Pushkarev A V, Orlov A V, Znoyko S L, Novichikhin D O, Bragina V A, Sizikov A A, Alipour E, Ghourchian H, Nikitin A I, Sorokin G M, Gorshkov B G, Nikitin P I
Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., Moscow, 119991, Russia.
Moscow Institute of Physics and Technology, 9 Institutskii per., Dolgoprudny, Moscow Region, 141700, Russia.
Data Brief. 2020 Apr 30;30:105648. doi: 10.1016/j.dib.2020.105648. eCollection 2020 Jun.
The data represent in-depth characterization of a novel method for highly sensitive simultaneous measuring in human serum of both critical parameters of autoantibodies: concentration and native kinetics. The latter refers to autoantibody interaction with free, not immobilized, antigen. The method and related biosensors are based on the spectral-correlation and spectral-phase interferometry. The data cover: multi-factor optimization and quantitative characterization of the developed affordable single-used biochips, including X-ray photoelectron spectroscopy (XPS) control of chemical modifications of the surface during fabrication; antibody screening; optimization and verification of protocols for label-free biosensing in human serum; mathematical model for fitting experimental data and calculation of kinetic constants of interaction of autoantibodies with free antigen; comprehensive verification of the method specificity; correlation between the data obtained with the developed biosensor and with enzyme linked immunosorbent assay (ELISA); comparison of analytical characteristics of the developed biosensor with the most advanced label-based methods. The data importance is confirmed by a companion paper (DOI 10.1016/j.bios.2020.112187), which shows that the combination of mentioned autoantibody parameters is promising for more accurate criteria for early diagnostics and efficient therapy of autoimmune disorders. The obtained data can be used in development of a wide range of biosensors, both label-free and based on various labels.
这些数据代表了一种新方法的深入特征描述，该方法用于在人血清中同时高度灵敏地测量自身抗体的两个关键参数：浓度和天然动力学。后者是指自身抗体与游离而非固定化抗原的相互作用。该方法及相关生物传感器基于光谱相关和光谱相位干涉测量法。数据涵盖：对所开发的经济实惠的一次性生物芯片进行多因素优化和定量表征，包括在制造过程中通过X射线光电子能谱（XPS）控制表面化学修饰；抗体筛选；优化和验证人血清中无标记生物传感的方案；用于拟合实验数据和计算自身抗体与游离抗原相互作用动力学常数的数学模型；对该方法特异性的全面验证；用所开发的生物传感器获得的数据与酶联免疫吸附测定（ELISA）数据之间的相关性；将所开发生物传感器的分析特性与最先进的基于标记的方法进行比较。一篇配套论文（DOI 10.1016/j.bios.2020.112187）证实了这些数据的重要性，该论文表明上述自身抗体参数的组合有望为自身免疫性疾病的更准确早期诊断标准和有效治疗提供依据。所获得的数据可用于开发各种生物传感器，包括无标记的和基于各种标记的生物传感器。
