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Kyoto University Graduate School of Medicine

3 ARTICLES PUBLISHED IN JoVE

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Medicine

In vivo Bioluminescence Imaging of Tumor Hypoxia Dynamics of Breast Cancer Brain Metastasis in a Mouse Model
Debabrata Saha 1, Henry Dunn 2, Heling Zhou 2, Hiroshi Harada 3, Masahiro Hiraoka 3, Ralph P. Mason 2, Dawen Zhao 2
1Department of Radiation Oncology, University of Texas Southwestern Medical Center , 2Department of Radiology, University of Texas Southwestern Medical Center , 3Department of Radiation Oncology, Kyoto University Graduate School of Medicine

Bioluminescence imaging of hypoxia inducible factor-1α activity is applied to monitor intracranial tumor hypoxia development in a breast cancer brain metastasis mouse model.

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Genetics

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
Akihiro Isomura 1,2, Ryoichiro Kageyama 1,3,4,5
1Institute for Frontier Life and Medical Sciences, Kyoto University, 2Japan Science and Technology Agency, PRESTO, 3Institute for Integrated Cell-Material Sciences, Kyoto University, 4Graduate School of Medicine, Kyoto University, 5Graduate School of Biostudies, Kyoto University

Here, we present a protocol to analyze cell-to-cell transfer of oscillatory information by optogenetic control and live monitoring of gene expression. This approach provides a unique platform to test a functional significance of dynamic gene expression programs in multicellular systems.

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Education

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis
Hiromi Shimojo 1, Ryoichiro Kageyama 1,2,3,4
1Institute for Frontier Life and Medical Sciences, Kyoto University, 2Institute for Integrated Cell-Material Sciences (iCeMS), Kyoto University, 3Kyoto University Graduate School of Medicine, 4Kyoto University Graduate School of Biostudies

Neural stem/progenitor cells exhibit various expression dynamics of Notch signaling components that lead to different outcomes of cellular events. Such dynamic expression can be revealed by real-time monitoring, not by static analysis, using a highly sensitive bioluminescence imaging system that enables visualization of rapid changes in gene expressions.

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