College of Chemistry and Chemical Engineering, Key Laboratory of Shandong Provincial Universities for Functional Molecules and Materials, Qingdao University, Qingdao, 266071, PR China.
College of Chemistry and Chemical Engineering, Key Laboratory of Shandong Provincial Universities for Functional Molecules and Materials, Qingdao University, Qingdao, 266071, PR China.
Biosens Bioelectron. 2024 Aug 15;258:116370. doi: 10.1016/j.bios.2024.116370. Epub 2024 May 6.
Protein phosphorylation is a significant post-translational modification that plays a decisive role in the occurrence and development of diseases. However, the rapid and accurate identification of phosphoproteins remains challenging. Herein, a high-throughput sensor array has been constructed based on a magnetic bimetallic nanozyme (FeO@ZNP@UiO-66) for the identification and discrimination of phosphoproteins. Attributing to the formation of Fe-Zr bimetallic dual active centers, the as-prepared FeO@ZNP@UiO-66 exhibits enhanced peroxidase-mimicking catalytic activity, which promotes the electron transfer from Zr center to Fe(II)/Fe(III). The catalytic activity of FeO@ZNP@UiO-66 can be selectively inhibited by phosphoproteins due to the strong interaction between phosphate groups and Zr centers, as well as the ultra-robust antifouling capability of zwitterionic dopamine nanoparticle (ZNP). Considering the diverse binding affinities between various proteins with the nanozyme, the catalytic activity of FeO@ZNP@UiO-66 can be changed to various degree, leading to the different absorption responses at 420 nm in the hydrogen peroxide (HO) - 2, 2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) system. By simply extracting different absorbance intensities at various time points, a sensor array based on reaction kinetics for the discrimination of phosphoproteins from other proteins is constructed through linear discriminant analysis (LDA). Besides, the quantitative determination of phosphoproteins and identification of protein mixtures have been realized. Further, based on the differential level of phosphoproteins in cells, the differentiation of cancer cells from normal cells can also be implemented by utilizing the proposed sensor array, showing great potential in disease diagnosis.
蛋白质磷酸化是一种重要的翻译后修饰,在疾病的发生和发展中起着决定性的作用。然而,快速准确地识别磷酸化蛋白质仍然具有挑战性。在此,构建了一种基于磁性双金属纳米酶(FeO@ZNP@UiO-66)的高通量传感器阵列,用于磷酸化蛋白质的识别和区分。由于形成了 Fe-Zr 双金属双活性中心,所制备的 FeO@ZNP@UiO-66 表现出增强的过氧化物酶模拟催化活性,促进了 Zr 中心到 Fe(II)/Fe(III)的电子转移。由于磷酸基团与 Zr 中心之间的强烈相互作用以及两性离子多巴胺纳米粒子(ZNP)的超强抗污能力,磷酸化蛋白质可以选择性地抑制 FeO@ZNP@UiO-66 的催化活性。考虑到各种蛋白质与纳米酶之间的不同结合亲和力,FeO@ZNP@UiO-66 的催化活性可以在不同程度上发生变化,导致在过氧化氢(HO)-2,2'-联氮双(3-乙基苯并噻唑啉-6-磺酸)(ABTS)系统中在 420nm 处的不同吸收响应。通过简单地提取不同时间点的不同吸光度强度,可以通过线性判别分析(LDA)构建基于反应动力学的用于区分磷酸化蛋白质和其他蛋白质的传感器阵列。此外,还实现了对磷酸化蛋白质的定量测定和蛋白质混合物的鉴定。此外,基于细胞中磷酸化蛋白质的差异水平,还可以通过利用所提出的传感器阵列来区分癌细胞和正常细胞,在疾病诊断中具有很大的应用潜力。