Genome/Epigenome Analysis
The genome contains not only the nucleotide sequence but also information about which regions are more likely to be read. Using our original technologies as a foundation, we analyze the relationship between genome structure and function at the molecular level.
AI/Machine Learning
Extracting meaning from vast amounts of biological data is beyond the limits of human perception alone. We leverage AI and machine learning for data-driven life science research, including cell state classification, drug response prediction, and gene regulatory network inference.
Optical Microscopy
Observing molecules moving inside living cells in real time. We utilize single-molecule imaging and super-resolution microscopy to visualize nanoscale biological phenomena that conventional microscopes could not capture.
Single-Cell Analysis
Even within the same tissue, each cell is different. We are developing technologies to analyze the genome, transcriptome, and proteome at the single-cell level, aiming to capture heterogeneity and rare cell characteristics that are invisible in population averages.
Multi-omics analysis
A comprehensive and integrated analysis for various species of bio-molecules including DNA, RNA, proteins and metabolites in a cell or tissue.
Molecular Dynamics Simulations
Reproducing molecular motions invisible to experiments on computers. Through large-scale molecular dynamics simulations, we work to understand genome folding structures and protein behavior at the atomic level.
Bioinformatics
How do we interpret the vast amounts of data obtained from experiments? We leverage informatics approaches to extract biological meaning hidden within the data.
Physical/Mathematical Modeling
If we can describe biological phenomena mathematically, prediction becomes possible. We construct models based on principles of physics and mathematics, working to quantitatively understand and predict the behavior of cells and molecules.
Software Development
New analytical methods require software to run them. We develop original analysis tools and databases to maximize the utilization of insights gained from our research.
Large-Scale Genetic Engineering
Comprehensively investigating gene function requires thousands to tens of thousands of genetic modifications. Using technologies to construct and screen large-scale gene libraries, we systematically identify genes involved in drug responses and cellular functions.
Genome Editing
Rewriting targeted genes at will. We utilize genome editing technologies such as CRISPR-Cas9 to validate gene function and create disease model cells.
Cell Differentiation Induction
Creating desired cell types from iPS cells and stem cells. We analyze differentiation processes at the molecular level, aiming to develop more efficient and uniform cell production methods. We envision applications in drug screening and regenerative medicine.
High-Throughput Measurement
Processing thousands to tens of thousands of samples at once. Through high-throughput analysis utilizing robotics and automation technologies, we achieve comprehensive screening at scales that were previously impossible.
Lithography
Applying semiconductor manufacturing technology to life sciences. Using nano- and micro-fabrication techniques, we create devices for precisely positioning and manipulating cells and biomolecules, enabling experimental systems that were previously impossible.
