in soft agar from Sp2/0 cells, a cell line with known oncogenicity (Fig. 3Cii). We did not observe any hTERT-GGC colony formation (Fig. 3Ci), suggesting that hTERT-GGCs do not have oncogenic capacity.

ER stress affects progesterone production and steroidogenic enzyme expression

To explore whether progesterone production and steroidogenic enzyme expression is affected in hTERT-GGCs under ERS conditions, hTERT-GGCs were treated with 0, 0.01, 0.1, or 1 μM of Tg. Tg is a drug that inhibits Ca2+ pumping into the ER and increases the accumulation of misfolded proteins. The expression of phosphor-IRE1α, GRP78, and CHOP proteins was significantly increased by Tg in a dose-dependent manner in hTERT-GGCs (Fig. 4A–D).
Fig. 4.

Effect of Tg on the expression of ERS-related proteins in hTERT-GGCs. (A) hTERT-GGCs were treated with 0, 0.01, 0.1, or 1 μM Tg for 12 h. (B-D) The band intensity analysis of phosphor-IRE1α, GRP78, and CHOP. Data presented are means ± SEM of three independent experiments. Bars with different letters are significantly different (P < 0.05).

Effect of Tg on the expression of ERS-related proteins in hTERT-GGCs. (A) hTERT-GGCs were treated with 0, 0.01, 0.1, or 1 μM Tg for 12 h. (B-D) The band intensity analysis of phosphor-IRE1α, GRP78, and CHOP. Data presented are means ± SEM of three independent experiments. Bars with different letters are significantly different (P < 0.05). We then assessed whether the ERS inducer affected progesterone production in hTERT-GGCs. We measured the concentration of progesterone in the culture supernatants 12 h after Tg treatment. Tg treatment significantly decreased the concentration of progesterone in the culture supernatant and slightly inhibited cell viability (Fig. 5A and Supplementary Fig. 3: online only). In addition, Tg affected the expression levels of steroidogenic enzymes. Specifically, Tg significantly decreased the mRNA levels of StAR, CYP11A1, and 3β-HSD in a dose-dependent manner (Fig. 5B–D). Taken together these results showed that ERS suppressed progesterone production and steroidogenic enzyme expressions in hTERT-GGCs.
Fig. 5.

ER stress suppressed progesterone production and steroidogenic enzyme expression in hTERT-GGCs. (A) The secretion of progesterone in hTERT-GGCs treated with 0, 0.01, 0.1 and 1 μM Tg for 12 h was measured using an ELISA kit. (B) Key genes related to steroidogenesis (StAR, CYP11A1, and 3β-HSD) were measured by real-time-PCR. Data presented are means ± SEM of three independent experiments. Bars with different letters are significantly different (P < 0.05).

ER stress suppressed progesterone production and steroidogenic enzyme expression in hTERT-GGCs. (A) The secretion of progesterone in hTERT-GGCs treated with 0, 0.01, 0.1 and 1 μM Tg for 12 h was measured using an ELISA kit. (B) Key genes related to steroidogenesis (StAR, CYP11A1, and 3β-HSD) were measured by real-time-PCR. Data presented are means ± SEM of three independent experiments. Bars with different letters are significantly different (P < 0.05).

Discussion

Recent studies have shown that the immortalization of cells such as goat Leydig cells, goat luteal cells, myoblasts, human gingival epithelial cells, human germline stem cells, and human ovary surface epithelial cells can be achieved by induction of CDK4R24C, Cyclin D1, or hTERT and maintaining an intact genome [16, 34,35,36,37,38,39]. Here, we present the successful establishment of an immortalized steroidogenic goat granulosa cell line, hTERT-GGCs, derived from primary GGCs by transfection with the hTERT gene. hTERT-GGCs possess phenotypic characteristics of primary goat granulosa cells, as demonstrated by the detection of similar expression levels of a number of steroidogenesis-related enzymes, including StAR, CYP11A1, CYP19A1, and ESR. In addition, we observed that hTERT-GGCs maintained a similar morphological appearance as primary GGCs and secreted normal levels of progesterone. Our research indicated that this cell line could serve as a model with which to study molecular mechanisms regulating steroidogenesis and apoptosis. Previous studies have confirmed that cellular senescence is related to telomere DNA loss. However, hTERT can reactivate telomerase and prevent telomeric DNA loss [40,41,42,43,44]. Moreover, the overexpression of hTERT can increase the proliferation potential of cells by allowing cells to obtain a remarkably higher growth rate and escape cellular senescence. Previous studies have demonstrated that cells transfected with hTERT preserve a similar characteristic and morphology of freshly isolated primary cells [45, 46]. In our study, we used hTERT to successfully establish a goat granulosa cell line. The hTERT-GGCs expressed hTERT at passages 30 and 50 as measured by RT-PCR and immunofluorescence. In addition, we confirmed that hTERT-GGCs had longer telomeres than GGCs, by RT-PCR. However, using a soft agar assay, a common method to identify oncogenicity, and proliferation assays we found no evidence of any malignant phenotype associated with the higher growth rate of hTERT-GGCs. We also compared the mRNA expression levels of some genes related to steroidogenesis and steroidogenic enzymes in GGCs and hTERT-GGCs. We observed consistent steroidogenic phenotypes in GGCs and hTERT-GGCs, as measured by similar mRNA expression levels of StAR, CYP11A1, and CYP19A1. These results support the assertion that hTERT-GGCs maintain a normal phenotype, even though the expression of StAR in hTERT-GGCs at passage 50 decreased, compared with its expression at passage 30. Furthermore, our data suggest that the estrogen receptors ESR1 and ESR2 function properly in hTERT-GGCs. LHCGR, which is involved in steroidogenesis, is normally expressed in hTERT-GGCs [47]. Additionally, CYP17A1, the standard marker of thecal contamination of granulosa cell preparations and plays an important role in androstenedione synthesis, was expressed in hTERT-GGCs [48]. While some scholars agree that CYP17A1 is only expressed in theca cells and that GCs do not express CYP17A1 [49], it has been suggested that the expression of CYP17A1 can be detected in GCs [5]. Others studies have documented the relationship between FSHR expression and luteinization in humans and bovine. For example, downregulated FSHR expression indicates the initiation of GC luteinization [32, 49, 50]. In our studies, FSHR expression in hTERT-GGCs was low. Interestingly, a previous study reported that granulosa cells undergo functional luteinization when cultured in medium with serum [16]. The lack of FSHR expression in luteinized GCs might be consistent with this observation. This phenomenon underscores the fact that the hTERT-GGCs can be used as a model of early luteinizing granulosa cells. The secretion of estradiol did not dramatically increase in hTERT-GGCs after stimulation with FSH. Therefore, the concentration of estradiol measured in GGCs was higher than that measured in hTERT-GGCs. A previous study showed that FSH treatment stimulates CYP19A1 activity and subsequent estradiol production [51]. StAR is considered to be the rate-limiting factor in steroid hormone synthesis [52]. We assumed that the relatively low level of FSHR and StAR affects estradiol production in hTERT-GGCs, although we did not observe downregulation of CYP19A1 at the mRNA level. In contrast, hTERT-GGCs secreted high levels of progesterone. Therefore, hTERT-GGCs appear to have functional luteinization, characterized by decreased estradiol levels and a sustained increase in progesterone throughout the culture period. It is important to point out that this phenomenon may be induced by serum [16]. For example, the culture conditions for granulosa cells supplemented with serum can induce granulosa cell differentiation. The serum itself already contains unknown ingredients including a variety of hormones, nutrients, and undefined growth factors that mainly cause granulosa cells to proliferate and luteinize [53]. Therefore, GGC culture conditions without serum need to be formally explored in future studies. In animal cells the ER is an important organelle involved in protein folding and synthesis [54]. Cell stress or environmental change can destabilize intracellular homeostasis, leading to the accumulation of unfolded proteins and induce ERS [55]. Consequently, UPR is initiated to decrease ERS and restore homeostasis. GRP78 is a marker for ERS that interacts with three UPR signal transduction pathways [56]. IRE1, a dual-activity enzyme, dissociates from GRP78 and undergoes autophosphorylation to activate endoribonuclease activity and cleavage of downstream proteins [57]. CHOP is involved in the ERS induced apoptosis pathway, and functions to promote apoptosis under severe ERS [58]. Previous studies have reported that the three UPR-related signaling pathways are involved in the lifespan of the corpus luteum (CL) during the bovine estrous cycle [59]. Furthermore, heat-induced ERS affected testosterone production and steroidogenic enzyme expression in the Leydig cells of mice [60]. These results suggest that ERS can affect hormone secretion and the expression of steroidogenic enzymes in the secretory cells. Since granulosa cells are a type of endocrine secretory cell, we believed that some stimuli that produce ERS might affect the biosynthesis of estradiol and progesterone. In this study, Tg treatment increased the protein levels of phospho-IRE1α, GRP78, and CHOP, suggesting that Tg can induce ERS in hTERT-GGCs in a dose-dependent manner. Moreover, with increasing doses of Tg, the concentration of progesterone was reduced in hTERT-GGCs, and steroidogenic enzyme expression was significantly decreased. Taken together, our results provide evidence that ERS inhibits the secretion of steroid hormones and the expression of steroidogenic enzymes in granulosa cells. However, further experiments need to be conducted to explore the mechanism by which UPR signal transduction pathways suppress the secretion of steroid hormones. In conclusion, we established a stable immortalized goat granulosa cell line using hTERT. This cell line retained the same morphology, phenotype, and similar steroidogenic properties as goat primary granulosa cells. We believe that this cell line could be useful for studying the molecular mechanisms regulating steroidogenesis and apoptosis. In addition, treatment with Tg reduced progesterone production and decreased expression of steroidogenic enzymes in hTERT-GGCs, suggesting that Tg induced ERS.
  59 in total

1.  Establishment and evaluation of a stable steroidogenic goat Leydig cell line.

Authors:  Jinhua Zhou; Rui Dai; Lanjie Lei; Pengfei Lin; Xiaolong Lu; Xiangguo Wang; Keqiong Tang; Aihua Wang; Yaping Jin
Journal:  Anim Sci J       Date:  2015-10-14       Impact factor: 1.749

2.  Extracellular signal-regulated kinases (ERK) 1, 2 are required for luteinizing hormone (LH)-induced steroidogenesis in primary Leydig cells and control steroidogenic acute regulatory (StAR) expression.

Authors:  Nadine Martinat; Pascale Crépieux; Eric Reiter; Florian Guillou
Journal:  Reprod Nutr Dev       Date:  2005 Jan-Feb

3.  Telomeres shorten during ageing of human fibroblasts.

Authors:  C B Harley; A B Futcher; C W Greider
Journal:  Nature       Date:  1990-05-31       Impact factor: 49.962

4.  Testosterone production by a Leydig tumor cell line is suppressed by hyperthermia-induced endoplasmic reticulum stress in mice.

Authors:  Jung-Hak Kim; Sun-Ji Park; Tae-Shin Kim; Jin-Man Kim; Dong-Seok Lee
Journal:  Life Sci       Date:  2015-12-29       Impact factor: 5.037

5.  Expression of ER stress markers (GRP78/BiP and PERK) in adenoid cystic carcinoma.

Authors:  Kyoichi Kaira; Minoru Toyoda; Akira Shimizu; Masato Shino; Koichi Sakakura; Yukihiro Takayasu; Katsumasa Takahashi; Takayuki Asao; Kazuaki Chikamatsu
Journal:  Acta Otolaryngol       Date:  2015-09-14       Impact factor: 1.494

6.  Oncogenic transformation of human ovarian surface epithelial cells with defined cellular oncogenes.

Authors:  Rumi Sasaki; Mako Narisawa-Saito; Takashi Yugawa; Masatoshi Fujita; Hironori Tashiro; Hidetaka Katabuchi; Tohru Kiyono
Journal:  Carcinogenesis       Date:  2009-01-06       Impact factor: 4.944

Review 7.  ER stress, hypoxia tolerance and tumor progression.

Authors:  Constantinos Koumenis
Journal:  Curr Mol Med       Date:  2006-02       Impact factor: 2.222

Review 8.  The Unfolded Protein Response in Homeostasis and Modulation of Mammalian Immune Cells.

Authors:  Ana Sofia Martins; Inês Alves; Luisa Helguero; Maria Rosário Domingues; Bruno Miguel Neves
Journal:  Int Rev Immunol       Date:  2016-04-27       Impact factor: 5.311

9.  Herp depletion arrests the S phase of the cell cycle and increases estradiol synthesis in mouse granulosa cells.

Authors:  Fenglei Chen; Nan Wang; Diqi Yang; Xin Wen; Tagwa Norain Mahmoud; Dong Zhou; Keqiong Tang; Pengfei Lin; Aihua Wang; Yaping Jin
Journal:  J Reprod Dev       Date:  2016-01-15       Impact factor: 2.214

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

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  8 in total

1.  Transcriptome Analysis Reveals Key miRNA-mRNA Pathways in Ovarian Tissues of Yunshang Black Goats With Different Kidding Numbers.

Authors:  Yufang Liu; Zuyang Zhou; Siwu Guo; Kunyu Li; Peng Wang; Yekai Fan; Xiaoyun He; Yanting Jiang; Rong Lan; Shuangzhao Chen; Shenghong Dai; Qionghua Hong; Mingxing Chu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-19       Impact factor: 6.055

2.  Knockdown of XBP1 by RNAi in Mouse Granulosa Cells Promotes Apoptosis, Inhibits Cell Cycle, and Decreases Estradiol Synthesis.

Authors:  Nan Wang; Fan Zhao; Pengfei Lin; Guangle Zhang; Keqiong Tang; Aihua Wang; Yaping Jin
Journal:  Int J Mol Sci       Date:  2017-05-29       Impact factor: 5.923

3.  Sigma-1 receptor is involved in diminished ovarian reserve possibly by influencing endoplasmic reticulum stress-mediated granulosa cells apoptosis.

Authors:  Lile Jiang; Jinquan Cui; Cuilian Zhang; Juanke Xie; Shaodi Zhang; Dongjun Fu; Wei Duo
Journal:  Aging (Albany NY)       Date:  2020-05-14       Impact factor: 5.682

4.  BCL2L15 Depletion Inhibits Endometrial Receptivity via the STAT1 Signaling Pathway.

Authors:  Diqi Yang; Ai Liu; Yanqin Wu; Bin Li; Sha Nan; Ruiling Yin; Hongmei Zhu; Jianguo Chen; Yi Ding; Mingxing Ding
Journal:  Genes (Basel)       Date:  2020-07-17       Impact factor: 4.096

5.  Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase.

Authors:  Xian Zou; Tingting Lu; Zhifeng Zhao; Guangbin Liu; Zhiquan Lian; Yongqing Guo; Baoli Sun; Dewu Liu; Yaokun Li
Journal:  BMC Genomics       Date:  2020-03-30       Impact factor: 3.969

6.  Establishment of A Reversibly Inducible Porcine Granulosa Cell Line.

Authors:  Yinshan Bai; Cui Zhu; Meiying Feng; Bo Pan; Shouquan Zhang; Xiaoshu Zhan; Huifang Chen; Bingyun Wang; Julang Li
Journal:  Cells       Date:  2020-01-08       Impact factor: 6.600

7.  Transcriptome Analysis Reveals miR-302a-3p Affects Granulosa Cell Proliferation by Targeting DRD1 in Chickens.

Authors:  Yufang Liu; Zuyang Zhou; Hui Zhang; Haiyin Han; Junqi Yang; Wenting Li; Kejun Wang
Journal:  Front Genet       Date:  2022-03-30       Impact factor: 4.599

8.  Essential Role of CRIM1 on Endometrial Receptivity in Goat.

Authors:  Diqi Yang; Ai Liu; Yanyan Zhang; Sha Nan; Ruiling Yin; Qianghui Lei; Hongmei Zhu; Jianguo Chen; Li Han; Mingxing Ding; Yi Ding
Journal:  Int J Mol Sci       Date:  2021-05-18       Impact factor: 5.923

  8 in total

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