In this research, we will make full use of innovative in vivo imaging technology with medaka as the model organism, in which whole-body high-resolution fluorescence imaging is possible, to identify target molecules for suppressing and treating cancer metastasis and to elucidate the underlying mechanisms. Specifically, as the model organism for cancer, we will develop transgenic medaka lines in which the onset of fluorescence-labeled pancreatic cancer can be observed by the pancreas-specific forced expression of human cancer genes and fluorescent proteins. Furthermore, we will create immune-deficient medaka using genome editing techniques, and by transplanting fluorescence-labeled human cancer cells, we will develop medaka models that enable optically detailed observation of the in vivo kinetics of human cancer cells. As a base for these medaka models, we will use transgenic lines that have already been developed, in which in vivo visualization of the vascular system, including blood vessels and lymphatic vessels, is possible. This will allow us to investigate the relationship between cancer metastasis and the vascular system.
As for the whole-body observation of medaka cancer models described above, we will develop a light-sheet microscope that takes advantage of active optical devices based on liquid crystals (LCs). This microscope will allow us to construct 3D images over a wide field of view without unevenness of illumination light. Furthermore, improvements of LC optical devices will be made to achieve adaptive optics function that enables higher-order correction of not only spherical aberration but also asymmetric coma aberration and astigmatism. By applying these to the light source of a multi-photon excitation microscope, we will develop a microscope that can correct refractive index differences that arise from the heterogeneity of living tissues, and improve z-axis spatial resolution, in particular, thereby making it possible to observe fluorescence in the deep tissues of medaka.
We will integrate innovative medaka cancer models, fluorescence imaging technology, and optogenetic techniques to analyze the process of metastasis in a temporally and spatially dynamic fashion over a wide range or at high resolution, with the aim of identifying target cells and molecules that can be effective in preventing or suppressing cancer metastasis among the various molecules involved in metastasis formation. To perform detailed analysis of the signal transduction mechanisms, we will carry out compound screening by adding low molecular weight compounds into the breeding aquarium of medaka cancer models, and by using a light-sheet microscope to perform macro-level observation of kinetic changes in cancer cells. Moreover, as a means to inactivate identified target molecules in certain cells, we will use optogenetic techniques.
2018
Saitou T., Takanezawa S., Ninomiya H., Watanabe T., Yamamoto S., Hiasa Y., Imamura T. (2018) Tissue Intrinsic Fluorescence Spectra-Based Digital Pathology of Liver Fibrosis by Marker-Controlled Segmentation. Frontiers in Medicine (Lausanne) 5: 350.
doi: 10.3389/fmed.2018.00350.
Imamura T., Saitou T., Kawakami R. (2018) In vivo optical imaging of cancer cell function and tumor microenvironment. Cancer Science, 109, 912-918.
doi: 10.1111/cas.13544.
Saitou T., Kiyomatsu H., Imamura T. (2018) Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information. Scientific Reports, 8: 2826.
doi: 10.1038/s41598-018-21005-9.
2016
Yamamotoa S., Oshimaa Y., Saitou T., Watanabe T., Miyake T., Yoshida O., Tokumoto Y., Abe M., Matsuura B., Hiasa Y., Imamura T. (2016) Quantitative imaging of fibrotic and morphological changes in liver of non-alcoholic steatohepatitis (NASH) model mice by second harmonic generation (SHG) and auto-fluorescence (AF) imaging using two-photon excitation microscopy (TPEM). Biochem. Biophys. Rep., 8: 277-283.
doi: 10.1016/j.bbrep.2016.09.010.
Saitou T., Imamura T. (2016) Quantitative imaging with Fucci and mathematics to uncover temporal dynamics of cell cycle progression. Dev. Growth Differ., 58: 6-15.
doi: 10.1111/dgd.12252.
Saitoh M., Endo K., Furuya S., Minami M., Fukasawa A., Imamura T., Miyazawa K. (2016) STAT3 integrates cooperative Ras and TGF-β signals that induce Snail expression. Oncogene, 35: 1049-1057.
doi: 10.1038/onc.2015.161.
2015
Yoon J.H., Sudo K., Kuroda M., Kato M., Lee I.K., Han J.S., Nakae S., Imamura T., Kim J., Ju J.H., Kim D.K., Matsuzaki K., Weinstein M., Matsumoto I., Sumida T., Mamura M. (2015) Phosphorylation status determines the opposing functions of Smad2/Smad3 as STAT3 cofactors in TH17 differentiation. Nature Communications, 6: 7600.
doi: 10.1038/ncomms8600.
Horiuchi H., Oshima Y., Ogata T., Morino T., Matsuda S., Miura H., Imamura T. (2015) Evaluation of Injured Axons Using Two-Photon Excited Fluorescence Microscopy after Spinal Cord Contusion Injury in YFP-H Line Mice. Int. J. Mol. Sci., 16: 15785-15799.
doi: 10.3390/ijms160715785.
Tsubakihara Y., Hikita A., Yamamoto S., Matsushita S., Matsushita N., Oshima Y., Miyazawa K., Imamura T. (2015) Arkadia enhances BMP signaling through ubiquitylation and degradation of Smad6. J. Biochem., 158: 61-71.
doi: 10.1093/jb/mvv024.
Hikita A., Iimura T., Oshima Y., Saitou T., Yamamoto S., Imamura T. (2015) Analyses of bone modeling and remodeling using in vitro reconstitution system with two-photon microscopy. Bone, 76: 5-17.
doi: 10.1016/j.bone.2015.02.030.
Kiyomatsu H., Oshima Y., Saitou T., Miyazaki T., Hikita A., Miura H., Iimura T., Imamura T. (2015) Quantitative SHG imaging in osteoarthritis model mice, implying a diagnostic application. Biomed. Opt. Express, 6: 405-420.
doi: 10.1364/BOE.6.000405.