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热稳定性分析有助于评估生物样品的结晶可能性。

A thermal stability assay can help to estimate the crystallization likelihood of biological samples.

作者信息

Dupeux Florine, Röwer Martin, Seroul Gael, Blot Delphine, Márquez José A

机构信息

European Molecular Biology Laboratory, Grenoble Outstation and Unit of Virus Host-Cell Interactions, UJF-EMBL-CNRS, 6 Rue Jules Horowitz, BP 181, 38042 Grenoble CEDEX 9, France.

出版信息

Acta Crystallogr D Biol Crystallogr. 2011 Nov;67(Pt 11):915-9. doi: 10.1107/S0907444911036225. Epub 2011 Oct 18.

Abstract

The identification of crystallization conditions for biological molecules largely relies on a trial-and-error process in which a number of parameters are explored in large screening experiments. Currently, construct design and sample formulation are recognized as critical variables in this process and often a number of protein variants are assayed for crystallization either sequentially or in parallel, which adds complexity to the screening process. Significant effort is dedicated to sample characterization and quality-control experiments in order to identify at an early stage and prioritize those samples which would be more likely to crystallize. However, large-scale studies relating crystallization success to sample properties are generally lacking. In this study, the thermal stability of 657 samples was estimated using a simplified Thermofluor assay. These samples were also subjected to automated vapour-diffusion crystallization screening under a constant protocol. Analysis of the data shows that samples with an apparent melting temperature (T(m)) of 318 K or higher crystallized in 49% of cases, while the crystallization success rate decreased rapidly for samples with lower T(m). Only 23% of samples with a T(m) below 316 K produced crystals. Based on this analysis, a simple method for estimation of the crystallization likelihood of biological samples is proposed. This method is easy, rapid and consumes very small amounts of sample. The results of this assay can be used to determine optimal incubation temperatures for crystallization experiments or to prioritize certain constructs. More generally, this work provides an objective test that can contribute to making decisions in both focused and structural genomics crystallography projects.

摘要

生物分子结晶条件的确定很大程度上依赖于反复试验的过程,即在大规模筛选实验中探索多个参数。目前,构建体设计和样品配方被认为是这一过程中的关键变量,通常会对多个蛋白质变体依次或并行进行结晶检测,这增加了筛选过程的复杂性。为了在早期识别并优先处理那些更有可能结晶的样品,人们投入了大量精力进行样品表征和质量控制实验。然而,关于结晶成功与样品性质之间关系的大规模研究普遍缺乏。在本研究中,使用简化的热荧光分析法估计了657个样品的热稳定性。这些样品还按照固定方案进行了自动气相扩散结晶筛选。数据分析表明,表观熔点(T(m))为318K或更高的样品在49%的情况下结晶,而T(m)较低的样品结晶成功率迅速下降。T(m)低于316K的样品只有23%产生了晶体。基于此分析,提出了一种估计生物样品结晶可能性的简单方法。该方法简便、快速,且消耗的样品量极少。该分析结果可用于确定结晶实验的最佳孵育温度或对某些构建体进行优先级排序。更一般地说,这项工作提供了一个客观测试,有助于在聚焦和结构基因组学晶体学项目中做出决策。

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