[Production and preliminary application of monoclonal antibodies against structural proteins of human parainfluenza virus type 3].

Q4 Biochemistry, Genetics and Molecular Biology
Guilin Li, Tongxi Zhou, Pengyun Hou, Hao Wang, Chong Lu, Xiaoping Tian, Guojie Ji, Huanhuan Hu, Qiaohui Zhao
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引用次数: 0

Abstract

To screen the optimal target for the antigen detection of human parainfluenza virus type 3 (HPIV-3), this study systematically compared the immunoreactivity and diagnostic potential of four major structural proteins [hemagglutinin-neuraminidase (HN), fusion protein (F), nucleoprotein (NP), and phosphoprotein (P)] of HPIV-3. On this basis, developing high-sensitivity, high-specificity antibodies is the premise for establishing the detection method. A baculovirus-insect cell system was used to express four major structural proteins (HN, F, NP, and P) of HPIV-3, and SDS-PAGE suggested that the protein purity reached 80%. Corresponding monoclonal antibodies (mAbs) were generated via the hybridoma technology and 133 clones of mAbs were obtained. The production and immunoreactivity of mAbs against NP were significantly better than those against HN, F, and P. The prepared mAbs were screened with natural antigens through methods such as orthogonal matrix, detection limit evaluation, and surface plasmon resonance (SPR, indicating antibody affinity) determination. Multiple high-quality clones of mAbs were screened out, including 18#, 121#, and 84#, among which 18# showed high affinity to the recombinant antigen, with the KD value reaching 8.92×10-11. Moreover, all the three antibody clones demonstrated excellent stability under various buffer systems, temperature conditions, and repeated freeze-thaw cycles. Immunofluorescence assays confirmed that the 84# antibody specifically recognized viral antigens within infected cells. On this basis, a double-antibody sandwich chemiluminescent immunoassay (CLIA) system was developed and evaluated for sensitivity and specificity via clinical samples. The results showed that among the screened antibody pairs, 18#+HRP-84# demonstrated good detection performance in clinical samples, with a positive detection rate of 20% and low cross-reactivity. The pair 121#+HRP-84# demonstrated strong specificity in clinical samples, with no cross-reactivity, though its positive detection rate was 18%. This study demonstrates that NP is the optimal target antigen for HPIV-3 detection. The developed NP-based double-antibody sandwich CLIA system shows high sensitivity, good stability, and low cross-reactivity, exhibiting promising potential for the development of diagnostic kits.

[人3型副流感病毒结构蛋白单克隆抗体的制备及初步应用]。
为了筛选人类副流感病毒3型(HPIV-3)抗原检测的最佳靶点,本研究系统比较了HPIV-3的4种主要结构蛋白[血凝素-神经氨酸酶(HN)、融合蛋白(F)、核蛋白(NP)和磷酸化蛋白(P)]的免疫反应性和诊断潜力。在此基础上,研制高灵敏度、高特异性的抗体是建立检测方法的前提。利用杆状病毒-昆虫细胞系统表达了HPIV-3的4种主要结构蛋白(HN、F、NP和P), SDS-PAGE显示蛋白纯度达到80%。通过杂交瘤技术制备相应的单克隆抗体(mab),获得133个单克隆抗体。制备的抗NP单抗的产量和免疫反应性明显优于抗HN、F和p的单抗。制备的单抗通过正交矩阵法、检出限评价和表面等离子体共振(SPR,表明抗体亲和力)测定等方法与天然抗原进行筛选。筛选出多个优质克隆单克隆抗体,包括18#、121#和84#,其中18#对重组抗原具有高亲和力,KD值达到8.92×10-11。此外,这三种抗体克隆在各种缓冲系统、温度条件和反复冻融循环下均表现出优异的稳定性。免疫荧光测定证实84#抗体特异性识别感染细胞内的病毒抗原。在此基础上,建立了双抗体夹心化学发光免疫测定(CLIA)系统,并通过临床样品对其敏感性和特异性进行了评价。结果表明,筛选到的抗体对中,18#+HRP-84#在临床样品中具有较好的检测性能,阳性检出率为20%,交叉反应性低。121#+HRP-84#对在临床样品中表现出较强的特异性,无交叉反应性,阳性检出率为18%。本研究表明,NP是检测HPIV-3的最佳靶抗原。该系统具有灵敏度高、稳定性好、交叉反应性低等特点,在诊断试剂盒开发中具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Sheng wu gong cheng xue bao = Chinese journal of biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
1.50
自引率
0.00%
发文量
298
期刊介绍: Chinese Journal of Biotechnology (Chinese edition) , sponsored by the Institute of Microbiology, Chinese Academy of Sciences and the Chinese Society for Microbiology, is a peer-reviewed international journal. The journal is cited by many scientific databases , such as Chemical Abstract (CA), Biology Abstract (BA), MEDLINE, Russian Digest , Chinese Scientific Citation Index (CSCI), Chinese Journal Citation Report (CJCR), and Chinese Academic Journal (CD version). The Journal publishes new discoveries, techniques and developments in genetic engineering, cell engineering, enzyme engineering, biochemical engineering, tissue engineering, bioinformatics, biochips and other fields of biotechnology.
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