betway必威登陆网址 (betway.com )学报››2023,Vol. 44››Issue (3): 202-208.DOI:10.3969/j.issn.2097-0005.2023.03.008
收稿日期:
2022-08-03出版日期:
2023-04-24发布日期:
2023-04-24作者简介:
贲培玲,博士,副教授,研究方向:生物化学,E-mail:bpl422@163.com。基金资助:
Peiling BEN(), Rongqian CHEN, Miao SUN, Xiangyang SHI
Received:
2022-08-03Online:
2023-04-24Published:
2023-04-24摘要:
目的探索实验室规模生产质粒DNA(plasmid DNA,pDNA)的制备工艺。方法选用质粒pEGFP-N1E.coliStbl3菌株,用最陡爬坡试验(plackett-burman,PB)筛选出影响质粒产量最显著因素,响应面法优化重组菌高产发酵条件。采用碱裂解,浓缩质粒,通过凝胶、亲和、离子等层析分离纯化pDNA,并对所纯化的pDNA进行质量评价。结果用PB试验和响应面试验设计筛选出的关键因素是:酵母提取物20 g/L,甘油6 g/L,接种物浓度吸光度(optical density,OD) = 0.014。在最佳条件下进行3次平行发酵,生物量OD 600达28.07 ± 2.01,质粒产量(21.34 ± 1.31) mg/L。pDNA纯度(A260 nm/A280 nm)为1.91 ± 0.02。内毒素含量小于0.005 EU/g DNA;几乎检测不到蛋白质及细菌基因组DNA残留,达到相关质量标准。结论本研究采用的制备工艺可生产出高质量的pDNA。
贲培玲, 陈容前, 孙淼, 施向阳. 质粒DNA实验室规模化制备工艺[J]. betway必威登陆网址 (betway.com )学报, 2023, 44(3): 202-208.
Peiling BEN, Rongqian CHEN, Miao SUN, Xiangyang SHI. Preparation technology of plasmid DNA in laboratory scale[J]. Journal of Shandong First Medical Unversity & Shandong Academy of Medical Sciences, 2023, 44(3): 202-208.
符号编码 | 因子 | 低值(-1) | 高值(+ 1) |
---|---|---|---|
A(g/L) | 蛋白胨 | 10.00 | 15.00 |
B(g/L) | 酵母抽提物 | 16.00 | 24.00 |
C(g/L) | 抗生素 | 0.05 | 0.10 |
D(g/L) | 甘油 | 5.00 | 7.50 |
E(OD) | 接种浓度 | 0.01 | 0.02 |
F(℃) | 温度 | 30.00 | 37.00 |
G(v:v) | 培养液/摇瓶体积比 | 0.1 | 0.2 |
H-K | Dummy1-4 | -1 | 1 |
表1PB设计中涉及的影响质粒生产的7大因子及其水平
符号编码 | 因子 | 低值(-1) | 高值(+ 1) |
---|---|---|---|
A(g/L) | 蛋白胨 | 10.00 | 15.00 |
B(g/L) | 酵母抽提物 | 16.00 | 24.00 |
C(g/L) | 抗生素 | 0.05 | 0.10 |
D(g/L) | 甘油 | 5.00 | 7.50 |
E(OD) | 接种浓度 | 0.01 | 0.02 |
F(℃) | 温度 | 30.00 | 37.00 |
G(v:v) | 培养液/摇瓶体积比 | 0.1 | 0.2 |
H-K | Dummy1-4 | -1 | 1 |
运行 | A | B | C | D | E | F | G | 响应值质粒容积产率/(mg/L) |
---|---|---|---|---|---|---|---|---|
1 | -1 | 1 | -1 | -1 | 1 | 1 | -1 | 16.472 |
2 | 1 | 1 | -1 | 1 | -1 | -1 | 1 | 0.292 |
3 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | 27.726 |
4 | 1 | -1 | 1 | -1 | -1 | -1 | -1 | 0.082 |
5 | -1 | 1 | 1 | -1 | -1 | 1 | 1 | 3.537 |
6 | -1 | -1 | -1 | 1 | 1 | -1 | 1 | 0.122 |
7 | -1 | 1 | 1 | 1 | 1 | -1 | -1 | 0.002 |
8 | 1 | 1 | -1 | 1 | -1 | 1 | -1 | 2.837 |
9 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1.876 |
10 | 1 | 1 | 1 | -1 | 1 | -1 | 1 | 0.064 |
11 | -1 | -1 | 1 | 1 | -1 | 1 | 1 | 0.992 |
12 | 1 | -1 | 1 | 1 | 1 | 1 | -1 | 1.834 |
表2PB设计矩阵及响应值
运行 | A | B | C | D | E | F | G | 响应值质粒容积产率/(mg/L) |
---|---|---|---|---|---|---|---|---|
1 | -1 | 1 | -1 | -1 | 1 | 1 | -1 | 16.472 |
2 | 1 | 1 | -1 | 1 | -1 | -1 | 1 | 0.292 |
3 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | 27.726 |
4 | 1 | -1 | 1 | -1 | -1 | -1 | -1 | 0.082 |
5 | -1 | 1 | 1 | -1 | -1 | 1 | 1 | 3.537 |
6 | -1 | -1 | -1 | 1 | 1 | -1 | 1 | 0.122 |
7 | -1 | 1 | 1 | 1 | 1 | -1 | -1 | 0.002 |
8 | 1 | 1 | -1 | 1 | -1 | 1 | -1 | 2.837 |
9 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 1.876 |
10 | 1 | 1 | 1 | -1 | 1 | -1 | 1 | 0.064 |
11 | -1 | -1 | 1 | 1 | -1 | 1 | 1 | 0.992 |
12 | 1 | -1 | 1 | 1 | 1 | 1 | -1 | 1.834 |
模型项 | 贡献度/% | 平方和 | 自由度 | 均方根 | F | P |
---|---|---|---|---|---|---|
模型 | 305 000.00 | 6 | 50 903.75 | 14.07 | 0.005 | |
B-酵母提取物 | 5.376 | 18 979.67 | 1 | 18 979.67 | 5.25 | 0.071 |
C-抗生素 | 17.306 | 61 099.86 | 1 | 61 099.86 | 16.89 | 0.009 |
D-甘油 | 28.694 | 101 000.00 | 1 | 101 000.00 | 28.00 | 0.003 |
E-接种浓度 | 22.363 | 78 953.29 | 1 | 78 953.29 | 21.83 | 0.006 |
F-温度 | 9.229 | 32 582.41 | 1 | 32 582.41 | 9.01 | 0.030 |
AC | 13.183 | 46 542.36 | 1 | 46 542.36 | 12.87 | 0.016 |
表3拟合质粒生产的PB因子模型并进行方差与回归分析
模型项 | 贡献度/% | 平方和 | 自由度 | 均方根 | F | P |
---|---|---|---|---|---|---|
模型 | 305 000.00 | 6 | 50 903.75 | 14.07 | 0.005 | |
B-酵母提取物 | 5.376 | 18 979.67 | 1 | 18 979.67 | 5.25 | 0.071 |
C-抗生素 | 17.306 | 61 099.86 | 1 | 61 099.86 | 16.89 | 0.009 |
D-甘油 | 28.694 | 101 000.00 | 1 | 101 000.00 | 28.00 | 0.003 |
E-接种浓度 | 22.363 | 78 953.29 | 1 | 78 953.29 | 21.83 | 0.006 |
F-温度 | 9.229 | 32 582.41 | 1 | 32 582.41 | 9.01 | 0.030 |
AC | 13.183 | 46 542.36 | 1 | 46 542.36 | 12.87 | 0.016 |
编码 | 接种浓度A(OD) | 甘油B/(g/L) | 酵母提取物C(g/L) |
---|---|---|---|
-1 | 0.01 | 5 | 16 |
0 | 0.015 | 6.25 | 20 |
1 | 0.02 | 7.5 | 24 |
表4响应面试验因素水平和编码
编码 | 接种浓度A(OD) | 甘油B/(g/L) | 酵母提取物C(g/L) |
---|---|---|---|
-1 | 0.01 | 5 | 16 |
0 | 0.015 | 6.25 | 20 |
1 | 0.02 | 7.5 | 24 |
序号 | 接种浓度A(OD600) | 甘油B /(g/L) | 酵母提取物C/(g/L) | 质粒容积 产率R/(mg/L) |
---|---|---|---|---|
1 | 0 | -1 | 1 | 16.84 |
2 | 0 | -1 | -1 | 17.215 |
3 | 0 | 1 | 1 | 17.53 |
4 | 0 | 1 | -1 | 17.33 |
5 | 0 | 0 | 0 | 20.095 |
6 | 1 | -1 | 0 | 17.765 |
7 | 0 | 0 | 0 | 20.19 |
8 | 1 | 0 | 1 | 17.965 |
9 | -1 | 1 | 0 | 18.605 |
10 | 0 | 0 | 0 | 19.915 |
11 | -1 | 0 | -1 | 18.615 |
12 | 0 | 0 | 0 | 20.06 |
13 | 1 | 0 | -1 | 17.065 |
14 | -1 | 0 | 1 | 17.535 |
15 | 0 | 0 | 0 | 19.98 |
16 | 1 | 1 | 0 | 17.34 |
17 | -1 | -1 | 0 | 17.93 |
表5响应面试验设计与结果
序号 | 接种浓度A(OD600) | 甘油B /(g/L) | 酵母提取物C/(g/L) | 质粒容积 产率R/(mg/L) |
---|---|---|---|---|
1 | 0 | -1 | 1 | 16.84 |
2 | 0 | -1 | -1 | 17.215 |
3 | 0 | 1 | 1 | 17.53 |
4 | 0 | 1 | -1 | 17.33 |
5 | 0 | 0 | 0 | 20.095 |
6 | 1 | -1 | 0 | 17.765 |
7 | 0 | 0 | 0 | 20.19 |
8 | 1 | 0 | 1 | 17.965 |
9 | -1 | 1 | 0 | 18.605 |
10 | 0 | 0 | 0 | 19.915 |
11 | -1 | 0 | -1 | 18.615 |
12 | 0 | 0 | 0 | 20.06 |
13 | 1 | 0 | -1 | 17.065 |
14 | -1 | 0 | 1 | 17.535 |
15 | 0 | 0 | 0 | 19.98 |
16 | 1 | 1 | 0 | 17.34 |
17 | -1 | -1 | 0 | 17.93 |
方差来源 | 平方和 | 自由度 | 方差 | F | P |
---|---|---|---|---|---|
合计 | 25.12 | 16 | |||
回归模型 | 24.40 | 9 | 2.71 | 26.29 | < 0.001 |
A | 0.81 | 1 | 0.81 | 7.88 | 0.026 |
B | 0.37 | 1 | 0.37 | 3.63 | 0.096 |
C | 0.01 | 1 | 0.01 | 0.01 | 0.767 |
AB | 0.30 | 1 | 0.30 | 2.93 | 0.131 |
AC | 0.98 | 1 | 0.98 | 9.50 | 0.018 |
BC | 0.06 | 1 | 0.063 | 0.61 | 0.462 |
A2 | 1.87 | 1 | 1.87 | 18.14 | 0.004 |
B2 | 8.27 | 1 | 8.27 | 80.20 | < 0.001 |
C2 | 9.68 | 1 | 9.68 | 93.90 | < 0.001 |
残差 | 0.72 | 7 | 0.10 | ||
失拟项 | 0.20 | 3 | 0.067 | 0.52 | 0.692 |
纯误差 | 0.52 | 4 | 0.13 |
表6响应面拟合回归方程的方差分析结果
方差来源 | 平方和 | 自由度 | 方差 | F | P |
---|---|---|---|---|---|
合计 | 25.12 | 16 | |||
回归模型 | 24.40 | 9 | 2.71 | 26.29 | < 0.001 |
A | 0.81 | 1 | 0.81 | 7.88 | 0.026 |
B | 0.37 | 1 | 0.37 | 3.63 | 0.096 |
C | 0.01 | 1 | 0.01 | 0.01 | 0.767 |
AB | 0.30 | 1 | 0.30 | 2.93 | 0.131 |
AC | 0.98 | 1 | 0.98 | 9.50 | 0.018 |
BC | 0.06 | 1 | 0.063 | 0.61 | 0.462 |
A2 | 1.87 | 1 | 1.87 | 18.14 | 0.004 |
B2 | 8.27 | 1 | 8.27 | 80.20 | < 0.001 |
C2 | 9.68 | 1 | 9.68 | 93.90 | < 0.001 |
残差 | 0.72 | 7 | 0.10 | ||
失拟项 | 0.20 | 3 | 0.067 | 0.52 | 0.692 |
纯误差 | 0.52 | 4 | 0.13 |
方差来源 | 平方和 | 自由度 | 方差 | F | P |
---|---|---|---|---|---|
回归模型 | 9 513.70 | 9 | 1 057.08 | 194.01 | < 0.001 |
A | 325.12 | 1 | 325.12 | 59.67 | < 0.001 |
B | 55.65 | 1 | 55.65 | 10.21 | 0.015 |
C | 6.30 | 1 | 6.30 | 1.16 | 0.318 |
AB | 121.00 | 1 | 121.00 | 22.21 | 0.002 |
AC | 392.04 | 1 | 392.04 | 71.95 | < 0.001 |
BC | 33.06 | 1 | 33.06 | 6.07 | 0.043 |
A2 | 1 040.17 | 1 | 1 040.17 | 190.91 | < 0.001 |
B2 | 3 079.14 | 1 | 3 079.14 | 565.14 | < 0.001 |
C2 | 3 625.19 | 1 | 3 625.19 | 665.36 | < 0.001 |
残差 | 38.14 | 7 | 5.45 | ||
失拟项 | 20.21 | 3 | 6.74 | 1.50 | 0.342 |
纯误差 | 17.93 | 4 | 4.48 |
表7响应面拟合回归方程的方差分析结果
方差来源 | 平方和 | 自由度 | 方差 | F | P |
---|---|---|---|---|---|
回归模型 | 9 513.70 | 9 | 1 057.08 | 194.01 | < 0.001 |
A | 325.12 | 1 | 325.12 | 59.67 | < 0.001 |
B | 55.65 | 1 | 55.65 | 10.21 | 0.015 |
C | 6.30 | 1 | 6.30 | 1.16 | 0.318 |
AB | 121.00 | 1 | 121.00 | 22.21 | 0.002 |
AC | 392.04 | 1 | 392.04 | 71.95 | < 0.001 |
BC | 33.06 | 1 | 33.06 | 6.07 | 0.043 |
A2 | 1 040.17 | 1 | 1 040.17 | 190.91 | < 0.001 |
B2 | 3 079.14 | 1 | 3 079.14 | 565.14 | < 0.001 |
C2 | 3 625.19 | 1 | 3 625.19 | 665.36 | < 0.001 |
残差 | 38.14 | 7 | 5.45 | ||
失拟项 | 20.21 | 3 | 6.74 | 1.50 | 0.342 |
纯误差 | 17.93 | 4 | 4.48 |
1 | Uchida S, Kataoka K. Design concepts of polyplex micelles forin vivotherapeutic delivery of plasmid DNA and messenger RNA[J]. J Biomed Mater Res A, 2019, 107(5): 978. |
2 | Hu B, Zou Y, Zhang L, et al. Nucleofection with plasmid DNA for CRISPR/Cas9-mediated inactivation of programmed cell death protein 1 in CD133-specific CAR T cells[J]. Hum Gene Ther, 2019, 30(4): 446. |
3 | Dalimi A, Nasiri V. Design, construction and immunogenicity assessment of pEGFP-N1-KMP11-GP96 (fusion) as a DNA vaccine candidate againstLeishmania majorinfection in BALB/c mice[J]. Iran J Parasitol, 2020, 15(1): 11. |
4 | Al-Allaf FA, Tolmachov OE, Zambetti LP, et al. Remarkable stability of an instability-prone lentiviral vector plasmid inEscherichia coliStbl3[J]. 3 Biotech, 2013, 3(1): 61. |
5 | Schmeer M, Buchholz T, Schleef M. Plasmid DNA manufacturing for indirect and direct clinical applications[J]. Hum Gene Ther, 2017, 28(10): 856. |
6 | 王宇, 吴昊, 朱晓明, 等. 响应面法优化工程菌E.coli HBVA发酵培养基[J]. 生物技术, 2013, 23(4): 64. |
7 | 任培森. 大肠杆菌DH5α规模化生产禽流感DNA疫苗的工艺及免疫应用研究[D]. 长春: 吉林大学, 2018. |
8 | 高强, 宁毅, 熊涛, 等. 腺相关病毒载体工程毒株精细化纯化[J]. 微生物学通报, 2021, 48(11): 4468. |
9 | 彭艳, 李平, 刘苹, 等. 基因治疗用pUC118-ski质粒DNA纯化工艺的建立及其质量控制[J]. 中国生物制品学杂志, 2013, 26(10): 1483. |
10 | 窦速林, 刘卫贞, 侯喜林, 等. pLA-PEDV-S1质粒拷贝数与发酵重组乳酸菌S1表达量之间的相关性研究[J]. 微生物学杂志, 2018, 38(5): 27. |
11 | Silva F, Queiroz JA, Domingues FC. Plasmid DNA fermentation strategies: influence on plasmid stability and cell physiology[J]. Appl Microbiol Biotechnol, 2012, 93(6): 2571. |
12 | Carnes AE, Williams JA. Plasmid fermentation process for DNA immunization applications[M]//Rinaldi M, Fioretti D, Iurescia S. DNA vaccines: methods and protocols. New York: Springer New York, 2014: 197. |
13 | Dorward A, O'Kennedy RD, Folarin O, et al. The role of amino acids in the amplification and quality of DNA vectors for industrial applications[J]. Biotechnol Prog, 2019, 35(6): e2883. |
14 | Abdulrahman A, Ghanem A. Recent advances in chromatographic purification of plasmid DNA for gene therapy and DNA vaccines: a review[J]. Anal Chim Acta, 2018, 1025: 41. |
15 | Lambricht L, Lopes A, Kos S, et al. Clinical potential of electroporation for gene therapy and DNA vaccine delivery[J]. Expert Opin Drug Deliv, 2016, 13(2): 295. |
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