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基于表面等离子体共振生物传感器的慢病毒颗粒稳定化筛选策略用于快速特异性筛选 P-糖蛋白配体。

Surface plasmon resonance biosensor combined with lentiviral particle stabilization strategy for rapid and specific screening of P-Glycoprotein ligands.

机构信息

School of Pharmacy, Second Military Medical University, No. 325 Guohe Road, Shanghai, 200433, China.

School of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, Fujian, China.

出版信息

Anal Bioanal Chem. 2021 Mar;413(7):2021-2031. doi: 10.1007/s00216-021-03170-5. Epub 2021 Feb 2.

Abstract

A novel surface plasmon resonance-based P-gp ligand screening system (SPR-PLSS) combined with lentiviral particle (LVP) stabilization strategy was constructed to screen out potential P-gp inhibitors from natural products. Firstly, we constructed LVPs with high and low expression levels of P-gp. The LVPs can ensure the natural conformation of P-gp based on the principle that LVPs germinated from packaging cells will contain cell membrane fragments and P-gp they carry. Then the LVPs with high P-gp expression for active channel and LVPs with low P-gp expression for reference channel were immobilized on CM5 chip respectively. The affinity detection was thus carried out with the signal reduction on the two channels. The P-gp inhibitors, Valspodar (Val) and cyclosporin (CsA), as positive compounds, were detected to characterize the chip's activity, and the K of Val and CsA were 14.09 μM and 16.41 μM, respectively. Forty compounds from natural product library were screened using the SPR CM5 chip, and magnolol (Mag), honokiol (Hon), and resveratrol (Res) were screened out as potential P-gp ligands, showing a significant response signal. This work presented a novel P-gp ligand screening system based on LVP-immobilized biosensor to rapidly screen out P-gp ligands from natural product library. Compared with traditional cell experiments which the screening time may take up to several days, our method only takes several hours. Furthermore, this study has also provided solid evidences to support that some complicated membrane proteins would apply to the lentivirus-based SPR screening system.

摘要

构建了一种基于新型表面等离子体共振的 P-糖蛋白配体筛选系统(SPR-PLSS),结合慢病毒颗粒(LVP)稳定化策略,从天然产物中筛选出潜在的 P-糖蛋白抑制剂。首先,我们构建了高表达和低表达 P-糖蛋白的 LVPs。基于 LVP 从包装细胞中发芽时会包含其携带的细胞膜片段和 P-糖蛋白的原理,LVPs 可以确保 P-糖蛋白的天然构象。然后,将高表达 P-糖蛋白的 LVP 用于活性通道,将低表达 P-糖蛋白的 LVP 用于参考通道,分别将其固定在 CM5 芯片上。通过在两个通道上的信号减少来进行亲和性检测。将 Valspodar(Val)和环孢素(CsA)等 P-糖蛋白抑制剂作为阳性化合物进行检测,以表征芯片的活性,Val 和 CsA 的 K 值分别为 14.09 μM 和 16.41 μM。使用 SPR CM5 芯片从天然产物文库中筛选出 40 种化合物,筛选出厚朴酚(Mag)、和厚朴酚(Hon)和白藜芦醇(Res)作为潜在的 P-糖蛋白配体,显示出明显的响应信号。这项工作提出了一种基于 LVP 固定化生物传感器的新型 P-糖蛋白配体筛选系统,可从天然产物文库中快速筛选出 P-糖蛋白配体。与传统的细胞实验相比,筛选时间可能需要数天,而我们的方法仅需数小时。此外,这项研究还为一些复杂的膜蛋白适用于基于慢病毒的 SPR 筛选系统提供了确凿的证据。

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