Search tips
Search criteria 


Logo of plosonePLoS OneView this ArticleSubmit to PLoSGet E-mail AlertsContact UsPublic Library of Science (PLoS)
PLoS One. 2013; 8(3): e59057.
Published online 2013 March 19. doi:  10.1371/journal.pone.0059057
PMCID: PMC3602428

XB130, a New Adaptor Protein, Regulates Expression of Tumor Suppressive MicroRNAs in Cancer Cells

Laszlo Buday, Editor


XB130, a novel adaptor protein, promotes cell growth by controlling expression of many related genes. MicroRNAs (miRNAs), which are frequently mis-expressed in cancer cells, regulate expression of targeted genes. In this present study, we aimed to explore the oncogenic mechanism of XB130 through miRNAs regulation. We analyzed miRNA expression in XB130 short hairpin RNA (shRNA) stably transfected WRO thyroid cancer cells by a miRNA array assay, and 16 miRNAs were up-regulated and 22 miRNAs were down-regulated significantly in these cells, in comparison with non-transfected or negative control shRNA transfected cells. We chose three of the up-regulated miRNAs (miR-33a, miR-149 and miR-193a-3p) and validated them by real-time qRT-PCR. Ectopic overexpression of XB130 suppressed these 3 miRNAs in MRO cells, a cell line with very low expression of XB130. Furthermore, we transfected miR mimics of these 3 miRNAs into WRO cells. They negatively regulated expression of oncogenes (miR-33a: MYC, miR-149: FOSL1, miR-193a-3p: SLC7A5), by targeting their 3′ untranslated region, and reduced cell growth. Our results suggest that XB130 could promote growth of cancer cells by regulating expression of tumor suppressive miRNAs and their targeted genes.


Actin filament associated protein (AFAP) is a small family of adaptor proteins involved in intracellular signal transduction, cytoskeletal organization, cell motility and other cellular functions. It includes AFAP [1], AFAP1L1 (actin filament associate protein 1 like 1) [2], and XB130 (also known as actin filament associated protein 1-like 2, AFAP1L2) [3]. They have been demonstrated to participate in the regulation of various signaling pathways by forming protein-protein and/or protein-lipid complexes [1], [4], and under certain circumstances these adaptor proteins can be involved in tumorigenesis [5], [6].

XB130 is a tyrosine kinase substrate, which can be tyrosine phosphorylated by Src and other tyrosine kinases [7][9], and interact with Src through its N-terminal SH2 and SH3 domain binding motifs, and mediates Src related transactivation of SRE and AP-1 [7]. The N-terminus of XB130 also contains a YxxM motif that can bind to the p85α subunit of phosphatidyl inositol 3-kinase (PI3K) through its SH2 domains, and subsequently activate Akt [2], [8]. XB130 mediates cell survival and proliferation through multiple signals down-stream from Akt [9]. XB130 in human thyroid cancer cells regulates tumor growth as shown in an animal model with nude mice, through promotion of cell proliferation and inhibition of apoptosis. Moreover, knockdown of XB130 reduces expression of many genes related to cell proliferation and/or survival [10]. XB130 is also involved in the regulation of cell migration [11]. Alteration of XB130 expression has been noted in human thyroid cancer [10], esophageal cancer [12], and gastric cancer [13]. Therefore, these studies call for further examination on the function of XB130 in tumorigenesis.

MicroRNAs (miRNAs) are small non-coding RNAs (approximately 22 nucleotide lengths), which can specifically interact with the 3′-untranslated region (3′UTR) of targeted mRNAs, inhibit mRNA translation, or lead to mRNA cleavage and degradation [14]. The number of reported human miRNAs exceeds 2,000 (miRBase, Release 18 at the Sanger Institute), and miRNAs play important roles in controlling biological processes including development, differentiation, metabolism and proliferation [15][18]. Some miRNAs are frequently mis-expressed in cancer cells, and have recently been identified as new factors related to oncogenesis and tumor progression [19][22]. Several recent studies focus on the regulation of miRNA expression and function in cancer [23][26], including thyroid cancer [27][29].

Although XB130 can regulate expression of many genes related to cell proliferation [10], and promotes cell proliferation and survival via PI3K/Akt pathway [9], little is known about the mechanisms underlying its regulation of gene expression. In the present study, we sought to determine whether XB130 could regulate expression of some of these genes via down-regulation of tumor suppressive miRNAs. We examined miRNA expression level using XB130 short hairpin RNA (shRNA) stably transfected WRO thyroid cancer cells, in comparison with non-transfected cells or cells stably transfected with negative control shRNA. On the other hand, we transfected MRO cancer cells that have very low expression of XB130 with XB130 plasmid to enhance its expression. Three tumor suppressive miRNAs were identified and further studied, in terms of expression of their targeted genes, cell proliferation, and apoptosis.

Materials and Methods

Cell Culture

Human thyroid carcinoma WRO cells and MRO cells were from Dr. S. Asa (University of Toronto, Toronto, Canada) [30], who obtained these cells from Dr. J. Fagin (Memorial Sloan-Kettering Cancer Center, New York, NY, USA). Cells were maintained in RPMI 1640, supplemented with 10% FBS, 1 mmol/L pyruvate and nonessential amino acids (GIBCO-BRL, Gaithersburg, MD, USA), and 1% penicillin-streptomycin. We previously established WRO cells that are stably transfected with shRNA plasmids for XB130. (C3-1 and C3-4 were established from vector C3; C4-3 and C4-11 were established from vector C4) and negative control shRNA plasmid (NC1, NC9 and NC12) were established previously [10]. G418 (0.25 mg/ml) was added to culture medium of transfected cells to maintain the selection. The cells were cultured in a standard humidified incubator at 37°C with 5% CO2.

Protein Studies and Western Blotting

Western blot was performed according to procedures as described previously [31], [32]. In brief, cells were lysed with modified radioimmune precipitation assay buffer (50 mmol/L Tris-HCl, pH 7.5; 150 mmol/L NaCl; 2 mmol/L EGTA; 2 mmol/L EDTA; and 1% Triton X-100) containing 10 µg/ml each of aprotinin, leupeptin, pepstatin, 1 mmol/L phenylmethylsulfonyl fluoride, 1 mmol/L Na3VO4 and 10 mmol/L NaF. Protein concentrations were measured by Pierce® BCA Protein Assay Kit (Thermo, Rockford, IL, USA).

Cell lysates containing equal amounts of total proteins were separated by SDS–PAGE and then transferred onto nitrocellulose membranes. The membranes were then probed with the indicated antibodies. Proteins were revealed by SuperSignal West Dura Extended Duration Substrate (Thermo). The intensities of protein bands were quantified using ImageJ software (

Monoclonal XB130 antibody was generated as described previously [7]. Antibodies for β-actin, MYC, CEBPG, FOSL1, SCL7A5, DECR1, SETD8 were purchased from Santa Cruz Biotechnology (Santa Cruz Biotechnology, CA, USA). Anti-PCNA antibody came from Abcam (Toronto, ON, Canada). Anti-Ki-67 (clone Ki-S5) came from Cedarlane (Burlington, ON, Canada).

Microscopy and Immunofluorescence Analysis

For immunofluorescence staining, cells were grown on glass coverslips pre-treated with 50 µg/mL poly-L-lysine. Following adhesion, cells were rapidly fixed by 4% paraformaldehyde for 20 min and washed with PBS. Cells were permeabilized with 0.1% Triton-X-100 for 10 min and blocked with 1% BSA for 1 h. The coverslips were then incubated with primary antibody against XB130 for 2 h, followed by washing and incubation with secondary antibody conjugated with Alexa Fluor 594 (Invitrogen, Carlsbad, CA, USA) for 1 h. The coverslips were also stained for F-actin with Oregon Green 488 Phalloidin (Invitrogen) for 1 h and for nucleus with Hoechst dye 33342 (Invitrogen) for 10 min. Coverslips were washed with PBS and mounted on glass slides using Dako fluorescence mounting medium (Dako, Mississauga, ON, Canada). The staining was visualized using an Olympus IX81 microscope.

MicroRNA Array and Data Analysis

Four XB130 shRNA stably transfected clones (C3-1, C3-4, C4-3 and C4-11) were used as XB130 knockdown cells. WRO cells and three negative control shRNA stably transfected clones (NC1, NC9 and NC12) were used for comparison. Total RNA was extracted using mirVana™ miRNA Isolation Kit (Ambion, Austin, TX, USA). The RNA integrity number determined by the Agilent Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, USA) was used as a measure of the quality of the RNA. MiRNA expression profiling was performed using Human Agilent’s miRNA Microarray system (Agilent Technologies) with a SurePrint G3 8×60 K v16 platform for 1,205 human miRNAs (miRBase release 16.0). Briefly, 100 ng of total RNA were labeled with Cyanine 3-pCp and hybridized onto the arrays at 55°C for 20 h. Slides were scanned with an Agilent Technologies Scanner G2505C, and the scanned images were analyzed using Agilent Feature Extraction version 10.7.3. Differential expression analysis and hierarchical cluster analysis was performed using GeneSpring GX 11.5 (Agilent Technologies).

Target Prediction of miRNAs

TargetScan 6.0 (, (, PicTar (, and DIANA-MICROT v4/TarBase 5.0 ( were used to search for predicted targets of miRNAs.

Real-Time Quantitative RT-PCR for XB130

Total RNA was extracted using RNeasy kit (Qiagen, Valencia, CA, USA), and cDNA was synthesized from the total RNA using High Capacity cDNA RT kit (Applied Biosystems, Foster City, CA, USA). Quantitative RT-PCR for XB130 was performed using SYBR Green I Master PCR kit on LightCycler480 (Roche Diagnostics Corporation, Indianapolis, IN, USA) according to the manufacturer’s protocol. SDHA was used as an internal reference gene for analyses. The PCR primers for XB130 and SDHA are: XB130_forward 5′-AGCACAGCACTGGTGAAGAA-3′, XB130_reverse 5′-GTTGCTTGTTGATGGTCACT-3′, SDHA_forward 5′-CGGCATTCCCACCAACTAC-3′ and SDHA_reverse 5′-GGCCGGGCACAATCTG-3′. Expression of XB130 was normalized using the 2-ΔΔCT method relative to SDHA. The ΔCt was calculated by subtracting the Ct values of SDHA from the Ct values of the XB130. Fold change in the gene was calculated by the equation 2-ΔCt [33]. All assays were performed in triplicate. The mean of expression of XB130/SDHA ratio in WRO cells was set to 1 and the results were expressed as mean and standard deviation of fold of XB130 changes.

Real-Time Quantitative RT-PCR for pri-miRNAs and Mature miRNAs

To quantify expression of the pri-miRNAs and mature miRNAs, total RNA was extracted using mirVana™ miRNA Isolation Kit (Ambion). As for quantifications of the pri-miRNAs, the cDNA was synthesized using High Capacity cDNA RT kit (Applied Biosystems). Real-time PCR reactions were performed using a TaqMan® Universal Master Mix II and the TaqMan® pri-miRNA Assays specific for has-mir-33a, has-mir-149 and has-mir-193a-3p on a 7900 Real-time PCR system (Applied Biosystems).

As for quantifications of the mature miRNAs, a TaqMan® MicroRNA RT Kit and TaqMan® MicroRNA assays specific for hsa-miR-33a, has-miR-149 and has-miR-193a-3p (Applied Biosystems) were used for RT reactions. Real-time PCR reactions were performed using a TaqMan® Universal Master Mix II and the TaqMan® MicroRNA assays on a 7900 Real-time PCR system (Applied Biosystems). In both quantifications, RUN6B (U6) was assessed as endogenous control, and the results was normalized using the 2-ΔΔCT method same as real-time qRT-PCR for XB130.

Cell Transfection

Generation of plasmid of GFP-alone, GFP-tagged XB130 (GFP-XB130) and its N-terminus deletion mutant (GFP-XB130ΔN) were described previously [11]. MRO cells were transiently transfected using 60 µL Lipofectamine 2000 (Invitrogen) on a 100 mm dish as described in the manufacturer’s instructions. The medium containing plasmid was replaced with fresh medium 24 h after the transfection, and GFP positive cells were isolated by fluorescence activated cell sorting (FACS) Aria II (BD Biosciences, San Jose, CA) 48 hrs after the transfection. GFP positive cells were then used for western blotting and cell proliferation assays.

mirVana™ miRNA Mimic of miR-33a, miR-149 and miR-193a and mirVana™ miRNA Mimic Negative Control #1 were obtained commercially (Ambion). WRO cells were transfected with 50 pmol miR mimic using 5 µL Lipofectamine 2000 (Invitrogen) on a 6-well plate according to the manufacturer’s protocol. The medium containing plasmid was replaced with fresh medium 24 h after the transfection and total RNA and protein were extracted 48 h after the transfection.

Luciferase Reporter Assay

Seed sequences of miR-33a, miR-149 and miR-193a-3p and pairing 3′UTR sequences of MYC, FOSL1 and SLC7A5 were predicted by TargetScan. 3′UTR sequences were cloned downstream to firefly luciferase of pmirGLO Dual-Luciferase miRNA Target Expression Vector and verified by sequencing (Promega, Madison, WI, USA). The pmirGLO construct and the miR mimic or control miR mimic were co-transfected into WRO cells cultured in 96-well plates using Lipofectamine 2000 (Invitrogen) according to the manufacturer’s protocol. Forty-eight hours after transfection, firefly and Renilla luciferase activities were measured using a Dual Luciferase Reporter Assay System (Promega). Firefly luciferase was normalized to Renilla luciferase activity. The mean of luciferase activity of Firefly/Renilla ratio in WRO cells co-transfected with each of the pmirGLO construct and control miR mimic was set to 1. Data were expressed as mean and standard deviation of five independent experiments.

Cell Proliferation and Apoptosis Assays

WRO cells were plated in quintuple wells of 96-well microtiter plates (100 µl/well) for cell proliferation assay, in 12-well microtiter plates (1 ml/well) for cell count assay, and in 6-well microtiter plates (2 ml/well) for apoptosis assay, at 5×104 cells/ml and cultured for 24 h. The cells were then transfected with miRNA mimic as described above.

Cell proliferation was evaluated using CellTiter 96® Aqueous One Solution Cell Proliferation Assay (Promega) at each time point (0, 24, 48, and 72 h) after the transfection. After replaced with fresh medium, 20 µl of the CellTiter 96® AQueous One Solution Reagent was added into each well and the plates were incubated at 37°C for 2 h in a humidified, 5% CO2 atmosphere. The absorbance of samples was read at 490 nm with an automatic plate reader (Thermo). The background absorbance of medium-alone was subtracted. The proliferation index was calculated as the mean absorbance of cells at the indicated time point divided by the mean absorbance of cells at 0 h after transfection and expressed as mean and standard deviation. In cell count assay, cells were detached from the flasks with a trypsin-EDTA solution and counted by a hemocytometer at each time point. The cell number was expressed as mean and standard deviation.

In apoptosis assay, the transfected cells were harvested 72 h after the transfection and stained with fluorescein isothiocyanate-conjugated annexin V and phosphatidylinositol (PI), using ANNEXIN V – FITC Kit (Beckman Coulter, Brea, CA, USA) according to the manufacturer’s protocols and analyzed by BD AccuriTM C6 Flow Cytometer (BD Biosciences, San Jose, CA).


Characterization of XB130 shRNA Stably Transfected WRO Cells

To study the roles of XB130 in regulating WRO cell activities, we stably transfected the cells with shRNA targeting XB130. Expression of XB130 was significantly lower in these clones (C3-1, C3-4, C4-3 and C4-11) than that in non-transfected WRO cells and other three clones stably transfected with a negative control shRNA (NC1, NC9, NC12), as determined by Western blot (Fig. 1A) and by real-time quantitative RT-PCR (Fig. 1B). The expression of SDHA mRNA was used as a housekeeping gene for qRT-PCR (Fig. 1B), because its expression does not change under different experimental conditions [10], [34], [35]. Interestingly, XB130 knockdown cells showed elongated morphology when examined with phase-contrast microscopy. In addition, immunofluorecence staining revealed that the expression of XB130 in C3-1, C3-4, C4-3 and C4-11 cells was barely detectable, and F-actin staining also showed elongated morphology at single cell levels (Fig. 1C, Fig. S1).

Figure 1
Decreased XB130 expression in XB130 shRNA stably transfected WRO cells.

MicroRNA Expression Profile in XB130 shRNA Transfected Cells

To identify miRNAs regulated by XB130, we performed miRNA expression profile assay, by comparing XB130 shRNA stably transfected WRO cells (C3-1, C3-4, C4-3 and C4-11) with controls (WRO, NC1, NC9 and NC12) using a microRNA array assay. GeneSpring GX analysis showed that 38 miRNAs were significantly changed by the stable knockdown of XB130 in WRO cells (p value <0.05), of which, 16 were up-regulated (Table 1) and 22 were down-regulated (Table S1) in XB130 shRNA transfected cells.

Table 1
Significantly upregulated miRNAs in XB130 shRNA transfected Cells.

To determine the mechanisms by which XB130 regulates cell proliferation, we focused on miRNAs repressed by XB130 and selected miR-33a, miR-193a-3p and miR-149 for further analysis, which have been reported to show tumor suppressor functions in various cancers [36][38]. To verify the effects of XB130 on miR-33a, miR-149 and miR-193a-3p, we quantified levels of these 3 miRNAs using real-time qRT–PCR. Both the mature miRNA (Fig. 2A) and pri-miRNA (Fig. 2B) levels of these three miRNAs in XB130 shRNA stably transfected WRO cells (C3-1, C3-4, C4-3 and C4-11) were significantly higher than those in the non-transfected WRO cells or cells stably transfected with negative control shRNA (NC1, NC9 and NC12).

Figure 2
XB130 shRNA transfected WRO cells showed increased levels of miR-33a, miR-149 and miR-193a-3p by real-time quantitative RT-PCR.

Ectopic XB130 Expression Suppressed Primary and Mature Forms of miR-33a, miR-149 and miR-193a-3p

To further confirm the regulatory effects of XB130 on expression of miR-33a, miR-149, and miR-193a-3p, we performed a “rescue” study on MRO cells, which have very low XB130 expression as determined by western blotting. We transfected MRO cells with plasmids expressing GFP-alone, GFP-XB130, or its N-terminus deletion mutant, GFP-XB130ΔN. GFP positive cells were collected by FACS, and the expression of GFP-XB130 and GFP-XB130ΔN proteins in transfected MRO cells was demonstrated by western blotting (Fig. 3A). In contrast to WRO cells, MRO cells showed significantly higher expression levels of miR-33a, miR-149 and miR-193a-3p, both the mature and primary forms. XB130-GFP overexpression resulted in a significant down-regulation of both mature miRNAs and pri-miRNAs, whereas overexpression of GFP-XB130ΔN did not elicit such effects (Fig. 3B and C). Since the N-terminus of XB130 contains functional motifs that can interact with Src [7] and p85α subunit of PI3K [8], the lack of effects of this mutant suggests that the “rescue” effects of GFP-XB130 may be related to Src and/or PI3K related mechanisms. The fact that both the mature and pri-miRNA levels were regulated similarly by XB130 suggested that XB130 affected these three miRNAs at least partially at the transcriptional level.

Figure 3
Ectopic XB130 expression in MRO cells reduced levels of miR-33a, miR-149 and miR-193a-3p.

Overexpression of miR-33a, miR-149 and miR-193a-3p Reduced Down-stream Targeted Proteins Related to Cell Proliferation

We previously reported that in XB130 shRNA stably transfected WRO cells, 57 genes related to cell proliferation or survival were significantly altered, and most of these genes were down-regulated by XB130 shRNA [10]. We speculated that among these genes, some are targets of miR-33a, miR-149 and miR-193a-3p. Using TargetScan 6.0,, PicTar, and DIANA-MICROT v4/TarBase 5.0, we identified MYC and CEBPG as candidates of target genes for miR-33a, CEBPG and FOSL1 for miR-149, SLC7A5, DECR1 and SETD8 for miR-193a-3p. To evaluate whether these miRNAs actually regulate expression of candidate targets, we transfected miR mimic into WRO cells. Transfection of these three miR mimics significantly increased levels of respective miRNAs (Fig. 4A), but did not affect XB130 protein levels (Fig. 4B). In comparison with WRO cells, the protein levels of MYC, FOSL1 and SLC7A5 were lower in XB130 shRNA stably transfected cells (C3-1 as an examples) (Fig. 4C–E). Overexpression of miR-33a resulted in a decrease of MYC protein levels (Fig. 4C). Similarly, overexpression of miR-149 down-regulated FOSL1 protein levels (Fig. 4D), and overexpression of miR-193-3p down-regulated SCL7A5 protein levels (Fig. 4E). The negative control mimic (Cont-m) did not affect these three proteins (Fig. 4C–E). Protein levels of CEBPG, DECR1 and SETD8 were not changed by overexpression of these miR mimics (data not shown).

Figure 4
Overexpression of miR-33a, miR-149 and miR-193a-3p mimic reduced expression levels of predicted target proteins in WRO cells.

Since over-expression of GFP-XB130 in MRO cells suppressed expression of miR-33a, miR-149, and miR-193a-3p (Fig. 3A–3B), we also tested whether it could subsequently affect their down-stream targeted proteins. Western blots showed that in comparison with GFP-alone transfected MRO cells, GFP-XB130 transfected cells showed higher MYC, FOSL1 and SLC7A5. In comparison with GFP-XB130ΔN transfected cells, the FOSL1 and SLC7A5 levels were also clearly higher in GFP-XB130 transfected cells (Fig. S2). These results supported the miRNA mimic data in WRO cells.

MiR-33a, miR-149 and miR-193a-3p Directly Targeted Binding Site in the 3′UTR of MYC, FOSL1 and SLC7A5, Respectively

We then used the pmirGLO Dual-Luciferase reporter system to determine whether the reduction in MYC, FOSL1 and SLC7A5 levels by overexpression of miR-33a, miR-149 and miR-193a-3p miR mimic was through the 3′UTR of their targeted mRNAs. A considerable complementarity was identified, using the algorithms in TargetScan between sequences within the seed regions of miR-33a, miR-149 and miR-193a-3p and sequences in the 3′UTR of MYC, FOSL1 and SLC7A5, respectively (Fig. 5A). The pmirGLO constructs that contain a luciferase reporter and the 3′UTR of each of these 3 genes were generated. WRO cells were co-transfected with the pmirGLO constructs and each of the miR mimics or a negative control miR. Overexpression of miR-33a significantly reduced luciferase activity of the pmirGLO construct with cloned 3′UTR sequences of MYC (Fig. 5B). Similarly, overexpression of miR-149 and miR-193-3p significantly reduced luciferase activities when the cells were transfected with the luciferase construct containing the 3′UTRs of FOSL1 and SCL7A5 (Fig. 5C and D). These results indicated that these 3 miRNAs might affect the expression of related target genes by binding to their 3′UTRs.

Figure 5
MiR-33a, miR-149 and miR-193a-3p directly target a potential binding site in the 3′UTR of MYC, FOSL1 and SLC7A5, respectively.

Reduced Cell Proliferation by Overexpression of miR-33a, miR-149 and miR-193a-3p

MYC, FOSL1 and SLC7A5 are known to participate in the regulation of cell proliferation. Since transfection of each of these miR mimics down-regulated respective targeted protein, we then examined the effects of these miR mimics on cell proliferation. Proliferation of WRO cells was decreased by the transfection of miR mimic of miR-33a, miR-149 or miR-193a-3p, as determined by MTT assay (Fig. 6A), or by cell counting (Fig. 6B), in comparison with control miR mimic transfected cells at 72 h after cell seeding. Additionally, the expression of cell proliferation markers, Ki-67 and PCNA, were reduced by each of these three miR mimics in comparison with non-transfected WRO cells or cells transfected with control mimic (Fig. 6C). On the other hand, overexpression of GFP-XB130, and to less extend of GFP-XB130ΔN increased Ki67 expression in MRO cells (Fig. S2).

Figure 6
Suppressive effects of miR-33a, miR-149 and miR-193a-3p on proliferation in WRO cells.

To determine whether the reduced cell number was due to apoptosis, we performed flow cytometry with PI/Annexin V double staining. Annexin V positive cells represent early apoptosis, while Annexin V and PI double positive cells represent late apoptosis [10]. Overexpression of miR-193a-3a (but not other two miRNAs) significantly induced both early and late apoptosis in WRO cells (Fig. 6D). These results suggest that the reduced cell numbers in miR-33a and miR-149 mimics are mainly due to inhibition on cell proliferation, whereas miR-193a-3p may reduce cell proliferation and induce apoptosis.


In our previous study, microarray analysis identified 246 genes significantly changed by stably knock down of XB130 in WRO thyroid cancer cells. Especially, 57 out of the 246 genes are related to cell proliferation or survival, including many transcription regulators [10]. It has been estimated that approximately 30% of all human genes can be regulated by miRNAs [39]. The alterations in the miRNA processing contributes to tumorigenesis [40]. Therefore, we hypothesized that XB130 may regulate expression of growth-related miRNAs and subsequently control genes related to cell proliferation and survival. To evaluate this hypothesis, we analyzed miRNA expression in XB130 knockdown WRO cells. MicroRNA array analysis data showed that 38 miRNAs were differently expressed in XB130 knockdown cells. Among them, we focused on miR-33a, miR-149 and miR-193a-3p that have been reported as tumor suppressive miRNAs in various cancers. MiR-33a decelerates cell proliferation acting through inhibition of proto-oncogene Pim-1 in lymphoma and colon cancer cells [36]. miR-149 expression has a direct correlation with KCNMA1 and LOX oncogenes in clear cell renal cell carcinoma [37]. Similarly, miR-193-3p targets JNK1 and inhibits cell-cycle progression and proliferation in breast cancer [38]. We validated up-regulation of miR-33a, miR-149 and miR-193a-3p in XB130 knockdown cells by real-time qRT-PCR.

In microRNA expression processes, RNA polymerase II produces long primary miRNA transcripts called pri-miRNAs, which are cropped and cleaved by a multi-protein complex including DROSHA and DICER1 to produce mature functional miRNAs [41]. How the miRNA expression is regulated is still unclear, yet various mechanisms have been suggested. It has been shown that p53 was responsible for the post-transcriptional maturation of miR-16-1, miR-143 and miR-145, whereas expression of related pri-miRNAs was not influenced by p53 [25]. On the other hand, BRCA1 controls miR-155 expression by regulating a transcription mechanism [24]. In the present study, the expression of pri-mir-33a, miR-149 and miR-193a-3p was also increased in XB130 knockdown cells, suggesting that XB130 may affect the transcription of these pri-miRNAs and subsequently affect the levels of mature miRNAs.

We also over-expressed XB130 in MRO thyroid cancer cells, which have very low levels of XB130. Schweppe et al. have found cross-contamination among commonly used thyroid cancer cell lines. MRO cells used in that study was suspected to be an HT-29 colon cancer derived cell line [42]. Our results need to be interpreted with cautions. Nonetheless, overexpression of XB130 significantly reduced expression of these 3 miRNAs, both mature miRNAs and pri-miRNAs. Moreover, this regulatory effect was inhibited by deletion of the N-terminus of XB130. The N-terminal region of XB130 includes several tyrosine phosphorylation sites and a proline-rich sequence that could interact with Src homology 2 and 3 domain-containing proteins, such as Src and p85α subunit of PI3K [3]. These data indicate that the regulation of these miRNAs by XB130 may be mediated trough specific signal transduction pathways.

We also examined the functions of these miRNAs on regulation of their predicted target genes and on cell proliferation in WRO cells. Firstly, overexpressed mimics of these miRNAs reduced the expression of their predicted target protein. Moreover, these miRNAs may directly bind to 3′UTR of targeted genes, as shown by the luciferase reporter assays. Interestingly, all three genes whose protein levels are down-regulated by overexpression of related miRNAs are known as oncogene. MYC, c-Myc-encoded protein, functions in cell proliferation and differentiation in several types of human cancers, including lung, breast, colon and thyroid cancers [43], [44]. FOSL1 has proto-oncogene function by dimerizing with proteins of the Jun family to form AP-1 complex, a transcription factor that controls critical cellular processes including differentiation, proliferation, and apoptosis [45], [46]. Kim et al., have reported thyroid malignant tumors have higher expression of FOSL1 (also called Fra-1) than in benign tumors [47]. SLC7A5 (also called LAT1) is overexpressed in many cancer types, and its expression levels are usually correlated to cancer progression, aggressiveness and prognosis [48], [49]. SLC7A5 siRNA significantly reduced proliferation of small cell lung cancer cells [50] and KB human oral cancer cells [51]. Indeed, overexpression of miR-33a, miR-149 and miR-193a-3p resulted in inhibition of cell growth. Taken together, our results support tumor-suppressive functions for miR-33a, miR-149 and miR-193a-3p through down-regulation of related oncogene.

In summary, this study demonstrates a novel pro-oncogenic mechanism of XB130, regulating oncogenes through tumor suppressive miRNAs. It is plausible that some of the miRNAs decreased by XB130 knockdown might suppress other target genes (such as cell cycle inhibitors). miRNAs have been proposed as therapeutic targets for cancers [52]. Therefore, how XB130 expression controls miRNA transcription and processing, and how XB130 related miRNA affects down-stream proteins, and consequently affect cell proliferation and survival may provide new knowledge in cancer research.

Supporting Information

Figure S1

Immunofluorecence staining for XB130. As reported in Fig. 1, the other two negative control shRNA transfected WRO cell lines (NC1 and NC12) and three XB130 shRNA transfected WRO cell lines (C3-4, C4-3 and C4-11) were immune-stained with the XB130 antibody. The expression of XB130 protein significantly decreased in XB130 shRNA transfected cells.


Figure S2

Ectopic XB130 expression in MRO cells increased levels of MYC, FOSL1, SCL7A5 and Ki67. MRO cells were transfected with GFP vector alone, or GFP-XB130, GFP-XB130ΔN (XB130 N-terminus deletion mutant). GFP positive cells were collected by FACS. Western blotting revealed higher levels of MYC, FOSL1, SCL7A5 and Ki67, in comparison to GFP-alone transfected cells. The MYC and Ki67 levels in GFP-XB130ΔN transfected cells were also higher than that in GFP-alone cells.


Table S1

Significantly downregulated miRNAs in XB130 shRNA transfected cells.


Funding Statement

This work was supported by the Canadian Institutes of Health Research (CIHR) operating grants MOP-13270, MOP-42546 and MOP-119514. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


1. Flynn DC (2001) Adaptor proteins. Oncogene 20: 6270–6272 [PubMed]
2. Yamanaka D, Akama T, Fukushima T, Nedachi T, Kawasaki C, et al. (2012) Phosphatidylinositol 3-kinase-binding protein, PI3KAP/XB130, is required for cAMP-induced amplification of IGF mitogenic activity in FRTL-5 thyroid cells. Mol Endocrinol 26: 1043–1055 [PubMed]
3. Shiozaki A, Liu M (2011) Roles of XB130, a novel adaptor protein, in cancer. J Clin Bioinforma 1: 10. [PMC free article] [PubMed]
4. Csiszar A (2006) Structural and functional diversity of adaptor proteins involved in tyrosine kinase signalling. Bioessays 28: 465–479 [PubMed]
5. Dorfleutner A, Stehlik C, Zhang J, Gallick GE, Flynn DC (2007) AFAP-110 is required for actin stress fiber formation and cell adhesion in MDA-MB-231 breast cancer cells. J Cell Physiol 213: 740–749 [PubMed]
6. Zhang J, Park SI, Artime MC, Summy JM, Shah AN, et al. (2007) AFAP-110 is overexpressed in prostate cancer and contributes to tumorigenic growth by regulating focal contacts. J Clin Invest 117: 2962–2973 [PMC free article] [PubMed]
7. Xu J, Bai XH, Lodyga M, Han B, Xiao H, et al. (2007) XB130, a novel adaptor protein for signal transduction. J Biol Chem 282: 16401–16412 [PubMed]
8. Lodyga M, De Falco V, Bai XH, Kapus A, Melillo RM, et al. (2009) XB130, a tissue-specific adaptor protein that couples the RET/PTC oncogenic kinase to PI 3-kinase pathway. Oncogene 28: 937–949 [PubMed]
9. Shiozaki A, Shen-Tu G, Bai X, Iitaka D, De Falco V, et al. (2012) XB130 mediates cancer cell proliferation and survival through multiple signaling events downstream of Akt. PLoS One 7: e43646. [PMC free article] [PubMed]
10. Shiozaki A, Lodyga M, Bai XH, Nadesalingam J, Oyaizu T, et al. (2011) XB130, a novel adaptor protein, promotes thyroid tumor growth. Am J Pathol 178: 391–401 [PubMed]
11. Lodyga M, Bai XH, Kapus A, Liu M (2010) Adaptor protein XB130 is a Rac-controlled component of lamellipodia that regulates cell motility and invasion. J Cell Sci 123: 4156–4169 [PubMed]
12. Shiozaki A, Kosuga T, Ichikawa D, Komatsu S, Fujiwara H, et al. (2012) XB130 as an Independent Prognostic Factor in Human Esophageal Squamous Cell Carcinoma. Ann Surg Oncol. [PubMed]
13. Shi M, Huang W, Lin L, Zheng D, Zuo Q, et al. (2012) Silencing of XB130 is associated with both the prognosis and chemosensitivity of gastric cancer. PLoS One 7: e41660. [PMC free article] [PubMed]
14. Bartel DP (2004) MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116: 281–297 [PubMed]
15. Stefani G, Slack FJ (2008) Small non-coding RNAs in animal development. Nat Rev Mol Cell Biol 9: 219–230 [PubMed]
16. Schmittgen TD (2008) Regulation of microRNA processing in development, differentiation and cancer. J Cell Mol Med 12: 1811–1819 [PMC free article] [PubMed]
17. Rottiers V, Naar AM (2012) MicroRNAs in metabolism and metabolic disorders. Nat Rev Mol Cell Biol 13: 239–250 [PubMed]
18. Bueno MJ, Malumbres M (2011) MicroRNAs and the cell cycle. Biochim Biophys Acta 1812: 592–601 [PubMed]
19. He L, Thomson JM, Hemann MT, Hernando-Monge E, Mu D, et al. (2005) A microRNA polycistron as a potential human oncogene. Nature 435: 828–833 [PubMed]
20. He L, He X, Lim LP, de Stanchina E, Xuan Z, et al. (2007) A microRNA component of the p53 tumour suppressor network. Nature 447: 1130–1134 [PubMed]
21. Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, et al. (2005) MicroRNA expression profiles classify human cancers. Nature 435: 834–838 [PubMed]
22. Calin GA, Croce CM (2006) MicroRNA signatures in human cancers. Nat Rev Cancer 6: 857–866 [PubMed]
23. McKinsey EL, Parrish JK, Irwin AE, Niemeyer BF, Kern HB, et al. (2011) A novel oncogenic mechanism in Ewing sarcoma involving IGF pathway targeting by EWS/Fli1-regulated microRNAs. Oncogene 30: 4910–4920 [PubMed]
24. Chang S, Wang RH, Akagi K, Kim KA, Martin BK, et al. (2011) Tumor suppressor BRCA1 epigenetically controls oncogenic microRNA-155. Nat Med 17: 1275–1282 [PMC free article] [PubMed]
25. Suzuki HI, Yamagata K, Sugimoto K, Iwamoto T, Kato S, et al. (2009) Modulation of microRNA processing by p53. Nature 460: 529–533 [PubMed]
26. Lee DY, Jeyapalan Z, Fang L, Yang J, Zhang Y, et al. (2010) Expression of versican 3′-untranslated region modulates endogenous microRNA functions. PLoS One 5: e13599. [PMC free article] [PubMed]
27. Geraldo MV, Yamashita AS, Kimura ET (2012) MicroRNA miR-146b-5p regulates signal transduction of TGF-beta by repressing SMAD4 in thyroid cancer. Oncogene 31: 1910–1922 [PubMed]
28. Colamaio M, Borbone E, Russo L, Bianco M, Federico A, et al. (2011) miR-191 down-regulation plays a role in thyroid follicular tumors through CDK6 targeting. J Clin Endocrinol Metab 96: E1915–1924 [PubMed]
29. Braun J, Hoang-Vu C, Dralle H, Huttelmaier S (2010) Downregulation of microRNAs directs the EMT and invasive potential of anaplastic thyroid carcinomas. Oncogene 29: 4237–4244 [PubMed]
30. Liu W, Guo M, Ezzat S, Asa SL (2011) Vitamin D inhibits CEACAM1 to promote insulin/IGF-I receptor signaling without compromising anti-proliferative action. Lab Invest 91: 147–156 [PubMed]
31. Lodyga M, Bai XH, Mourgeon E, Han B, Keshavjee S, et al. (2002) Molecular cloning of actin filament-associated protein: a putative adaptor in stretch-induced Src activation. Am J Physiol Lung Cell Mol Physiol 283: L265–274 [PubMed]
32. Han B, Bai XH, Lodyga M, Xu J, Yang BB, et al. (2004) Conversion of mechanical force into biochemical signaling. J Biol Chem 279: 54793–54801 [PubMed]
33. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25: 402–408 [PubMed]
34. Xiao H, Bai XH, Wang Y, Kim H, Mak AS, et al. (2013) MEK/ERK pathway mediates PKC activation-induced recruitment of PKCzeta and MMP-9 to podosomes. J Cell Physiol 228: 416–427 [PubMed]
35. Shiozaki A, Bai XH, Shen-Tu G, Moodley S, Takeshita H, et al. (2012) Claudin 1 mediates TNFalpha-induced gene expression and cell migration in human lung carcinoma cells. PLoS One 7: e38049. [PMC free article] [PubMed]
36. Thomas M, Lange-Grunweller K, Weirauch U, Gutsch D, Aigner A, et al. (2012) The proto-oncogene Pim-1 is a target of miR-33a. Oncogene 31: 918–928 [PubMed]
37. Liu H, Brannon AR, Reddy AR, Alexe G, Seiler MW, et al. (2010) Identifying mRNA targets of microRNA dysregulated in cancer: with application to clear cell Renal Cell Carcinoma. BMC Syst Biol 4: 51. [PMC free article] [PubMed]
38. Uhlmann S, Mannsperger H, Zhang JD, Horvat EA, Schmidt C, et al. (2012) Global microRNA level regulation of EGFR-driven cell-cycle protein network in breast cancer. Mol Syst Biol 8: 570. [PMC free article] [PubMed]
39. Yu Z, Jian Z, Shen SH, Purisima E, Wang E (2007) Global analysis of microRNA target gene expression reveals that miRNA targets are lower expressed in mature mouse and Drosophila tissues than in the embryos. Nucleic Acids Res 35: 152–164 [PMC free article] [PubMed]
40. Calin GA, Croce CM (2006) MicroRNAs and chromosomal abnormalities in cancer cells. Oncogene 25: 6202–6210 [PubMed]
41. Kim VN (2005) MicroRNA biogenesis: coordinated cropping and dicing. Nat Rev Mol Cell Biol 6: 376–385 [PubMed]
42. Schweppe RE, Klopper JP, Korch C, Pugazhenthi U, Benezra M, et al. (2008) Deoxyribonucleic acid profiling analysis of 40 human thyroid cancer cell lines reveals cross-contamination resulting in cell line redundancy and misidentification. J Clin Endocrinol Metab 93: 4331–4341 [PubMed]
43. Alitalo K, Schwab M, Lin CC, Varmus HE, Bishop JM (1983) Homogeneously staining chromosomal regions contain amplified copies of an abundantly expressed cellular oncogene (c-myc) in malignant neuroendocrine cells from a human colon carcinoma. Proc Natl Acad Sci U S A 80: 1707–1711 [PubMed]
44. Cerutti J, Trapasso F, Battaglia C, Zhang L, Martelli ML, et al. (1996) Block of c-myc expression by antisense oligonucleotides inhibits proliferation of human thyroid carcinoma cell lines. Clin Cancer Res 2: 119–126 [PubMed]
45. Yoshioka K, Deng T, Cavigelli M, Karin M (1995) Antitumor promotion by phenolic antioxidants: inhibition of AP-1 activity through induction of Fra expression. Proc Natl Acad Sci U S A 92: 4972–4976 [PubMed]
46. Young MR, Colburn NH (2006) Fra-1 a target for cancer prevention or intervention. Gene 379: 1–11 [PubMed]
47. Kim YH, Oh JH, Kim NH, Choi KM, Kim SJ, et al. (2001) Fra-1 expression in malignant and benign thyroid tumor. Korean J Intern Med 16: 93–97 [PubMed]
48. Kobayashi H, Ishii Y, Takayama T (2005) Expression of L-type amino acid transporter 1 (LAT1) in esophageal carcinoma. J Surg Oncol 90: 233–238 [PubMed]
49. Furuya M, Horiguchi J, Nakajima H, Kanai Y, Oyama T (2012) Correlation of L-type amino acid transporter 1 and CD98 expression with triple negative breast cancer prognosis. Cancer Sci 103: 382–389 [PubMed]
50. Miko E, Margitai Z, Czimmerer Z, Varkonyi I, Dezso B, et al. (2011) miR-126 inhibits proliferation of small cell lung cancer cells by targeting SLC7A5. FEBS Lett 585: 1191–1196 [PubMed]
51. Kim CH, Park KJ, Park JR, Kanai Y, Endou H, et al. (2006) The RNA interference of amino acid transporter LAT1 inhibits the growth of KB human oral cancer cells. Anticancer Res 26: 2943–2948 [PubMed]
52. Bader AG, Brown D, Stoudemire J, Lammers P (2011) Developing therapeutic microRNAs for cancer. Gene Ther 18: 1121–1126 [PubMed]

Articles from PLoS ONE are provided here courtesy of Public Library of Science