Events / Exhibitions

Outline

Title

Recent Progress in In-resin CLEM: From Cultured Cells to Glial Cells in the CNS

Overview

In this seminar, Dr. Isei Tanida, Senior Associate Professor of the Graduate School of Medicine, Juntendo University, will introduce a series of principles and applications of in-resin CLEM.
He will also introduce the latest in-resin CLEM, such as Immuno-in-resin CLEM using antibodies.
If you are interested in CLEM, please take this opportunity to attend!

Speaker

Dr. Isei Tanida
Department of Cellular and Molecular Neuropathology, Research Institute for Diseases of Old Age, Juntendo University Graduate School of Medicine

Date

Thursday, November 9th, 2023

Time

24:00 JST / 7:00 a.m. PST / 10:00 a.m. EST / 15:00 GMT / 16:00 CET - Duration: 35 Minutes

Registration fee

Free

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Abstract

Correlative Light and Electron Microscopy (CLEM) is a technique that allows correlation of fluorescent and electron microscopic images. In-resin CLEM is a powerful method that improves correlation accuracy by observing the same resin-embedded ultrathin sections with both fluorescence and electron microscopy. This approach ensures high correlation except for differences in electron beam and fluorescence wavelengths, while improving the Z-axis resolution of the fluorescence signal. In this presentation, we will introduce several techniques of in-resin CLEM. First, we will show in-resin CLEM using fluorescent proteins such as CLEM-Red and CLEM-Green. Next, we will present in-resin CLEM using proximity labeling with biotin ligase. In addition, we will show our newly developed "immuno-in-resin CLEM", which is a method to apply immunological reactions to in-resin CLEM of Epon resin-embedded cultured cells. Finally, we will demonstrate the application of immuno-in-resin CLEM using anti-Iba1 and anti-GFAP antibodies on microglia and astrocytes in the CNS of a mouse model of neuronal ceroid lipofuscinosis. This application shed light on ultrastructural abnormalities of microglia and astrocytes in the CNS of a mouse brain model of neurodegenerative disease.

References

1. Mitsui et al. Glia, 2023,
2. Tanida et al. Heliyon. 9(6):e17394, 2023,
3. Tanida et al. Methods Mol Biol. 2564:287-297, 2023, (4) Sanada et al. Sci Rep. 12:11130, 2022

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