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Correction of Systematic Bias in Single Molecule Photobleaching Measurements

机译:单分子光漂白测量系统偏差的校正

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摘要

Single molecule photobleaching is a powerful technique to measure the number of fluorescent units in subresolution molecular complexes, such as in toxic protein oligomers associated with amyloid diseases. However, photobleaching can occur before the sample is appropriately placed and focused. Such "prebleaching'' can introduce a strong systematic bias toward smaller oligomers. Quantitative correction of prebleaching is known to be an ill-posed problem, limiting the utility of the technique. Here, we provide an experimental solution to improve its reliability. We chemically construct multimeric standards to estimate the prebleaching probability, B. We show that B can be used as a constraint to reliably correct the statistics obtained from a known distribution of standard oligomers. Finally, we apply this method to the data obtained from a heterogeneous oligomeric solution of human islet amyloid polypeptide. Our results show that photobleaching can critically skew the estimation of oligomeric distributions, so that low abundance monomers display a much higher apparent abundance. In summary, any inference from photobleaching experiments with B > 0.1 is likely to be unreliable, but our method can be used to quantitatively correct possible errors.
机译:单个分子光博是一种强大的技术,用于测量亚膦级分子复合物中的荧光单元数量,例如与淀粉样蛋白疾病相关的有毒蛋白质低聚物。然而,在适当放置和聚焦的样品之前可以发生光漂白。这种“预烧伤”可以向较小的低聚物引入强大的系统偏差。已知预爆发的定量校正是一个不良问题,限制了该技术的效用。在这里,我们提供了提高其可靠性的实验解决方案。我们化学构建多聚体标准以估计预析出概率,B。我们表明B可以用作可靠地校正从已知的标准低聚物的已知分布获得的统计数据的约束。最后,我们将该方法应用于从非均相低聚溶液获得的数据。人体胰岛淀粉样蛋白多肽。光博展示可以致力于倾斜低聚分布的估计,使得低丰度单体显示出更高的表观丰富。总之,来自B> 0.1的光漂白实验的任何推断可能是不可靠的,但我们的方法可用于定量纠正可能的错误。

著录项

  • 来源
    《Biophysical Journal》 |2020年第5期|共8页
  • 作者单位

    Tata Inst Fundamental Res Dept Chem Sci Mumbai Maharashtra India;

    Tata Inst Fundamental Res Dept Chem Sci Mumbai Maharashtra India;

    Tata Inst Fundamental Res Dept Chem Sci Mumbai Maharashtra India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物物理学;
  • 关键词

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