Establishment of an miR‑137‑knockout cell model using CRISPR/Cas9 genome editing

  • Authors:
    • Wei Chen
    • Qi Li
    • Jingjie Du
    • Xiaodi Li
    • Songshan Jiang
    • Yuanli He
  • View Affiliations

  • Published online on: July 6, 2018     https://doi.org/10.3892/ol.2018.9096
  • Pages: 4027-4032
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

MicroRNA‑137 (miR‑137) has been reported to be abnormally expressed in a variety of types of cancer, including ovarian cancer. However, the roles served by miR‑137 in cancer are not fully understood. In the present study, 3 single guide RNAs (sgRNAs) were designed, synthesized and inserted into pXPR001 plasmids. The pXPR001‑sgRNA plasmids were verified using sequencing and integrated into the genome of the ovarian cancer cell line, A2780, through lentiviral transduction, puromycin selection and single‑cell culture. PCR products amplified from single‑cell cultures using primers covering miR‑137 targeting sites were sequenced to identify clones with miR‑137 gene disruption. Genome editing was detected in 72% of the clones derived from sgRNA2, 4% from sgRNA3 and 0% from sgRNA1. Of the clones from sgRNA2, 32% contained 1 edited miR‑137 allele and 40% contained 2 edited miR‑137 alleles. The expression of miR‑137 in clones #2 and #3 could not be detected by reverse transcription‑­quantitative polymerase chain reaction. In addition, an MTT assay demonstrated that clones #2 and #3 exhibited enhanced proliferation. In conclusion, an miR‑137‑knockout cell model was successfully established in A2780 cells using CRISPR/Cas9 technology.

Introduction

MicroRNAs (miRNAs) are a class of small non-coding RNA of 18–24 nucleotides, which post-transcriptionally regulate the translation or degradation of protein-coding genes through imperfect base pairing with the 3′-untranslated region of target mRNAs (1). miRNAs are believed to be linked to tissue morphogenesis and cellular processes, e.g. apoptosis and major signaling pathways (2). For example, the miR-23a/24-2/27a cluster promotes cell invasion and metastasis by targeting Sprouty2 in breast cancer (3). It is reported that >60% of human protein-coding genes are regulated by miRNAs (4). As miRNAs may regulate the expression of tumor-associated genes in multiple tumor types, they are considered to be potential therapeutic targets (5,6).

MicroRNA-137 (miR-137) is located on chromosome 1p22 and functions as a tumor suppressor by targeting a number of oncogenic mRNAs (710). Recent studies have demonstrated that miR-137 is downregulated in various types of tumor, suggesting that it can be regarded as a negative regulator of certain tumor-associated genes. For example, miR-137 acts as a tumor suppressor by directly targeting carboxyl-terminal binding protein 1 to inhibit the epithelial-mesenchymal transition and induce the apoptosis of melanoma cells (11). miR-137 inhibits the invasive ability of melanoma cells through the downregulation of melanogenesis associated transcription factor, enhancer of zeste 2 polycomb repressive complex 2 subunit, c-Met and Y-box binding protein 1 (12). To the best of our knowledge, only astrocyte elevated gene-1 has been reported as a target of miR-137 in human ovarian cancer (13). The function of miR-137 in ovarian cancer remains to be elucidated. The miR-137-knockout cell model established in the present study using a CRISPR/Cas9 editing approach will provide a useful platform for the functional study of ovarian cancer.

Clustered regularly interspaced short palindromic repeats (CRISPR) are a distinctive feature of the genomes of bacteria and archaea (14). Together with CRISPR-associated system (Cas) genes, they are hypothesized to be involved in resistance to bacteriophages, and resistance specificity is determined by spacer-phage sequence similarity (15). The strategy was first documented in 1987 when Ishino et al (16) were studying the isozyme conversion of alkaline phosphatase in Escherichia coli. The CRISPR/Cas9 system, consisting of Cas9 protein and guide RNA (gRNA), utilizes the type II prokaryotic CRISPR/Cas9 adaptive immune system and targets the Cas9 nuclease by a 20 nucleotide guide sequence cloned upstream of a 5′-NGG protospacer adjacent motif (17).

Genome editing using CRISPR/Cas9 is hypothesized to be a more efficient strategy than designer nuclease technologies, including zinc-finger nucleases and transcription activator-like effectors, for the generation of genetically modified cells and organisms (18,19). These easily engineered systems are increasingly being employed and have successfully knocked out or edited protein-coding genes in several model organisms and a variety of cell lines (2025). Zhao et al (26) have reported the silencing of non-coding miRNA genes using CRISPR/Cas9. This suggested that miR-30a-5p and miR-21 could be edited in cells, and stimulated the production of the present study, in which an miR-137 gene knockout A2789 cell model was constructed using this technology. This may provide the basis for the functional study of miR-137 in ovarian cancer.

Materials and methods

Design of the sgRNAs

The sgRNAs targeting miR-137 were designed using CRISPR DESIGN (http://crispr.mit.edu/). A total of 320-bp sequences upstream of 5′-NGG were chosen as sgRNAs, and BsmBIsticky ends were attached to flank the sgRNAs. The pairs of oligonucleotides designed for the miR-137 site sequences (Fig. 1A) were sgRNA1, forward, 5′-CACCGCCTCTGACTCTCTTCGGTGA-3′ and reverse, 5′-AAACTCACCGAAGAGAGTCAGAGGC-3′; sgRNA2, forward, 5′-CACCGCTTAAGAATACGCGTAGTC-3′ and reverse, 5′-AAACCGACTACGCGTATTCTTAAGC-3′; sgRNA3, forward, 5′-CACCGCTAAACGCCCGTGGTTGCCA-3′, and reverse, 5′-AAACTGGCAACCACGGGCGTTTAGC-3′.

Construction of sgRNA expression vectors

Each oligonucleotide was diluted to 10 µM, and each pair of oligonucleotides were mixed in equal volumes. Next, 1 µl combined oligonucleotides, 1 µl annealing buffer and 6 µl water were mixed in a total reaction volume of 8 µl, placed in boiling water for 10 min and then decreased to 25°C. The annealed oligonucleotides were added 1 µl ligation buffer and ligated with BsmB1-digested linearized pXPR001 plasmids (1 µl). The ligation mix was transformed into competent Dh5α E. coli cells (Shanghai DingGuo Biotech., Co., Ltd., Shanghai, China) and the constructs were confirmed by sequencing.

Cell lines and cell culture

293T and A2780 cells from the American Type Culture Collection (Manassas, VA, USA) were cultured in Dulbecco's modified Eagle's medium or RPMI, respectively, supplemented with 10% fetal bovine serum and penicillin/streptomycin (100 U/ml; Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA), and maintained in an incubator at 37°C with 5% CO2.

Virus generation and infection

293T cells (8×105) were seeded in a 6-cm plate 1day prior to transfection. Co-transfection of the 1.8 µg pPAX2 packaging plasmid, 0.8 µg pMD2.G envelope plasmid and 2.5 µg pXPR001-sgRNA vector was performed using Fugene HD transfection reagent (Roche Diagnostics, Basel, Switzerland). A total of 48 h after transfection, viral supernatants were harvested and stored at −80°C.

Single-cell culture and selection of miR-137-knockout clones

A2780 cells were seeded in a 6-well plate at 4×105 cells/well and 100 µl viral supernatants were added 24 h later. Puromycin (800 ng/ml)was added 1 day after transduction for a 2-day period of selection. The remaining cells were sorted into 96-well plates by flow cytometry for single-cell culture. When the cells reached a certain density, they were then transferred to 24-well plates. In total, ~500 cells were used for direct identification using PCR. These cells were directly added to 25 µl PCR system. The PCR system consisted of 12.5 µl 2× PCR Buffer for KOD FX, 5 µl 2 mm dNTP, 1.5 µl positive and 5 µM reverse primers, 2 µl PCR template cells and 4 µl ddH2O. Polymerase chain reaction (PCR) was performed using KOD FX DNA polymerase (Toyobo Life Science, Osaka, Japan), using primers covering the 3 miR-137 targeting sites to identify the cell clones with miR-137 gene disruption. The primer sequences used were as follows: forward, 5′-TGGATCCTTCTTTAGGGAAATCGAGT-3′, reverse, 5′-GAAAACACCCGAGGAAATGAAAAGAAC-3′. Thermocycling took place as follows: denaturation at 95°C for 5 min, followed by 35 cycles of denaturation at 98°C for 10 sec, annealing and extension at 68°C for 40 sec. The PCR products were separated in a 1.5% agarose gel, and were extracted from the gel using a gel purification kit (Omega Bio-Tek, Inc., Norcross, GA, USA). The sequence of the sgRNA2 construct is illustrated in Fig. 1B.

RNA extraction & reverse transcription-quantitative (RT-q)PCR

Total RNA was extracted from the cells with TRIzol (Invitrogen; Thermo Fisher Scientific, Inc.) and was reverse transcribed by ReverTraAce-α-Transcriptase (Toyobo Life Science), according to the manufacturers' protocol. The expression of miR-137 in cell lines was quantified using a SYBR® Premix Ex Taq™ II (TliRNaseH Plus) kit (Takara Bio, Inc., Otsu, Japan); U6 was used as an internal control. Thermocycling was performed using a Light Cycler 480 Real-Time PCR system (Roche Diagnostics, Basel, Switzerland) with the following conditions: denaturation at 95°C for 5 min, followed by 40 cycles of denaturation at 95°C for 10 sec, annealing at 60°C for 20 sec, and extension at 72°C for 30 sec. The data were analyzed using LightCycler 480 software version 1.5 (Roche Diagnostics, Basel, Switzerland). The relative fold changes of miR-137 expression in the miR-137-knockout cells vs. control cells were calculated using the 2−ΔΔCq method (27). The primers used were as follows: miR-137RT: 5′-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGCTACGCGT-3′, miR-137 forward, 5′-CCAGCTGGGTTAAGAATACGCGTAG-3′, miR-137 reverse, 5′-CTGGTGTCGTGGAGTCGGCAATT-3′; U6 RT, 5′-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGAAAAATATG-3′, U6 forward, 5′-CTCGCTTCGGCAGCACA-3′, U6 reverse, 5′-AACGCTTCACGAATTTGCGT-3′.

MTT assay

A2780 cells and miR-137-knockout single-cell clones derived from A2780 cells were seeded in a 96-well plate at 1×104 cells/well. At 72 h, 5 mg/ml MTT was added to the medium, and the plate was incubated in a 37°C, 5% CO2 incubator for 4 h. DMSO was added at a volume of 100 ml/well, and the plate was thoroughly mixed for 10 min. The absorbance of the samples was measured at 490 nm by a microplate reader (BioTek Instruments, Inc., Winooski, VT, USA).

Statistical analysis

GraphPad Prism (version 5.0; GraphPad Software, Inc., La Jolla, CA, USA) was used for data analysis. The data are presented as the mean ± standard deviation of ≥3 separate experiments and were analyzed using one-way analysis of variance and Dunnett's post-hoc test). P<0.05 was considered to indicate a statistically significant difference. P<0.05, 0.01, 0.001 or 0.0001 are indicated by asterisks *, **, ***, or ****, respectively.

Results

Selection of the single-cell cultures with miR-137-knockout

The expression level of miR-137 in A2780 was the highest in a panel of 7 ovarian cancer cell lines (data not shown). Therefore, A2780 cells were selected for the establishment of the miR-137-knockout cell model. Single-cell cultures exhibitingmiR-137-knockout were selected according to the process illustrated in Fig. 2A. The transduced cells were selected in 800 nM puromycin for 2 days, and the single-cell cultures with miR-137 disruption were identified via sequencing the PCR products (Fig. 2B) amplified from single-cell cultures using primers extending across the 3 miR-137-targeting sites.

A total of 25 single-cell cultures transduced with each sgRNA were selected for miR-137-knockout identification. None of the sgRNA1 cultures were positive for miR-137-knockout; however, 18/25 single-cell cultures of sgRNA2 and 1/25 single-cell cultures of sgRNA3 were positive for miR-137-knockout. This demonstrated a higher gene knockout efficiency of sgRNA2. Further analysis demonstrated that 32% of the sgRNA2 single-cell cultures had 1allele of miR-137 edited, and 40% had 2alleles edited. For example, in the target site region of clone #2, a 2-allele knockout single-cell culture, there were 17 and 7-base deletions for each allele. In the target site region of clone #3, another 2-allele knockout single-cell culture, there were 8-base deletions for both alleles (Fig. 3A). For comparison, the sequencing result of a miR-137-knockout single-cell culture of sgRNA3 is included in Fig. 3B, which did not disrupt the pre-miR-137 sequence. Therefore, clones #2 and #3 derived from sgRNA2 were selected for further experiments.

Establishment of the miR-137-knockout cell model

RT-qPCR was performed to detect the expression levels of miR-137 in the miR-137-knockout clones. The RT-qPCR results of clones #2 and #3 indicated the low expression levels of miR-137 compared with wild-type cells (P<0.0001; Fig. 4). This suggested that the cell model with miR-137-knockout had been successfully established using CRISPR/Cas9 technology.

miR-137-knockout promotes proliferation in A2780 cells

To investigate the effect of miR-137-knockout in A2780 ovarian cancer cells, the rate of proliferation was assessed using an MTT assay. A total of 72 h after seeding, the relative absorbance values of the miR-137-knockout clones (#2 and #3) were significantly increased compared with A2780 cells expressing the CRISPR/cas9 empty vector (WT; P<0.001 for #2 and P<0.0001 for #3; Fig. 5). These results suggest that the miR-137-knockout promoted the proliferation of A2780 cells.

Discussion

Precise and efficient genome-targeting technologies allowing selective perturbation of individual genetic elements can facilitate the reverse engineering or reconstruction of useful biological systems. Although genome-editing technologies, including designer zinc fingers and transcription activator-like effectors, have begun to enable targeted genome modifications (19), each of these platforms has limitations (28). Genome editing using CRISPR/Cas9 is a more affordable and efficient strategy for the generation of gene-modified cells and organisms. It is now the most popular tool for the precise alteration of the genomes of diverse species. Its application in genome-wide studies will enable large-scale screening for drug targets and enhance the development of human gene therapy (29).

Mali et al (17) obtained targeting rates of 10–25% of the endogenous AAVS1 locus in 293T cells, 13–38% in K562 cells, and 2–4% in induced pluripotent stem cells. In the present study, miR-137 gene knockout efficiency was 56% for sgRNA2 and 2% for sgRNA3, whereas sgRNA1 demonstrated no editing efficiency, indicating that differences in target sequences affected the efficiency of knockout.

miRNAs can regulate gene expression in diverse biological processes, including immune modulation, metabolic control, neuronal development, cell cycle, muscle differentiation and stem cell differentiation (2). Previous studies have indicated that miR-137 serves critical roles in gastric cancer, glioblastoma, non-small cell lung cancer, colorectal cancer, ovarian cancer and neuroblastoma (9,2529). In the present study, sgRNAs were designed and synthesized to target miR-137 in A2780 cells. The delivering Cas9 nuclease and miR-137-specific sgRNAs were transformed into lentiviruses, which were used to infect the A2780 cells. These cells were selected with puromycin and sorted into 96-well plates for single-cell culture. The RT-qPCR results demonstrated that miR-137 was minimally detected in the miR-137-knockout cells. An MTT assay indicated that miR-137-knockout promoted proliferation in A2780 cells. Thus, the miR-137-knockout A2780 cell model was successfully established using CRISPR/Cas9 technology and exhibited a functional effect.

Acknowledgements

The present study was supported by funding from the Health and Family Planning Commission of Guangdong Province (grant no., A2015314).

Competing interests

The authors declare that they have no competing interests.

References

1 

Bartel DP: MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell. 116:281–297. 2004. View Article : Google Scholar : PubMed/NCBI

2 

Kloosterman WP and Plasterk RH: The diverse functions of microRNAs in animal development and disease. Dev Cell. 11:441–450. 2006. View Article : Google Scholar : PubMed/NCBI

3 

Li X, Liu X, Xu W, Zhou P, Gao P, Jiang S, Lobie PE and Zhu T: c-MYC-regulated miR-23a/24-2/27a cluster promotes mammary carcinoma cell invasion and hepatic metastasis by targeting Sprouty2. J Biol Chem. 288:18121–18133. 2013. View Article : Google Scholar : PubMed/NCBI

4 

Friedman RC, Farh KK, Burge CB and Bartel DP: Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 19:92–105. 2009. View Article : Google Scholar : PubMed/NCBI

5 

Volinia S, Calin GA, Liu CG, Ambs S, Cimmino A, Petrocca F, Visone R, Iorio M, Roldo C, Ferracin M, et al: A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci USA. 103:2257–2261. 2006. View Article : Google Scholar : PubMed/NCBI

6 

Christopher AF, Kaur RP, Kaur G, Kaur A, Gupta V and Bansal P: MicroRNA therapeutics: Discovering novel targets and developing specific therapy. Perspect Clin Res. 7:68–74. 2016. View Article : Google Scholar : PubMed/NCBI

7 

Feng Q, Wu Q, Liu X, Xiong Y and Li H: MicroRNA-137 acts as a tumor suppressor in osteosarcoma by targeting enhancer of zeste homolog 2. Exp Ther Med. 13:3167–3174. 2017. View Article : Google Scholar : PubMed/NCBI

8 

Li X, Chen W, Zeng W, Wan C, Duan S and Jiang S: microRNA-137 promotes apoptosis in ovarian cancer cells via the regulation of XIAP. Br J Cancer. 116:66–76. 2017. View Article : Google Scholar : PubMed/NCBI

9 

Sun L, Liang J, Wang Q, Li Z, Du Y and Xu X: MicroRNA-137 suppresses tongue squamous carcinoma cell proliferation, migration and invasion. Cell Prolif. 49:628–635. 2016. View Article : Google Scholar : PubMed/NCBI

10 

Wu L, Chen J, Ding C, Wei S, Zhu Y, Yang W, Zhang X, Wei X and Han D: MicroRNA-137 contributes to dampened tumorigenesis in human gastric cancer by targeting AKT2. PLoS One. 10:e01301242015. View Article : Google Scholar : PubMed/NCBI

11 

Deng Y, Deng H, Bi F, Liu J, Bemis LT, Norris D, Wang XJ and Zhang Q: MicroRNA-137 targets carboxyl-terminal binding protein 1 in melanoma cell lines. Int J Biol Sci. 7:133–137. 2011. View Article : Google Scholar : PubMed/NCBI

12 

Luo C, Tetteh PW, Merz PR, Dickes E, Abukiwan A, Hotz-Wagenblatt A, Holland-Cunz S, Sinnberg T, Schittek B, Schadendorf D, et al: miR-137 inhibits the invasion of melanoma cells through downregulation of multiple oncogenic target genes. J Invest Dermatol. 133:768–775. 2013. View Article : Google Scholar : PubMed/NCBI

13 

Guo J, Xia B, Meng F and Lou G: miR-137 suppresses cell growth in ovarian cancer by targeting AEG-1. Biochem Biophys Res Commun. 441:357–363. 2013. View Article : Google Scholar : PubMed/NCBI

14 

Jansen R, Embden JD, Gaastra W and Schouls LM: Identification of genes that are associated with DNA repeats in prokaryotes. Mol Microbiol. 43:1565–1575. 2002. View Article : Google Scholar : PubMed/NCBI

15 

Barrangou R, Fremaux C, Deveau H, Richards M, Boyaval P, Moineau S, Romero DA and Horvath P: CRISPR provides acquired resistance against viruses in prokaryotes. Science. 315:1709–1712. 2007. View Article : Google Scholar : PubMed/NCBI

16 

Ishino Y, Shinagawa H, Makino K, Amemura M and Nakata A: Nucleotide sequence of the iap gene, responsible for alkaline phosphatase isozyme conversion in Escherichia coli, and identification of the gene product. J Bacteriol. 169:5429–5433. 1987. View Article : Google Scholar : PubMed/NCBI

17 

Mali P, Yang L, Esvelt KM, Aach J, Guell M, DiCarlo JE, Norville JE and Church GM: RNA-guided human genome engineering via Cas9. Science. 339:823–826. 2013. View Article : Google Scholar : PubMed/NCBI

18 

Cong L, Ran FA, Cox D, Lin S, Barretto R, Habib N, Hsu PD, Wu X, Jiang W, Marraffini LA and Zhang F: Multiplex genome engineer using CRISPR/Cas systems. Science. 339:819–823. 2013. View Article : Google Scholar : PubMed/NCBI

19 

LaFountaine JS, Fathe K and Smyth HD: Delivery and therapeutic applications of gene editing technologies ZFNs, TALENs, and CRISPR/Cas9. Int J Pharm. 494:180–194. 2015. View Article : Google Scholar : PubMed/NCBI

20 

Sakuma T, Nishikawa A, Kume S, Chayama K and Yamamoto T: Multiplex genome engineering in human cells using all-in-one CRISPR/Cas9 vector system. Sci Rep. 4:54002014. View Article : Google Scholar : PubMed/NCBI

21 

Schwank G, Koo BK, Sasselli V, Dekkers JF, Heo I, Demircan T, Sasaki N, Boymans S, Cuppen E, van der Ent CK, et al: Functional repair of CFTR by CRISPR/Cas9 in intestinal stem cell organoids of cystic fibrosis patients. Cell Stem Cell. 13:653–658. 2013. View Article : Google Scholar : PubMed/NCBI

22 

Wu Y, Liang D, Wang Y, Bai M, Tang W, Bao S, Yan Z, Li D and Li J: Correction of a genetic disease in mouse via use of CRISPR-Cas9. Cell Stem Cell. 13:659–662. 2013. View Article : Google Scholar : PubMed/NCBI

23 

Hruscha A, Krawitz P, Rechenberg A, Heinrich V, Hecht J, Haass C and Schmid B: Efficient CRISPR/Cas9 genome editing with low off-target effects in zebrafish. Development. 140:4982–4987. 2013. View Article : Google Scholar : PubMed/NCBI

24 

Friedland AE, Tzur YB, Esvelt KM, Colaiacovo MP, Church GM and Calarco JA: Heritable genome editing in C. Elegans via a CRISPR-Cas9 system. Nat Methods. 10:741–743. 2013. View Article : Google Scholar : PubMed/NCBI

25 

Yu Z, Ren M, Wang Z, Zhang B, Rong YS, Jiao R and Gao G: Highly efficient genome modifications mediated by CRISPR/Cas9 in Drosophila. Genetics. 195:289–291. 2013. View Article : Google Scholar : PubMed/NCBI

26 

Zhao Y, Dai Z, Liang Y, Yin M, Ma K, He M, Ouyang H and Teng CB: Sequence-specific inhibition of microRNA via CRISPR/CRISPRi system. Sci Rep. 4:39432014. View Article : Google Scholar : PubMed/NCBI

27 

Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI

28 

Hsu PD, Lander ES and Zhang F: Development and applications of CRISPR-Cas9 for genome engineering. Cell. 157:1262–1278. 2014. View Article : Google Scholar : PubMed/NCBI

29 

Doudna JA and Charpentier E: Genome editing. The new frontier of genome engineering with CRISPR-Cas9. Science. 346:92014. View Article : Google Scholar

Related Articles

Journal Cover

September-2018
Volume 16 Issue 3

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Chen W, Li Q, Du J, Li X, Jiang S and He Y: Establishment of an miR‑137‑knockout cell model using CRISPR/Cas9 genome editing. Oncol Lett 16: 4027-4032, 2018.
APA
Chen, W., Li, Q., Du, J., Li, X., Jiang, S., & He, Y. (2018). Establishment of an miR‑137‑knockout cell model using CRISPR/Cas9 genome editing. Oncology Letters, 16, 4027-4032. https://doi.org/10.3892/ol.2018.9096
MLA
Chen, W., Li, Q., Du, J., Li, X., Jiang, S., He, Y."Establishment of an miR‑137‑knockout cell model using CRISPR/Cas9 genome editing". Oncology Letters 16.3 (2018): 4027-4032.
Chicago
Chen, W., Li, Q., Du, J., Li, X., Jiang, S., He, Y."Establishment of an miR‑137‑knockout cell model using CRISPR/Cas9 genome editing". Oncology Letters 16, no. 3 (2018): 4027-4032. https://doi.org/10.3892/ol.2018.9096