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  A thin slice preparation for patch clamp recordings from neurones of the mammalian central nervous system.

Edwards, F., Konnerth, A., & Sakmann, B. (1989). A thin slice preparation for patch clamp recordings from neurones of the mammalian central nervous system. Pflügers Archiv-European Journal of Physiology, 414(5), 600-612. doi:10.1007/BF00580998.

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Edwards, F.1, Author           
Konnerth, A.1, Author           
Sakmann, B.2, Author           
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1Research Group of Cellular Neurophysiology, MPI for biophysical chemistry, Max Planck Society, ou_578557              
2Abteilung Zellphysiologie, MPI for biophysical chemistry, Max Planck Society, ou_578558              

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 Abstract: (1) A preparation is described which allows patch clamp recordings to be made on mammalian central nervous system (CNS) neurones in situ. (2) A vibrating tissue slicer was used to cut thin slices in which individual neurones could be identified visually. Localized cleaning of cell somata with physiological saline freed the cell membrane, allowing the formation of a high resistance seal between the membrane and the patch pipette. (3) The various configurations of the patch clamp technique were used to demonstrate recording of membrane potential, whole cell currents and single channel currents from neurones and isolated patches. (4) The patch clamp technique was used to record from neurones filled with fluorescent dyes. Staining was achieved by filling cells during recording or by previous retrograde labelling. (5) Thin slice cleaning and patch clamp techniques were shown to be applicable to the spinal cord and almost any brain region and to various species. These techniques are also applicable to animals of a wide variety of postnatal ages, from newborn to adult.

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Language(s): eng - English
 Dates: 1989-09
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1007/BF00580998
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Title: Pflügers Archiv-European Journal of Physiology
Source Genre: Journal
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Pages: - Volume / Issue: 414 (5) Sequence Number: - Start / End Page: 600 - 612 Identifier: -