弹性蛋白样多肽融合abrin的靶向表达和纯化:一种潜在的癌症治疗策略

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Fariba Rafiei , Ali-Akbar Shahnejat-Bushehri , Fariba Abooie Mehrizi , Seyed Amirreza Sabzian , Houshang Alizadeh
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引用次数: 0

摘要

Abrin是一种有效的植物源毒素,通过其n -糖苷酶活性靶向真核核糖体中的28S rRNA。其诱导细胞凋亡的能力使其成为癌症靶向免疫毒素治疗的有希望的候选者。为提高Abrin在大肠杆菌中的表达,采用密码子使用频率和密码子协调策略,用符合大肠杆菌密码子使用偏好的同义密码子替换天然密码子,对其编码序列进行优化。采用两步PCR工艺生成优化序列,并将其克隆到表达载体上,生成天然和优化融合的Abrin,以及融合的Elastin-Like Polypeptide。这些包括构念pET。天然的Abrin和pET。优化Abrin(带His-tags),以及pET。天然Abrin-ELP和pET。优化Abrin-ELP(带ELP标签)。所有构建体均在大肠杆菌中成功表达。密码子优化导致Abrin积累增加约两倍,导致稳定的表达水平,占总可溶性蛋白的70.72 %。MTT实验表明,Abrin对LS180和MCF-7癌细胞具有浓度依赖性的抗增殖作用。值得注意的是,elp融合蛋白显著提高了LS180细胞的细胞毒活性,天然Abrin-ELP的IC50值为5.329 µg/mL,优化后的Abrin-ELP的IC50值为4.828 µg/mL。这些发现突出了elp融合Abrin作为一种靶向癌症治疗的治疗潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Targeted expression and purification of elastin-like polypeptide-fused abrin: A potential strategy for cancer therapy
Abrin is a potent plant-derived toxin that targets 28S rRNA in eukaryotic ribosomes through its N-glycosidase activity. Its ability to induce apoptosis makes it a promising candidate for cancer-targeted immunotoxin therapy. To enhance the expression of Abrin in E. coli, its coding sequence was optimized by replacing native codons with synonymous codons that match codon usage preferences of E. coli, applying both codon usage frequency and codon harmonization strategies. The optimized sequence was generated using a two-step PCR process and cloned into expression vectors to produce both native and optimized unfused Abrin, as well as Elastin-Like Polypeptide fused forms. These included the constructs pET. native Abrin and pET. optimized Abrin (with His-tags), as well as pET. native Abrin-ELP and pET. optimized Abrin-ELP (with ELP tags). All constructs were successfully expressed in E. coli. Codon optimization led to approximately a two-fold increase in Abrin accumulation, resulting in stable expression levels comprising 70.72 % of total soluble protein. MTT assays demonstrated a concentration-dependent antiproliferative effect of Abrin on LS180 and MCF-7 cancer cells. It is noteworthy that the ELP-fused proteins significantly increased cytotoxic activity in LS180 cells, with IC50 values of 5.329 µg/mL for native Abrin-ELP and 4.828 µg/mL for the optimized Abrin-ELP. These findings highlight the therapeutic potential of ELP-fused Abrin as a targeted cancer treatment.
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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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