Si-RNA mediated knockdown of CELF1 gene suppressed the proliferation of human lung cancer cells
© Wu et al.; licensee BioMed Central Ltd. 2013
Received: 17 June 2013
Accepted: 14 November 2013
Published: 15 November 2013
Lung cancer is the leading cause of cancer-related death in the world, with metastasis as the main reason for the mortality. CELF1 is an RNA-binding protein controlling the post-transcriptional regulation of genes related to cell survival. As yet, there is little knowledge of CELF1 expression and biological function in lung cancer. This study investigated the expression levels of CELF1 in lung cancer tissues and the biological function of CELF1 in lung cancer cells.
CELF1 mRNA expression was determined in lung cancer and normal tissues, and the relationship between the expression level of CELF1 and clinicopathological parameters was evaluated. The biological function of CELF1 in A549 and H1299 lung cancer cell lines growth was examined.
The expression of CELF1 was higher in human lung cancer tissues compared with the normal lung tissue. Lentiviral-mediated transfection of CELF1 siRNA effectively silenced the expression of CELF1 in both A549 and H1299 cells. Moreover, CELF1 knockdown markedly reduced the survival rate of lung cancer cells. Colony formation assays revealed a reduction in the number and size of lung cancer cell colonies from CELF1 knockdown.
These results indicated that CELF1 may have significant roles in the progression of lung cancer, and suggested that siRNA mediated silencing of CELF1 could be an effective tool in lung cancer treatment.
Lung cancer is one of the leading causes of cancer-related deaths worldwide . Studies have shown that the genes and target proteins involved in lung cancer function in cell proliferation , apoptosis , and angiogenesis  pathways. Identifying a mechanism that inhibits the growth of lung cancer metastasis would be useful in developing potential treatments for lung cancer. Veale D et al. first reported the epidermal growth factor receptor (EGFR) was associated with spread of human non-small cell lung cancer and might be a potential therapeutic target in many carcinomas . Now, the EGFR superfamily is well known to promote cancer cell growth, and has become a therapeutic target for lung cancer and changed the lung cancer treatment model. By exploring new cancer-related genes and clearly identifying the roles of these genes in tumor development and progression, not only can we obtain a deeper understanding of the nature of tumors, but we can also discover new tumor therapeutic targets.
The CELF (CUGBP and Etr-like factors) family proteins are major sequence-specific RNA binding proteins that control alternative splicing and mRNA translation and stability [6, 7]. Some reports have demonstrated that CELF1 protein regulates pre-mRNA alternative splicing and is involved in mRNA editing and translation [8–10]. Whether the expression of the CELF1 gene is related to the proliferation of human lung cancer has not been investigated.
Here we investigated the relationship between CELF1 expression and lung cancer clinicopathological factors at the RNA level and clarified the physiological impact of CELF1 on lung cancer cell growth at the cellular level.
Expression of CELF1 in lung cancer tissues
Expression level of CELF1 in lung carcinoma and relationship to clinicopathological parameters
CELF1 expression (RQ: 2-ΔΔCT)
Mean ± SEM
1.2458 ± 0.9115
0.8938 ± 103.53
1.0103 ± 0.8746
1.4035 ± 1.4948
1.2302 ± 1.2217
0.9687 ± 0.9781
1.396 ± 1.1033
1.5178 ± 1.2898
0.8040 ± 0.7079
0.8109 ± 1.4910
0.9983 ± 1.1184
1.4731 ± 1.4334
1.2142 ± 1.0611
Lymph node status
0.9983 ± 1.1184
N1 + N2
1.3159 ± 1.2020
1.4055 ± 1.3481
1.4397 ± 0.9834
2.1861 ± 1.7131
0.7331 ± 0.5595
1.1535 ± 1.2526
0.2747 ± 0.3882
0.8122 ± 0.5568
1.1866 ± 1.1315
1.2476 ± 1.3613
1.9005 ± 1.4382
0.4579 ± 0.4761
Effect of CELF1 siRNA on the expression levels of CELF1 in lung cancer cells
Effect of CELF1 knockdown on the survival of lung cancer cells
Effect of CELF1 knockdown on the colony forming ability of lung cancer cells
With increasing mortality rates, lung carcinoma has already become the leading cause of cancer mortality in the world . Many genes are subjected to post-transcriptional regulation via control of the rate of mRNA turnover for transcripts bearing destabilizing cis-elements . Among the very few regulatory factors identified thus far, CELF1 regulates post-transcriptional gene expression by facilitating alternative splicing, translation , and mRNA degradation, and it functions by binding directly to RNA . Rattenbacher et al. identified the CELF1 gene and its target proteins as a critical posttranscriptional regulatory network that may play a role in the development of cancer . In addition to reports of involvement in breast cancer and leukemia development, the CELF1 gene may also play a significant role in tumorigenesis and the deterioration of certain tumors , which is also confirmed by the results in our present study.
Timchenko et al. first identified CELF1 function in the regulation of translation of C/EBP beta isoforms . Subsequent research demonstrated that members of this protein family regulate pre-mRNA alternative splicing and may also be involved in mRNA editing and translation . The CELF1 gene may play a role in myotonic dystrophy type 1 (DM1) via interactions with the dystrophia myotonica-protein kinase (DMPK) gene . A previous report identified a correlation between the expression of CELF1 and human lung cancer . However, the cellular mechanism underlying how the CELF1 gene causes this phenomenon has not been clarified. Together these findings implicate possible involvement of the CELF1 gene in cell growth. So far there is no literature reporting the biological function of CELF1 gene in lung cancer cell. We speculate that CELF1 may also play an important role in lung cancer proliferation.
Our research primarily focused on the effect of CELF1 knockdown on the viability of lung cancer cells. As shown in the results, the expression of CELF1 was higher in human lung cancer tissues compared with normal tissues. Moreover, A549 and H1299 lung cancer cells also exhibited CELF1 expression in mRNA and protein level. Lentiviral-mediated delivery of CELF1 silencing siRNA significantly inhibited these upregulated levels of CELF1 expression, demonstrating that the CELF1 knockdown method was successful. Further in vivo studies should be performed to confirm the use of this siRNA method as a potential therapeutic tool.
Interestingly, upon knockdown of CELF1, the survival rates and colony forming ability of lung cancer cells were markedly reduced, indicating pivotal roles of CELF1 in the survival of lung cancer cells. Reports in the literature have suggested that upregulation of CELF1 increased the turnover of oncogenes related to the proliferation of lung cancer cells [7, 9, 18]. Hence, in the absence of CELF1, the turnover of possible oncogenes could presumably decrease, consistent with the cancer cells showing decreased capacity of proliferation and colony formation. Our study showed that CELF1 is overexpressed in lung cancer tissue on RNA level compared with the normal lung tissue and tumor grades had relationship with CELF1 expression level, which is line with the hypothesis mentioned above.
From these results, we can conclude that CELF1 can affect the growth of lung cancer cells and plays an important role in the tumor development process. Further research on the molecular mechanisms of the CELF1 gene is required, particularly in identifying CELF1-interacting proteins, elucidating the molecular mechanisms underlying its biological effects, and determining whether it plays a guiding role in the treatment of lung cancer.
In summary, CELF1 may have significant roles in the progression of lung carcinoma. The CELF1 siRNA method has emerged as a potentially powerful tool for cancer therapeutics in silencing genes responsible for cancer progression and tumorigenesis.
Materials and methods
Human specimens and reagents
Fifty-three pulmonary cancer samples of fresh frozen tissue were acquired from the Department of Thoracic Surgery, Beijing cancer hospital, under approval from the Ethical Committee. Written consent statements were obtained from all patients before operation. None of the patients received any neoadjuvant therapy prior to surgery. The tissues were collected immediately after surgical resection at the Beijing Cancer Hospital and stored at the Tissue Bank of Peking University Oncology School. Clinicopathological characteristics of the tumors were defined according to the TNM staging system criteria of UICC. Clinicopathological factors are shown in Table 1.
AgeI, EcoRI, and SYBRGreen Master Mix Kits were purchased from TaKaRa (Dalian, China). pHelper1.0, pHelper 2.0, and pGCSIL-GFP plasmids were purchased from Genechem Co. Ltd (Shanghai, China). The RNeasy Midi Kit was from Qiagen (Valencia, CA, USA). Dulbecco’s modified Eagle’s medium (DMEM), Roswell Park Memorial Institute 1640 (RPMI 1640) and fetal bovine serum (FBS) were obtained from Hyclone (Logan, UT, USA). Lipofectamine2000, TRIzol and SuperScriptII reverse transcriptase were purchased from Invitrogen (Carlsbad, CA, USA). All other chemicals were obtained from Sigma (St. Louis, MO, USA). The following antibodies were obtained from Santa Cruz: anti-CELF1 (1:1000 dilution), anti-GAPDH (glyceraldehyde-3-phosphate dehydrogenase, 1:3000 dilution) and anti-mouse HRP (1:5000 dilution).
Human lung cancer cells (A549 and H1299) and human embryonic kidney (HEK) 293 T cell lines were obtained from the cell bank of Shanghai Institute of Cell Biology. A549 and 293 T cells were maintained in DMEM supplemented with 10% heat-inactivated FBS and penicillin/streptomycin at 37°C in a humidified atmosphere of 5% CO2. H1299 cells were maintained in RPMI 1640 medium supplemented with 10% heat-inactivated FBS and penicillin/streptomycin at 37°C in a humidified atmosphere of 5% CO2.
Construction of CELF1 shRNA-containing lentivirus and infection
The sequences of CELF1 siRNA and non-silencing control siRNA were 5′-CTAGCCGGGATTGAAGAATGCCGGATATTCAAGAGATATCCGGCATTCTTCAATCTTTTTAAT-3′ and 5′-CTAGCCCGGTTCTCCGAACGTGTCACGTATCTCGAGATACGTGACACGTTCGGAGAATTTTTTTAAT-3′, respectively. The nucleotide sequences were inserted into the plasmid through the pFH-L vector (Shanghai Hollybio, China) and the generated lentiviral-based shRNA-expressing vectors were confirmed by DNA sequencing. Lentiviruses were generated by transfection of 293 T cells at 80% confluence with generated plasmids. The cells were starved for 2 h before transfection, and pFH-L-shCELF1 or -shCTRL and the packaging vector carriers pVSVG-I and PCMVΔR8.92 were transfected into cells using Lipofectamine 2000. The supernatant was collected 48 h after transfection and lentiviral particles were harvested by ultracentrifugation (4000 g) at 4°C for 10 min. The collected virus particles were filtered through a 45 μM filter and the filtrate was centrifuged (4000 g at 4°C) for 15 min to collect the viral concentrate.
A549 and H1299 cancer cells were then infected with CELF1 shRNA- or control shRNA-expressing lentiviruses at a MOI of 30 for A549 cells or MOI of 15 for H1299 cells. The cells were seeded (5 × 104 cells per well) in six-well plates, and after 24 h of incubation, the culture medium was replaced with Opti-MEM medium containing the appropriate amount of the virus. The cells were then incubated with the virus for another 48 h. Successful transfection was confirmed by observation through a fluorescence microscope (Leica, Germany) for expression of green fluorescence protein.
Real-time PCR analysis
RNA was obtained using the Total RNA Isolation Reagent (ABgene™) according to the manufacturer’s instructions (Abgene, Surrey, UK). Total RNA was converted to cDNA using DuraScript™, a commercial reverse transcription kit from Sigma Aldrich. Real-time quantitative PCR analysis for the RNA extracted from lung cancer tissues and cultured lung cancer cells was performed using the SYBR Green Master Mix Kit (Applied Biosystems, Foster City, CA). In brief, each PCR reaction mixture contained 10 μl of 2 × SYBR Green Master Mix, 0.4 μl of sense and antisense primers (2.5 μM) and 10 ng of cDNA. Reactions were run for 40 cycles, including denaturation at 95°C for 10 min and annealing at 60°C for 1 min in a total volume of 20 μl using an ABI 7500 Real Time PCR platform. The primer sequences for PCR amplification of the CELF1 gene were 5′-ACCTGTTCATCTACCACCTG-3′ and 5′-GGCTTGCTGTCATTCTTCG-3′. Primer sequences for the internal control GAPDH were 5′-GACCCCTTCATTGACCTCAAC-3′ and 5′-CTTCTCCATGGTGGTGAAGA-3′. Relative gene expression levels were calculated using 2-ΔΔCT analysis.
Western blot analysis
A549 and H1299 cells were infected with the lentivirus containing CELF1 shRNA and control shRNA for five days. The cells were then washed with cold PBS and lysed with radio-immune precipitation assay (RIPA) buffer (50 mM Tris, pH 7.5, 150 mM NaCl, 1% NP-40, 0.5% sodium deoxycholate, 0.1% SDS) containing phenylmethylsulfonyl fluoride (PMSF) (1 mM) and protease inhibitors (2 μg/ml; Protease Inhibitor Cocktail Set III, Calbiochem) on ice for 30 min. The supernatant was collected after centrifuging the cell lysate (12,000 × g for 15 min) and the protein content was measured by the Lowry method. The protein concentration of each sample was adjusted to 2 μg/μl and a 20 μl volume was mixed with 2 × SDS sample buffer (100 mM Tris–HCl, pH 6.8, 10 mM EDTA, 4% SDS, 10% glycine) and separated by electrophoresis on a 10% SDS-PAGE gel at 50 V for 3 h. The gel was transferred to a PVDF membrane at 300 mA for 1.5 h, and proteins were detected after primary antibody treatment overnight at 4°C and secondary antibody treatment for 2 h at room temperature using an Amersham ECL kit (GE Healthcare, UK) and exposure to X-ray film. The bands obtained were quantified with an Image Quant densitometric scanner (Molecular Dynamics, Amersham Biosciences).
For the cell viability analysis, A549 and H1299 cells were first seeded (2 × 103 cells/well) into a 96-well plate and infected with CELF1 silencing or non-silencing siRNA-containing lentivirus for 72 h. Following infection, 20 μl of MTT solution (5 mg/ml) was added to each well and cells were incubated at 37°C for 4 h. The medium and MTT from the wells was removed and 200 μl of DMSO was added to each well. The optical density was measured using a microplate reader at 490 nm. Experiments were performed in triplicate.
Colony formation assay
Lung cancer cells seeded in six-well plates (2 × 102 cells/well) were infected with CELF1 silencing and non-silencing siRNA-containing lentivirus for 72 h. The cells were continuously incubated, and medium was replaced with new medium every three days until 8 days of culture. The cells were then washed with PBS and fixed with 4% paraformaldehyde. The fixed cells were stained with freshly prepared diluted Giemsa stain for 20 min. The cells were washed with double distilled water and colonies were counted using a fluorescence microscope.
Written informed consent was obtained from the patients before operation.
The authors wish to thank Yinan Liu for clinical data collection support; Xinyuan Lao for checking grammar error. This study was supported by Beijing Science New Star Plan (Z11111005450000).
- Parkin DM, Pisani P, Ferlay J: Global cancer statistics. CA: Cancer J Clin. 1999, 49 (1): 33-64. 10.3322/canjclin.49.1.33. 31Google Scholar
- Caldon CE, Lee CS, Sutherland RL, Musgrove EA: Wilms’ tumor protein 1: an early target of progestin regulation in T-47D breast cancer cells that modulates proliferation and differentiation. Oncogene. 2008, 27 (1): 126-138. 10.1038/sj.onc.1210622.View ArticlePubMedGoogle Scholar
- Yang M, Yuan F, Li P, Chen Z, Chen A, Li S, Hu C: Interferon regulatory factor 4 binding protein is a novel p53 target gene and suppresses cisplatin-induced apoptosis of breast cancer cells. Mol Cancer. 2012, 11: 54-10.1186/1476-4598-11-54.PubMed CentralView ArticlePubMedGoogle Scholar
- Klos KS, Wyszomierski SL, Sun M, Tan M, Zhou X, Li P, Yang W, Yin G, Hittelman WN, Yu D: ErbB2 increases vascular endothelial growth factor protein synthesis via activation of mammalian target of rapamycin/p70S6K leading to increased angiogenesis and spontaneous metastasis of human breast cancer cells. Cancer Res. 2006, 66 (4): 2028-2037. 10.1158/0008-5472.CAN-04-4559.View ArticlePubMedGoogle Scholar
- Veale D, Ashcroft T, Marsh C, Gibson GJ, Harris AL: Epidermal growth factor receptors in non-small cell lung cancer. British J Cancer. 1987, 55 (5): 513-516. 10.1038/bjc.1987.104.View ArticleGoogle Scholar
- Timchenko NA, Welm AL, Lu X, Timchenko LT: CUG repeat binding protein (CUGBP1) interacts with the 5’ region of C/EBPbeta mRNA and regulates translation of C/EBPbeta isoforms. Nucleic Acids Res. 1999, 27 (22): 4517-4525. 10.1093/nar/27.22.4517.PubMed CentralView ArticlePubMedGoogle Scholar
- Chang ET, Donahue JM, Xiao L, Cui Y, Rao JN, Turner DJ, Twaddell WS, Wang JY, Battafarano RJ: The RNA-binding protein CUG-BP1 increases survivin expression in oesophageal cancer cells through enhanced mRNA stability. Biochem J. 2012, 446 (1): 113-123. 10.1042/BJ20120112.PubMed CentralView ArticlePubMedGoogle Scholar
- Rattenbacher B, Beisang D, Wiesner DL, Jeschke JC, Von Hohenberg M, St Louis-Vlasova IA, Bohjanen PR: Analysis of CUGBP1 targets identifies GU-repeat sequences that mediate rapid mRNA decay. Mol Cell Biol. 2010, 30 (16): 3970-3980. 10.1128/MCB.00624-10.PubMed CentralView ArticlePubMedGoogle Scholar
- Zheng Y, Miskimins WK: CUG-binding protein represses translation of p27Kip1 mRNA through its internal ribosomal entry site. RNA Biol. 2011, 8 (3): 365-371. 10.4161/rna.8.3.14804.PubMed CentralView ArticlePubMedGoogle Scholar
- Ward AJ, Rimer M, Killian JM, Dowling JJ, Cooper TA: CUGBP1 overexpression in mouse skeletal muscle reproduces features of myotonic dystrophy type 1. Hum Mol Gen. 2010, 19 (18): 3614-3622. 10.1093/hmg/ddq277.PubMed CentralView ArticlePubMedGoogle Scholar
- Kang S, Koh ES, Vinod SK, Jalaludin B: Cost analysis of lung cancer management in South Western Sydney. J Med Imaging Radiat Oncol. 2012, 56 (2): 235-241. 10.1111/j.1754-9485.2012.02354.x.View ArticlePubMedGoogle Scholar
- Benjamin D, Moroni C: mRNA stability and cancer: an emerging link?. Expert Opinion Biol Ther. 2007, 7 (10): 1515-1529. 10.1517/14712522.214.171.1245.View ArticleGoogle Scholar
- Cui YH, Xiao L, Rao JN, Zou T, Liu L, Chen Y, Turner DJ, Gorospe M, Wang JY: miR-503 represses CUG-binding protein 1 translation by recruiting CUGBP1 mRNA to processing bodies. Mol Biol Cell. 2012, 23 (1): 151-162. 10.1091/mbc.E11-05-0456.PubMed CentralView ArticlePubMedGoogle Scholar
- Vlasova-St Louis I, Bohjanen PR: Coordinate regulation of mRNA decay networks by GU-rich elements and CELF1. Curr Opin Gen Dev. 2011, 21 (4): 444-451. 10.1016/j.gde.2011.03.002.View ArticleGoogle Scholar
- Jones K, Timchenko L, Timchenko NA: The role of CUGBP1 in age-dependent changes of liver functions. Ageing Res Rev. 2012, 11 (4): 442-449. 10.1016/j.arr.2012.02.007.PubMed CentralView ArticlePubMedGoogle Scholar
- Devi GR: siRNA-based approaches in cancer therapy. Cancer Gene Ther. 2006, 13 (9): 819-829. 10.1038/sj.cgt.7700931.View ArticlePubMedGoogle Scholar
- Jiao W, Zhao J, Wang M, Wang Y, Luo Y, Zhao Y, Tang D, Shen Y: CUG-binding protein 1 (CUGBP1) expression and prognosis of non-small cell lung cancer. Clin Transl Oncol. 2013, 15 (10): 789-795. 10.1007/s12094-013-1005-5.View ArticlePubMedGoogle Scholar
- Talwar S, Balasubramanian S, Sundaramurthy S, House R, Wilusz CJ, Kuppuswamy D, D’Silva N, Gillespie MB, Hill EG, Palanisamy V: Overexpression of RNA-binding protein CELF1 prevents apoptosis and destabilizes pro-apoptotic mRNAs in oral cancer cells. RNA Biol. 2013, 10 (2): 277-286. 10.4161/rna.23315.PubMed CentralView ArticlePubMedGoogle Scholar
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