[Omics and cell controlling technology for drug discovery].

Area of Science:

• Genomics
• Biotechnology
• Bioinformatics

Context:

• Leveraging single-cell and bulk transcriptome technology for large-scale data acquisition.
• Utilizing Quartz-Seq2, a highly accurate gene expression analysis technology developed at RIKEN.
• Addressing the need for improved drug discovery and cell quality in regenerative medicine.

Purpose:

• To present an omics-driven approach for drug discovery and cell regulation.
• To combine large-scale biological data with artificial intelligence for health applications.
• To enhance the control of cellular states for therapeutic interventions.

Summary:

• Knowledge Palette applies high-throughput transcriptome analysis (Quartz-Seq2) to generate extensive cell data.
• This data facilitates phenotypic drug discovery and the development of superior cells for regenerative medicine.
• The integration of big data and AI enables precise cell control for improving human health.

Impact:

• Potential to accelerate the discovery of novel therapeutics for incurable diseases.
• Advancing the quality and efficacy of cells used in regenerative medicine applications.
• Establishing a powerful platform for high-throughput drug screening and clinical specimen analysis.