Project description:Reprogramming a non-methylotrophic industrial host, such as Saccharomyces cerevisiae, to a synthetic methylotroph reprents a huge challenge due to the complex regulation in yeast. Through TMC strategy together with ALE strategy, we completed a strict synthetic methylotrophic yeast that could use methanol as the sole carbon source. However, how cells respond to methanol and remodel cellular metabolic network on methanol were not clear. Therefore, genome-scale transcriptional analysis was performed to unravel the cellular reprograming mechanisms underlying the improved growth phenotype.
Project description:In Saccharomyces cerevisiae, the kinase Rio1 regulates rDNA transcription and segregation, pre-rRNA cleavage, and 40S ribosomal subunit maturation. Other roles are unknown. Human orthologue RIOK1; which is frequently overexpressed in malignancies, drives tumor growth and metastasis. Again, also RIOK1 biology is poorly understood. In this study, we charted the global activity of Rio1 in budding yeast. By producing and systems-integrating its protein-interaction, gene-transcription, and chromatin-binding maps we generated Rio1's multi-layered activity network, which controls protein synthesis and turnover, metabolism, growth, proliferation, and genetic stability. Rio1 regulates itself at the transcriptional level, and manages its network both directly and indirectly, via a battery of regulators and transcription factors, including Gcn4. We experimentally confirmed the network and show that Rio1 commands its downstream circuit depending on the growth conditions encountered. We also find that Rio1 and RIOK1 activities are functionally equivalent. Our data suggest that pathological RIOK1 expression may deregulate its network and fuel promiscuous transcription and ribosome production, uncontrolled metabolism, growth, proliferation, and chromosomal instability; well-known contributors to cancer initiation, maintenance and metastasis.
Project description:A network governing DNA integrity was identified in yeast by a global genetic analysis of synthetic fitness or lethality defect (SFL) interactions. Within this network, multiple functional modules or mini-pathways were defined according to their common patterns of global SFL interactions and available protein-protein interaction information. Modules or genes involved in DNA replication, DNA replication checkpoint signaling, and oxidative stress response were identified as the major guardians against lethal spontaneous DNA damage, efficient repair of which requires the functions of the DNA damage checkpoint signaling and multiple DNA repair pathways. This genome-wide genetic interaction network also revealed potential roles of a number of genes and modules in mitotic DNA replication and maintenance of genomic stability. These include DIA2, NPT1, HST3, HST4, and the CSM1/LRS4 module (CSM1m). Likewise, the CTF18 module (CTF18m), previously implicated in sister chromatid cohesion, was found to participate in the DNA replication checkpoint. Keywords: dose response
Project description:The aim of present study is to understand the impact of genetic engineering event, integration of ClCBH2 gene into yeast genome, as well as the subsequent biological process, such as expression and secretion of CBH2 protein. Further, the ‘dosage’ of genetic engineering event, the copy number inserted ClCBH2 gene, is also of particular interest. In parallel, the relationship between the copy number of ClCBH2 gene and the condition of yeast culture during CBH2 production, as well as the effect of these two factors towards yeast metabolism are investigated. Extensive transcriptomics analysis and comparison were conducted for three CBP yeast strains with different copy numbers of ClCBH2 gene, at two growth rates
Project description: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.