| Literature DB >> 32901864 |
Fu-Neng Jiang1, Yu-Xiang Liang1, Wang Wei2, Cui-Yun Zou3, Guan-Xing Chen1, Yue-Ping Wan4, Ze-Zhen Liu1, Yang Yang1, Zhao-Dong Han1, Jian-Guo Zhu2, Wei-De Zhong1.
Abstract
The aim of the present study was to use the clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR‑associated (Cas) 9‑mediated gene knockout technology for the rapid classification of the differential function of micro (mi)RNAs screened using miRNA expression profiling by microarray. The rational design of single guide RNAs for the CRISPR/Cas9 system was verified to function in human LNCaP cells with rapid and efficient target gene editing. miRNA (miR)‑205, miR‑221, miR‑222, miR‑30c, miR‑224, miR‑455‑3p, miR‑23b and miR‑505 were downregulated in patients with prostate cancer (PCa) and were experimentally validated to function as tumor suppressors in prostate cancer cells, affecting tumor proliferation, invasion and aerobic glycolysis. In addition, the data of the present study suggested that miR‑663a and mfiR‑1225‑5p were upregulated in prostate cancer tissues and cell proliferation of miR‑663a and miR‑1225‑5p knockout PCa cells was significantly lower compared with miR‑NC cells. Furthermore, knockout of miR‑1225‑5p and miR‑663a significantly decreased the lactate production in LNCaP cells in vitro. In conclusion, the present study offered a simple and efficient method for rapidly classifying miRNA function by applying CRISPR/Cas9 in LNCaP cells. The present study suggested, for the first time to the best of the authors' knowledge, that the aberrant expression of miR‑663a and miR‑1225‑5p may be involved with the progression of prostate cancer, implying their potential as candidate markers for this type of cancer. However, the precise role of miR‑663a and miR‑1225‑5p in accelerating the development of prostate cancer and promoting tumor progression remains to be elucidated.Entities:
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Year: 2020 PMID: 32901864 PMCID: PMC7533463 DOI: 10.3892/mmr.2020.11491
Source DB: PubMed Journal: Mol Med Rep ISSN: 1791-2997 Impact factor: 2.952
Differentially expressed miRNAs in PCa (Fold change ≥1.5, P<0.05).
| miRNA microarray data | Taylor database | |||||
|---|---|---|---|---|---|---|
| Name | Regulation | Fold change | P-value | Fold change | P-value | Chromosomal location |
| hsa-miR-205 | Down | 58.96 | 0.009 | 3.19 | <0.001 | 1:209605478-209605587[+] |
| hsa-miR-221 | Down | 5.15 | 0.036 | 3.24 | <0.001 | X:45605585-45605694[-] |
| hsa-miR-455-3p | Down | 4.39 | 0.014 | 1.63 | 0.003 | 9:116971714-116971809[+] |
| hsa-miR-222 | Down | 3.94 | 0.036 | 3.55 | <0.001 | X:45606421-45606530[-] |
| hsa-miR-221 | Down | 3.50 | 0.050 | 1.59 | 0.008 | X:45605585-45605694[-] |
| hsa-miR-224 | Down | 3.32 | 0.011 | 2.56 | <0.001 | X:151127050-151127130[-] |
| hsa-miR-505 | Down | 2.72 | 0.038 | 1.52 | <0.001 | X:139006307-139006390[-] |
| hsa-miR-23b | Down | 2.70 | 0.033 | 1.86 | <0.001 | 9:97847490-97847586[+] |
| hsa-miR-30c | Down | 2.09 | 0.018 | 1.60 | <0.001 | 1:41222956-41223044[+] |
| hsa-miR-1225-5p | Up | 3.37 | 0.041 | 1.56 | 0.005 | 16:2140196-2140285[-] |
| hsa-miR-663a | Up | 2.71 | 0.044 | 2.64 | <0.001 | 20:26188822-26188914[-] |
miR, microRNA; PCa, prostate cancer; hsa, human.
Figure 1.T7E1 assay for knockout efficiency. Each sample consists of three lanes in the agarose gel: The left lane is an DNA marker (M), the middle lane is ‘uncut’ (U), meaning no treatment, and the right lane is ‘cut’ (C), digested by the T7E1 endonuclease. The ‘cut’ lane demonstrated additional lower DNA bands and the decreased bright of the bands compare the ‘uncut’ lane. Diverse intensities of lower bands presumably reflect different degrees of mosaic mutations. PUC19 digested by the T7E1 is used as the positive control. T7E1, T7 endonuclease I.
Figure 2.Cell proliferation assay. (A) The miRNAs group of enhancing the cell proliferation. (B) The miRNAs group of reducing the cell proliferation. (C) The miRNAs group of un-affecting the cell proliferation. *P<0.05 and **P<0.01. NC, negative control with scramble vector; miRNAs, micro RNAs.
Figure 3.Cell invasion assay. Cell invasion was detected by Transwell invasion assay. Cell numbers were counted in six independent symmetrical visual fields under a microscope at ×200 magnification. **P<0.01. NC, negative control with scramble vector.
Figure 4.Measurement of lactic acid. Culture medium was collected and the concentration of lactic acid was determined using the GEM Premier 3000 Blood Gas analyzer. Data are presented as the mean ± standard deviation of three independent experiments. **P<0.01. NC, negative control with scramble vector.