Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains
Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains
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DOI：
10.1038/ncomms1150
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发表时间：
2010-12-01
影响因子：
16.6
通讯作者：
Nielsen, Jens
中科院分区：
文献类型：
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作者：
Canelas, Andre B.;Harrison, Nicola;Nielsen, Jens
系统生物学领域常常因难以获得全面、高质量、定量的数据集而受到阻碍。在本文中，我们进行了实验室间的努力，为酿酒酵母中的大量细胞成分生成了这样的数据集，酿酒酵母是一种广泛使用的模式生物，也用于生产燃料、化学品、食品成分和药品。随着当前对生物燃料和可持续性的关注，人们对利用该物种作为通用细胞工厂产生了浓厚的兴趣。在这项研究中，我们在两种标准生长条件下表征了两种酵母菌株。我们通过评估各种采样和分析技术来确保实验数据的高质量。在这里，我们显示了两种菌株之间的最大比生长速率和生物量产量的显着差异。在对高通量数据的综合分析的基础上，我们假设表型的差异是由于蛋白质代谢的差异造成的。
The field of systems biology is often held back by difficulties in obtaining comprehensive, high-quality, quantitative data sets. In this paper, we undertook an interlaboratory effort to generate such a data set for a very large number of cellular components in the yeast Saccharomyces cerevisiae, a widely used model organism that is also used in the production of fuels, chemicals, food ingredients and pharmaceuticals. With the current focus on biofuels and sustainability, there is much interest in harnessing this species as a general cell factory. In this study, we characterized two yeast strains, under two standard growth conditions. We ensured the high quality of the experimental data by evaluating a wide range of sampling and analytical techniques. Here we show significant differences in the maximum specific growth rate and biomass yield between the two strains. On the basis of the integrated analysis of the high-throughput data, we hypothesize that differences in phenotype are due to differences in protein metabolism.