...
首页> 外文期刊>Comparative and functional genomics >Functional genomics via metabolic footprinting: monitoring metabolite secretion by Escherichia coli tryptophan metabolism mutants using FT-IR and direct injection electrospray mass spectrometry
【24h】

Functional genomics via metabolic footprinting: monitoring metabolite secretion by Escherichia coli tryptophan metabolism mutants using FT-IR and direct injection electrospray mass spectrometry

机译:通过代谢足迹的功能基因组学:使用FT-IR和直接注射电喷雾质谱法监测大肠杆菌色氨酸代谢突变体的代谢物分泌

获取原文
获取原文并翻译 | 示例
           

摘要

We sought to test the hypothesis that mutant bacterial strains could be discriminated from each other on the basis of the metabolites they secrete into the medium (their 'metabolic footprint'), using two methods of 'global' metabolite analysis (FT-IR and direct injection electrospray mass spectrometry). The biological system used as based on a published study of Escherichia coli tryptophan mutants that had been analysed and discriminated by Yanofsky and colleagues using transcriptome analysis. Wild-type strains supplemented with tryptophan or analogues could be discriminated from controls suing FT-IR of 24 h broths, as could each of the mutant strains in both minimal and supplemented media. Direct injection electrospray mass spectrometry with unit mass resolution could also be used to discriminate the strains from each other, and had the advantage that the discrimination required the use of just two or three masses in each case. These were determined via a genetic algorithm. Both methods are rapid, reagentless, reproducible and cheap, and might beneficially be extended to the analysis of gene knockout libraries.
机译:我们试图检验假说,即可以使用两种“全局”代谢物分析方法(FT-IR和直接方法),根据突变体细菌菌株分泌到培养基中的代谢物(它们的“代谢足迹”)来区分它们。注射电喷雾质谱法)。所使用的生物系统基于已发表的大肠杆菌色氨酸突变体研究,该研究已由Yanofsky及其同事使用转录组分析进行了分析和区分。补充了色氨酸或类似物的野生型菌株可以与使用24 h肉汤的FT-IR的对照区分开,每个突变菌株在基本培养基和补充培养基中也可以区分。具有单位质量分辨率的直接注入电喷雾质谱也可以用于彼此区分应变,并且具有的优点是,在每种情况下,区分仅需要使用两个或三个质量即可。这些是通过遗传算法确定的。两种方法都快速,无试剂,可重复且廉价,并且可能有益地扩展到基因敲除文库的分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号