Welcome to Shimizu Lab.

We are studying metabolic engineering integrated by bioinformatics data.
Main subjects in our lab are

  • Modification of metabolic pathway for biochemicals
  • Creation of stress tolerant cells for bioprocesses
  • Understanding of organisms as systems

Especially,

  • Screening of useful genes based on transcriptome analysis
  • Conferring stress tolerance based on comprehensive phenotype data
  • Prediction of metabolic flux profiles by genome scale metabolic model
  • Precise metabolic flux estimation with metabolomics data
  • Dynamic analysis of gene expression in metabolic pathway
  • Comprehensive phenotypic/Gentic analysis of stress tolerant microoranigams obtained by experimental evolution.


The bioprocesses for production of biochemicals has advantage, regarding with environment-conscious processes. It is highly desired to improve metabolic pathways for maximizing cellular potential in bioproduction. After finishing genome sequencing and elucidation of principal metabolic pathways, rational design of improvement of metabolic pathways and systematic analyses of omics data should be established. In the cells muti-hierarchical network such as gene, protein, metabolite networks exist and elements in the networks are interacting each other. It is well known that there are many cases to fail improvement of productivity and production yield for the targeted product even the gene directly related to synthetic reaction is modified. We are trying to omics data of expression of gene, protein and metabolic fluxes and to establish design of cell factory of your targeted product.

What's New

2025.09.25
News
Congratulations to Hiroki Nishiguchi on the successful and early completion of his Doctoral Program!
2025.09.25
新着論文
Paper entitled "A Method for Predicting Enzyme Substrate Specificity Residues Using Homologous Sequence Information" by Mori (D1) et al., was published in Protein Science.
2025.09.24
学会発表
Prof. Shimizu (Plenary Lecture) and Seiya Mori (D1) presented in KSBB-AFOB 2025 at Incheon (Grant Hyatt Incheon)
2025.06.23
新着論文
Paper entitled "Efficient selection of pyruvate decarboxylase sequences from database for high ethanol productivity in Synechocystis sp. PCC 6803" by Hiroki Nishiguchi et al., is published in Journal of Bioscience and Bioengineering.
2025.06.15
学会発表
Associate Professor Yoshihiro Toya and Assistant Professor Tatsumi Imada presented their research activities at Metabolic Engineering 16, Copenhagen