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用于比率型β-内酰胺酶检测数据的通道相互作用与稳健推断:Tox21文库分析

Channel Interactions and Robust Inference for Ratiometric β-lactamase Assay Data: a Tox21 Library Analysis.

作者信息

Melnikov Fjodor, Hsieh Jui-Hua, Sipes Nisha S, Anastas Paul T

机构信息

School of Forestry and Environmental Studies, Yale University, New Haven, CT 06520, United States.

Kelly Government Solutions, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709, United States.

出版信息

ACS Sustain Chem Eng. 2018 Jan 15;6(3):3233-3241. doi: 10.1021/acssuschemeng.7b03394.

Abstract

Ratiometric β-lactamase (BLA) reporters are widely used to study transcriptional responses in a high-throughput screening (HTS) format. Typically, a ratio readout (background/target fluorescence) is used for toxicity assessment and structure-activity modeling efforts from BLA HTS data. This ratio readout may be confounded by channel-specific artifacts. To maximize the utility of BLA HTS data, we analyzed the relationship between individual channels and ratio readouts after fitting 10,000 chemical titration series screened in seven BLA stress-response assays from the Tox21 initiative. Similar to previous observations, we found that activity classifications based on BLA ratio readout alone are confounded by interference patterns for up to 85% (50 % on average) of active chemicals. Most Tox21 analyses adjust for this issue by evaluating target and ratio readout direction. In addition, we found that the potency and efficacy estimates derived from the ratio readouts may not represent the target channel effects and thus complicates chemical activity comparison. From these analyses we recommend a simpler approach using a direct evaluation of the target and background channels as well as the respective noise levels when using BLA data for toxicity assessment. This approach eliminates the channel interference issues and allows for straightforward chemical assessment and comparisons.

摘要

比率型β-内酰胺酶(BLA)报告基因被广泛用于以高通量筛选(HTS)形式研究转录反应。通常,比率读数(背景/目标荧光)用于从BLA HTS数据进行毒性评估和构效关系建模。这种比率读数可能会受到通道特异性伪影的干扰。为了最大限度地利用BLA HTS数据,我们在拟合了来自Tox21计划的七种BLA应激反应试验中筛选的10000个化学滴定系列后,分析了各个通道与比率读数之间的关系。与之前的观察结果类似,我们发现仅基于BLA比率读数的活性分类会受到干扰模式的影响,高达85%(平均50%)的活性化学物质会出现这种情况。大多数Tox21分析通过评估目标和比率读数方向来解决这个问题。此外,我们发现从比率读数得出的效力和功效估计可能并不代表目标通道效应,因此会使化学活性比较变得复杂。通过这些分析,我们建议在使用BLA数据进行毒性评估时,采用一种更简单的方法,即直接评估目标通道和背景通道以及各自的噪声水平。这种方法消除了通道干扰问题,并允许进行直接的化学评估和比较。

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本文引用的文献

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