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Quadrupole Dalton-Based Controlled Proteolysis Method for Characterization of Higher Order Protein Structure

机译:基于四极Dalton的受控蛋白水解方法,用于表征高阶蛋白质结构

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摘要

The higher order structure (HOS) of proteins plays a critical role in the efficacy and stability of biological drugs. Perturbation of the regional structure of proteins can affect biological activity and cause instability. Characterization of HOS has become an integral part of biological drug development and is expected from regulatory agencies. The commonly used techniques for HOS characterization, such as circular dichroism, Fourier-transform infrared, differential scanning calorimetry, intrinsic fluorescence, and hydrogen deuterium exchange mass spectrometry, have their limitations ranging from lack of sensitivity and specificity to the need of high-level expertise and poor access to instrumentation due to high cost. In this study, we demonstrated a novel controlled proteolysis-based LC-QDa method for the detection of HOS change. By digesting proteins directly without denaturation and reduction, the HOS information can be revealed through the digested peptides. After optimizing the digestion conditions and the detection procedures, we identified 13 signature peptides that can monitor various antibody domains for any HOS changes caused by external stress. By comparing the peptide peak areas between unknown samples and a native control sample, any regional structural changes in unknown samples can be detected. The method was subsequently applied to a wide range of forced degradation samples to demonstrate higher sensitivity compared to the near-UV CD method that is frequently used for monitoring tertiary structural changes. By further reducing the number of signature peptides to five and optimizing liquid chromatography gradient duration, a streamlined, high-throughput, and controlled proteolysis method was successfully established. This method can be used to support process and formulation development as well as potentially for stability testing.
机译:蛋白质的高阶结构(HOS)在生物药物的疗效和稳定性中起着关键作用。蛋白质区域结构的扰动会影响生物活性并导致不稳定。 HOS的特征已成为生物药物发展的一个组成部分,预计监管机构预计。常用的HOS表征技术,例如圆形二色性,傅立叶变换红外,差分扫描量热法,内在荧光和氢氘交换质谱法,其限制范围从缺乏敏感性和特殊性到高层专业知识的需要由于高成本,易于仪器的进入。在这项研究中,我们证明了一种用于检测HOS变化的新型受控蛋白水解的LC-QDA方法。通过直接消化蛋白质而不变性和减少,可以通过消化的肽揭示肝脏信息。在优化消化条件和检测程序之后,我们确定了13种可监测由外部压力引起的任何肝脏变化的各种抗体结构域的签名肽。通过比较未知样品和天然对照样品之间的肽峰面积,可以检测未知样品中的任何区域结构变化。随后将该方法施用于各种强制降解样品,与经常用于监测三级结构变化的接近UV CD方法相比,较高的灵敏度。通过进一步减少签名肽的数量,并优化液相色谱梯度持续时间,成功地建立了流线型,高通量和受控蛋白水解方法。该方法可用于支持过程和配方开发以及潜在的稳定性测试。

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  • 来源
    《Analytical chemistry》 |2019年第8期|共7页
  • 作者单位

    Bristol Myers Squibb Biol Methods &

    Analyt Dev Hopewell NJ 08534 USA;

    Bristol Myers Squibb Biol Methods &

    Analyt Dev Hopewell NJ 08534 USA;

    Bristol Myers Squibb Biol Methods &

    Analyt Dev Hopewell NJ 08534 USA;

    Bristol Myers Squibb Biol Methods &

    Analyt Dev Hopewell NJ 08534 USA;

    Bristol Myers Squibb Biol Methods &

    Analyt Dev Hopewell NJ 08534 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

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