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Experimental Strategies for Functional Annotationand Metabolism Discovery: Targeted Screening of Solute Binding Proteinsand Unbiased Panning of Metabolomes

机译:功能注释的实验策略和代谢发现:溶质结合蛋白的靶向筛选和代谢组的无偏淘选

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摘要

The rate at which genome sequencing data is accruing demands enhanced methods for functional annotation and metabolism discovery. Solute binding proteins (SBPs) facilitate the transport of the first reactant in a metabolic pathway, thereby constraining the regions of chemical space and the chemistries that must be considered for pathway reconstruction. We describe high-throughput protein production and differential scanning fluorimetry platforms, which enabled the screening of 158 SBPs against a 189 component library specifically tailored for this class of proteins. Like all screening efforts, this approach is limited by the practical constraints imposed by construction of the library, i.e., we can study only those metabolites that are known to exist and which can be made in sufficient quantities for experimentation. To move beyond these inherent limitations, we illustrate the promise of crystallographic- and mass spectrometric-based approaches for the unbiased use of entire metabolomes as screening libraries. Together, our approaches identified 40 new SBP ligands, generated experiment-based annotations for 2084SBPs in 71 isofunctional clusters, and defined numerous metabolicpathways, including novel catabolic pathways for the utilization ofethanolamine as sole nitrogen source and the use of d-Ala-d-Ala as sole carbon source. These efforts begin to define anintegrated strategy for realizing the full value of amassing genomesequence data.
机译:基因组测序数据的累积速率要求功能注释和代谢发现的方法得到增强。溶质结合蛋白(SBP)有助于第一反应物在代谢途径中的运输,从而限制了化学空间区域和必须进行途径重建的化学物质。我们描述了高通量蛋白质生产和差示扫描荧光法平台,该平台能够针对专门为此类蛋白质量身定制的189个成分库筛选158个SBP。像所有筛选工作一样,这种方法也受到库构建所施加的实际限制的限制,即,我们只能研究已知存在且可以进行足够量的代谢物进行实验。为了超越这些固有的局限性,我们说明了基于晶体学和质谱法的方法对于无偏倚地使用整个代谢组作为筛选库的前景。我们的方法共同确定了40种新的SBP配体,为2084年生成了基于实验的注释SBP位于71个同功能簇中,并定义了许多新陈代谢途径,包括利用新的分解代谢途径乙醇胺是唯一的氮源,而d-Ala-d-Ala是唯一的碳源。这些努力开始定义实现聚积基因组的全部价值的综合策略序列数据。

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