Welcome to the Shiroguchi Lab !        - A Quantitative Omics Lab, Single Cell & Single Molecule Level -

        I have been working in the fields of biophysics and genomics, mainly developing techniques to "see" the unknown. I would like to leverage my experience and skills to continue developing new techniques in order to understand biological systems and to contribute to discoveries in medical science and disease research. In particular, I am interested in seeing shifts in distributions, e.g. of cell states, by accurate system-wide measurements with single molecule and/or single cell resolution. This is important since heterogeneity in cell populations may be one of the key features in biological systems. For example, at the beginning of a disease, homeostasis may start to break down at the single cell level. We are working on some projects that go along this direction. We also are interested in the conbination of imaging technique and gene expression analyses.

Latest News

    Papers accepted

    Patent granted

    Jianshi (Frank) Jin, a former postdoc, became a PI in the Institute of Zoology, Chinese Academy of Sciences.

    Talk in 第17回 日本ゲノム微生物学会 年会

    細胞 (ニューサイエンス社) Vol.55 No.3 p20-23 (p152-155) (2023)

    Paper published
    "Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypes"
    Jianshi Jin, et al.    Proc. Natl. Acad. Sci. USA.    プレスリリース
              featured in 日刊工業新聞,   RNA-Seq Blog,   OPTRONICS ONLINE,   客観日本,   科学新聞,   Science Japan.

    Paper published in Science Immunology

    Talk in 腸内デザイン学会年会

    Talk in DROPLET 2022

    Patent granted

    B&I (BIOSCIENCE and INDUSTRY) Vol.80 No.5 p412-413 (2022).

    Talk in BDR Summer School

    Talk in 新技術説明会 (5)

    Talk in a symposium of The Chem-Bio Informatics Society

    Paper published
    "High-throughput identification and quantification of single bacterial cells in the microbiota"
    Jianshi Jin, et al.    Nat. Commun. 13, 863 (2022).    プレスリリース
              featured in Sciworthy,   客観日本,   日本経済新聞 電子版,   日経産業新聞,   Research Highlight (RIKEN)