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Article
Nature Methods - 5, 61 - 67 (2008)
Published online: 23 December 2007; | doi:10.1038/nmeth1150

Targeted patch-clamp recordings and single-cell electroporation of unlabeled neurons in vivo

Kazuo Kitamura1, 2, 3, 5, 6, Benjamin Judkewitz1, 6, Masanobu Kano2, 5, Winfried Denk4 & Michael Häusser1

1  Wolfson Institute for Biomedical Research and Department of Physiology, University College London, Gower Street, London WC1E 6BT, UK.

2  Department of Cellular Neuroscience, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.

3  PRESTO, Japan Science and Technology Agency, 4-1-8 Honcho Kawaguchi, Saitama 332-0012, Japan.

4  Department of Biomedical Optics, Max Planck Institute for Medical Research, Heidelberg, 69120 Germany.

5  Present address: Department of Neurophysiology, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.

6  These authors contributed equally to this work.

Correspondence should be addressed to Michael Häusser m.hausser@ucl.ac.uk

Here we describe an approach for making targeted patch-clamp recordings from single neurons in vivo, visualized by two-photon microscopy. A patch electrode is used to perfuse the extracellular space surrounding the neuron of interest with a fluorescent dye, thus enabling the neuron to be visualized as a negative image ('shadow') and identified on the basis of its somatodendritic structure. The same electrode is then placed on the neuron under visual control to allow formation of a gigaseal ('shadowpatching'). We demonstrate the reliability and versatility of shadowpatching by performing whole-cell recordings from visually identified neurons in the neocortex and cerebellum of rat and mouse. We also show that the method can be used for targeted in vivo single-cell electroporation of plasmid DNA into identified cell types, leading to stable transgene expression. This approach facilitates the recording, labeling and genetic manipulation of single neurons in the intact native mammalian brain without the need to pre-label neuronal populations.

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Nature Methods
ISSN: 1548-7091
EISSN: 1548-7105
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