Abstract
Recently, secreted microRNAs (miRNAs) have received a lot of attention since they may act as autocrine factors. However, how secreted miRNAs influence embryonic development is still poorly understood. We identified 294 miRNAs, 114 known, and 180 novel, in the conditioned medium of individually cultured bovine embryos. Of these miRNAs, miR-30c and miR-10b were much more abundant in conditioned medium of slow cleaving embryos compared to intermediate cleaving ones. MiR-10b, miR-novel-44, and miR-novel-45 were higher expressed in the conditioned medium of degenerate embryos compared to blastocysts, while the reverse was observed for miR-novel-113 and miR-novel-139. Supplementation of miR-30c mimics into the culture medium confirmed the uptake of miR-30c mimics by embryos and resulted in increased cell apoptosis, as also shown after delivery of miR-30c mimics in Madin-Darby bovine kidney cells (MDBKs). We also demonstrated that miR-30c directly targets Cyclin-dependent kinase 12 (CDK12) through its 3′ untranslated region (3′-UTR) and inhibits its expression. Overexpression and downregulation of CDK12 revealed the opposite results of the delivery of miRNA-30c mimics and inhibitor. The significant down-regulation of several tested DNA damage response (DDR) genes, after increasing miR-30c or reducing CDK12 expression, suggests a possible role for miR-30c in regulating embryo development through DDR pathways.
Keywords: bovine embryos, secreted miRNAs, miR-30c, CDK12, cell cycle, DNA damage response, individual in vitro production
Introduction
Many studies have indicated that the timing of cell division during the early embryonic stages is crucial for normal development and can be used as an indicator of embryo development competence (Fenwick et al., 2002; Zernicka-Goetz, 2002, 2006; Plusa et al., 2005; Hiiragi et al., 2006; Terriou et al., 2007). For example, the delay of cell division might be a consequence of chromosomal aberrations and DNA damage (Milewski et al., 2018) and slow cleaving embryos have a higher caspase activity in comparison to fast cleavers (Vandaele et al., 2007). In general, faster cleaving embryos have a significantly higher probability of reaching advanced developmental stages compared to slower cleaving embryos (Van Soom, 1997; Meirelles et al., 2004; Vandaele et al., 2006), while some studies also demonstrated that cleaving divisions that are too fast or too slow are indicative of poor embryo quality (Market Velker et al., 2012; Gutierrez-Adan et al., 2015). During these early embryonic stages, miRNA levels undergo dynamic changes (Mineno et al., 2006; Tang et al., 2007; Yang et al., 2008; Viswanathan et al., 2009; Goossens et al., 2013), indicating their potential role in embryonic development.
With this study we wanted to investigate if one or more miRNAs have potential as a non-invasive biomarker for preimplantation developmental competence according to cleavage patterns and blastocyst formation. It has been reported that miRNAs are not only localized intracellularly but also secreted via exosomes (Valadi et al., 2007). In addition, miRNAs have been reported to be transferable to other cells, and can be functional in the new location (Valadi et al., 2007; Sohel et al., 2013; Vilella et al., 2015). More specifically, they can be taken up into cells from the extracellular environment, leading to a corresponding endogenous miRNA increase in transfected cells. Recently, secreted miRNA expression was reported to correlate with developmental competence and sexual dimorphism in bovine (Kropp and Khatib, 2015; Gross et al., 2017) and human embryos (Rosenbluth et al., 2014). Although the precise mechanisms of miRNA release in the cellular environment are poorly understood, their selective secretion and high stability (resistant to RNase digestion and other harsh conditions) make miRNAs good candidates for use as biomarkers (Luo et al., 2009; Donker et al., 2012). Potential limitations for their use as biomarkers are their general low abundance, and the high sequence identity among family members.
miR-30 family members are involved in the regulation of p53-induced mitochondrial fission and cell apoptosis (Li et al., 2010). As a member of the miR-30 family, miR-30c has been shown to regulate the cell cycle and proliferation in human and mouse (Li et al., 2012; Quintavalle et al., 2013; Shukla et al., 2015; Liu et al., 2016). One of its potential targets as determined by our study is CDK12 mRNA. CDK12 is a protein kinase responsible for mature mRNA synthesis transcriptional elongation (Bartkowiak et al., 2010; Liang et al., 2015). This kinase has been reported to be crucial for the development of the inner cell mass in mouse embryos (Juan et al., 2016) and to maintain genomic stability as Cyclin K/CDK12 complex (Blazek et al., 2011) through regulating DDR genes. In this study, we demonstrated that miR-30c is secreted and taken up by bovine embryos and functions as a negative regulator of cell growth by targeting CDK12, indicating that miR-30c can be considered as a promising biomarker for bovine early embryonic development. These findings may provide new insights into understanding the regulatory role of secreted miRNAs in the process of intercellular communication.
Materials and Methods
In vitro Embryo Production and CM Collection
All animal handlings were approved by the Ethical Committee of the Faculty of Veterinary Medicine (EC2013/118) of Ghent University. All methods were performed in accordance with the relevant guidelines and regulations. Bovine blastocysts were produced according to the previously used routine in vitro fertilization (IVF) methods in our lab (Wydooghe et al., 2014a). Briefly, ovaries were collected from the local slaughterhouse and processed within 2 h. The collected ovaries were washed three times in warm physiological saline supplemented with 5 mg/ml kanamycin (GIBCO-BRL Life Technologies, Merelbeke, Belgium). Subsequently, cumulus oocytes complexes were aspirated from 4 to 8 mm diameter follicles and cultured in groups of 60 in 500 μl maturation medium-containing TCM199 (Life Technologies, Ghent, Belgium) supplemented with 20% heat-inactivated fetal bovine serum (FBS) (Biochrom AG, Berlin, Germany) for 22 h at 38.5°C in 5% CO2 in the air. Frozen-thawed bovine spermatozoa from Holstein bulls were separated through a 45% and 90% Percoll gradient (GE healthcare Biosciences, Uppsala, Sweden). The final sperm concentration of 1 × 106 spermatozoa/ml was adjusted in IVF-Tyrode’s albumin-lactate-pyruvate (IVF-TALP), consisting of bicarbonate-buffered Tyrode solution supplemented with 6 mg/ml and 25 μg/ml heparin bovine serum albumin (BSA) (Sigma, Schnelldorf, Germany). Matured oocytes were washed in 500 μl IVF-TALP medium and were incubated with spermatozoa. After incubation for 21 h, presumed zygotes were vortexed for 3 min to remove spermatozoa and cumulus cells, washed with IVF-TALP and transferred to 20 μl drops of synthetic oviductal fluid supplemented with ITS (5 μg/ml Insulin + 5 μg/ml Transferrin + 5 ng/ml Selenium) and 4 mg/ml BSA. Culture occurred individually in drops of 20 μl, covered with mineral oil at 38.5°C in 5% CO2, 5% O2 and 90% N2.
Bovine embryos were divided into groups according to the first cleavage patterns, as described previously (Dinnyes, 1999; Amarnath et al., 2007; Sugimura et al., 2017). Time points of first cleavage [24.2–33.8 h post insemination (hpi)] were listed up and were divided in quartiles. The first quartile was considered as “fast,” the second and third quartiles were considered as “intermediate” and the last quartile was considered as “slow.” More specifically, individual droplets were viewed microscopically at two time points (26.6 and 31.4 hpi), and three groups were produced according to the embryos’ cleavage pattern: “fast” (cleavage occurred before 26.6 hpi), “intermediate” (cleavage occurred between 26.6 and 31.4 hpi) and “slow” (cleavage had not occurred yet at 31.4 hpi). Additionally, the developmental competence of each embryo was microscopically viewed and assessed at 8 days post insemination (dpi), enabling a division into two subgroups (degenerate embryos and blastocysts). Eventually, the embryos were divided into six groups: FB (fast cleaving blastocyst), IB (intermediate cleaving blastocyst), SB (slow cleaving blastocyst), FD (fast cleaving degenerate), ID (intermediate cleaving degenerate), and SD (slow cleaving degenerate). Conditioned medium of single embryos was collected (17.5 μl each droplet) and pooled for each of the six groups.
miRNA Extraction
At 8 dpi, the CM was collected and miRNA was extracted with the miRNeasy Serum/Plasma kit (Qiagen, Germantown, United States). To meet the miRNA-sequencing minimum concentration requirement, RNA was extracted from CM (three replicates of 3 mL each) and was concentrated with the RNeasy MinElute Cleanup kit (Qiagen, Germantown, United States). Finally, the quality and concentration of the RNA samples were examined using an RNA 6000 Pico Chip (Agilent Technologies, Carlsbad, CA, United States) and a Quant-iT RiboGreen RNA Assay kit (Life Technologies, Carlsbad, CA, United States), respectively. The total RNA isolated from CM ranged from 1.982 to 2.448 ng/μl. The FB and FD group were excluded because the required amount of secreted miRNAs from the IVF culture system for sequencing was not obtained.
Small RNA Library Construction and Deep Sequencing
Small RNA library construction was performed with the Tailormix v2 kit (SeqMatic, Fremont, CA, United States). The quality-ensured RNA-seq libraries were pooled and sequencing was performed in triplicate on the Illumina Miseq (NxtGnt sequencing facility, Gent, Belgium).
Small RNA-Sequencing Data Analysis and Differential Expression Analysis
Identification of known miRNAs, prediction of putative novel miRNAs and reading counting were done using the mirPRo pipeline (Shi et al., 2015). MicroRNA data from the miRBase (v21) (Griffiths-Jones et al., 2006) and the annotated cow genome (GCA_000003055.3) were used as reference. Differential expression between sample groups was statistically tested in R (Ihaka and Gentleman, 1996) with both EdgeR (Robinson et al., 2010) and DESeq2 (Love et al., 2014) via the SARTools wrapper (Varet et al., 2016). Two comparisons were made after RNA-Sequencing: IB vs. SB; (I + S) Degenerate vs. (I + S) Blastocysts. The results were considered statistically significant when the Benjamini-Hochberg corrected p-value was <0.05.
Pathway Analysis
The functional analysis of the differentially expressed genes between the groups was performed using DAVID (Huang et al., 2008, 2009) (predicted target genes as input) and miRWalk (Dweep and Gretz, 2015) (miR-30c and miR-10b as input) in terms of enrichment of gene ontologies (GO). In addition, a pathway analysis was performed using the KEGG database to identify the significant pathways affected by the differentially expressed miRNAs. The Benjamini-Hochberg corrected p-values <0.05 were considered statistically significant.
RT-qPCR
To verify the results of the miRNA sequencing, five mature miRNAs were quantified using RT-qPCR (real-time quantitative PCR). Accordingly, total RNA samples (including miRNAs) isolated from CM (three additional biological replicates of 200 μl each) were reverse transcribed using a miScript II RT kit (Qiagen, Germantown, MD, United States) and subsequently quantified with a miScript SYBR Green Kit containing 10 × miScript Universal Primer (Qiagen, Germantown, MD, United States). U6 (Mondou et al., 2012; Abd El Naby et al., 2013) was quantified to normalize miRNA expression levels.
To check the intracellular expression of the differentially released miRNAs and if miR-30c is taken up by embryos, miRNAs were quantified using RT-qPCR. Total RNA samples (including miRNAs) isolated from embryos (three replicates of approximate 5 embryos each) using the miRNeasy Mini kit (Qiagen, Germantown, United States) and reverse transcribed using a miScript II RT and subsequently quantified with a miScript SYBR Green Kit containing 10 × miScript Universal. U6 was quantified to normalize miRNA expression levels.
Additionally, embryos and MDBKs were used to analyze mRNA abundance of CDK12 and DDR genes. Total RNA samples were isolated from embryos (three replicates of approximate 5 embryos each) and MDBKs using the RNeasy Micro kit (Qiagen, Germantown, MD, United States) and reverse transcribed using the iScript cDNA synthesis kit (BioRad, Brussels, Belgium). The mRNA levels were quantified with a SsoAdvanced Universal SYBR Green Supermix kit (BioRad, Brussels, Belgium). GAPDH (Herrmann et al., 2013; Li et al., 2016), which has been proved to be a stable reference gene in our sample (data not shown), was quantified to normalize mRNA expression levels.
All reactions were performed in triplicate, and the 2-ΔΔCt method was used to analyze the data. The primer sequences used for RT-qPCR are listed in Supplementary Table S1.
miR-30c Mimics Supplementation to Embryos Culture Medium
Since individually cultured embryos have less tolerance when compared to group cultured embryos (Goovaerts et al., 2009; Wydooghe et al., 2014a,b) and they easily die after changing the culture environment, group culture was performed for miR-30c functional analysis instead of individual culture. The IVF embryos were produced according to the previously described protocol. This time, however, presumed zygotes were vortexed for 3 min after 21 h incubation, washed with IVF-TALP and transferred to drops of SOF supplemented with ITS, BSA and miR-30c mimics (chemically synthesized, double-stranded RNAs which mimic mature endogenous miRNAs after delivery to cells) or control mimics (chemically synthesized, double-stranded RNAs which have no homology to any known microRNA or mRNA sequences) (Qiagen, Germantown, United States) with a final concentration of 1 μM according to the instructions. Culture occurred in groups of 25 in drops of 50 μl, covered with mineral oil at 38.5°C in 5% CO2, 5% O2, and 90% N2. On 8 dpi, blastocyst rates were calculated. Blastocysts were collected for RT-qPCR or assessed with apoptosis staining.
TUNEL Staining and Differential Apoptotic Staining
TUNEL staining was performed using a previously described protocol (Ortiz-Escribano et al., 2017) with an in situ cell death detection kit (Sigma, St. Louis, MO, United States). Briefly, ∼20 blastocysts for each group were collected and fixed in 4% paraformaldehyde at room temperature (RT) for 1 h, and then permeabilized in 0.1% Triton X-100 at RT for 10 min. Afterward, blastocysts were stained with 20 μl TUNEL mixture for 1 h at 37C and subsequently stained with 10 μg/ml DAPI for 10 min. The embryos were mounted on the slides and were examined using a 20× water immersion objective on a Leica TCS-SP8 X confocal microscope (Leica microsystems, Wetzlar, Germany). The apoptosis ratio was expressed as the total number of TUNEL-positive cells relative to the total number of the cells per blastocyst.
Differential apoptotic staining was performed using previously described protocols (Wydooghe et al., 2011; Lu et al., 2019). The first day, ∼20 blastocysts for each group were fixed in 4% paraformaldehyde for 1 h and put in a 4-well dish in permeabilization solution (0.5% Triton X-100 + 0.05% Tween) in phosphate buffered saline (PBS) at RT for 1 h. After washing the blastocysts 3 times during 2 min in PBS-BSA, they were incubated in 2N HCl at RT for 20 min and then in 100 mM Tris–HCl at RT for 10 min. The blastocysts were washed (3 times during 2 min) and then put into 500 μl of blocking solution at 4C overnight. The second day, the blastocysts were washed again (3 times during 2 min) and incubated in primary CDX-2 antibody (Biogenex, San Ramon, United States) at 4C overnight. On the third day, the blastocysts were washed twice for 15 min and subsequently incubated in blocking solution containing the rabbit active caspase-3 antibody (Cell Signaling Technology, Leiden, Netherlands) overnight at 4C. On day four, the blastocysts were incubated in blocking solution containing the goat anti-mouse Texas Red antibody at RT for 1 h and were subsequently incubated in blocking solution containing the goat anti-rabbit FITC antibody at RT for 1 h. The blastocysts were washed twice for 15 min and incubated at RT for 20 min in a dilution 1: 200 Hoechst in PBS-BSA in the dark. All slides were examined using a 63 × water immersion objective on a Leica TCS-SP8 X confocal microscope. The apoptosis ratio was expressed as the total number of Caspase-3-positive cells relative to the total number of the cells per blastocyst.
Plasmid Construction
The full-length coding sequence of CDK12 (4473 bp) (NM_001205701.1) was amplified from MDBK cDNA and was inserted into a pEGFP-N1 vector via NheI and XhoI sites for construction of the CDK12-overexpressing vector. The empty vector (mock) was used as a negative control. The CDK12 3′-UTR (282 bp) containing the predicted miR-30c binding site was amplified from bovine genomic DNA and inserted into a psi-CHECK2 vector (Promega, Madison, United States) via NotI and XhoI sites and confirmed by sequencing. To test whether the predicted miR-30c target site in the CDK12 3′-UTR is critical for the miR-30c-mediated repression of CDK12 expression, the seed sequence of the predicted miR-30c’s binding site was changed (Wu et al., 2017; Figure 4A). Primers for vector construction are listed in Supplementary Table S1.
Dual-Luciferase Reporter Assay
The miR-30c mimics/control mimics and luciferase reporter plasmids were co-transfected into HEK293T cells using Lipofectamine 2000 (Invitrogen, Carlsbad, United States). After 24 h of transfection, the Renilla and Firefly luciferase were assayed using the Dual Luciferase Reporter Kit (Promega, Madison, WI, United States).
Cell Culture and Transfection
The HEK293T cells and MDBK cells were cultured at 37C in 5% CO2 in DMEM media (Thermo Fisher Scientific, Waltham, MA, United States) supplemented with 10% FBS (VWR, Radnor, United States), 100 U/ml penicillin and 100 mg/ml streptomycin. miR-30c mimics/inhibitor and their negative controls were delivered into MDBK cells using Hiperfect reagent (Qiagen, Germantown, MD, United States) following the manufacturer’s instructions. The short-interfering RNA (siRNA) targeting CDK12 and a non-target control siRNA (si-NTC) were purchased from Qiagen (Germantown, MD, United States). SiRNA or the overexpressing vector was transfected into MDBK cells using Lipofectamine 2000 according to the manufacturer’s instructions. Protein or total RNA were extracted for western blotting (WB) or RT-qPCR 48 or 24 h after transfection.
Western Blotting
Cells were collected after 48 h of transfection and lysed using Radioimmunoprecipitation lysis buffer consisting of 50 mM Tris–HCl (pH 7.5), 150 mM NaCl, 0.1% SDS, 1% NP-40, 0.5% sodium deoxycholate and protease inhibitors. The samples were denatured at 100C for 10 min before loading onto 10% SDS-polyacrylamide gels. Separated proteins were then transferred onto nitrocellulose membranes and blocked with 5% non-fat milk in PBS with 0.1% Tween-20 for overnight. Membranes were then incubated overnight with 1/1000 rabbit anti-CDK12 (Novus Biologicals, Abingdon, United Kingdom) and 1/1000 rabbit anti-β-actin (Novus Biologicals, Abingdon, United Kingdom). After three washes, the membranes were incubated with HRP-conjugated goat anti-rabbit IgG (H + L) (Novus Biologicals, Abingdon, United Kingdom) for 2 h at room temperature. Signals were revealed by autograph using SuperSignal West Femto Maximum Sensitivity Substrate (Thermo Fisher Scientific, Waltham, United States).
Cell Cycle Assays: PI Staining and Flow Cytometry
Madin-Darby bovine kidney cells were cultured in 6-well plates for 48 h after transfection and were stained with propidium iodide (PI) at a final concentration of 50 μg/ml PI and 100 μg/ml RNase A in PBS. Then, the cells were analyzed using AccuriTM C6 flow cytometry (BD, Erembodegem, Belgium) collecting 50000 events. All experiments were replicated three times.
Cell Proliferation Assays: WST-1 Colorimetric Assay
WST-1(4-(3-(4-iodophenyl)-2-(4-nitrophenyl)-2H-5-tetrazolio)-1,3-benzene disulfonate) (Merck, Kenilworth, United States) was used for cell proliferation analysis. The assay was performed using 96-well plates with ∼20000 cells. After 48 h of transfection, 10 μl of WST-1 was added to 90 μl samples. The samples were measured at 450 nm wavelength (570 nm as a reference wavelength) using an EZ read 400 microplate reader (Biochrom, Holliston, United States). Cell viability was then calculated by comparing the absorbance values of sample groups after background subtraction. All experiments were replicated three times.
Statistical Analysis
The data are presented as mean ± S.D and derived from at least three independent experiments. The statistical analyses were performed using ANOVA followed by Tukey’s test or Student’s t test. For each analysis, P < 0.05 was considered significant.
Results
Intermediate Cleaving Embryos Result in a Higher Blastocyst Rate Compared to Slow Cleaving Embryos
According to the timing of the first cell division, 1808 individually cultured embryos for each of three replicate were labeled as either fast, intermediate or slow cleaving and evaluated at 8 dpi for developmental competence. Intermediate embryos produced significantly (P = 0.027) more blastocysts in comparison to the slow embryos (41.16 and 18.7%, respectively; Figure 1). No statistically distinctive differences (P = 0.24) were found between fast and intermediate cleaving embryos (50.65 and 41.16%, respectively; Figure 1). The fast group was excluded for sequencing because not enough RNA was obtained due to the low number of embryos belonging to this group.
miRNAs Secreted by Bovine Embryos
In total 294 miRNAs were found in conditioned media (CM) after sequencing (MicroRNAs sequencing data are available in the GEO database under the accession number PRJNA492220): 114 known miRNAs and 180 potential novel miRNAs. The uncorrected p-value was indicative of differential secretion from embryos with different cleavage patterns and different development competences for the following miRNAs: miR-30c and miR-10b were secreted more in slow cleaving embryos’ CM compared with the CM of intermediate cleaving embryos; miR-10b, miR-novel-44, and miR-novel-45 were more abundant in CM from degenerate embryos than in that of blastocysts, while miR-novel-113 and miR-novel-139 were more abundant in blastocyst’s CM than degenerate’s CM (Table 1). However, with the low sample size, due to the practical difficulty to obtain enough CM, it was unsurprising that none of the differences remained significant after multiple testing with the Benjamini-Hochberg corrected p-value. Consequently, the sequencing results of 5 of the 6 above mentioned miRNAs were confirmed using RT-qPCR (novel-miR-44 has the same mature sequence as novel-miR-45) (Figure 2). RT-qPCR showed that miR-30c and miR-10b have an 18 (P = 0.00072) and 30 (P = 0.00017) fold higher expression in the CM from slow cleaving embryos in comparison to intermediate cleaving embryos (Figure 2A,B). The expression levels of both these two miRNAs in the CM of fast cleaving embryos and intermediate cleaving embryos showed no significant difference (Figure 2A,B). MiR-10b and novel-miR-45 showed a 55 (P = 0.00000) and 8 (P = 0.0068) fold higher expression in the CM from degenerate embryos compared to blastocysts (Figure 2C). Novel-miR-113 and novel-miR-139 displayed, respectively 14 (P = 0.0027) and 22 (P = 0.00033) fold higher expression in the CM of blastocysts than in that of degenerate embryos (Figure 2D). In addition, miR-30c was found to be 20 (P = 0.00067) times more abundant in CM compared to control media (Figure 2E).
Table 1.
(I + S) Degenerate embryos vs. (I + S) Blastocysts | |||
---|---|---|---|
Name | Fold Change | p-value | Benjamini-Hochberg corrected p-value |
bta-miR-10b | 3.047 | 0.006246833 | 0.224885994 |
bta-novel-miR-113 | 0.268 | 0.012946778 | 0.233041999 |
bta-novel-miR-45 | 3.934 | 0.031555548 | 0.255968877 |
bta-novel-miR-44 | 3.969 | 0.034171109 | 0.255968877 |
bta-novel-miR-139 | 0.124 | 0.035551233 | 0.255968877 |
SB vs. IB | |||
bta-miR-30c | 17.857 | 0.041729634 | 0.707989068 |
bta-miR-10b | 3.831 | 0.048368042 | 0.707989068 |
The intracellular miRNAs expression was also validated using RT-qPCR and similar results were obtained. miR-30c and miR-10b have a 13 (P = 0.0031) and 21 (P = 0.00044) times higher expression in slow cleaving embryos in comparison to intermediate cleaving embryos (Figure 2F). MiR-10b and novel-miR-45 show a 37 (P = 0.0004) and 5 (P = 0.0081) times higher expression in degenerate embryos compared to blastocysts (Figure 2G). Novel-miR-113 and novel-miR-139 displayed 18 (P = 0.00091) and 7 (P = 0.0062) times higher expression in blastocysts than degenerate embryos (Figure 2H).
Pathway Analysis
Examination of the GO analysis results of the differentially expressed miRNAs between IB and SB revealed that 11 biological processes, among which “in utero embryonic development,” “cell cycle,” “fibroblast growth factor receptor signaling pathway,” and “Notch signaling pathway” were over-represented (Figure 3A). Additionally, 16 KEGG pathways, with as top hits: the p53 signaling pathway, the Wnt signaling pathway, the TGF-beta signaling pathway and apoptosis were over-represented (Figure 3B). These GO-terms and pathways enriched with targets provide an intriguing clue to the biological consequences of miRNAs differential secretion from embryos with different cleavage patterns.
miR-30c Mimics Can Be Taken Up by Bovine Embryos and Increase Embryo Apoptosis
miR-30c has been shown to regulate cell cycle and proliferation in human breast cancer cells, glioma cells, hematopoietic cells, osteoblast cells and mice embryonic carcinoma cells (Li et al., 2012; Quintavalle et al., 2013; Shukla et al., 2015; Liu et al., 2016), thus, combining the above sequencing/RT-qPCR results with information from the literature we hypothesized that miR-30c can be taken up by embryos and might influence embryonic development through regulation of the cell cycle. To test this hypothesis, we added the miR-30c mimics into the IVF culture medium at 21 hpi, thus allowing miR-30c mimics to influence embryos for at least 5 to 10 h before they reach the 2-cell stage (26–31 hpi). RT-qPCR results showed that the miR-30c levels were approximate 80 times higher in miR-30c mimics treated embryos compared to the control mimics group (Figure 4A), indicating that miR-30c was taken up by the embryos.
No significant difference was found in blastocyst rate between miR-30c mimics group and control mimics group (Figure 4B). However, TUNEL staining showed that the miR-30c mimics group had an apoptosis rate of 12.86% whereas that of the control mimics group was 5.05% (Figure 4C,D). Similarly, differential apoptotic staining showed that the miR-30c mimics group had an apoptosis rate of 11.85% whereas that of the control mimics group was 4.05% (Figure 4E,F).
miR-30c Directly Targets Cell Progression Regulator CDK12
Different miRNA target prediction methods may produce different results, thus we adopted the method from Ozen (Ozen et al., 2007) and Li (Li et al., 2011). If a target was identified by at least three of six used different algorithms (TargetScan, miRDB, PicTar, miRanda, miRWalk and Tarbase), it was considered likely to be a miRNA target. Of the putative target genes identified in this way, CDK12 (identified by Targetscan, miRDB and miRanda) was chosen for further analysis. This gene was previously shown to be required for the prevention of apoptosis (Bartkowiak et al., 2015; Juan et al., 2016) and to protect cells from genomic instability and inhibit cell differentiation (Blazek et al., 2011; Dai et al., 2012) through the regulation of DDR genes in human and mouse. The 3′-UTR segment of the bovine CDK12 gene containing the putative miR-30c target binding site region (Figure 5A) was amplified and cloned into luciferase reporter vector psi-CHECK2 and subsequently transfected to HEK293T cells. As shown in Figure 5B, the miR-30c mimics dramatically suppressed the activities of wild-type (WT) 3′-UTRs of CDK12, while the mutated 3′-UTR binding site (MUT) was unaffected. To further confirm the regulatory relationship between miR-30c and CDK12, RT-qPCR, and WB were performed to determine the CDK12 mRNA and protein levels in MDBKs. The results showed that CDK12 was suppressed by miR-30c mimics and enhanced by miR-30c inhibitors at the protein level (Figure 5C) rather than the mRNA level (Figure 5D). The direct target relationship was also analyzed in embryos: miR-30c mimics were supplemented into embryos culture medium and then CDK12 expression was evaluated using RT-qPCR and WB. Not surprisingly, embryos showed the similar results as MDBKs (Figure 5E,F). Collectively, these results show that miR-30c directly targets CDK12 and inhibits its translation instead of degrading mRNA.
miR-30c Overexpression and CDK12 Downregulation Direct Transcription of Key DDR Genes
Given that CDK12 is involved in DNA repair (Paculová et al., 2017) and has been proven to be a target gene inhibited by miR-30c in our study, we hypothesized that miR-30c may suppress cell cycle progression by inhibiting DDR pathways. A previous study on mouse embryos showed that four DDR genes, namely Brca1, Fancd2, Fanci, and Atr, had a reduced expression in the absence of CDK12 (Juan et al., 2016). To our knowledge, in bovine, the relationship among miR-30c, CDK12, and DDR pathway has not been investigated yet. Here we examined the expression of these four genes using RT-qPCR after supplementing miR-30c mimics into embryos culture medium and modulating CDK12 expression in MDBKs. As shown in Figure 6A, the delivery of miR-30c significantly decreased mRNA levels of all four investigated DDR genes BRCA1, FANCD2, FANCI, and ATR in embryos. As shown in Figure 6B, downregulation of CDK12 also significantly decreased mRNA levels of the above four genes. We also examined the expression of DDR genes after overexpressing CDK12 using the previously mentioned vector construct. As shown in Figure 6C, overexpression of CDK12 did not have a significant effect on the mRNA level of these DDR genes.
miR-30c Suppresses the Cell Cycle, While CDK12 Promotes the Cell Cycle
Although miR-30c has been shown to regulate cell progression in human and mouse (Quintavalle et al., 2013; Liu et al., 2016), this regulatory relationship is still unclear in bovine cells. Considering the fact that the compaction of embryos makes it difficult to use them for flow cytometry analysis, further studies were performed using the bovine cell line MDBKs. PI staining was used to determine the effect of miR-30c mimics or inhibitors on the MDBK cell cycle. As shown in Figure 7A, cell cycle phase distribution determined by flow cytometry displayed 8% increase of treated cells in the G1 phase after delivery of miR-30c mimics, indicating the cell growth suppression, while delivery of miR-30c inhibitors resulted in an 8% decrease of cells in G1 phase.
CDK12 expression was assessed after siRNA or vector transfection. RT-qPCR (Figure 7C) and WB (Figure 7D) showed that CDK12 expression was indeed upregulated by the vector construct and downregulated by siRNA at transcriptional level, showing their usefulness for the next experiments. Transfection of the CDK12 overexpressing construct resulted in an 8% decrease of cells in the G1 phase compared with the control group, whereas knockdown of CDK12 using siRNA resulted in a 20% increase of cells in the G1 phase and a 15% decrease in the S phase compared with si-NTC (Figure 7E).
miR-30c Decreases Cell Viability, While CDK12 Increases Cell Viability
The MDBKs cellular metabolic activity, indicative of the cell proliferation, was monitored after addition of miR-30c mimics or inhibitors using the WST-1 assay. As shown in Figure 7B, miR-30c mimics led to a significant decrease in cell viability (37%), while miR-30c inhibitors increased cell viability (57%).
As shown in Figure 7F, CDK12 overexpression increased cell viability (84%), while CDK12 inhibition led to a 49% decrease in cell viability.
Discussion
Timing of cleavage is regarded as an important marker to assess embryo quality (Gutierrez-Adan et al., 2015) and it has been shown that rapid cleaving embryos are of better quality than slower cleaving embryos (Meirelles et al., 2004; Vandaele et al., 2006). Because it has been demonstrated that an embryo’s potential is determined more in the early developmental stages than in later developmental stages (Wong et al., 2010; Milewski and Ajduk, 2017; Milewski et al., 2018), we chose the 2-cell stage to assess the samples regarding evaluation of embryos quality, instead of the 4-cell stage or the morula stage. In our study, fast and intermediate cleaving embryos produced significantly more blastocysts compared to the slow cleaving embryos (50.65 and 41.16% vs. 18.7%), confirming the above theory.
In addition to their intracellular function, secreted miRNAs may play a significant role in intercellular communications (Vickers et al., 2011; Boon and Vickers, 2013; Yang et al., 2018). However, the dynamics of miRNA secretion and their transfer mechanisms are still poorly understood. Secreted miRNAs have been found to be related to cell growth, invasion, migration, dissemination as well as metastasis and impairment of the immune system response (Schwarzenbach et al., 2014). Furthermore, they have potential as biomarkers for cancer and benign diseases, thus raising the questions whether and how secreted miRNAs influence embryo development and if they can be used as non-invasive biomarkers for embryo quality. Given the current methods for miRNA detection, the main limitation is the low abundance of miRNAs in CM. However, miRNAs secreted by a single human embryo have been successfully detected and extracted (Capalbo et al., 2016), indicating the potential application for bovine embryos. In our study, to obtain a sufficient amount of miRNAs for sequencing, we concentrated the CM from 167 embryos for each replicate and thus achieved at least 1 million raw reads. The potential of secreted miRNAs as biomarkers relies mainly on their high stability and their capacity to reflect embryo developmental status and their prognostic abilities in relation to IVF success and pregnancy outcome. Although there are several recent studies focusing on miRNAs in culture media (Rosenbluth et al., 2014; Kropp and Khatib, 2015) and body fluids, such as follicular fluid (Sohel et al., 2013) and endometrium (Vilella et al., 2015), providing an indication of the developmental competence of embryos, improvements in detection techniques and more knowledge of the miRNA signaling is needed in order to use secreted miRNA as biomarkers in embryonic development. In addition, not only technical aspects currently limit the use of secreted miRNAs as biomarkers in culture media and also in other body fluids; to date the source of secreted miRNAs is not clear. Therefore, more extensive studies are necessary to clarify whether secreted miRNAs detected in extracellular environment are the product of dead cells or are secreted in a tissue-specific manner. Furthermore, studies with large samples sizes are needed and some aspects of experimental reliability must be assessed before secreted miRNAs can be used as biomarkers.
Apart from the easy detection, a biomarker should be clearly discriminatory for the state to be defined, in casu the developmental competence of the embryo. Here, we demonstrated that miRNAs are differentially secreted from bovine embryos with different cleavage patterns and different qualities: miR-30c and miR-10b were differentially expressed between slow and intermediate cleaving embryos’ CM; miR-10b, miR-novel-113, miR-novel-44, miR-novel-45, and miR-novel-139 were differentially expressed between blastocyst’s and degenerate’s CM.
Among the differentially expressed miRNAs, miR-30c was found to be 18 times more abundant in slow cleaving embryos’ CM vs. intermediate cleaving embryos’ CM. This distinct difference makes it a suitable biomarker candidate for the developmental capacity of bovine early embryos. To gauge the effect of miR-30c uptake by bovine embryos in correlation with the cleavage pattern and the proposed roles of miR-30c in cell proliferation in mouse (Liu et al., 2016), cell apoptosis in human and mouse (Li et al., 2010; Quintavalle et al., 2013; Liu et al., 2016), cell differentiation in human and mouse (Karbiener et al., 2011; Wu et al., 2012) and cell damage in human (Li et al., 2012), apoptosis assays were performed. RT-qPCR results confirmed that miR-30c was indeed taken up by bovine embryos and they showed a higher apoptosis rate, which is in agreement with previous findings that miRNAs could be both released and taken up by embryos (Kropp and Khatib, 2015; Vilella et al., 2015; Gross et al., 2017). The effect was further investigated using the bovine cell line MDBK. The delivery of miR-30c mimics to the MDBKs led to reduced cell proliferation and an arrest at G1 stage, while the delivery of miR-30c inhibitors resulted in the opposite effects, as expected. Previous studies on human embryos suggested that miR-30c can serve as a potential marker of blastocyst implantation potential (Capalbo et al., 2016; Noli et al., 2016). This is not surprising because although miR-30c is highly conserved between different species, it has been shown to act differently among different species. For instance, miR-30c was found to increase cell proliferation in mouse embryonal carcinoma cells (Liu et al., 2016), while it was also found to be a tumor suppressor miRNA in human cancers (Poudel et al., 2013; Shukla et al., 2015).
We also demonstrated for the first time that miR-30c downregulates CDK12 expression at a post-transcriptional level both on bovine embryos and MDBKs. CDK12 is a transcription-associated CDK that exerts control over Pol II-mediated transcription (Ekumi et al., 2015) and is essential for splicing and differentiation (Chilà et al., 2016). Intriguingly, recent research has shown that CDK12 is essential for embryonic development and the maintenance of genomic stability by regulating the expression of DDR genes, and reduced expression of some of these DDR genes will subsequently trigger apoptosis (Juan et al., 2016; Chen et al., 2017). During early embryonic development, DNA replication is prominent and highly efficient DNA repair is crucial for proper embryo development. For instance, Atr- and Brca1-lacking embryos were reported to display growth retardation in mice (Liu, 1996; Brown and Baltimore, 2000). In our study, both the supplementation of miR-30c mimics into bovine embryos culture medium and the CDK12 knockdown in MDBKs caused a decreased expression level of key DDR genes BRCA1, FANCD2, FANCI, and ATR. These results present evidence that miR-30c overexpression or CDK12 downregulation reduces the expression of these DDR genes at the transcriptional level, leading to a potential failure of DNA damage repair. Interestingly, while CDK12 overexpression increased cell cycle progression and cell proliferation, it had no effect on the mRNA level of those key DDR genes. This indicates that CDK12 overexpression might influence cell cycle progression at other levels or through other mechanisms. For instance, in breast cancer cells, CDK12 overexpression led to altered alternative last exon splicing of a subset of genes (Tien et al., 2017) and increased the invasiveness of a breast cancer cell line by decreasing the expression of the long isoform of DNAJB6 (Paculová and Kohoutek, 2017). A potential weakness of our study is that due to technical difficulties, part of the functional analysis of CDK12 was done on MDBKs. It would be better if we can validate this mechanism in bovine embryos.
In summary, we have found 114 known miRNAs and 180 potential novel miRNAs in CM of bovine embryos. We have also identified miR-30c, which can be secreted and taken up by bovine embryos, as a novel potential biomarker related to bovine embryo apoptosis and reduced development. As miR-30c directly targets CDK12 and downregulates DDR genes, it may exert its effects on cell cycle progression by inhibiting the DDR pathways.
Author Contributions
XL performed the experiments and wrote the manuscript. YG provided the bioinformatics analysis for miRNA sequencing. EB contributed the qPCR experiments. KS was responsible for the embryo staining. KP helped to produce embryos. SMC, JC, PS, FVN, DD, AVS, and LP participated in the study design. All authors reviewed the manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The authors thank Petra Van Damme for her excellent technical assistance.
Footnotes
Funding. This work was supported by Ghent University (BOF GOA project 01G01112).
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2019.00315/full#supplementary-material
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