[P008] Poster

1:00 PM - 1:50 PM JST(4:00 AM - 4:50 AM UTC)

[P04-522] Development of an Automated Sample Preparation System for Multi-omics Analysis

○Kosuke Hata¹, Yuki Soma², Masahito Hosokawa³, Atsushi Hatano⁴, Taihei Torigoe¹, Masatomo Takahashi¹, Masahiro Ando³, Shinsuke Uda⁵, Shinsuke Inuki⁶, Haruko Takeyama³, Masaki Matsumoto⁴, Takeshi Bamba¹, Yoshihihro Izumi¹ (1. The University of Osaka (Japan), 2. National Institute of Advanced Industrial Science and Technology (Japan), 3. Waseda University3, Niigata University (Japan), 4. Niigata University (Japan), 5. Yamaguchi University (Japan), 6. Tokushima University (Japan))

Keywords:

Multi-omics,Sample preparation,Metabolomics,Proteomics,Transcriptomics

Biomanufacturing using microorganisms and plants is a key strategy for transitioning to a sustainable society that enables carbon cycling, and it is an important field of research that is expected to solve social problems and achieve economic growth. This will be accomplished through the development of innovative elementary technologies and the coordination and integration of these technologies. Recent advances in genetic engineering have made it easier to artificially create strains of bacteria that produce useful substances by introducing multiple foreign genes into various microorganisms. However, further improvements in productivity are essential for societal implementation.Microorganisms and plants maintain homeostasis by dynamically regulating their metabolism in response to their environment. Microorganisms adapt to their environment by regulating their metabolism in response to changes such as genetic disruption, temperature of the culture medium, oxygen and glucose concentrations, and nitrogen concentration. To optimize the metabolic design required for biomanufacturing, it is important to understand the molecular basis of achieving the desired phenotype. Metabolic regulation in response to genetic perturbations is controlled by trans-omics networks, which include direct changes in the metabolome and the expression levels of metabolic enzymes at the translational and transcriptional levels. These networks also regulate enzyme activity through allosteric regulation by metabolites at higher genomic, transcriptomic, and proteomic levels. For this reason, there is growing anticipation and interest in multi-omics analysis spanning the transcriptome, proteome, and metabolome in microbial and plant biotechnology research. However, this is not possible in an inefficient system that relies on individual research. Additionally, integrating biology and digital technology requires high-quality omics data from a large number of samples with high quantitative accuracy. Currently, there are no multi-omics data that meet these conditions.In this study, we report automated multi-omics sample preparation system to advance next-generation biomanufacturing research.