利用CRISPR激活文库筛选淋巴瘤放疗耐药基因。

IF 1.8 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Bi-Hua Luo, Jian-Qing Huang, Chun-Yu Huang, Pan Tian, Ai-Zhen Chen, Wei-Hao Wu, Xiao-Mei Ma, Yue-Xing Yuan, Lian Yu
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引用次数: 0

摘要

目的:本研究的目的是利用CRISPR激活(CRISPRa)筛选淋巴瘤放疗耐药基因。方法:将人CRISPRa文库病毒包装后转染淋巴瘤细胞,构建激活文库细胞系,以最小致死辐射剂量照射,筛选放疗耐药细胞。首先通过定量聚合酶链反应(qPCR)在编码区扩增出放疗耐药细胞单导RNA (sgRNA),然后通过下一代测序(NGS)和生物信息学分析筛选放疗耐药基因。然后选择某些放疗耐药基因,构建单基因转染的活化细胞系,进一步验证基因表达与放疗耐药之间的关系。结果:基于NGS结果及对放疗耐药细胞的生物信息学分析,共筛选到C20orf203、MTFR1、TAF1L、MYADM、NIPSNAP1、ZUP1、RASL11A、PSMB2、PSMA6、OR8H3、TMSB4Y、CD300LF、EEF1A1、ATP6AP1L、TRAF3IP2、SNRNP35等16个放疗耐药基因。用10个耐放疗基因构建了单基因转染的活化细胞系。qPCR结果显示,与对照组相比,实验组MTFR1、NIPSNAP1、ZUP1、PSMB2、PSMA6、EEF1A1、TMSB4Y和TAF1L mRNA表达量显著上调(p < 0.05)。两组间AKT3、TRAF3IP2 mRNA表达量差异无统计学意义(p > 0.05)。结论:筛选到的16个基因均为潜在的淋巴瘤放疗耐药基因。初步确定8个基因的高表达与淋巴瘤放疗耐药相关,这些基因可作为预测淋巴瘤放疗耐药的潜在生物标志物或作为新的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Screening of Lymphoma Radiotherapy-Resistant Genes with CRISPR Activation Library.

Screening of Lymphoma Radiotherapy-Resistant Genes with CRISPR Activation Library.

Screening of Lymphoma Radiotherapy-Resistant Genes with CRISPR Activation Library.

Screening of Lymphoma Radiotherapy-Resistant Genes with CRISPR Activation Library.

Objective: The objective of this study was to screen lymphoma radiotherapy-resistant genes using CRISPR activation (CRISPRa).

Methods: The Human CRISPRa library virus was packaged and then transfected into lymphoma cells to construct an activation library cell line, which was irradiated at the minimum lethal radiation dose to screen radiotherapy-resistant cells. Radiotherapy-resistant cell single-guide RNA (sgRNA) was first amplified by quantitative polymerase chain reaction (qPCR) in the coding region and then subject to next-generation sequencing (NGS) and bioinformatics analysis to screen radiotherapy-resistant genes. Certain radiotherapy-resistant genes were then selected to construct activated cell lines transfected with a single gene so as to further verify the relationship between gene expression and radiotherapy resistance.

Results: A total of 16 radiotherapy-resistant genes, namely, C20orf203, MTFR1, TAF1L, MYADM, NIPSNAP1, ZUP1, RASL11A, PSMB2, PSMA6, OR8H3, TMSB4Y, CD300LF, EEF1A1, ATP6AP1L, TRAF3IP2, and SNRNP35, were screened based on the NGS results and bioinformatics analysis of the radiotherapy-resistant cells. Activated cell lines transfected with a single gene were constructed using 10 radiotherapy-resistant genes. The qPCR findings showed that, when compared with the control group, the experimental group had significantly up-regulated mRNA expression of MTFR1, NIPSNAP1, ZUP1, PSMB2, PSMA6, EEF1A1, TMSB4Y and TAF1L (p < 0.05). No significant difference in the mRNA expression of AKT3 or TRAF3IP2 (p > 0.05) was found between the two groups (p > 0.05).

Conclusion: The 16 genes screened are potential lymphoma radiotherapy-resistant genes. It was initially determined that the high expression of 8 genes was associated with lymphoma radiotherapy resistance, and these genes could serve as the potential biomarkers for predicting lymphoma radiotherapy resistance or as new targets for therapy.

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来源期刊
Pharmacogenomics & Personalized Medicine
Pharmacogenomics & Personalized Medicine Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
3.30
自引率
5.30%
发文量
110
审稿时长
16 weeks
期刊介绍: Pharmacogenomics and Personalized Medicine is an international, peer-reviewed, open-access journal characterizing the influence of genotype on pharmacology leading to the development of personalized treatment programs and individualized drug selection for improved safety, efficacy and sustainability. In particular, emphasis will be given to: Genomic and proteomic profiling Genetics and drug metabolism Targeted drug identification and discovery Optimizing drug selection & dosage based on patient''s genetic profile Drug related morbidity & mortality intervention Advanced disease screening and targeted therapeutic intervention Genetic based vaccine development Patient satisfaction and preference Health economic evaluations Practical and organizational issues in the development and implementation of personalized medicine programs.
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