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Other departments in Research Institute for Microbial Diseases ›Faculties at The University of Osaka ›
Masahito Ikawa, Professor
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The Ikawa Lab (Department of Experimental Genome Research) develops tools for analyzing gene function using reproductive engineering and developmental engineering, and studies reproductive biology at the level of the whole organism. The lab explains that methods for examining gene function in whole organisms, and animals whose genes have been artificially manipulated, have come to play a role in disease research and basic biological research. In fertilization research, the lab uses knockout mice and transgenic mice to re-examine long-held established theories. The lab carries out its research in collaboration with the Animal Resource Center for Infectious Diseases and the Center for Genetic Analysis of Biological Responses, both affiliated with the Research Institute for Microbial Diseases, and also supports the production of genetically modified animals through the nonprofit organization Developmental Engineering Research Association.
Daron M. Standley, Professor
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The Standley Lab (Department of Genome Informatics) studies the immune system through both collaboration with experimental researchers and development of bioinformatics software. The lab analyzes the immune repertoire, the collection of receptors carried by B cells and T cells, searching for signatures specific to diseases such as cancer, with the aim of using them for diagnosis. The lab has continued to develop MAFFT, multiple sequence alignment software that aligns and compares biological sequences, since its release in 2002. The lab also studies how biomolecules function based on their structures, in collaboration with experimental researchers.
Shota Nakamura, Professor
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The Nakamura Lab (Infection Metagenomics Division) studies infectious diseases using next-generation sequencing, structural analysis, and bioinformatics. The lab was founded with the aim of applying metagenomic analysis, which has been used to search for microorganisms in environmental surveys, to develop a diagnostic method that can detect any pathogen simply and quickly. In its January 2023 message, the lab states that understanding infectious diseases requires close study of the relationships among infectious microorganisms, commensal microorganisms, and humans. The lab's English name is Infection Metagenomics, and it is known by the abbreviation iMet.
Yoichiro Nakatani, Professor
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The Nakatani Lab studies the evolutionary records engraved in the genome to better understand the genomic abnormalities that cause human hereditary diseases and cancer. Using interdisciplinary approaches that include evolutionary genetics, oncology, and bioinformatics, the lab works on genome information analysis, multi-omics analysis, and algorithm development. Its main research is evolutionary genomics, which traces vertebrate genome evolution from the genomes of species such as medaka and lamprey, and cancer genome analysis. The lab is part of the Genome Evolution and Medical Science Group in the Division of Bioinformatics, Bioinformatics Center, Research Institute for Microbial Diseases.
Shotaro Yamazaki, Associate Professor
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The Yamazaki Lab, part of the RNA Informatics Group in the Division of Bioinformatics, Bioinformatics Center, Research Institute for Microbial Diseases, aims to understand the mechanisms of gene expression regulation through analysis of information on messenger RNA (mRNA) and to apply that understanding. Proteins in the body are made when DNA information is transcribed into mRNA and then translated. The lab investigates the complex regulatory mechanisms involved in mRNA transcription, degradation, and translation using the latest sequencing technologies and machine learning. The findings are applied to the development of new medical and industrial technologies.
Jumpei Ito, Professor
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The Viral Informatics Group (Ito Lab) researches bioinformatics and AI technologies that contribute to controlling infectious diseases. Since the COVID-19 pandemic, large amounts of viral genetic information and experimental data have become available, and virology has entered the era of big data. The lab is developing AI that predicts viral properties from genome sequences, as well as AI that searches for viruses in wild animals and livestock. Beyond building new technologies, the lab also aims to generate new insights from large-scale data analysis using those technologies.
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