Literature DB >> 15459800

Neuron-transistor coupling: interpretation of individual extracellular recorded signals.

Sven Ingebrandt1, Chi-Kong Yeung, Michael Krause, Andreas Offenhäusser.   

Abstract

The electrical coupling of randomly migrating neurons from rat explant brain-stem slice cultures to the gates of non-metallized field-effect transistors (FETs) has been investigated. The objective of our work is the precise interpretation of extracellular recorded signal shapes in comparison to the usual patch-clamp protocols to evaluate the possible use of the extracellular recording technique in electrophysiology. The neurons from our explant cultures exhibited strong voltage-gated potassium currents through the plasma membrane. With an improved noise level of the FET set-up, it was possible to record individual extracellular responses without any signal averaging. Cells were attached by patch-clamp pipettes in voltage-clamp mode and stimulated by voltage step pulses. The point contact model, which is the basic model used to describe electrical contact between cell and transistor, has been implemented in the electrical simulation program PSpice. Voltage and current recordings and compensation values from the patch-clamp measurement have been used as input data for the simulation circuit. Extracellular responses were identified as composed of capacitive current and active potassium current inputs into the adhesion region between the cell and transistor gate. We evaluated the extracellular signal shapes by comparing the capacitive and the slower potassium signal amplitudes. Differences in amplitudes were found, which were interpreted in previous work as enhanced conductance of the attached membrane compared to the average value of the cellular membrane. Our results suggest rather that additional effects like electrodiffusion, ion sensitivity of the sensors or more detailed electronic models for the small cleft between the cell and transistor should be included in the coupling model.

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Year:  2005        PMID: 15459800     DOI: 10.1007/s00249-004-0437-9

Source DB:  PubMed          Journal:  Eur Biophys J        ISSN: 0175-7571            Impact factor:   1.733


  29 in total

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3.  Extracellular recording with transistors and the distribution of ionic conductances in a cell membrane.

Authors:  P Fromherz
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5.  Noninvasive neuroelectronic interfacing with synaptically connected snail neurons immobilized on a semiconductor chip.

Authors:  G Zeck; P Fromherz
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-28       Impact factor: 11.205

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Journal:  Biosens Bioelectron       Date:  2001-09       Impact factor: 10.618

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Journal:  Phys Rev Lett       Date:  1993-12-13       Impact factor: 9.161

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Authors:  F J SIGWorth
Journal:  J Neurosci Methods       Date:  1995-02       Impact factor: 2.390

9.  Neuron-silicon junction with voltage-gated ionic currents.

Authors:  R Schätzthauer; P Fromherz
Journal:  Eur J Neurosci       Date:  1998-06       Impact factor: 3.386

10.  Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches.

Authors:  O P Hamill; A Marty; E Neher; B Sakmann; F J Sigworth
Journal:  Pflugers Arch       Date:  1981-08       Impact factor: 3.657

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  9 in total

1.  Cell-transistor coupling: investigation of potassium currents recorded with p- and n-channel FETs.

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Journal:  Biophys J       Date:  2005-08-12       Impact factor: 4.033

2.  Transmission electron microscopy study of the cell-sensor interface.

Authors:  Günter Wrobel; Matthias Höller; Sven Ingebrandt; Sabine Dieluweit; Frank Sommerhage; Hans Peter Bochem; Andreas Offenhäusser
Journal:  J R Soc Interface       Date:  2008-02-06       Impact factor: 4.118

3.  Nanoscale Nonlinear dynamic characterization of the neuron-electrode junction.

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Journal:  J Comput Theor Nanosci       Date:  2008-11-01

4.  An optimization-based study of equivalent circuit models for representing recordings at the neuron-electrode interface.

Authors:  V Thakore; P Molnar; J J Hickman
Journal:  IEEE Trans Biomed Eng       Date:  2012-06-08       Impact factor: 4.538

Review 5.  Commercialisation of CMOS integrated circuit technology in multi-electrode arrays for neuroscience and cell-based biosensors.

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Journal:  Sensors (Basel)       Date:  2011-05-04       Impact factor: 3.576

Review 6.  Revealing neuronal function through microelectrode array recordings.

Authors:  Marie Engelene J Obien; Kosmas Deligkaris; Torsten Bullmann; Douglas J Bakkum; Urs Frey
Journal:  Front Neurosci       Date:  2015-01-06       Impact factor: 4.677

7.  Graphene transistors for interfacing with cells: towards a deeper understanding of liquid gating and sensitivity.

Authors:  Dmitry Kireev; Max Brambach; Silke Seyock; Vanessa Maybeck; Wangyang Fu; Bernhard Wolfrum; Andreas Offenhäusser
Journal:  Sci Rep       Date:  2017-07-27       Impact factor: 4.379

Review 8.  Overview of micro- and nano-technology tools for stem cell applications: micropatterned and microelectronic devices.

Authors:  Stefano Cagnin; Elisa Cimetta; Carlotta Guiducci; Paolo Martini; Gerolamo Lanfranchi
Journal:  Sensors (Basel)       Date:  2012-11-19       Impact factor: 3.576

9.  Flexible Sensory Platform Based on Oxide-based Neuromorphic Transistors.

Authors:  Ning Liu; Li Qiang Zhu; Ping Feng; Chang Jin Wan; Yang Hui Liu; Yi Shi; Qing Wan
Journal:  Sci Rep       Date:  2015-12-11       Impact factor: 4.379

  9 in total

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