Expression data from Saccharomyces cerevisiae

In response to carbon source switching from glucose to non-glucose, such as ethanol and galactose, yeast cells can directionally preprogram cellular metabolism to efficiently utilize the nutrients. However, the understanding of cellular responsive network to utilize a non-natural carbon source, such as xylose, is limited due to the incomplete knowledge on the xylose response mechanisms. Here, through optimization of the xylose assimilation pathway together with combinational evaluation of reported targets, we generated a series of mutants with varied growth ability. However, understanding how cells respond to xylose and remodel cellular metabolic network is far insufficient based on current information. Therefore, genome-scale transcriptional analysis was performed to unravel the cellular reprograming mechanisms underlying the improved growth phenotype. To gain sufficient xylose-metabolism-related information, we designed a sample pool and divided it into three groups: (1) four constructed strains X029, X058, X109 and X158, with gradually improved cellular growth capacity on xylose; (2) X058 with three different preculture mode, on glucose, ethanol, and xylose, respectively; (3) strains X058 and X158 at different OD600 values, in order to track the cellular metabolism rearrangement on time-course