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Kyoto University Graduate School of Medicine

3 ARTICLES PUBLISHED IN JoVE

Medicine

In vivo Bioluminescence Imaging of Tumor Hypoxia Dynamics of Breast Cancer Brain Metastasis in a Mouse Model

Debabrata Saha¹, Henry Dunn², Heling Zhou², Hiroshi Harada³, Masahiro Hiraoka³, Ralph P. Mason², Dawen Zhao²

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.

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.

Education

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis

Hiromi Shimojo¹, 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.