Corresponding Author: Patricia Pereira Coltri
Deptartamento de Biologia Celular e do Desenvolvimento, Instituto de Ciências Biomédicas, Universidade de São Paulo, 05508-000 São Paulo (Brazil)
Tel. +55-11-30910980, E-Mail coltri@usp.br
Human Antigen R (HuR) Facilitates miR-19 Synthesis and Affects Cellular Kinetics in Papillary Thyroid Cancer
Guilherme Henrique Gatti da Silva Maria Gabriela Pereira dos Santos Helder Yudi Nagasse Patricia Pereira Coltri
Departamento de Biologia Celular e do Desenvolvimento, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
Introduction
Human genes are composed of exons and intervening sequences called introns removed during nuclear processing steps. Pre-mRNA splicing is an essential step in eukaryotic gene expression and consists of removing introns and joining exons, resulting in mature mRNAs transcripts [1]. Splicing regulation is dependent on transcript sequences and regulatory proteins recruited by the spliceosome. Interaction between regulatory sequences found across the pre-mRNAs and regulatory proteins defines splicing fate. Additionally, mutations in spliceosome components and splice sites are among the most significant causes of cancer development [2]. More than 70% of the miRNAs are transcribed from introns in the human genome [3, 4]. MicroRNAs (miRNAs) are small non-coding RNAs (20–25 nucleotides) that directly affect gene expression through mediating transcript stability in eukaryotes. miRNAs were described as part of the oncogenic suppressor’s network on tumorigenesis [5, 6]. The oncogenic miRNA cluster miRNA-17-92 is transcribed from intron 3 of MIR17HG gene, located on chromosome 13q31. Seven miRNAs are transcribed as a polycistron, miR17-5p, miR17-3p, miR-18a, miR-19a, miR-20a, miR-19b, and miR-92a-1. Changes in these miRNAs’ expression patterns have been associated with the development of leukemia, ovarian, lung, and thyroid cancer [7, 8].
The miRNAs transcribed from the miR-17-92 cluster miRNAs can perform distinct functions. For example, miR-19a and miR-19b are responsible for the oncogenic and anti-apoptotic effects observed in many lymphomas [8]. Despite being transcribed as a single polycistron, these miRNAs’ processing, maturation, and function are independent [9, 10]. Additionally, individual miRNAs might have variable oncogenic features in different cell types [11, 12].
In papillary thyroid cancer, activation of the mutated BRAFV600E oncogene results in the deregulation of miR-17-92 expression [7]. Among the different targets predicted for miR-17-92 cluster are the receiver (TGFBR1) and the transducer mRNAs (SMAD2, SMAD3 and SMAD4) present in the TGFβ signaling pathway, an essential track in thyroid cell mitogen activation [13-15]. Regulation of transcription of this cluster might also be related to c-MYC and E2F factors [16]. Indeed, the silencing of Pim-1 and E2F3, controlled by c-MYC and E2F, respectively, can regulate the transcription of this cluster [16, 17]. The relative expression of individual miRNAs from this cluster is important for disease development, yet the mechanism that controls miR-17-92 biogenesis remains unknown. We previously found Human antigen R (HuR) in spliceosomes assembled from introns containing miR-18 and miR-19a [18]. Although it is not an integral component of the spliceosome, HuR is associated with splicing proteins and the RNA interference machinery, such as the Argonaute proteins [19]. It is also engaged in miRNA processing steps [20].
HuR, also known as embryonic lethal abnormal vision-like 1 (ELAVL1), is a ubiquitously expressed RNA-binding protein (RBP) composed of three RNA recognition motifs (RRMs) [21, 22]. Approximately 90% of endogenous HuR is concentrated in the nucleus, where it has a role in RNA processing, especially in polyadenylation and splicing [21-24]. HuR is overexpressed in many cancer types and has been implicated in regulating the cell cycle, tumorigenesis (cell proliferation, migration, and invasion), immunity, and angiogenesis [24-28]. Silencing HuR using RNAi reduced proliferation, migration, and invasion of ovarian tumor cells [29]. In addition, HuR has been related to the regulation of vascular endothelial growth factor A (VEGFA) expression and angiogenesis [30], also being associated with the inflammatory process in human macrophages [31]. Previous studies reported that HuR could either control the target sites on the 3’UTR of its own mRNA or compete with miRNAs to bind the 3’UTR of other targets [30, 32, 33].
We hypothesized that HuR could associate with miRNAs of this cluster and participate on the processing steps of this intron, therefore controlling miRNA biogenesis and maturation. As a consequence, it would be a key regulator of tumorigenesis processes triggered by these miRNAs. To address that, we investigated the biogenesis and maturation of these miRNAs in papillary thyroid cancer cell line (BCPAP) under altered expression of HuR. Importantly, we observed HuR associates and affects the expression of miR-19a and miR-19b . We also confirmed phenotypic alterations in cells over-expressing this protein, indicating a possible role in thyroid cancer development.
Materials and Methods
Cell culture
HeLa-Cre, HEK-293T, and papillary thyroid cancer (BCPAP) cell lines were maintained in DMEM/high-glucose (Thermo Fisher Scientific) supplemented with 10% FBS (HyClone), 1 mM sodium pyruvate (Life Technologies), L-glutamine, and 1X penicillin-streptomycin (100 U/mL penicillin, 100 μg/mL streptomycin; Life Technologies) in 60 mm Petri dishes, unless otherwise indicated. Adherent cells were detached using 1X trypsin/EDTA (Life Technologies). Cells were cultured at 37 °C in a humidified, controlled atmosphere incubator (95% air, 5% CO2). According to the manufacturer’s instructions, transfections were performed with Lipofectamine 2000 (Life Technologies). HeLa-Cre was kindly provided by E. Makeyev [34], and BCPAP was kindly provided by Massimo Santoro (University “Federico II”, Naples, Italy). Transfection selection was performed by gradually increasing geneticin (G418, Sigma) concentration to 1000 µg/mL, generating stably transfected cells. Cells were maintained in geneticin at 200 µg/mL.
microRNA quantification (qRT-PCR) and TaqMan-Based PCR
Whole-cell extracts were prepared using buffer A (10 mM KCl, 1.5 mM MgCl2, 20 mM HEPES [pH 7.5], 0.5 mM DTT) and the Douncer homogenizer (Wheaton, NJ). RNA was extracted using Trizol reagent (Thermo Fisher Scientific) and precipitated with sodium acetate and ethanol. According to the manufacturer’s instructions, this material was used for cDNA synthesis using Superscript IV RT enzyme (Life Technologies) and random primers. 100 ng of these cDNAs were used in real-time RT-PCR reactions (qRT-PCR) using SYBR Green reagent (Thermo Fisher Scientific) and specific primers for miRNAs 17a, 18a, 19a and 92a, RNU6B, HuR, and b-actin (Supplementary Table S1 – for all supplementary material see www.cellphysiolbiochem.com). TaqMan analyses were performed using 200 nM of probes for hsa-miR-19a, hsa-miR-19b, hsa-miR-18, and hsa-miR-423 (Thermo Fisher Scientific) (Supplementary Table S1). The probes for hsa-miR-423 were used as endogenous control, as recommended by Thermo. TaqMan universal master mix (ThermoFisher Scientific) was used according to manufacturer’s instructions, and ~100 ng DNA, in a total volume of 15 μl were run with the following cycling conditions: 16 °C for 30 min, 42 °C for 30 min, 85 °C for 5 min. Expression of specific miRNAs were normalized with U6 small nuclear RNA (RNU6B) when using SYBR Green or hsa-miR-423 when using the TaqMan probe system. The fold change calculation was performed using the delta-delta Ct (2-ΔΔCt) method [35].
Immunoprecipitation
pFLAG-HuR was transfected into HEK-293T and BCPAP cells. As controls, empty pFLAG and untransfected cells were used. Cells were collected, and extracts were prepared as described above. These extracts were immunoprecipitated by incubation with protein A-Sepharose coupled to anti-FLAG M2 (Sigma) for 16 to 18 h at 4 °C. After incubation, the resin was extensively washed in RIPA buffer (20 mM Tris [pH 8.0], 150 mM of NaCl; 10% glycerol, 2 mM EDTA; 2 mM EGTA, 1% Triton X-100) and the proteins were eluted using 5 µg/µl FLAG peptide for 2 h under rotation. Input and elution fractions were subjected to RNA extraction and qRT-PCR analysis, as described.
Luciferase reporter assay
To develop the luciferase reporter assay, three plasmids were created. We inserted pri-miR-17-92 sequence into the XhoI/EcoRI sites of the pRD-RIPE intron (kindly provided by Dr. E. Makeyev, Nanyang Technological University, Singapore; [34]), creating pRD-RIPE-1792. This plasmid has a tetracycline-controlled promoter, which is reversibly turned on or off by the presence of the antibiotic doxycycline. The luciferase reporter plasmid and the “scramble” control were generated using pmir-GLO (Promega). miRbase and TargetScan predicted RAP-IB 3’UTR as a target of miR-19a and miR-19b. Full length (380 bp) and scrambled (318 bp) sequences of human RAP-IB mRNA 3’-UTR were subcloned downstream into pmir-GLO at XhoI/XbaI sites, generating pmirGLO-RAP-IB-3ʹ-UTR (Luc-RAP-IB-3’-UTR) and pmirGLO-scrambled-3ʹ-UTR (Luc-scrambled-3’-UTR) reporter constructs. The sequence and orientation of the luciferase reporter were verified by NotI cleavage and DNA sequencing. To perform the reporter assay, HeLa-Cre cells were co-transfected with pRD-RIPE-1792 (300 ng) and pCAGGS-Cre (Cre-encoding plasmid) (100 ng) (kindly provided by Dr. E. Makeyev, Nanyang Technological University, Singapore; [34]). Co-transfection was performed using confluent cells on a 24-well plate. These cells were incubated with a mixture containing 2.0 μg of DNA and 1.25 μL Lipofectamine 2000 in 100 μL Opti-MEM I (Life Technologies, Carlsbad, CA) following the manufacturer’s protocol. Cells were incubated with the transfection mixtures overnight, the medium was replaced for DMEM, and the incubation continued for another 24 h before adding puromycin. These cells were then used for the transfection of the luciferase reporter plasmid. This was performed with 50 ng/mL of each Luc-RAP-IB-3’-UTR and Luc-scrambled-3’-UTR, separately, using Lipofectamine 2000 as recommended (Life Technologies, Carlsbad, CA). The medium was replaced 6-8 h post-transfection to include the mixture of penicillin and streptomycin, and the incubation continued for another 20 h in DMEM. The two luciferases’ activity was measured 48 h post-transfection using the Dual-Glo Luciferase Assay System (Promega).
Small Interfering RNA (siRNA) and antimiR-19a transfection
Silencer selected validated small interfering RNA (siRNA) for HuR (catalogue number 4390824) and negative control siRNA (catalogue number 4390843) were purchased from Life Technologies (Supplementary Table S1). To inhibit HuR expression, three different siRNA concentrations were transfected into BCPAP cells using Lipofectamine 2000 (2.5, 5, and 10 nM) (Life Technologies), following the manufacturer’s protocol. Cells were collected after 24 h and subjected to protein preparation and RNA extraction. 25 pM of antimiR-19a (miRVana, Thermo catalogue number 4464084) and the negative control (mirVana, Thermo catalogue number 4464076) (Supplementary Table S1) were transfected into BCPAP-FLAG and BCPAP-HuR cells using Lipofectamine 2000 (Life Technologies) according to manufacturer’s protocol. Cell growth after 24h and 72h post-transfection was evaluated using trypan blue.
Western Blot
Proteins were extracted using a buffer composed of 10 mM Tris-HCl pH 8, 140 mM NaCl, 0.1% SDS, 1% Triton X-100, 0.1% sodium deoxycholate, 1 mM EDTA, 0.5 mM EGTA, 1 mM PMSF and 1 mM DTT. Total protein concentrations were determined using the Bradford reagent (BioRad). Equal amounts of samples prepared from whole-cell extracts were separated on 10% SDS-PAGE, transferred to a nitrocellulose membrane, and probed with anti-HuR rabbit monoclonal (Cell Signaling) and anti-b-actin (Sigma). Following incubation with secondary antibodies IRDye 680/800CW-labeled rabbit or mouse (LI-COR Bioscience), blots were visualized using Odyssey CLx imaging system software (LI-COR Bioscience). Quantification was performed using Image J software and depicted after normalization of optic densitometry.
Cell growth, migration, and invasion
Cell growth was evaluated for 48 h with trypan blue staining. BCPAP cells at an initial concentration of 2.5 x 104/mL were cultured in 6-well plates (Corning) at 37 °C in 5% CO2 for 48 h. After cell suspension, a 0.4% trypan blue solution (Sigma Aldrich) was added in a 1:1 ratio. After 3 min, cells were counted and separated into live cells (no cytoplasmic fluorescence) and dead cells (blue cytoplasmic fluorescence). The trypan blue-positive ratio from 10 random fields was quantified with ImageJ software. Cells were counted using the Countess II FL (Life Technologies). Migration and invasion assays were performed using 8.0 μm pore transwell membranes (Corning). Membranes were incubated with PBS for 1 h at 37 °C, 5 % CO2 atmosphere for migration assays. For invasion assays, membranes were coated with 25 μg Matrigel® (BD Biosciences) and incubated for 1 h at 37 °C, 5% CO2 atmosphere. For both assays, about 2.5 x 104/mL cells were suspended in a culture medium containing 1 % FBS and plated in the upper chamber, whereas the lower chamber had 10 % FBS supplemented media. Non-migrating cells were removed from the top chamber after 24h using a cotton swab. Migrating cells were fixed with 4 % paraformaldehyde (PFA) in PBS and stained with 0.5 % Crystal Violet. Cells were photographed using a Nikon Eclipse E600 microscope equipped with optical camera CF160 epifluorescence, and ten representative fields were counted. Total protein concentrations were determined using the Bradford reagent.
Statistical analyses
Data are presented as mean ± SEM. Statistical analyses were performed using GraphPad Prism (GraphPad software, version 9, San Diego). Splicing reporter assay results and immunoprecipitation results were analyzed by two-way ANOVA followed by Tukey’s post-test to allow group comparison. Results of qPCR and Taqman experiments were further analyzed using the Mann-Whitney post-test. Differences at p-values <0.05 were considered to be significant.
Results
HuR overexpression in BCPAP and HEK-293T cells
We previously observed HuR in spliceosomes assembled upon introns containing miR-18a and miR-19a [18]. To investigate whether HuR could modulate the expression of miR-17-92 miRNAs in cancer cells, we induced HuR overexpression in vitro in two cell lines: human embryonic kidney (HEK-293T) and papillary thyroid cancer (BCPAP). BCPAP is a papillary thyroid cell line carrying the mutation BRAFV600E [7]. HEK-293T is derived from human embryonic kidney. Previous genomic analysis revealed HEK-293T has 7 copies of MIR17HG [36]. We reasoned that HuR regulatory roles on the expression of the miRNAs could be compared in these two cell lines. HuR overexpression in BCPAP and HEK-293T cells was confirmed by real-time PCR (Supplementary Fig. 1). We first analyzed miR-17-92 individual levels after HuR overexpression. As a control, empty pFLAG was also transfected into these cells. BCPAP-HuR and HEK293T-HuR showed increased expression of miR-19a , suggesting this protein positively regulates miR-19a expression independently of the cell line. On the other hand, we observed reduced levels of miR-92a in both cell lines (Fig. 1). The evidence for the role of HuR on the regulation of these miRNAs is reinforced by the fact that multiple copies of this cluster are found in HEK-293T cells.
Our qPCR using HuR over-expressing cells and in silico analysis retrieved from miRbase and TargetScan databases using query search consistently revealed potential HuR binding sites along pre-miR-17-92 sequence (GUUU, AUGA, NNUUNNUUU). Specifically, pre-miR-19a and pre-miR-19b sequences show conserved HuR binding sites (Fig. 2), indicating a possible interaction with these regions of the cluster. To investigate the association of HuR with this region, we performed immunoprecipitation using HuR over-expressing cells. Whole-cell extracts from BCPAP-HuR, HEK293T-HuR, and controls (cells expressing only the epitope FLAG) were subjected to anti-FLAG immunoprecipitation, and input and elution fractions were analyzed using qPCR. With three biological replicates, we observed that levels of miR-19a and miR-92a increased in BCPAP-HuR elution fractions relative to controls, indicating an association of those miRNAs and HuR (Fig. 3A). HuR associates with miR-19a in HEK293T-HuR as well (Fig. 3B). Specifically, HuR is also associated with miR-18 in this cell line. With the use of Taqman probes, we also confirmed strong HuR association with hsa-miR-19a and hsa-miR19b in BCPAP (Fig. 3C) and in HEK-293T cells (Fig. 3D). Specific Taqman probes for hsa-miR18 also confirmed association with HuR in HEK-293T but not in BCPAP cells (Fig. 3C and 3D).
Knockdown of HuR affects the synthesis of miR-19a and miR-17-5p
Considering HuR was associated with miR-19a and miR-19b , we asked whether its absence would also interfere with the expression of these miRNAs in BCPAP cells. To reduce the levels of HuR, we transfected BCPAP cells with siRNA against HuR (siHuR). Concentrations as low as 5 nM led to reduced HuR mRNA and protein, as confirmed by qPCR and western blot against HuR (Supplementary Fig. 2). We then analyzed the expression of miRNAs in BCPAP-siHuR cells by qRT-PCR. Our results indicated that miR-17-5p and miR-19a levels decreased significantly in BCPAP-siHuR cells (Fig. 4). miR-18 and miR-92 remained unchanged after using siHuR in BCPAP cells. Therefore, the reduction observed in miR-19a might be primarily due to the strong association of HuR with miR-19a , as observed with the IP assay (Fig. 3). Additionally, we also observe a reduction in miR-17-5p upon knockdown of HuR. Since HuR can bind next to miR-17-5p coding region, it is possible that its absence also impacts the processing of this miRNA. This result indicates that HuR not only associates with miR-19a but also regulates the expression miR-19a and miR-17-5p. Thus, it is possible that HuR binding to the pre-miRNA facilitates the processing of the miRNAs transcribed from the 5’-end of the cluster, such as miR-17-5p, miR-18 and miR-19a [37].
HuR induces miR-19 expression and maturation
Our results indicated that HuR binds to and regulates the expression of miR-19a and miR-19b in BCPAP cells. The connection of HuR expression and miR-17-92 cluster could point to a new mechanism governing the biogenesis of these miRNAs. To confirm that the induced miRNAs were truly functional, we designed an in vitro reporter system using a plasmid containing intronic pri-miR-17-92, whose expression is controlled by a tetracycline-inducible promoter (Fig. 5A) [34]. Ras-related protein RAP-IB is a GTPase member of the Ras-associated protein family (RAS). Bioinformatics analysis revealed that RAP-IB 3’ UTR has target sequences for both miR-19a and miR-19b. Therefore, this sequence was inserted into pmiR-GLO to test for miR-19a and miR-19b activity. If the induced miRNA were correctly processed and functional in our assay, it would hybridize to the sequence cloned next to luciferase. Therefore, it would block luciferase translation, resulting in reduced luciferase activity. Under the absence of doxycycline, and therefore without activation of exogenous miR-17-92 expression, we observed endogenous miR-19a and/or miR-19b successfully found the target, resulting in reduced luciferase expression and activity (Luc-RAP-IB-3’UTR). The addition of FLAG-HuR coupled to doxycycline supplementation further reduced luciferase activity, indicating that more miR-19a and miR-19b were synthesized and able to find their target in pmiR-GLO-RAP-IB (Fig. 5B, Luc-RD-17-92-HuR). Altogether, these results support that induction by HuR generated functional miR-19a and miR-19b.
HuR overexpression is associated with tumor progression
Our results indicated that HuR positively controls miR-19a and miR-19b biogenesis and processing, and these miRNAs were already shown as potent oncogenic miRNAs [8]. We then hypothesized that increased expression of HuR could affect cellular kinetics promoting tumorigenic effects. To evaluate that, we analyzed cell growth, migration and invasion in cells over-expressing HuR. By comparing the phenotypes of BCPAP-HuR and BCPAP-FLAG; and HEK293T-HuR and HEK293T-FLAG, we observed increased growth in BCPAP-HuR and HEK293T-HuR cells (Fig. 6A and 6B), suggesting HuR is stimulating cell growth. We reasoned that HuR was stimulating miR-19a expression, which was the responsible for the increased cell growth observed. To address that, we transfected BCPAP-FLAG and BCPAP-HuR cells with antimiR-19a or with a negative control antimiRNA. Following 24h of the transfection, we confirmed miR-19a inhibition by qRT-PCR (Supplementary Fig. 3). We then analyzed cell growth for another 48h and compared it with the growth of BCPAP-HuR cells. The results showed inhibition of miR-19a has a significant impact on growth of these cells, especially when compared to BCPAP-HuR cells (P<0.0005) (Fig. 6C).
Sustained continuous proliferation is one hallmark of cancer [38], and this characteristic indicates that HuR over-expression could affect other tumorigenic aspects. We then sought to investigate migration and invasion rates in cells overexpressing HuR. Transwell migration assays were performed with approximately 2.5 x 104 cells/mL after incubation of 24 h in regular culture media containing FBS. Our results showed that BCPAP cells overexpressing HuR migrated faster than control cells. In addition, the number of cells counted on the lower chamber was, on average, 50% higher than the number found in control cells (Fig. 7A).
Similarly, we performed this assay using a matrigel layer over the transwell membrane, simulating the extracellular matrix environment. The number of HuR overexpressing cells that could invade the lower chamber was twice the number found for control cells (Fig. 7B). This result indicated that HuR over-expressing cells also had increased invasive capacity. Altogether, these results suggested that HuR over-expression increases tumorigenic characteristics in thyroid papillary cancer cell line. Indeed, miR-19a and miR-19b stimulation by HuR over-expression might directly involve these observed effects during tumor progression.
We are grateful to Eugene Makeyev, Edna T. Kimura and Melissa Jurica for kindly providing reagents. We are also thankful to Cilene Rebouças, Marinilce Fagundes dos Santos, Lucia Rosetti Lopes, Glaucia Santelli, César Fuziwara, Vanessa Freitas, Carolina Purcell, and Gisela Ramos for their support.
Author Contributions
Conception of the work: G.H.G.S. and P.P.C.; Acquisition, analysis and interpretation of data: G.H.G.S., M.G.P.S., H.Y.N. and P.P.C.; Manuscript draft: G.H.G.S. and P.P.C.; Manuscript final revision: G.H.G.S., H. Y. N., M.G.P.S. and P.P.C.; Funding: P.P.C.
Funding
G.H.G.S., M.G.P.S. and H.Y.N. received fellowships from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; P.P.C. was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo, Grant Numbers 2017/06994-9 and 2019/21874-5.
Statement of Ethics
The authors have no ethical conflicts to disclose.
The authors declare that no conflicts of interest exist.
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